15 Shopify apps to help you increase average order value (AOV)

We recently flagged up 15 proven techniques to help you increase average order value, which is one of the fastest ways of growing ecommerce revenue. Many of Littledata's customers use the Shopify platform, so I thought I'd take a look in the app store to see what's available to help implement some of these techniques. I found dozens of great apps that can be used to quickly test some of our ideas. In doing so you might just increase conversion rates and other key metrics too. Below are 15 of the best ones - click on the screenshots to check them out in more detail. Many of these apps are paid-for, though normally offer free trials, and in any case the monthly cost is low. You should make back your investment and then some. I've focused on the apps that have high review scores. By installing these apps and launching Littledata's optimisation missions you'll be able to quickly improve ecommerce performance. Do let us know how you get on! CartHook CartHook's app allows you to create a customisable one-page checkout, which helps to simplify the user experience and can improve conversion rates. It also allows you to upsell, by showing customers relevant products after they have completed their initial purchase. CartHook also provides you with the option of showing customers a final thank you page. You can also use the app to build custom funnels for each product. Neat. Littledata integrates seamlessly with CartHook's one page checkout so you can track every part of the ecommerce sales flow. Enquire This app allows you to show customers post-purchase surveys, to help gain valuable insight into what made them buy. You can ask customers all kinds of questions. The default is 'How did you hear about us?', but other questions can help you profile your customers, to gather feedback, testimonials, reviews, or to segment email lists. Use the survey data to refine your marketing efforts, in order to attract the right kind of buyers. Plus, I've heard through the grapevine that a Littledata - Enquire integration is coming soon. Stay tuned! Cross Sell As you might have already gathered, this is a comprehensive cross-selling app. Persuading customers to add more products to their cart is a proven way of increasing average order value. With Cross Sell, you simply hand-pick the products you want to attempt to cross-sell with each item. It comes with the “Smart Cart” feature which recommends cross-sells based on the last product that the user added to their cart. The app will also cover you when the ones you select are out of stock, by showing default products. Upsell Bundled Products Here's another app that does what it says on the tin. Use it to create product bundles. Bundling reduces cognitive load and can be incredibly persuasive, especially when discounts are on offer. This app allows you to package up related products so that customers can buy them with one click. You can create unlimited bundles with the same product, to test different ideas. Discounts can be applied as a set price or a percentage (we advise that you do both, but definitely the former). Countdown Cart This is a widely used countdown app, which has been very well rated. It lets you choose from a wide range of themes to suit your store. The app is free, lightweight and installs very quickly. Features include a classic countdown timer, which puts pressure on the shopper to purchase before the clock hits zero. It also makes use of real-time social proof by show shoppers how many people are viewing items, and how many times something has been sold. This can increase the motivation to buy. Enforcing principles of scarcity can lead to an uplift in conversion rates and AOV. Discounted Pricing You can generate more sales by offering discounted pricing at different thresholds. This app allows you to offer shoppers volume discounts, which is a proven technique to increase order values. Show shoppers how bulk buying becomes more cost efficient, and they might just add more items to their cart to qualify for the bigger discounts. The app allows these discount tables to be visible on all devices, and is quick to set up. AfterShip Returns Center Reduce friction between your shoppers and your store by allowing free returns. This helps to encourage higher spending by creating a ‘risk-free’ purchase experience. With the app, customers are able to submit return requests in a few clicks. The best thing is that you don't necessarily need to lose the spend, as you have the option of adding credits to a customer's account (as well as issuing a refund back to their bank account). Wishlist Plus Wishlist Plus allows users to add products to a wishlist without needing to be logged in. It also syncs wishlists across devices. These features help to remove purchase barriers, and when checking out a shopper may be tempted to add products that are sitting in their wishlist, which will increase order value. The app has gained a 4.9 rating on the Shopify App store, and the reviews reference the "excellent customer service" provided by the developers. Rewardify Rewardify allows you to add credit to your customer’s account when they complete certain tasks such as meeting a minimum spend, selecting a specific shipping option or buying certain items. All great ways to increase AOV. Gift Cards, Loyalty & Rewards You can use this app to offer deals such as a free $10 gift card with the purchase of a $100 gift card, or selling $100 cards for $85. Show these kinds of offers to the right people at the right time and you might just increase AOV. The app also allows you to send gift cards to other people, and to use store credit as an upsell tool. Product Reviews Product Reviews is a simple app that provides a platform for social proof - a key psychological phenomenon to keep in mind when trying to increase AOV. It sends review scores to Google to enhance your listings, and you can also determine which reviews to show and hide. Gift Wrap Plus Many shoppers are happy to pay a few extra pounds to have their products gift-wrapped before they arrive. Installing this app allows you to offer that option, and it is one which can definitely increase your AOV. The app allows for extras such as gift messages, and lets you see your best performing gift-wrap styles. Ultimate Sales Boost Here's another app that focused on urgency and scarcity to boost conversion rates and average order value. It has plenty of features to help you improve merchandising, calls to action, and highlight social proof, such as low stock warnings and 'recently sold' alerts. The app is easy to use and configure, which helps to explain its 4.9 star rating. Smart Shipping Bar Use this to promote shipping offers via a bar at the top of the page, which updates as items are added to the cart. It will show customers when they qualify for free shipping. This is excellent for any store that offers free shipping when a minimum order amount has been reached, such as $50. And that's a proven way to increase AOV. Littledata Before optimising your store you must make sure that you have accurate data, in order to measure the results. We've found that almost nine out of ten Shopify stores have a broken analytics setup, so the chances are that you'll need to make some tweaks. https://www.youtube.com/watch?v=hE4nzZycVLE#action=share The Littledata Shopify app fixes your tracking automatically. It also provides benchmarks against over 12,000 ecommerce sites, so you can compare your own performance vs your peers, and includes a suite of AI-based reporting. What should you do with all that data? Littledata's new Missions feature recommends specific ideas to help you improve the crucial ecommerce metrics such as AOV, add to cart rate, product list CTR, checkout completion, and conversion rates. Missions provide step-by-step instructions for proven ways to optimise sales and conversions. Work your way through the missions and get ahead of the pack!

2018-11-13

Is it worth attending that ecommerce conference?

Ecommerce conference season is upon us. In the past few weeks, the Littledata team was at Shop.org in Las Vegas, Paris Retail Week, and the Google Expert Summit in Waterloo, Canada -- three very different events in three rather different countries. Then we also hit up Agile Cambridge and Technology for Marketing in the UK, the UPRISE fest in Dublin, TechDay LA in sunny Los Angeles and the BigCommerce partner summit in Austin. And while we unfortunately couldn't make ReCharge's Recur event for the subscription industry, or Hawke Media's Hawkefest, the ultimate anti-conference, many of our partners and merchants were there and had awesome things to say. But wait a second. Slow down! With so many exciting events to potentially attend during what is already one of the busiest times of year for those of us in the industry (Black Friday is just around the corner from a marketer's perspective), how do you choose? Is that conference you've been debating attending really worth it? If we've learned anything... Over the years I've had a mixed experience with conferences. But with Littledata we've found a good rhythm. Of course it helps that we're on the cutting edge of new technology, actually using AI and machine learning as opposed to just talking about it, and that we already have major customers around the world, even though we're technically still a 'startup'. This gives us a wide range of high-quality speaking and learning opportunities. But at the same time our productive conference experiences haven't happened by accident, whether for ecommerce or general tech events. We've found such a good conference rhythm -- a dance that produces a consistently high ROI on in-person events -- by looking closely at our own data on a quarterly and yearly basis. Our strategy is always evolving, but some stats have been consistent. For example, we discovered that at the right events: Though we don't necessarily have a higher win rate for enterprise leads from conferences, the sales cycle is condensed, on average 3x faster from meeting to close. This saves our sales team valuable time chasing down leads, and also helps us improve our product, pitches and processes at a faster rate. Agencies we meet in person are 4x more likely to refer us a customer within the next 30 days -- even if we never did a formal product demo. What's your company's take on conferences? Here are a few insights that might help you get more out of the conference experience, whether that means big tech industry events or smaller, focused meetups. There is no such thing as a must-attend conference The great irony with ecommerce conferences is that they tend to be scheduled at what are already busy times for those of us in the industry. Whether it's the shows we attended these past 6 weeks that overlapped with everyone getting back to work after summer holidays, or European standbys like NetComm Suisse's later fall events and One to One in Monaco every March, right after SXSW in Austin, it's either an embarrassment of riches or -- depending on your perspective -- a really confusing hodge podge of hard-to-classify opportunities. There are simply too many choices, and it's especially hard to decide whether to attend a tech conference or meetup if your company has never attended that particular show before. One thing I love about our industry is that merchants (stores and ecommerce managers) and vendors (apps, platforms, consultants, designers and agencies) are all in the same boat. In short, we have no time for BS. We want events that focus on real information, emerging technologies and human connection. So how do you decide? First things first, make your own list. There are a ton of blog posts out there about 'must attend' conferences, those 'not to miss'. Give me a break! Every business is unique, and you're only as viable as your buyer personas. So make a list of conferences, events and meetups that might help connect you with your prime customers and best partners. Brainstorm, look online, ask around. Make your own list and plan to review every quarter. Then once you've made that list, on paper or Trello or however you work best, go through the following checklist with as many members of your team as possible, especially if you can bring in decision makers from both Product and Marketing. A simple checklist When deciding if you should attend a conference for the first or second time, it's useful to have a checklist for quick, consistent analysis. The checklist I use is deceptively simple. It has only 5 indicators. Would one significant sale pay for itself in terms of customer acquisition cost (CAC)? If the conference did work out, is it something you would attend every year? Would it be the right place for you to speak, either now or in the future? Is this your scene, your community? Are there companies, merchants, agencies, vendors etc. attending whom you wouldn't see any other time this year? (Even just one counts, if sufficiently high-value.) In short, if you can tick all five boxes then you should attend the conference. If you can only tick four, it's probably worth attending but needs more debate. If this is the case, then considering point number one in detail -- looking at your current LTV/CAC ratio and considering how the conference could help improve or at least maintain it -- is essential. For ecommerce tech companies like our own, this generally means one big sale or partnership. For ecommerce sites it can also take the form of discovering new tech (like Littledata, Klickly or ReCharge) that will help increase sales and marketing ROI. If you can tick all five boxes then you should definitely attend the conference The checklist works even if you've already attended the conference in the past. Just consider point two already covered and proven! If you're in the ecommerce space, definitely consider platform-specific conferences. Shopify and Magento have regular events and meetups around the world, and word on the street is that BigCommerce will be really ramping up their local partner events in 2019. Shopify Unite has consistently been that rare conference that ticks all the boxes for us here at Littledata, but that doesn't mean we're ignoring others that only tick four. We've cast our net wide (using the checklist of course) and are still seeing results. If you want to get a head start on conference browsing for next year,  Veeqo has created a calendar of best worldwide ecommerce conferences for 2019. Across the board remember this: success at a conference almost never comes in the form of expected outcomes. Yes, the best outcomes will be aligned with your sales and marketing goals, but sometime the biggest benefits will not be clear for 3, 6 or even 12 months down the line. That's why we do quarterly and yearly reviews of all in-person activities, from networking events to large conferences. I suggest you do the same. Most importantly, have fun! Gone are the days of boring trade shows. Show up. Make connections. And if we're there too, come say hi! Maybe nobody can make analytics sexy, but we at least promise to make them useful. And usefulness is a good place to start...

