Shopify's 'sales by traffic source' report is broken

If you're a Shopify store manager, one of your biggest questions should be 'which campaigns lead to sales?'. We looked at data from 10 Shopify Plus customers to see whether the sales by traffic source report can be trusted. Under the Shopify store admin, and Analytics > Reports tab, you can (in theory) see which sessions and sales came from which traffic sources. BUT this sales by traffic source report is broken. Looking at 180,000 orders for 10 stores in Q4 2018, here are the marketing channels which Shopify Analytics says brought the traffic: Direct 83.5%Social 9%Search 4.5%Unknown (other websites, not social or search) 3%Email ~0.1% And using comparative data from Google Analytics we know this is all wrong. Here's a comparison of Shopify's attribution to Google Analytics last-click attribution of sales for one of these customers: Marketing attribution comparison for 700 orders Shopify Google Analytics Direct 99% 43% Search (Paid + Organic) 0.6% 7% Social 0.4% 10% Email - 25% Affiliates - 15% Here's why it's broken 'Direct' traffic is when the source is unknown. But for Shopify's report this means where the source of the last session is unknown - the user most probably visited a search ad or product review previously. Having only 1% visibility on your marketing performance is just not acceptable!We know that tagged Facebook traffic alone represents 7% of traffic for the average store, so 10% of sales from Social is more normal. Social also brings more than the actual sales in terms of visibility and influencers.Google generates billions of pageviews a month for ecommerce stores. If your site gets only 1% of its traffic from search, we'd be very surprised! Including paid search this site is still well below the 40% average. (Check out our 6 essential benchmarks for Shopify stores.)Monthly emails and personalised retargeting emails are now a staple of online marketing, and we know all the customers in this analysis use email marketing of some form - including for new product launches, discounts and cart abandonment campaigns. The problem is, it's unlikely to be the only campaign which brought customers, so it gets drowned out by other 'last click' channels. The solution: multi-channel attribution.Affiliates are a really important channel to get right, as they are paid based on the sales attributed to them. Why should you rely solely on the report the affiliate marketer gives you, and not see the same numbers in Google Analytics? So don't leave your marketing analytics to guess-work! Try the Littledata app to connect Shopify with Google Analytics on a free trial today. All paid plans include unlimited connections, to ensure accurate marketing attribution for sales via ReCharge (subscriptions), CartHook (one-page checkout), Refersion (affiliates) and more.

2019-02-04

Introducing Shopify Flow connectors for Google Analytics

Littledata has launched the first Shopify Flow connector for Google Analytics, enabling Shopify Plus stores to analyse customer journey using a custom event in Google Analytics. In addition to Littledata's native connections with Shopify, Shopify Plus, Facebook Ads, ReCharge, etc., we have now launched a beta version of a Flow connector for Google Analytics. What is Shopify Flow? Flow is an app included with Shopify Plus, which enables stores to define automation pathways for marketing and merchandising. Think of it as an ‘If This Then That’ generator just for Shopify. For example, after an order is marked as fulfilled in Shopify’s admin you might want to trigger an email to ask for a review of the product. This would involve setting a ‘trigger’ for when an order is fulfilled and an ‘action’ to send an email to this customer. How do you use Littledata Flow actions? You install Littledata's Shopify app along with Shopify Flow Every time an order is created in your store we send it to Google Analytics, along with information about which customer ID made the order (nothing personally identifiable) You add Littledata's actions to your Flow Every time the order or customer event is triggered, even for offline events, the event is linked back to Google Analytics In Google Analytics you can then: Segment the customer base to see if these actions influence purchasing behaviour Visualise when these events occurred Analyse the customers making these actions: which geography, which browser, which marketing channel (in GA 360) Export the audience to retarget in Google Ads (in GA 360) Export the audience to run a website personalisation for using Google Optimize How do you set the actions up in Flow? Google Analytics customer event – can be used with any customer triggers, such as Customer Created Google Analytics order event – can be used with any order triggers such as Order Fulfilled, Order Paid, How else could I use the events? You can now link any of your favourite Shopify Apps with Flow connectors into Google Analytics. Some examples would be: Analyse if adding a product review leads to higher lifetime value   Retarget in Google Ads after a customer's order is fulfilled - Download .flow file   Set up a landing-page personalisation for loyal customers (using Loyalty Lion connector) - Download .flow file How much does this cost? The Flow connectors are included as part of Littledata’s standard subscription plans. You’ll need Littledata’s app to be installed and connected to link the events back to a customer – and to get reliable data for pre-order customer behaviour. [subscribe] Can Littledata set up a flow for a specific app? Our Enterprise Plans offer account management to help you configure the Littledata Shopify connection, including the Shopify Flow connectors. Get in touch if you have a specific app you'll like to make this work with.  

2018-12-17

Why don't my transactions in Google Analytics match those in Shopify?

