What's new in our Shopify apps for Google Analytics and Segment
Littledata is always improving. Over the last 6 months, we’ve worked on numerous features to enhance the accuracy and availability of our ecommerce data analysis for Shopify merchants. Littledata's smart connections make it easy to get accurate data in Google Analytics or Segment. The changes below affect both of our Shopify apps (Segment and Google Analytics for Shopify), marking the biggest major update to our Shopify tracking script and server-side tracking since we released V8 last year. [tip]Check out our release notes for regular updates![/tip] Attribution for email marketing signups In order to provide enhanced email attribution, we've linked 'customer created' and 'customer updated' events back to the original source. Stores building a customer email list can now analyze where those email signups originally came from. By linking customer creation or update events on Shopify’s servers to the original campaign or referrer to the store, Littledata customers can now accurately track the source of email signups. Merchants can now also segment these signup events by whether or not the customer opted into marketing. Checkout steps Tracking checkout steps is essential for ecommerce analytics, but Shopify's native tracking is incomplete and inaccurate. Littledata's Shopify connections solve checkout tracking issues automatically. With recent updates, we’ve made the tracking of checkout steps even more reliable, coping with situations where a user is already logged in, or abandons the cart and then returns later. [note]Did you know by sending the data to Google Analytics, you can easily track your Shopify payments gateway during checkout?[/note] With the help of the full Enhanced Ecommerce specification, you can: track exactly which products follow in each step calculate the value of opportunities to improve each step [subscribe] ReCharge connection, recharged As subscription ecommerce sites continue to scale, they need even more detailed data about the user journey, especially lifecycle events. [tip]Do you trust your subscription tracking in Shopify? Learn how to get accurate tracking for repeat orders[/tip] With our new ReCharge v2 connection, subscription stores can now track the full subscription lifecycle including: subscription updates cancellations failed payments product edits customer profile / information edits [note]See the full slate of ecommerce events you can now track with ReCharge v2[/note] Geolocation of server-side events Stores need accurate information on the location of their customers to retarget campaigns around top-performing regions or cities. The extra events above, plus all the standard order data, are sent from our servers in Virginia, US. But, of course, in your analytics, you want to see them linked to the customers' real location. We now have a belt-and-braces solution for correctly geolocating customer events, passing on the browser's IP address where known, or else sending the shipping address (default customer address) to Google Analytics as a 'Geographical Criteria ID'. CartHook and Bold Cashier We've always supported other checkouts for Shopify, as we know some stores need flexibility with payment, upsell and recurring billing options. And for the most popular checkout solutions, we're always looking at ways to provide advanced tracking automatically. So in the past 6 months Littledata has launched more robust integrations with CartHook and Bold Cashier. New Google Optimize connection Google Optimize is a powerful A/B testing and personalization platform used within and beyond ecommerce. [note]Connect your Shopify store to Google Optimize to test your product pages, store content and messaging with 100% accuracy.[/note] Now, we have an out-of-the-box setup for Shopify, including an anti-flicker snippet. And coming soon... In Q1 2020, we're working on connections for Iterable's email marketing platform, plus a more consistent way of handling Segment's anonymous ID for stores which don't use Google Analytics. Is there something you're eager to see in Littledata? We're always happy to hear feature suggestions — get in touch with our team today!
Tips to optimise your ecommerce landing pages
Are your ecommerce landing pages suffering from poor conversion rate because people aren't engaging? First impressions are everything, and more so online, so your task is to figure out which on-site improvements will help you towards your goals. Once you start optimising, it's a continuous process of reviewing, changing, testing and refining - aiming to find out what is most appealing to your customers, what they like and care about, what makes them trust you, what encourages them to purchase. There is always room for refinements so here are some tips on what you should consider when reviewing your pages. What are you trying to achieve? Before starting testing and implementing the changes on your landing pages, you have to be clear about what you want to accomplish. Whilst the end goal for an online store is to increase sales, at times you might also want to get more sign ups, or improve views of or engagement with product pages. Think about what success will look like as that will help with planning your optimisation tests. How are you going to measure it? If you are clear about what you are trying to achieve, it will be easier to set measurable targets. Are you looking to increase your sales by 10% or pageviews of products by 15%? Or maybe you want your potential customers to browse further and spend more time reading content? Further engagement can also be demonstrated by the site visitor scrolling down the page if you have long product or category pages. In which case you'll want to track how far down the page they get to. I believe in keeping reporting straightforward so when testing focus on tracking important metrics only. Ideally just one if you can, or a few if you have to, but that will help focus on measuring what is most important for your business at the time. Assuming you are using Google Analytics, like most of people looking after digital performance, set up goals to monitor how customers are converting. Our web-based software also makes it easy to keep track of on-site changes are by reporting on changes in trends, goals, pages. Who are you targeting? User-focussed content is more effective at engaging your customers and improving your conversion rates. So you should write up your customer personas to be clear about who you are targeting with landing pages. This also applies to general