by Ari
2018-10-23

New help center articles on Shopify tracking and ReCharge integration

We recently launched the Littledata Help Center to make it easier for customers to find the most relevant answers to their analytics questions. You can think of it as the more formal, technically-minded cousin of our popular analytics blog (which you're reading right now). With detailed new articles on Shopify tracking and how our ReCharge integration works, the Littledata Help Center is a go-to resource for current customers and ecommerce managers looking for a clearer view of how to use Google Analytics effectively. About our Help Center Like many startups, we began by using our blog as the main support resource, with articles on everything from Google Analytics to GDPR. Yet as we've grown, so have the number of setup guides and technical details we feel we should provide for a seamless user experience. In short, our support articles have outgrown the blog! Not to worry, blog fans. The blog will continue to be a resource for anyone interested in ecommerce analytics. We've been honoured at all the industry attention our blog has received, and we look forward to growing both resources side-by-side in the coming years. Shopify tracking Until you know what to look for, choosing the right Shopify reporting app can seem like a daunting process. There are a number of apps that are good at tracking just one thing, or helping you visualise some of the tracking you already have set up. Littledata's Shopify app is different. It's become especially popular with Shopify Plus stores and medium-sized Shopify sites on the enterprise growth path because it fixes your tracking and provides a full optimisation suite, including automated reports, benchmarks and buyer personas, to help optimise for dramatically higher revenue and conversions. New support articles help break down how this all-in-one solution works, including what you can track with our Shopify reporting app and setup guides for basic and custom installations. ReCharge integration Advanced Google Analytics integration for stores using ReCharge is one of our most popular integrations. It's a streamlined way to get accurate subscription analytics, including marketing attribution and LTV reporting. New support articles break down how ReCharge integration works with Littledata. You'll find guides on everything from how to check if the integration is working, to FAQs and more technical articles about tracking first-time versus recurring payments with GA views. We hope you take full advantage of Littledata's Help Center. Of course, you can always reach out to our support team directly from the Intercom popups on our blog, public site and app. We're available Monday to Friday in time zones around the world. Don't hesitate to get in touch, and remember -- your success is our success!

2018-08-21

Intro to the Littledata app (VIDEO)

How does the Littledata app work? It's magic! Or at least it feels that way. This new video gives a quick overview of how it all fits together. Our ecommerce analytics app is the only one on the planet to both fix your tracking and automate reporting. Our customers see dramatic growth, from higher add-to-cart rates to better return on paid search. But what happens first, and what happens next? If you're an ecommerce marketer using Google Analytics, Littledata will make your job a whole lot easier. The process breaks down to four core steps, which you can repeat as often as you'd like. First you connect your analytics account, marketing channels like Google AdWords and Facebook Ads, and website data from tools like Shopify, ReCharge and CartHook. (And yes, we'll help you comply with GDPR). Then you use the Littledata app to audit your analytics setup and fix your tracking. Shopify stores can fix tracking automatically -- other sites get clear recommendations on what to do. If your goals include higher marketing ROI and increased conversions, the next step is to automate reporting with report packs and a smart dashboard, available directly in the app. And then it's time to optimise revenue with industry benchmarks, enhanced reporting and buyer personas, all built automatically. Sign up today for a free audit of your analytics setup, or book a demo to learn more. A complete picture of your ecommerce business is just around the corner!

by Ari
2018-08-14

CartHook integration for tracking one-page checkouts and upsells

We're excited to announce that Littledata now fully integrates with CartHook. The integration provides automatic tracking for sales from CartHook's one-page checkout and connects that data to marketing channels and shopper behaviour. Littledata -- CartHook integration is the easiest way to get accurate data and smart reporting to improve sales and marketing ROI. All you need is a Shopify store with CartHook Checkout installed (even for just one product) and a Google Analytics account! What is CartHook? CartHook makes it easy for Shopify stores to add customisable one-page checkouts and post purchase one-click upsells. Their intuitive funnel builder lets any store customise the checkout process to increase conversions and decrease abandonment. Features include: Customisable one-page checkout One-click post-purchase upsells, including for subscription products (works great with our ReCharge integration) Product Funnels allow you to send traffic to a pre-loaded checkout page from any landing page Native Shopify integration means no custom coding required! How it works Integrating CartHook with Littledata ensures that all sales activity is tracking correctly in Google Analytics. Littledata weaves together your Shopify and CartHook data and connects it with your marketing channels and campaigns. Why spend developer time on custom scripts and events when you can just activate the integration in a couple of minutes? Benefits of CartHook integration: Sales tracking - Get automatic tracking for sales from CartHook, seamlessly synced with sales made via standard Shopify checkout Marketing attribution - Connect marketing channels and campaigns with shopping cart activity and buyer behaviour Optimisation - Scale the smart way with Littledata's industry-leading optimisation tools, including a personalised dashboard, report packs, benchmarks and buyer personas It's all about accurate data. Littledata's script runs in the background, pulling from CartHook, Shopify, and any other source you've connected to your analytics. If you're an advanced Google Analytics user, you can dig into the improved data collection directly in GA. Read more about why CartHook customers should use Littledata. Setup guide For the Littledata -- CartHook integration to work, you need to have both apps installed for your Shopify store, then connect them by activating the integration. Install CartHook and Littledata Follow these steps to activate the integration Yes, it's that easy! Shopify Plus If you run a larger Shopify store on Shopify Plus, we're here to help you scale. Both Littledata and CartHook offer enterprise plans that include custom setup and a dedicated account manager. Larger stores looking for an enterprise plan or managed services are encouraged to sign up directly and then contact us for a free consultation. If you're a digital agency with multiple customers on Shopify using CartHook, even better! Check out our agency partner program for Shopify experts.

by Ari
2018-07-24

Introducing Littledata's agency partner program

We're excited to announce a new partner program for agencies! The pilot version was a huge success, so now we're opening up the program to any agency looking for a smarter ecommerce analytics solution. If you're using a BI dashboard and maybe some tools like Data Studio and Supermetrics, that's great, but you still need an advanced analytics solution like Littledata. Our app takes data science to the next level by actually fixing your customers' Google Analytics setups to ensure accurate tracking at every customer touch point. Then the app uses that data to automatically build smart, relevant reports. Additional benefits for partners include advanced setup with GTM and Facebook Pixel, custom reporting and analytics training. It's a win-win! If you're a digital agency with ecommerce clients, Littledata will make your job a whole lot easier. Ecommerce analytics for agencies Partnerships are at the centre of our business. At Shopify Unite this year, we announced the pilot phase of this new program that makes it easier for marketing agencies and ecommerce site developers to bring accurate analytics to their clients. But while Shopify is our most extensive integration, our agency partner program is designed for anyone working the ecommerce space, whether your clients are on Shopify Plus, Magento, Demandware, another platform or a custom build. As long as they're using Google Analytics to track marketing and shopping behaviour, Littledata will help you help them. Key benefits for agencies: Guarantee accurate data for your customers Save time by automating Google Analytics setup and reporting Automated reporting with proven results for ecommerce growth Custom views and dimensions in GA that you can use however you want Google-certified account managers to answer customer questions about analytics Easy access to client reports with our team members feature Analytics training for your team Complete ecommerce analytics suite: Scan and fix tracking issues with our industry-leading analytics audit tool Automate reporting with both pre-built report packs and custom reports for your client base Smart marketing tools, including buyer personas and Enhanced Ecommerce tracking for more effective AdWords retargeting Web and ecommerce benchmarks, plus an option for private benchmarks among your clients Subscription analytics for clients selling subscription boxes or offering subscription plans (we offer the only advanced Google Analytics integration for ReCharge stores) Easy integrations with apps like Refersion and Carthook How it works Our onboarding process for ecommerce agencies is very straightforward. It starts with a conversation where we can learn about each other's businesses. If it's a good match, we move on to sign a partnership agreement with clear terms for referrals and revenue share, then get you started with a test account for your first referral. The Littledata app creates a test property so that you - and your client, if you wish - can see how our tracking compares against the current Google Analytics setup. Once you go live with the new tracking, we work directly with your team to help you get the most out of the app's functionality, and begin to develop custom reports and private benchmarks, depending on what's most relevant to your agency business model. We also build a co-marketing plan with your team to help the partnership reach the right customers at the right time. And then - you got it - we grow together to take over the universe! Or at least we help growing ecommerce sites reach exponential levels of growth. (Read some customer stories.) Littledata's agency partner program is highly selective, but we do try to respond to all inquiries. So if you're looking for better ecommerce analytics for your clients, please do get in touch.  