The truth is that Google Analytics and Shopify need a little help to play nice together. Most marketers use Google Analytics to track performance, but having a good data collection setup -- even for basic essentials like transactions and revenue -- is harder than it looks. As a Partner Manager at Littledata, I work with a wide variety of apps and agencies, especially Shopify Plus Partners, who are in turn working with marketing managers and ecommerce directors. One of the most frequently asked questions I get from those marketers is “Why don’t my transactions in Google Analytics match those in Shopify?” [tip]Here's why your Shopify data doesn't match what you see in GA.[/tip] So in this article I’d like to take you on a journey, explaining what could cause this, how it can affect marketing and how to get accurate data that matches your actual money in the bank. Top 6 reasons for inaccuracy There are many reasons for differences in tracking results, but let’s take a look at the top 6 reasons. 1) Some orders are never recorded in Google Analytics Usually, this happens because your customer never sees the order confirmation page, and most commonly this is caused by payment gateways not sending users back to the order thank you page. 2) The Analytics / Tag Manager integration has some errors Shopify has an integration with Google Analytics but it is a pretty basic one, tracking just a few of all the possible ecommerce events and micro-moments required for a complete picture. Although Shopify’s integration is meant to work for most standard websites, there are those who build a more personalised theme. In which case they would require a custom integration with Google Analytics. (Here’s what you can track with Littledata’s Shopify app) 3) A script in the page prevents tracking to work on your order thank you page Many websites have various dynamics on the thank you page in order to improve user experience and increase retention. But these scripts can sometimes fail and create a domino effect preventing other modules to execute. Such errors can stop Google Analytics from tracking the event. 4) The user has opted out from Google Analytics tracking This instance is not encountered as often, but it’s worth mentioning that some users can opt out of Google Analytics tracking with the help of a simple browser add-on. Features like this work by adding bits of JavaScript code into every website the user visits which will prevent the Google Analytics tracking code from capturing user-related data. This also means that GA will not drop any cookie nor will send any data to its servers. [subscribe heading="Try Littledata free for 30 days" button_text="Free Trial" button_link="https://www.littledata.io/app/get-free-trial"] 5) Too many products included in one transaction Every time a page on your website loads, Google Analytics sends a hit-payload to its servers which contains by default a lot of user data starting from source, path, keywords etc. combined with the data for viewed or purchased products (name, brand, category, etc). This data query can get quite long if the user adds products with long names and descriptions. But there is a size limit for each hit-payload of 8kb, which can include approx. 8192 characters or information for about 20 products. Where this limit is reached, Google Analytics will not send the payload to its servers, resulting in lost purchase data. 6) Too many interactions have been tracked in one session This inconsistency is not encountered as often, but it needs to be taken into account when setting up Google Analytics tracking. One of Google Analytic’s limitations for standard tracking is that a session can contain only 500 hits. This means that interactions taking place after the hit limit is reached will be missed by Google Analytics. How a data mismatch damages your bottom line We have found that 8 out of 10 Shopify merchants have only a 70 - 80% accuracy rate for transactions and revenue in Google Analytics mostly due to the reasons mentioned above. In other words, 80% of Shopify merchants are missing at least 20% transaction data! Statistically, small or even medium-sized merchants dealing with four-figure monthly revenue can be very affected by the missing data because they are more likely to take bad marketing decisions based on segmented data. Hyper-segmentation is counterproductive if you’re working with bad data. And for larger business which rely heavily on Google Analytics to make data-driven decisions, accuracy is an absolute must. Imagine having a 20% inaccuracy margin when dealing with six or seven figure monthly revenue! It kind of puts things into a different perspective, right? It would be quite impossible to know how much to invest & re-invest in marketing without knowing the actual ROI. But wait! There’s an easy fix Littledata’s Shopify app can automatically fix most of the tracking inconsistencies mentioned above. Here’s how our app works, it's like magic. First, the app adds a DataLayer on your website containing all the Enhanced Ecommerce events. Then it inserts a tracking script on each layout which captures every fired event as soon as it occurs, and then using Server Side tracking, the app listens for all transactions to ensure 100% accuracy. In addition to the guaranteed transaction accuracy, Littledata’s tracker attributes each sale by source together with granular user and product data. The app also sends custom information in 4 custom dimensions to understand KPIs regarding lifetime value (LTV). Sound pretty geeky? It is. But the cool part is that the app uses automation and machine learning to do all the heavy lifting for you, so you can focus on growing your business instead of worrying about tracking issues. And the tech extends to all the apps you use. We include smart connections with apps like ReCharge and Refersion, to ensure accurate data about every marketing channel and product mix, including subscriptions. For example, our ReCharge connection automatically tracks both first-time payments and recurring transactions. This gives you accurate sales data and marketing attribution for those sales. Compare different tracking methods I know it may sound too good to be true, and this is why we offer a 14-day free trial so you can test the results by creating a Test Property in your Google Analytics account and compare data between Shopify’s standard tracker and Littledata’s advanced solution. Once you have accurate data, you can start benchmarking against other Shopify sites and optimising your website with data-driven decision making. Questions? Littledata is here to help. We built our smart ecommerce analytics app to simplify everything, and with a clear picture of your ecommerce data and access to automated optimization tools you can truly take your business to the next level. Are you ready for accurate data?

2018-12-14

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! [subscribe] 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. [subscribe] 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

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. [note]Check out these 9 essential elements of a high-converting landing page from our friends at Sleeknote.[/note] 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. [subscribe] 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.

2018-08-30

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. [subscribe] 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

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. [subscribe]  

by Ari
2018-06-28

Try the top-rated Google Analytics app for Shopify stores

Get a 30-day free trial of Littledata for Google Analytics or Segment