look and feel of your ecommerce site. Most importantly, include with personas what problems your customers are trying to solve or what they are trying to achieve. Once your team knows who your ideal or typical customers are, then it will be easier to focus on creating more relevant and engaging content on those pages. Do you have a clear value proposition? Value proposition explains why you’re better than or different from your competitors, and what you can deliver that they can’t. When writing it up, focus on benefits not features. It’s not always about the product looking top notch (unless you’re the industry or company where that matters of course) so it is more about how you can alleviate their problem. Check out how to write your value proposition by following Geoffrey Moore’s model. Does your copy reflect your value proposition? Once you have your customer personas and value proposition, review existing content on the site against how you describe what your clients are looking for. Check if it fits with what they are looking for, explains how you can solve their problems or fulfill their desires. The copy on your site has to reflect how you can improve your potential customers lives through what you offer. A great copy informs, compels, captivates, reflects what people search for and promotes key benefits. Econsultancy have compiled a great set of advice from experts on writing copy for product pages. Also, check out Copyblogger Demian Farnworth’s articles for superb advice on writing copy. Have you found your winning call to action? This is very important – test your call to action until you find the best performing one. Your call to action is like a visual sign that guides the buyer towards a specific action you want them to complete. Different things work for different sites. Start off with trying simple changes like different text, colour, shape, size or placement of the button to figure out what is most effective for your page. If small changes aren’t helping, then try a more drastic change of the button or page. Do your pages load fast? This is pretty self-explanatory. Slow page loading speed might drive your potential customers away from your online shop, so you should regularly check whether they can view your products within 3 seconds (Source: Radware). If you’re using Google Analytics, you can use Site Speed reports to check how you’re performing and get advice on where to improve. If you don’t have Google Analytics, you can use their online tool PageSpeed Insights. Other tool worth checking out is GTMetrix where you can grade your site's speed performance and get a list of recommendations. Do you need to optimise for mobile? It’s a very common fact that more and more people are using mobile devices to browse and buy online. But unless you have unlimited budget for ensuring that your ecommerce site is optimised for mobile, it is best to check in Google Analytics first whether you need to do it now. If you go to Google Analytics > Audience > Mobile > Overview report, you will get a breakdown of device categories that buyers are using to visit your online store. Here you can see that the majority of customers, almost 93% are using desktop so in this case (assuming you have a limited budget) you might want to make sure you have a responsive site at the very minimum, and leave a full optimisation for mobile device for later when there is a sufficient need. Now, if results were different and let’s say you had 60% of people visiting your site via mobile devices, then you would want to ensure that they’re getting the best experience on their device and don’t leave the site to buy from a competitor instead. Are your test results statistically significant? Evaluating your AB test results isn't quite as simple as looking at the highest conversion rate for each test, which would be an incorrect way to interpret the outcome. You want to be confident that results are conclusive and changes you tested will indeed improve your conversion rates (or not, depending on the outcome of testing). That's where statistical significance comes in. It gives you assurance about the results of your tests whilst taking into consideration your sample size and how confident you want to be about the importance of the results. By reaching over 95% statistical confidence in testing results, you can be sure that the winning variation performed better due to actually being an improved version, and not simply due to change. You can easily find a calculator online that tells you if your AB testing results were statistically significant and you should conclude the test or not - for example, try the calculator by Kissmetrics or Peakconversion. There is no one winning formula for how to make your pages more effective, but you have to be pro-active to figure out what they are - so keep testing until you do. Have any questions? Leave a comment below or get in touch with our experts! Image Credit: Stocksnap.io
Using Google Analytics in store - online and offline
Let’s say I am a retailer selling LEGO®. I have an offline store and I would really like to track my performance. This article will show you that online and offline have a lot in common. The KPI’s are almost the same. You just need to find the right tools to track each channel. I’m an online geek so I would like to track all my activity in my Google Analytics account. At this point, you might already think that it can't be done. But just this morning when I saw this quote it became clear: It always seems impossible until it’s done. So let’s dive in on how an offline store KPI’s can by tracked via Google Analytics. I chose LEGO for two reasons. One, I love LEGO, and second, I love the uniformity of a LEGO store. All LEGO stores have the same structure, philosophy, almost the same products (differs by approx 10% in each country) and the same management control. That made my example so easy to picture. A LEGO store has in it the following and it can be translated in an online store the following way: Offline Online Collections of products Category Main products Products Complementary products Complementary / Accessories products Every product comes in a box The main photo of the product Every shelf has only one collection The listing page The LEGO catalog The online catalog (newsletter) Facebook page / Find shop page Facebook page / Find shop page Tablets with video of the products Video on product page Giant statues Banners Marketing events Campaigns Marketing assets ( rollup, banners, mash) CPM campaigns Traffic sensors Google Analytics tracking code