by Ari
2018-06-28

Six challenges in developing a Shopify integration

At the start of 2017 Littledata released its first Shopify app. A year on, here are my observations on the technical challenges we’ve overcome. This week we're at Shopify Unite in Toronto, and it's no surprise that their app ecosystem continues to grow. We chose Shopify as our first platform partner due to their open APIs, quality documentation and enthusiasm from other developers. Much of that has been as expected, but to help all of you looking to build your own Shopify app I’ll share some of our learnings on the hidden challenges. Littledata's Shopify app makes it a one-click process for stores to set up for Enhanced Ecommerce tracking in Google Analytics, and then get actionable insights based on the Google Analytics data. It has to hook into Shopify orders and products, as well and modify the store's theme and process ongoing transactions. 1. Handling re-installs gracefully The great advantage of Shopify’s app store over, say, Magento marketplace, is that any store admin can install and pay for an app with a couple of clicks. The disadvantage is that stores can be as quick to uninstall as install. Store admins may start, realise they don’t have permissions, time or energy to continue and roll back to try again later in the day. Since our app inserts a snippet into the store’s theme layout (see point two below), uninstalling removes the web-hooks we set up but does not remove the inserted snippet. When a store re-installs our app has to work out what state they were in when they uninstalled (audit, test mode or live), whether the script snippet is still there and what settings have been changed in the meantime. It took us a few months to get a handle on all the possible user flows, and we’ve found automated end-to-end tests to really speed up running through the different scenarios. In our Meteor framework we use Chimp [link] to run tests through Selenium on localhost and on our staging server. We've also found it essential to track our own stats of 'installs + activations' (including the date of first install and time to finally uninstall) rather than relying on the Shopify Partner stats of uninstalls and installs, which can hide the detail in between. 2. Working with script tags The other side-effect of making apps easy to install is that you can assume the early-adopter stores who will try your app already have lots of other installs. Shopify recommends using the Script Tag API to handle scripts linked to the app, so that when a store uninstalls your app it also removes any client-side scripts from the store. Unfortunately, in early tests we found the load latency to be unacceptably high: on some stores, only 50% of the page load events were getting fired before the user moved off the page. So plan B was add a snippet to the store theme, and then load this snippet at the top of the <body> element on all the layout templates. This has worked much more predictably, except when theme editors remove the snippet reference without enquiring what the Littledata app does (see our fifth challenge). 3. Charge activation vs authorisation Now a very simple gotcha. In our first month we had around 60 installs at a flat price of $20/month, but apparently no revenue. After investigation we found we had not activated the recurring charges after the store admin had authorised them. Doh! We're still not sure why an app would want to have authorised charges which are not activated -- seems like over-engineering on Shopify's side -- but luckily it was easy to correct without asking for more user permissions. 4. Tracking adds-to-cart The first version of our app tried to run the script when customers got to the ‘/cart’ page of a store. The problem here is that many stores have AJAX or ‘mini’ carts where customers can checkout without every visiting the cart page. We looked to trigger the script before the user got to the cart the page, but this appeared to run too many risks of interfering with the customer actually adding the item. Our final solution has been to poll the Shopify store for the current cart, and see if products have been added (or removed) since we last polled (and stored the previous cart contents in memory). This is somewhat inefficient, as it requires continuous network activity to grab the cart JSON from Shopify, but we’ve reduced the network requests to one every 4 seconds – judging that customers are very unlikely to add a product and checkout in less than 4 seconds. This cart polling has proved more reliable across different store templates. 5. Integrating with other Shopify apps I mentioned that early-adopter stores tend to have lots of other apps: and those apps have loyal customers who push to make Littledata's app to work their chosen app (not just vanilla Shopify). The challenge is that most of these app development companies run a very Agile process, constantly changing how their app works (hopefully to improve the experience for store owners). An integration that worked a few months ago may no longer work. We've found the best solution to be open developer-to-developer communications, via a Slack guest channel. Having the developers implementing the features on each side talk to each other really cuts down the delays caused by a well-meaning project manager slightly misinterpreting the requirement. 6. Handling ongoing updates As tested improved client-side tracking scripts, we needed to update the script in the store theme (see point 2 above). This creates a small risk for the store, as there is no UAT or test environment for most stores to check before going live with the new script. The store theme may also get edited, creating new layout templates where the Littledata snippet is not loaded. In the first version of our app we tried to update and re-insert the latest Littledata snippet automatically on a weekly cycle. However, once we reached hundreds of active installs this became unmanageable and also opaque for the store admins. In the latest version we now allow store admins to UPGRADE to the latest script, and then we check all the correct Google Analytics events are being fired afterwards. Giving the end user control of updates seems a better way of maintaining trust in our brand and also removing risk: if the update goes wrong, it’s quicker for us to alert the store owner on how to fix. Conclusion I’m still sure we made the right choice with Shopify as a platform, as their APIs, partner support and commercial traction are all number one in the ecommerce world. But I hope that by sharing some of the hidden challenges in developing Shopify integrations, we can all build better apps for the community. Have you built something for the Shopify app store? Are there development problems you’ve encountered which I haven’t shared here? PS. Are you a developer interested in joining an innovative analytics company? We're hiring in multiple locations!

2018-05-07

How Littledata helps Shopify stores comply with GDPR

When the GDPR regulation comes into effect later this month, it will impact all websites trading with EU citizens. That means any ecommerce site with customers in Europe! Is your Shopify store ready to comply? We recently updated our Shopify app (since release 7.8) to help Shopify stores which use Google Analytics comply with GDPR. In addition to automatic fixes to help your store comply, we include recommendations for how to update your site content (such as Terms and Conditions), and how to deal with the new 'two year rule'. If you're running a Shopify store, the time to act is now. Automatic fixes with our Shopify app The first two steps are done automatically when you install our GDPR-ready Shopify app. If you're already using Littledata's Shopify app, these two fixes can be applied when you upgrade to our latest tracking script (version 3.2). Here's what they address. 1. Anonymise customer IP addresses The IP address of your website visitor is considered personal information under GDPR, and to remove any risk that this is sent to Google’s servers in the USA, our script scrambles the last few digits of the IP address. Google already promises not to store the IP address, so this step is an extra level of safety. This slightly reduces the accuracy of tracking which city your visitor came from -- but we believe that this is a small price to pay for ensuring anonymity. 2. Filter personal emails and ZIP/postcodes from pageviews Many sites accidentally send personal data in the page URLs or titles tracked by Google Analytics. For example, apps with their own checkout often send the user email as a URL parameter like ‘/url?email=myname@gmail.com’. Our script now filters that personal data out at source, so the page path you’ll see in Google Analytics is ‘/url?email=REMOVED’. Additional manual steps There are two additional manual steps to ensure that Google Analytics for your Shopify store is GDPR-compliant. 3. Update your terms and conditions You need to update your website T&Cs to ensure users are aware of the Google Analytics Advertising Features that our Shopify app activates and Google uses to identify user demographics, such as gender and interests. We are not lawyers, but we suggest using something similar to these sentences to describe what data is collected, how you (and we) use the data, and how how users can opt out: Our site uses Google Analytics Advertising Features to deduce your gender, age group and interests based on other types of websites you have visited. We use this in aggregate to understand which demographics engage with areas of our website. You can opt out with Google's browser add-on. 4. Remove user-specific information after 2 years You should also change the data retention period for your Google Analytics web property, so that Google removes all user-specific information from their database after 2 years. To make this change, logging to your GA account and go to the Settings cog, and then Property > Tracking info > Data Retention. Use the 'data retention' drop-down menu to select to keep user data for 26 months, and mark 'reset on new activity' to ON. This means that after 26 months, if the user has not come back to your website, any user cookie will be deleted. We think this sensible to comply with the Right to Erasure without making any practical limits to your analysis. Right to Erasure feature coming soon! We're also working on a feature to help websites comply with the Right to Erasure or Right to be Forgotten. Here's a summary of that aspect of the regulation, from the summary of key changes at EUGDPR.org. Right to be Forgotten Also known as Data Erasure, the right to be forgotten entitles the data subject to have the data controller erase his/her personal data, cease further dissemination of the data, and potentially have third parties halt processing of the data. The conditions for erasure, as outlined in article 17, include the data no longer being relevant to original purposes for processing, or a data subject's withdrawing consent. It should also be noted that this right requires controllers to compare the subjects' rights to "the public interest in the availability of the data" when considering such requests. Littledata's Right to Erasure feature will ensure that when you delete a customer from your Shopify admin interface, any references to that customer are deleted from Google Analytics. This won’t affect aggregate reporting, such as number of web sessions or transactions. When do GDPR regulations take effect? The official enforcement date for General Data Protection Regulation (GDPR) is 25 May 2018. At that time any organisations in non-compliance may face heavy fines. In short, we recommend implementing the fixes above ASAP for your Shopify store. All you need is Google Analytics account and our Shopify app. And do check our blog regularly for updates. This is the best place to hear about new Littledata features relating to GDPR, as well as news and analysis about how the regulations affect different types of online businesses, including ecommerce websites, subscription businesses, and membership-based sites such as large charities and nonprofits. Looking for additional support? Contact us about GDPR consulting for analytics setup.

2018-05-02

New webinar: Google Analytics for Shopify stores

Have you ever been browsing the Shopify app store and wished that you could hear directly from founders and app developers about how their products work? Our new free webinar lets you do exactly that! We're dedicated to providing free learning tools for Shopify stores. In the webinar recording below, you'll hear directly from our CEO and Product Director about how the Littledata reporting app works for Shopify sites on the growth path. Interested in automating your Google Analytics reporting? Great. Confused about how to connect your marketing campaigns to checkout steps and buying behaviour? No problem - we've got you covered. Problems are our business :) Google Analytics made easy for Shopify stores Join Edward Upton to get the lowdown on optimising Google Analytics for Shopify. Put on your thinking caps and get ready for Shopify Reporting 101. In the recorded webinar, Ed gives a product overview and covers a range of FAQs: Common issues with Shopify's native reporting How to get accurate data across the customer life cycle with Google Analytics Who uses Littledata How our automated reporting works The connection between marketing and revenue Our live webinars are designed for ecommerce sites, marketing agencies and everyone in between. We adapt the content based on questions from participants, so please don't hesitate to reach out with questions and suggestions. Ready for smarter growth? Sign up for a free trial of our Shopify reporting app today! The trials extend to all plans, so you can fix your analytics and fully test our feature set. PS. If you're looking for info on our Shopify app integration partners, check out these posts on ReCharge and Refersion.

by Ari
2018-04-04

How to add Littledata's code snippet to your Shopify store templates

For most Shopify stores, the Littledata - Google Analytics reporting app automatically adds our tracking script to your shop's template. However, if your store has a custom template/layout, there will be some cases where our app isn't able to do this automatically. Luckily it's super-easy to resolve this issue by adding a code snippet yourself. Once you add the code, your store will automatically call our tracking script at just the right time. That way we can help you get accurate data across the customer life cycle. In this quick how-to guide I'll show you how to add the code snippet. How to add the snippet to your shop's code 1. Edit the code in your Shopify admin Go to your Shopify Admin > Online Store > Themes > Actions > Edit code. 2. Copy the snippet Copy the following snippet. (Even though our script has already been added to your store, it still needs to be called for each Layout.) [code language="javascript"] <!-- Start of Littledata - Fix Google Analytics Script--> {% include 'LittledataLayer' %} <!-- End of Littledata - Fix Google Analytics Script --> [/code] 3. Paste the snippet Now paste the snippet in every one of your store's layouts, just under the <body> tag. In the example below, we'll paste the snippet in row 77. 4. Save and repeat After you paste the code, click Save and repeat the steps above for each layout. Note that you will need to make this change for each layout when you are installing our app, but also when you create another layout for a new campaign. Anytime you create a new layout, just follow the steps above to add the right code snippet. That's it! You're now all set to get a consistent stream of accurate data and intelligent insights for your Shopify store. Remember that it takes about a week for the new analytics setup to start producing useful reports. If you've followed these steps but still have questions, please don't hesitate to get in touch with our team. We <3 code. And we're here to deal with it so you don't have to :)

2018-03-07

Treasure hunting tools for Shopify stores (VIDEO)

These days, you can sell just about anything online. From subscription boxes to charities, everyone is using websites and mobile apps to enhance the customer journey. But even if you advertise on the right channels, how do you know if your marketing is working? And how do you connect that traffic to revenue? Watch this quick video to see how the right analytics setup will help you avoid getting shipwrecked on the seas of ecommerce, whatever you might be 'selling' online. https://www.youtube.com/watch?v=hE4nzZycVLE Google Analytics can take you much deeper than Shopify’s native reporting, but setting it up correctly is difficult without the right tools. Littledata gives growing Shopify stores a clear map of shopper behaviour, from marketing campaigns -- how people find you -- to the intricacies of buying behaviour: what customers buy, how they buy it, and who will want to buy more. Our Shopify reporting app automatically audits your Google Analytics setup to make sure you’re tracking everything you should be, and tracking it correctly. We give you accurate data and smart reports on everything from marketing channels like Google AdWords, Facebook and Twitter, to product performance and shopping cart activity, including details like checkout steps and voucher codes. The app makes it easy to tie every aspect of your store back to revenue, so you can make decisions like a captain instead of drifting along in the back of the boat and drawing the map as you float along. And we integrate seamlessly with other popular Shopify apps, including ReCharge and Refersion, so your analytics will always match every touch point in the customer journey. Sign up for free today and we’ll start building a personal treasure map for your Shopify store. Pricing is based on transaction volumes (but you're free to upgrade to a higher plan at any time), and all plans include a free 14-day trial!

by Ari
2018-01-30

Shopify vs Magento: How to choose an ecommerce platform

How do you choose between Shopify and Magento? Hostinger's Laura Ramonaitytė breaks down the differences between these popular ecommerce platforms. Taking your offline business online, or starting a new online business from scratch, can be overwhelming. However, if you take time to do research and choose the right ecommerce platform for your particular business, you'll alleviate stress and have a much greater chance of success. With so many options in the market, it can be difficult to know that you're making the right decision. Nevertheless, your first preference should be choosing a platform that can fulfil not just current but also future requirements of your online store, at least as much as you can estimate those future needs. To help you make this difficult decision, we've compared the two most popular ecommerce platforms: Shopify and Magento. We look at a number of different categories and performance areas, so make sure to read through the entire post to help you make the best decision for your business. Core differences Before starting the detailed comparison, let’s take a look at some core differences between Shopify and Magento. Shopify is a complete ecommerce platform, while Magento is free and open-source software. For Shopify, secure web hosting is included in all main subscription plans, whereas for Magento you need to set up your own hosting. Both platforms have technology ecosystems with apps and themes to help you customise your site and track online sales and marketing, but Shopify's app store is much more robust and developed, with over 2,000 apps available since they opened to third-party developers in 2009! Let's dive deeper into differences between the platforms. Pricing These platforms handle setup and operating costs differently. Shopify provides a 14-day free trial. After that, users need to purchase a monthly subscription (you can start the trial and then decide on a plan, which is a nice touch). Users can choose from 3 main subscription plans, currently ranging from $29-299 per month, plus lite (for basic selling via Facebook and  'buy' buttons) and enterprise (Shopify Plus) options. Shopify is a fully hosted platform, which means you pay a flat fee per month for a plan that includes hosting. It's worth mentioning that credit card charges and transaction fees can be extra. On the other hand, Magento offers two pricing options: Magento CE and Magento EE. Magento CE (Community Edition) is free for download and use, and you are not required to buy any monthly subscription. It can be a perfect option for small and mid-sized businesses. Magento EE (Enterprise Edition) is another option, ideal for larger online stores and established businesses. The price depends on the size of your business. You can find the exact pricing by contacting Magento specialists and requesting a quote. Startups.co.uk estimates that the costs for setting up and maintaining a Magento EE site are a good fit only for larger ecommerce sites and enterprises: To give some indication, a very basic Magento shop selling less than 6,000 products, that uses pre-made Magento themes, will cost you in the region of £20,000 to £40,000. On the other hand, if you have cheap web hosting, a Magento CE site using a free theme could be quite affordable, as long as you have the expertise to maintain it. Conclusion: Shopify has fixed pricing while the cost of Magento depends on different factors such as the costs of hosting plans, technical support and plugins. If you're an experience ecommerce developer, Magento probably gives the best cost-benefit. Otherwise, Shopify is a better deal. Templates and Designs Elegant templates and designs are a crucial part of any online store. The template which looks and feels good can attract more people and eventually earn more revenue. Screenshots from the Seaside style of the Providence theme for Shopify Shopify has it own theme store, where users can look for beautifully designed, highly-responsive templates and themes. However, since Shopify is a hosted shopping cart, users get limited options for customizations. That said, Shopify's themes are awesome for plug-and-play. The themes are organized by industry, such as Furniture or Clothing, and also by type of store, such as themes optimised for stores with very small (or very large) inventories. Shopify themes generally cost over $100 but include useful features like Instagram product feeds. Screenshots from the free Absolute Theme for Magento Since Magento is open source and has been supported by a large developer community from the start, it has a range of template options. There are free and paid themes available in the Magento Marketplace, and most are mobile responsive, but there is also a huge variety of free and paid themes available from independent front end developers around the world. It's worth noting that some  Magento stores with solid coding experience do create custom themes on their own as well. Here's a guide to theme development if you're running Magento 2. Conclusion If you're looking for more theme options and customization, Magento is the winner. On the other hand, why start from scratch? Whatever you're looking for, it probably already exists in a Shopify theme! SEO Optimization If you are starting your online store from the ground up, it is necessary for you to pick the ecommerce platform that has SEO capabilities as well. Nowadays, more than half of all online purchases begin with an online search in search engines like Google and Bing. Therefore, it is crucial that ecommerce platform you have chosen supports various search optimization techniques. In our analysis, the overall SEO score for Magento is 95 out of 100 whereas Shopify's SEO score is 98 out of 100. Shopify is a highly SEO-optimized platform that has all the basic and advanced SEO features in all its plans. You can easily edit your title tags, meta description, page URLs, according to your requirement. Besides this, you can also customize your image file name and also edit alt tags as per SEO requirements. Like Shopify, Magento is also a fully SEO-optimized ecommerce platform that supports extensive SEO functionality. Along with basic SEO settings, it also provides some advanced SEO options, including canonical tags for separate categories and products, robot.txt files, image optimization, meta tags for products and home page. Conclusion Both platforms seem equally competent in terms of SEO optimization. As long as you have an organized content strategy, you can take advantage of the SEO capabilities of either platform to get more traffic. Customer Support Reliable support is more important than anything else. As a newbie, you may need to access customer support many times in a day. Consequently, invest in the company that has better technical support and back up based on what your needs might be. Shopify provides 24/7 technical support, which means that you can access support day and night whenever needed. There are three ways you can access their customer support team: Email Support Phone Support Live Chat Magento’s customer support does not include any official service. However, you can look for answers to your queries in its extensive developer community, Magento Forums, and in their documentation. Almost all platform-related queries are already answered there. Conclusion: This is the category where Shopify is definitely the winner. Final Thoughts In conclusion, both Shopify and Magento have various stunning features and they can manage your online store efficiently and help to boost your revenue. Magento is an open source platform and is more flexible, but you need to have the staff and knowledge to develop it. Features, customer support and ease of use probably make Shopify a better ecommerce platform for a standard ecommerce business. I hope this post inspires you to dig deeper and make an informed choice before launching your online store, whichever platform you choose. There are other platforms available as well, such as WooCommerce (Shopify vs WooCommerce), so don't just pick one randomly! Hostinger is a leading worldwide cheap web hosting provider.

2018-01-17

Our top 5 posts from 2017

We're an ecommerce analytics company, so it's no surprise that Shopify and Google Analytics top the list of topics in our most-read and most-shared posts of 2017. But what continues to surprise us is how many online businesses know that their analytics setup needs to be fixed, but put off the decision to take action. Luckily tools like our Shopify reporting app are making it easier than ever to get accurate data and automated reporting that really drives revenue. If fixing your tracking and making decisions based on trustworthy data wasn't your main new year's resolution for 2018, it should be! Here are the top 5 posts from our analytics blog in 2017. They should provide some inspiration. 1. Is Google Analytics compliant with GDPR? From May 2018 the new General Data Protection Regulations (GDPR) will come into force in the European Union, causing all marketers and data engineers to re-consider how they store, transmit and manage data – including Google Analytics. This popular post looks at basic and full compliance. The rights enshrined by GDPR relate to any data your company holds which is personally identifiable: that is, can be tied back to a customer who contacts you. 2. Shopify Marketing Events vs Google Analytics The ability for other Shopify apps to plug their campaign cost and attribution data into Shopify (via the new marketing events API) is a logical step to building Shopify’s own analytics capability, but is it really a viable substitute for Google Analytics? Google already has a team of hundreds working on Google Analytics, and it seems unlikely that Shopify will be able to dedicate resources to keep up with the functionality that power users need. 3. Is Google Analytics accurate? 6 common issues and how to resolve them How do you know if your Google Analytics setup is giving you reliable data? In this much-linked blog post we look at common problems and explain what can be done to make your tracking more accurate. If the journey of visitors on your site proceeds via another payment processor or gateway, you could be losing the link between the sale (or goal conversion) and the original marketing campaigns. 4. How to increase revenue with Refersion and affiliate marketing Affiliate marketing consistently outperforms other channels for ecommerce businesses. In this special guest post, our integration partner Refersion shares essential tips about how Littledata customers can get a piece of the action. When customers come through affiliate channels, their average customer revenue is 58% higher than other channels. 5. What you can track with our Shopify app Here at Littledata we believe that everyone should have access to professional-level analytics tools for tracking, reporting, and improving sales and engagement. That’s why we built the ultimate Shopify reporting app. This much-shared post outlines 'Shopify’s Standard Tracking vs Littledata for Shopify'. It's a match we're betting on! Shopify is one of the best ecommerce platforms on the planet, but their standard analytics are extremely limited.

by Ari
2018-01-11

6 essential benchmarks for Shopify stores

Understanding how your website performs versus similar sites is the best way to prioritise what to improve. In this post we take a look at 6 top benchmarks for optimising Shopify store performance. Accurate benchmark data is especially useful to the increasing number of ecommerce companies using web performance benchmarks, such as bounce rates and home page reliance, as core elements of their sales and marketing KPIs. Understanding benchmarks is a key to success. To put together this new benchmarking report, we analysed current data from 470 Shopify retailers. If you're wondering how you compare, check out our Shopify analytics app. Average order value Average order value (AOV) or Average revenue per paying user (ARPU) is the total monthly revenue divided by the number of users which transacted that month. It is a measure of how well you are up-selling and cross-selling your products, depending on your product mix. What is a good average order value for Shopify stores? The benchmark is $69. The average is slightly lower ($63.50) if you are a smaller Shopify store. More than $120 AOV would put you in the top quartile, and one of our top-performing stores in the luxury ecommerce sector is averaging $2,080 per order! If your Shopify store has a lower AOV than the benchmark, you might try increasing your average checkout value by cross-selling other products, offering free shipping above a minimum threshold or increasing pricing on selected products. Ecommerce conversion rate Ecommerce conversion is the number of purchases divided by the total number of sessions. Most visitors will take more than one session to decide to purchase, but this is the standard measure of conversion rate. It is a measure of how good a fit your traffic is for your products, and how well your site converts this traffic into customers. What is a good ecommerce conversion rate for Shopify stores? The benchmark is 1.75%. Larger stores have pushed this to 1.85%, and if you are more than 2.8% you are in the top quartile. The highest conversion rate we’ve seen on Shopify is 8%. Can you increase the conversion rate with more attractive product displays, or improving the checkout process? Enhanced ecommerce tracking will help you identify exactly where the blockers lie. Bounce rate from mobile search Since more than 60% of Google searches are now done on mobile, ensuring your site design works on a small screen is important for branding and sales. Bounce rate is the percent of visits of only one page – and will be high if your landing pages do not engage. Google will even adjust your mobile ranking for a given keyword depending on what proportion of visitors stick on your page - a good indication that your link was useful. What is a good bounce rate from mobile search for Shopify stores? The benchmark is 47.5%. The biggest Shopify stores have got this below 40%, and overall large retailers have 38% mobile bounce rate. So it’s not a problem with the Shopify platform, so much as a problem with the store theme – or how the options and products are displayed on a smaller screen. Can you improve the first impressions of the landing pages, put key content higher up the page, or decrease the page load speed to reduce that bounce rate? Delay before page content appears The delay between a page request by the user and them being to read or click on that page. This is more important than full page load speed for AJAX / lazy loading sites (also called the ‘DOM Interactive Time’). What is a good delay time before page content appears? The benchmark for Shopify stores is 2.75 seconds. Even larger retailers have this down to 2.8 seconds, so Shopify sites do well on this score. Anything less than 3 seconds is generally acceptable. Internet users are increasingly intolerant of slow sites. Your developers could look at Google PageSpeed Insights for more details. Often the delay will be down to extra scripts which could be delayed or removed. Server response time This is the part of the page load speed which is entirely outside of your control – and due to the speed of the servers your site runs on. What is a good server response time for Shopify stores? The benchmark is 322ms. The average for larger ecommerce is 542ms – so Shopify’s server infrastructure is serving you well here. Reliance on the homepage This is the percent of visitors who land on your homepage. If this is below 40% you rely heavily on your homepage to capture brand or paid search traffic. Google increasingly rewards sites with a greater volume of landing pages targeting more specific keyword phrases. What is a good reliance on homepage percentage for Shopify stores? The benchmark is 32%. Larger Shopify stores, with many more landing pages, have reduced this to 7.3% of traffic landing on the homepage on average. Can you build out product landing pages and inbound links to copy their advantage? Ready to benchmark your own website, stop playing guessing games and start scaling your ecommerce business? Our Shopify reporting app is the easiest way to get accurate benchmarking. Install Littledata today and you'll get instant access to up to 20 relevant industry benchmarks for ecommerce sites, plus the tools you need to fix your analytics for accurate tracking, so you'll always know for sure where your website stands. It's all about smart data that helps you focus on making changes that drive revenue and increase conversions. We're here to help you grow!

2017-11-14

ReCharge report pack for subscription-based businesses

There's never been a better time to grow a subscription-based business. But the landscape is also more competitive than ever. How do you rise above the noise and obtain devoted subscribers? With our new ReCharge report pack, any recurring-product business can get advanced analytics to help obtain a devoted subscriber base. It's the latest addition to our automated packages of analytics reports. The new pack includes a curated selection of reports proven to help subscription-based ecommerce sites get more traffic and increase recurring revenue. Each report automatically pulls relevant data from your Google Analytics account and turns it into actionable reports, with essential tables and smart visualisations. Growth of subscription-based businesses From vitamin supplements to hacker boxes, product subscription companies are on the rise. Getting products in the mail every month is a huge chunk of the future of ecommerce. According to the Subscription Trade Association (SUBTA), the subscription box industry alone is on track to generate more than $90 billion in annual revenues in the coming decade. SUBTA itself was only formed a little over a year ago, coalescing around this exciting new ecommerce community, and their first events have all sold out. Entrepreneurs who want a piece of subscription industry growth need to optimise every part of the customer life cycle. You don't just need more traffic, you need better-quality traffic. And you don't just need to improve the user experience (UX) on your site, you need to create an engaging customer experience (CX) that drives conversions, brand devotion and upsells. Sounds easy, right? Think again. Luckily there are solutions like ReCharge and Littledata that work out of the box to help you run and optimise a subscription business. What's in the new report pack Our popular ReCharge integration was built to give subscription-based companies accurate marketing attribution for signups and sales in their Shopify stores, but it's quickly grown to be even more detailed, offering deep analytics across the subscription customer life cycle. Automatically connecting marketing campaigns to recurring payments is just the beginning. The first ReCharge report pack makes it easy to keep tabs on where your customers are coming from, the balance between new signups and recurring payments, and how different subscription plans are contributing to revenue. The pack contains a general overview widget plus four key reports for digging deeper into recurring revenue. Which marketing campaigns are driving the most first-time purchases? Is organic search outperforming your PPC campaigns? Is revenue per recurring purchase growing at a steady rate? Those are questions with answers. The ReCharge report pack will help you: Get a concise overview of weekly performance Increase marketing ROI with a clear understanding of how different channels and campaigns are contributing to customer growth Build a sustainable subscription business by optimising revenue segments and payment solutions The Reports tab in your Littledata dashboard automatically shows all relevant report packs, so check them out today and reach out if you have any questions. The ReCharge pack pairs well with our Basics pack, which includes essential reports on site performance and user behaviour. PS: Still waiting to try our Shopify reporting app? Don't delay! We have a plan for every sized business, and ReCharge integration is free!

by Ari
2017-10-11

The end of the ecommerce 'thank you' page

For two decades the ecommerce customer journey has stayed roughly the same. Customers browse, add to cart, checkout, and then see a page confirming their purchase: the 'thank you' page. That last step is changing, and this is no small change as it threatens to break how many sites measure purchases. Ecommerce stores that stop using a final 'thank you' page without adjusting their analytics setup accordingly are in danger of getting inaccurate purchase data, or even losing track of shoppers altogether. In order to help our customers get ahead of the curve, we've gone through a number of test cases to find short and long term fixes to this issue. But first, a little history. In the old days... In the early days of ecommerce the biggest barrier during checkout was trust. Retailers paid to be certified as ‘hack-proof’ and customers wanted to make quite sure when and how their money was taken. Fast forward twenty years to today, and in the developed world most consumers have transacted online hundreds of times. They are familiar with the process, expect a seamless user experience, and confident that when they click 'buy' their payment will be taken and the products delivered. Online shoppers are so confident, in fact, that an increasing number we observe don’t even bother waiting for that ‘thank you for your order’ page. That page is becoming redundant for three reasons: Almost every checkout process captures an email address to send an order receipt to, and the email acts as a better type of confirmation: one that can be searched and referenced. Seriously, when was the last time you opted to ‘print the confirmation page’ for your records? Many retailers are forced to compete with the superb customer support offered by Amazon. This includes refunds for products that were ordered in error, and quick handling of failed payments. So from a customer's perspective there’s little point in waiting for the confirmation page when any issues will be flagged up later. Which leads to the third reason: as retailers improve the speed of checkout, the payment confirmation step is often the slowest, and so the one where customers are most likely to drop out on a slow mobile connection. This is no small issue, as mobile revenues are expected to overtake desktop revenues for ecommerce businesses globally this year. What does this mean for ecommerce sites? The issue is that for many sites the linking of sales to marketing campaigns is measured by views of that ‘thank you' page. In the marketing analysis, a ‘purchase’ is really a view of that 'thank you' page - or an event recorded on the customer’s browser with the sale. If customers don’t view the page, then no sale is recorded. If you have ever been frustrated by the lack of consistency between Google Analytics and your own payment/back-end records, this is the most likely issue. A dependency on viewing the 'thank you' page brings other problems too: a buggy script, perhaps from another marketing tag, will block the recording of sales. This is another source of the type of analytics inaccuracy which the Littledata app combats automatically. How to adjust your ecommerce tracking The short-term fix is to tweak the firing order of marketing tags on the 'thank you' page, so that even customers who see the page for fractions of a second will be recorded. Sites with a large number of marketing tags will have the greatest room for improvement. But in the long term, as this trend continues, the analytics solution is to link the marketing campaigns to the actual payments taken. This removes the need for the customer to see any type of 'thank you' or confirmation page, and also removes discrepancies between what your marketing platform tells you was purchased and what actually got bought. This is known as server-side tracking. The good news for those of you on the Shopify platform is that our Shopify reporting app does this already - and solves a lot of other analytics problems in one install. For those on other stores, please do contact us for advice. The Littledata team has worked with ecommerce businesses to set up integrations with Magento, DemandWare and numerous custom platforms. Not only can we help fix your analytics setup for accurate tracking, but our app then automates the audit and reporting process for all of your sites going forward.

2017-08-30

What you can track with Littledata's Google Analytics reporting app for Shopify

Here at Littledata we believe that everyone should have access to professional-level analytics tools for tracking, reporting, and improving sales and engagement. That's why we built the ultimate Shopify reporting app. Shopify is one of the best ecommerce platforms on the planet, but their standard analytics are extremely limited. Even if you have a Shopify Plus plan with Acquisition and Behaviour reports, this default reporting misses out on essential metrics for understanding how to improve sales and conversions on your site. How can you expect to improve marketing ROI without marketing-channel attribution for every type of sale in your store? How can you expect to increase sales without a clear picture of shopping cart behaviour? And how can you grow a business unless you understand what share of your sales comes from repeat buying versus new customers? Here's a table detailing what you can track with the Littledata Shopify app: Shopify's Standard Tracking vs Littledata for Shopify Standard Tracking in Shopify The Littledata Shopify App  Essentials Transaction volumes in Shopify match volumes in Google Analytics  ✓ Sales attribution to the source of the visit (marketing channels and other sources)  ✓ Track what pages users see  ✓  ✓ Demographics tracking (age group, interests, etc.)  ✓  Ecommerce behaviour Track what lists are viewed divided by category  ✓ Track the product position in a list  ✓ Track the clicks on products in a list  ✓ Track the product page views  ✓  ✓ Track what products are added to cart  ✓  ✓ Track what products are viewed in the cart  ✓ Analyse the data by product variants (colour, size, etc.) ✓ Track checkout steps (cart, billing, shipping, payment)  ✓ Analyse what order coupons / discount codes perform best  ✓  ✓  Recurring payments Track ReCharge renewals  ✓ Differentiate ReCharge sales from normal sales  ✓  Extra accuracy Deduct returns from total transactions  ✓ Track in Google Analytics by User ID from Shopify  ✓ Exclude traffic from payment gateways like paypal.com  ✓ Exclude spam traffic from Google Analytics data set  ✓ Capture on-site search terms  ✓ Store currency matches Google Analytics currency  ✓ Store timezone matches Google Analytics timezone  ✓ The Littledata app makes all of this remarkably easy. It guides you through the correct Google Analytics setup for your Shopify store, then provides curated reports and analytics to help you make sense of your new stream of reliable data. You don't have to be a Google Analytics expert to use Littledata's Shopify app. In fact, the app works best for product and marketing teams that are eager to learn about the big power of little data. We simplify the setup process and streamline the reporting process. It's that simple. Try it today for free in the reporting section of the Shopify App Store and see for yourself!  

2017-07-14

How to install our Shopify reporting app (VIDEO)

[embed]https://www.youtube.com/watch?v=I3c8OuqDj_8[/embed] Watch this quick video to learn how to install our Google Analytics Shopify app. The popular reporting app makes it easy to get better Google Analytics data about your Shopify store. To install Littledata's Shopify app and start trusting your data, follow the easy steps in the video: Get the app Authorise Google Analytics (GA) access Pick the existing GA data for your site Our app runs the migration process on your store Swap in Littledata's tracker (in your Shopify store admin) Confirm and go live! This video covers the basic setup process for fixing your data collection and setting up accurate tracking. But that's only the beginning of what the app can do for you. Once you've successfully installed the app and fixed your analytics setup, we recommend making daily use of your new analytics dashboard, setting up custom reports and alerts, and checking out relevant ecommerce benchmarks. Shopify stores love how the app automatically shows you the most important metrics for your sales and marketing. With a clear view of the complete user lifecycle -- from marketing channel engagement, to shopping cart activity, to repeat buying -- the sky's the limit!

2017-06-30

ReCharge integration for subscription analytics

We're excited to announce that Littledata's Shopify app now integrates seamlessly with ReCharge! The integration makes it easy to get an accurate data stream about your ReCharge subscriptions in Google Analytics. What is ReCharge? ReCharge is the most popular recurring billing solution for Shopify stores. It lets you easily sell subscriptions on a Shopify store. ReCharge has a robust feature set for stores selling physical products on subscription, allowing for single product, mixed cart & entire cart subscriptions. The app powers thousands of stores processing tens of thousands of orders daily, including Littledata customers like Tiege Hanley skin care and BIOHM probiotics. Until we built this new integration, ReCharge customers didn't have a way to get a complete data collection in Google Analytics without hiring expensive GA consultants. How the integration works Integrating Littledata with ReCharge lets you capture data about the entire subscriber journey, from marketing campaigns to first-time payments and recurring revenue. The integration uses Littledata's magic sauce to connect Shopify and ReCharge data to Google Analytics. The reporting includes essential information for understanding business performance: End-to-end Google Analytics tracking for the subscriber journey Marketing attribution for subscription revenue, including first-time payments and recurring charges Segmentation by payment source, subscription plan type and product category With this integration plus the power of Littledata's analytics audit tool, you ensure accurate tracking of everything in your ecommerce funnel. You can then take advantage of automated reporting to help you increase revenue, including report packs built specifically for subscription analytics. Littledata's revenue optimisation tools pull directly from your GA data. Advanced users can can also use that data directly in GA - and connect it to dashboard tools like Data Studio and Supermetrics. And the price is right! Littledata provides Google Analytics for ReCharge stores at no extra cost. It's a free integration for any Shopify store using both apps! Setup guide For the Littledata - ReCharge integration to work, you need to install both apps for your Shopify store, then connect them by activating the integration. Install ReCharge Install Littledata’s Shopify app Follow these steps to activate the integration Note that you will activate ReCharge’s basic Google Analytics integration as part of the setup process, but you need to complete the Littledata integration to get full marketing attribution and to track recurring subscriptions (not just first-time payments). For more information about how our ReCharge integration works, check out our knowledge base. If you’re looking for custom setup or help with reporting, consider one of Littledata’s enterprise plans. Higher-tier plans include a dedicated account manager and support from analytics experts. We have many happy ReCharge customers, so please get in touch if you have any special requests!   This post was updated in June 2018

by Ari
2017-06-05

How to add account edit permissions for Google Analytics

Being able to edit the Google Analytics account is the 2nd highest permission level. You need this if you want to create a new web property in Google Analytics. To grant permissions to another user you will need the highest permission level yourself: being able to manage users on the account. Step 1: Go to account user settings page First click the admin cog in any view under the account in GA you want to change, and then in the left hand list go to User Settings   EITHER Select an existing user from the list and click the 'edit' checkbox OR Add a new user's email (must be a Google account) and check the 'edit' checkbox. Step 3: Check it's working Your colleague should now be able to see 'Create new property' under the list of properties in the middle of the Admin page.

2017-05-16

Shopify Marketing Events vs Google Analytics

At the Shopify Unite conference today I heard plenty of great ideas such as ShopifyPay but the most interesting for me as a data specialist was the marketing events API. Since we launched our Fix Google Analytics Shopify app earlier this year we’ve known that reporting was a weak spot in Shopify’s platform offering, and they admit that ‘understanding marketing campaign performance’ is one of the biggest challenges of Shopify merchants right now. The ability for other Shopify apps to plug their campaign cost and attribution data into Shopify (via the marketing events API) is a logical step to building Shopify’s own analytics capability, but I don’t believe it will be a substitute for Google Analytics (GA) anytime soon. Here’s why: 1. Google Analytics is the industry standard Every online marketer has used Google Analytics, and many have favourite reports they’ve learned to interpret. Moving them to use a whole new analysis platform will take time– and it’s taken GA 10 years to achieve that dominance. 2. GA provides platform-agnostic data collection For a store using Shopify as their only source of insights, moving away from Shopify would mean losing all the historic marketing performance data – so it would be very hard to make like-for-like comparisons between the old platform and the new. Many of our customers have used GA during and after a platform shift to get continuous historical data. Which ties into my first point that over 85% of businesses have a history of data in GA. 3. Incomplete marketing tagging will still cause issues Making valid analysis on multi-channel marketing performance relies on having ALL the campaigns captured - which is why our GA audit tool checks for completeness of campaign tagging. Shopify’s tracking relies on the same ‘utm_campaign’ parameters as GA, and campaigns that are not properly tagged at the time cannot be altered retrospectively. 4. Google is rapidly developing Google Analytics I’d like to see the Shopify marketing event collection evolve from its launch yesterday, but Google already has a team of hundreds working on Google Analytics, and it seems unlikely that Shopify will be able to dedicate resources to keep up with the functionality that power users need. 5. More integrations are needed for full campaign coverage Shopify’s marketing analysis will only be available for apps that upgrade to using the new API.  Marketing Events has launched with integrations for Mailchimp and Facebook (via Kit) but it won’t cover many of the major channels (other emails, AdWords, DoubleClick for Publishers) that stores use. Those integrations will get built in time, but until then any attribution will be skewed. 6. GA has many third-party integrations Our experience is that any store interested in their campaign attribution quickly wants more custom analysis or cuts of the data. Being able to export the data into Littledata’s custom reports (or Google Sheets or Excel) is a popular feature – and right now Shopify lacks a reporting API to provide the same customisations. You can only pull raw event data back out. That said, there are flaws with how GA attribution works. Importing campaign cost data is difficult and time consuming in GA – apart from the seamless integration with AdWords – and as a result hardly any of the stores we monitor do so. If Shopify can encourage those costs to be imported along with the campaign dates, then the return on investment calculations will be much easier for merchants. I also think Shopify has taken the right pragmatic approach to attribution windows. It counts a campaign as ‘assisting’ the sale if it happens within 30 days of the campaign, and also whether it was ‘last click’ or ‘first click’. I’ve never seen a good reason to get more complicated than that with multi-channel reports in GA, and it’s unlikely that many customers remember a campaign longer than 30 days ago. In conclusion, we love that Shopify is starting to take marketing attribution seriously, and we look forward to helping improve the marketing events feature from its launch yesterday, but we recommend anyone with a serious interest in their marketing performance sticks to Google Analytics in the meantime (and use our Shopify app to do so).

2017-04-21

Uninstalling the Fix Google Analytics Shopify app

Fix Google Analytics is a Shopify app that gives you 100% accurate tracking and attribution for your Shopify sales. If you want to uninstall the app, you will no longer get the full Enhanced Ecommerce reporting, but you must take further steps to re-enable the original tracking. 1. In Shopify admin -> Apps -> click the Trash Can next to the app This first step will only stop the transactions from being sent to the Google Analytics property. This means that if you click the trash can, you will no longer receive any transaction information in your Google Analytics account (under Conversions -> Sales Performance), even though the sessions and page views are still working.   2. Remove the Littledata script from your page template (Only relevant if you installed the app after 26th of March 2017) Click Online Store ->Themes -> Edit HTML/CSS In this new window, under the Layout folder, for each 'theme' file you need to find this line of code: "{% include 'LittledataLayer' %}" and then delete it. This will stop Littledata sending page views to Google Analytics. 3. Add back in the standard Shopify tracking Go in Shopify Admin -> Preferences -> Google Analytics section and type or paste in the Google Analytics web property. Your original Google Analytics web property ID starts with UA- and can be found in Google Analytics first screen where you choose your account. 4. Remove the Littledata test Google Analytics property Only applies if you clicked 'FIX' after installing the app Go to you Google Analytics account, and click the Admin cog on the bottom left. Find the (Littledata) web property in the middle list. Then under Property settings -> Move to Trash Can is in the top right of the settings.   By completing these steps, you will have successfully uninstalled the app. Warning: If you are seeing double counting of pageviews in Google Analytics, or your bounce rate has dropped significantly, then that is a sign you have completed step 3 but not step 2. Regardless of the reason behind you uninstalling the app, we would love to hear about it. Just drop us a line at support@littledata.io.  This feedback helps us provide the best possible experience to other stores.

2017-03-29

How to track recurring billing & subscriptions

Recurring billing & subscriptions have proved to be, at least in the last few years, the most viable model of business. The return on investment, value per customer and frequency of buying are all higher for any business that adopted a recurring subscription model. This article is focused on Shopify stores that use apps like ReCharge solution and Fix Google Analytics - Littledata app. Nonetheless, everything in here can be applied to all recurring payments business models. Recharge is the most used Shopify recurring billing solution powering thousands of stores and processing tens of thousands of orders daily. Fix Google Analytics - Littledata app completes ReCharge app by providing accurate sales attribution through Google Analytics. If you don't know what the Fix Google Analytics - Littledata app does, here is a short description: We fix your data collection, offer marketing insights and suggest improvements all in one app. Say goodbye to inaccurate data and start getting the full Enhanced Ecommerce experience. Install this app to get: Proper marketing attribution in Google Analytics Product views and shopping behavior Checkout conversion funnels (including voucher usage) Understanding of repeat buyers The first steps to install the Google Analytics tracking for Shopify are illustrated here: How to install the “Fix Google Analytics” Shopify app. Besides this, if you want to go ahead and make an advanced analysis of your customers then you need to make the following setup also: Enable the feature in Google Analytics Firstly, go into Google Analytics (both your normal Google Analytics property and the property that has been created by Littledata) and enable the User-ID feature by going to Admin > Property > Tracking info > User-ID. Click On, next, On, next, give the new view a name and you're done. Attention: The new view will start to collect data from the point of creation so you will need to wait a bit to use this report. The sources of the purchases will be collected from the point of creation so most of the orders will be shown in the first month from direct / (none). Enable the Enhanced Ecommerce feature in Google Analytics Go in Google Analytics, Click Admin. In the right side under view choose the new Registered Users view, that you've created earlier and click Ecommerce Setings. Toggle to ON and then click Next step. Toggle ON for Enhanced Ecommerce, save and you're done. How to see what was the initial source for recurring subscriptions? Using the registered view go under ACQUISITION -> All traffic -> Source/Medium or Channels. This report will show both new customers and recurring ones. We need to apply a segment to this report in order to show only the recurring users. This is how you set up the segment to exclude first time buyers: Now, with the above segment applied, you can check what was the original source or the sale for all transactions from repeating buyers. The other cool and helpful report is the AUDIENCE->Cohort Analysis report. You can see what was the retention of these users in this report for each day, week or month. This report must be read from left to right for the bellow image: Users that bought in December continued to buy in January in a proportion of 38% and in February in a proportion of only 10%. Combining this report with an advanced segment that excludes the first-time buyers AND includes only buyers that had their first transaction in December will provide the number of users that started the subscription package in December and what was the retention of these people. We would love to hear how you use these reports and what you think of the new version of our Fix Google Analytics - Littledata app.

2017-03-22

How to install the "Fix Google Analytics" Shopify app

Here at Littledata we continuously challenge ourselves to come up with ideas that would benefit more and more people, which is why we created our Shopify app. We take the analysis and optimisation of data seriously and to prove that we made it possible with just one click of a button. In order to familiarise yourself, we have created this guide to help you install the app and unlock its full potential. 1. First things first. Let’s begin on your Shopify starting page. Go into the app section by pressing Apps. Once you get on the next page scroll down until you see the “Visit Shopify App Store” button and press it: 2. Once you're in the Shopify App Store, search for our Littledata app: 3. Start the installation process by pressing the “GET” button on the page: 4. Install the app: 5.  Approve the charge and have access to a trial period of 30 days. 6. Click sign in with Google in order for the app to scan your Google Analytics Setup and select the preferred account. Choose the Google Account that you normal use to login in the Google Analytics platform.   7. Next step would be to choose the best data source from the ones you have access to in Google Analytics. We recommend that you choose the one you use to analyse your data and the one you're most familiar with: 8. You are on the app now and almost done with setting everything up! This should be the first page you see after login: Now, let’s dive into fixing and improving everything for your store. Press fix and wait for the magic to happen. After everything is “Correct” we will create a different Littledata test account in which the data will be further collected. We've done that in order for you to be able to compare the new tracking versus the old tracking. 9. Now you will the see GO LIVE button. We recommend, for big traffic stores, to wait at least 24 hours before you go live in order for enough data to be collected in the test Google Analytics to compare them with your current tracking. 10. As the last step, once you go live, you will be prompted to confirm that you have stopped the Shopify default Google Analytics tracking. This means that you need to add a blank space in your Shopify admin section under Preferences instead of your UA-XXXXX-1 code. See this image bellow how. Thank you for subscribing and installing our app! Please, get in touch if you have any questions about the setup.    

2017-01-12

Top 6 pitfalls of Shopify analytics

The out-of-the-box analytics solution Shopify provides is a basic one, and unfortunately, the ecommerce data (transactions, add-to-carts, etc.) is incomplete and unreliable. With the help of Littledata, you can now be sure that "Shopify has you covered" with Analytics data collection. If you run a store with a large marketing budget you know how important it is to have accurate Analytics data to establish how your marketing budget is performing. It's also important to read the top 5 pitfalls in tracking ecommerce in Google Analytics as these will also apply to Shopify users. These are the known pitfalls for the out-of-the-box Analytics solution from Shopify: 1.Cross-domain and subdomain tracking issues The Shopify checkout is sending the customers to a Shopify domain (checkout.shopify.com). This makes the visitor sessions end suddenly even if they are in the process of buying something. The sales attribution for Shopify store owners is also painful due to the change of domains causing 'checkout.shopify.com' or a payment gateway to be attributed as the 'last click'. At the moment, Google Analytics can help you track both micro and macro moments in a customer journey. Example of micro-moments are: Clicking on a product link Viewing product details Impressions and clicks of internal promotions Adding / removing a product from a shopping cart Purchases and refunds All of these ecommerce interactions help you as a marketer / acquisition manager / owner to know more about your customer's interactions with your products. You can read more about the benefits of tracking the enhanced e-commerce in the article: use enhanced ecommerce to optimise product listings. 2.Clicking on a product link Clicking on a product link will show you the most appealing products, so you can improve the click-through-rate on the category page. If the click through rate is bad, the action to take is to check your product's master picture and see if there are any errors in getting to the product page. Also, you can investigate if these products are in the right category list. See how can you make these products more appealing to your audience. Read more on our blog on how to improve click-through-rate. 3.Viewing product details Viewing product details will show what are the most viewed product details. You can see this using the URL also, but having this info in a structured way (the product name and product SKU) will make the business analysis far easier. 4.Impressions and clicks on internal promotions Impressions and clicks on internal promotions. Every website uses at least one banner. But how many are tracking the effectiveness of these marketing assets? Knowing how they perform can mean a better visual strategy, a better usage of website space and maybe will save you some money when creating fancy banners with fancy designers! 5.Add-to-carts and removes from cart. Add-to-carts and removes from cart. Every store owner before Christmas asks themselves which products should have discounts or which to should be promoted? Finding out what products are added to cart and removed can answer some of those most vital questions in ecommerce. You can check your product picture and description and see if there are any errors on getting to the checkout. Also, be sure you give your customers access to the information about delivery and refunds. You can compare these products with your competition and see if the price and delivery costs are for the customer's advantage. See how can you make these products more appealing to the customer. 6.Purchases and refunds Purchases. The solution Littledata comes with is a server-side integration to provide a 100% match between your Shopify store and Google Analytics. This ensures that you register the sales data, even if the customer never gets to see the thank you page on your store. Refunds. We all know when seeing online sales, that it doesn't necessarily mean the end of the process. There can be a lower or higher percentage of returns from customers. Shopify is adding back the refunds on the day the packages return to the warehouse and this can be really sad for a normal day when there are negatives sales. There are multiple ways in which you can mess up your Google Analytics data while using Shopify but these were the most important ones to take in while tracking a Shopify store. Want more information on how we will help improve your Shopify analytics? Get in touch with our experts! Interested in joining the list to start a free trial? Sign up!   Get Social! Follow us on LinkedIn, Twitter, and Facebook and keep up-to-date with our Google Analytics insights.

2016-12-08

Why do I need Google Analytics with Shopify?

If the lack of consistency between Shopify’s dashboards and the audience numbers in Google Analytics is confusing, you might conclude that it’s safer to trust Shopify. There is a problem with the reliability of transaction volumes in Google Analytics (something which can be fixed with Littledata’s app) - but using Shopify’s reports alone to guide your marketing is ignoring the power that has led Google Analytics to become over by over 80% of large retailers. Last-click attribution Let’s imagine your shoe store runs a Google AdWords campaign for ‘blue suede shoes’. Shopify allows you to see how many visits or sales were attributed to that particular campaign, by looking at UTM ‘blue suede shoes’. However, this is only capturing those visitors who clicked on the advert and in the same web session, purchased the product. So if the visitor, in fact, went off to check prices elsewhere, or was just researching the product options, and comes back a few hours later to buy they won’t be attributed to that campaign. The campaign reports in Shopify are all-or-nothing – the campaign or channel sending the ‘last-click’ is credited with 100% of the sale, and any other previous campaigns the same customer saw is given nothing. Multi-channel attribution Google Analytics, by contrast, has the ability for multi-channel attribution. You can choose an ‘attribution model’ (such as giving all campaigns before a purchase equal credit) and see how much one campaign contributed to overall sales. Most online marketing can now be divided into ‘prospecting’ and ‘retargeting’; the former is to introduce the brand to a new audience, and the latter is to deliberately retarget ads at an engaged audience. Prospecting ads – and Google AdWords or Facebook Ads are often used that way – will usually not be the last click, and so will be under-rated in the standard Shopify reports. So why not just use the analytics reports directly in Google AdWords, Facebook Business, Twitter Ads etc.? Consistent comparison The problem is that all these different tools (and especially Facebook) have different ways of attributing sales to their platform – usually being as generous as possible to their own adverting platform. You need a single view, where you can compare the contribution of each traffic source – including organic search, marketing emails and referrals from other sites – in a consistent way. Unfortunately, Google Analytics needs some special setup to do that for Shopify. For example, if the customer is redirected via a payment gateway or a 3D secure page before completing the transaction then the sale will be attributed to a ‘referral’ from the bank - not the original campaign. Return on Advertising Spend (ROAS) Once you iron out the marketing attribution glitches using our app, you can make meaningful decisions about whether a particular form of marketing is driving more revenue that it is costing you – whether there is a positive Return on Advertising Spend. The advertising cost is automatically imported when you link Adwords to Google Analytics, but for other sources, you will need to upload cost data manually or use a tool like funnel.io . Then Google Analytics uniquely allows you to decide if a particular campaign is bringing more revenue than it is costing and, on a relative basis, where are the best channels to deploy your budget. Conclusion Shopify’s dashboards give you a simple daily overview of sales and products sold, but if you are spending more than hundreds of dollars a month on online advertising – or investing in SEO tactics – you need a more sophisticated way to measure success. Want more information on how we will help improve your Shopify analytics? Get in touch with our experts! Interested in joining the list to start a free trial? Sign up! Get Social! Follow us on LinkedIn, Twitter, and Facebook and keep up-to-date with our Google Analytics insights.

2016-12-07

Top 5 Google Analytics metrics Shopify stores can use to improve conversion

Stop using vanity metrics to measure your website's performance! The pros are using 5 detailed metrics in the customer conversion journey to measure and improve. Pageviews or time-on-site are bad ways to measure visitor engagement. Your visitors could view a lot of pages, yet be unable to find the right product, or seem to spend a long time on site, but be confused about the shipping rates. Here are the 5 better metrics, and how they help you improve your Shopify store: 1. Product list click-through rate Of the products viewed in a list or category page, how many click through to see the product details? Products need good images, naming and pricing to even get considered by your visitors. If a product has a low click-through rate, relative to other products in the list, then you know either the image, title or price is wrong. Like-wise, products with very high list click-through, but low purchases, may be hidden gems that you could promote on your homepage and recommended lists to increase revenue. If traffic from a particular campaign or keyword has a low click-through rate overall, then the marketing message may be a bad match with the products offered – similar to having a high bounce rate. 2. Add-to-cart rate Of the product details viewed, how many products were added to the cart? If visitors to your store normally land straight on the product details page, or you have a low number of SKUs, then the add-to-cart rate is more useful. A low add-to-cart rate could be caused by uncompetitive pricing, a weak product description, or issues with the detailed features of the product. Obviously, it will also drop if you have limited variants (sizes or colours) in stock. Again, it’s worth looking at whether particular marketing campaigns have lower add-to-cart rates, as it means that particular audience just isn’t interested in your product. 3. Cart to Checkout rate Number of checkout processes started, divided by the number of sessions where a product is added to cart A low rate may indicate that customers are shopping around for products – they add to cart, but then go to check a similar product on another site. It could also mean customers are unclear about shipping or return options before they decide to pay. Is the rate especially low for customers from a particular country, or products with unusual shipping costs? 4. Checkout conversion rate Number of visitors paying for their cart, divided by those that start the process Shopify provides a standard checkout process, optimised for ease of transaction, but the conversion rate can still vary between sites, depending on payment options and desire. Put simply: if your product is a must-have, customers will jump through any hoops to complete the checkout. Yet for impulse purchases, or luxury items, any tiny flaws in the checkout experience will reduce conversion. Is the checkout conversion worse for particular geographies? It could be that shipping or payment options are worrying users. Does using an order coupon or voucher at checkout increase the conversion rate? With Littledata’s app you can split out the checkout steps to decide if the issue is shipping or payment. 5. Refund rate Percent of transactions refunded Refunds are a growing issue for all ecommerce but especially fashion retail. You legally have to honour refunds, but are you taking them into account in your marketing analysis? If your refund rate is high, and you base your return on advertising spend on gross sales (before refunds), then you risk burning cash on promoting to customers who just return the product. The refund rate is also essential for merchandising: aside from quality issues, was an often-refunded product badly described or promoted on the site, leading to false expectations? Conclusion If you’re not finding it easy to get a clear picture of these 5 steps, we're in the process of developing Littledata’s new Shopify app. You can join the list to be the first to get a free trial! We ensure all of the above metrics are accurate in Google Analytics, and the outliers can then be analysed in our Pro reports. You can also benchmark your store performance against stores in similar sectors, to decide if there are tweaks to the store template or promotions you need to make. Have more questions? Comment below or get in touch with our lovely team of Google Analytics experts!   Get Social! Follow us on LinkedIn, Twitter, and Facebook and keep up-to-date with our Google Analytics insights.

2016-11-30

Complete picture of your ecommerce business

From marketing channels to buying behaviour, Littledata is the ultimate Google Analytics toolbox.

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