Cash register Checkout page VIP cards UserID tracking A tablet for surveys Exit survey or email survey A tablet for VIP registrations Register section Video cameras Hotjar :) The first step to monitoring something is to choose which tool we are going to use. In my demo, we will use Google Analytics. We are going to create a Universal Google Analytics account with Enhanced Ecommerce tracking set up. In a normal website, we will implement this tracking code on each page of our website. In a retail store, we will have like a single page website because LEGO usually has only one room for the stores. Now comes the fun part. When a loyalty card means a UserID I mentioned above that we have a 'website' for the LEGO store with the new Universal Google Analytics script. We also have a VIP club because all LEGO stores have a program called LEGO VIP Club. This club is a program designed to engage customers and increase sales. With each sale, a customer is encouraged to become a part of the VIP Club. They will get a card, like a credit card design, and a unique ID. With this ID, we will be able to unify the customer's activity on online and in offline stores. Sessions: or “traffic” in retail For traffic control lots of retail stores have implemented sensors to track the amount of people coming in and walking out. Such a solution is usually called “counting visitors” or “footsteps counting”. A retail store can implement a "counting visitors system" in 2 parts of the stores for collecting the maximum amount of data: outside the store, and just inside the entrance / exit. This way you can measure the amount of people who saw your store and the amount of people who actually came in / left the store. You could then further divide the amount of people leaving the store in shoppers and visitors. Which in online translates to conversion rate. Here we will then add the amount of people that saw LEGO ads via marketing efforts. To make things interesting, we can put a contactless device by the entrance, to track the number of VIP customers that enter the store. Here you can extract data from your counting visitors system and send this information via the Measurement Protocol to Google Analytics. I will not get technical on this, due to the fact that it is just an idea and not a case study. But for more information feel free to contact us. At the entrance gate, you can send GA the information that a customer entered the LEGO store from Happy Street, give him a generic userID from the counter and if he taps the VIP card send the VIP Club ID also. Category and products Every brick and mortar store has an inventory of products. And every product in LEGO Store has a single category. If you've never seen a LEGO Store, let me show you what order means in products and category. [embed]https://youtu.be/lAaE-pxNB1w[/embed] The products and categories can be imported to Google Analytics using data import function in the admin section. In a LEGO store, you can track the On Shelf activity by using both traffic sensors and track events on digital assets. The sensors can track and send GA, the traffic on a specific section of the store. And since we are talking about LEGO this will be easy because the products are not mixed up. LEGO has implemented Digital Boxes in US stores. Digital Boxes are an emulator that takes the image of an object you have in your hand and projects a new image on top of it. This Digital Box can be seen in the video above, and could be treated like a view of a specific product page. Another cool asset LEGO has is the video player on the shelf. This video player shows the content of a product on a tablet (usually 7” wide). This tablet is put next to a selected product and the customer has the opportunity to virtually see the content of the LEGO box. We can now send to GA this interaction of a user with the video. Here we can use Google Tag Manager to catch the user interaction with this digital asset. For the products that have no video on the shelf or a digital box projection, we can use a smartphone along with an improved version of the LEGO app called LEGO 3D Catalog. This app can be downloaded from the Android store or Apple Store, and in the same manner, as the digital box, it will project an animation of the product on the image of the product box. To enter the app you must be logged in, so we can use the User ID, and we can make use of the GPS position to be certain that he is in our store. Online meets offline All online marketing activities are easy to send to Google Analytics if we use a system to track them. You can build your social campaign in a way that will be shown in Google Analytics in a very detailed way. Littledata provides a template to build powerful URL’s that can be used in your social campaigns. The role of this URL is to tag your traffic with the campaign information. Download Littledata's campaign tracking sheet with a URL builder. Online marketing activities mean Facebook, AdWords, mall website, PR communication, partners and mail exchange. You can connect the tablet, which you have in your store for surveys, to Google Analytics and get interesting reports based on that data and act quickly with the alerts from Google Intelligent Alerts. Impressions or proximity to marketing assets The easy part in offline marketing is to track the impressions. Two words: proximity sensors. By using these sensors you can track the amount of people that came close to your marketing asset and send it to GA (or, as we say, make it fire to GA). A marketing asset can be a banner, a statue, a mash or a roll up. And now let’s take the game to the next level. Track the promotions interactions. Let’s say you have a LEGO photo booth. Within the photo booth, you could place a QR code that will automatically share your customers' photo on social media and, in the same time, send a hit to GA or add a hashtag. Purchases The complex structure of a purchase in Google Analytics is this: 'id': 'P12345', // Product SKU 'name': 'Android Warhol T-Shirt', // Product name 'category': 'Apparel', // Product category 'brand': 'Google', // Product brand - in our case is super easy “LEGO” 'variant': 'black', // Product variant - on LEGO we have products like mugs red, green, yellow 'price': '29.20', // Product price (currency). 'coupon': 'APPARELSALE', // Product coupon - We can put here the coupon from our campaigns. And for the general campaigns like LEGO has a full month 30% off at City collection. Put the LEGO City sales that meet the conditions (like 1+1, or 2+1, or 2 +50%) a LEGO City identifier. 'quantity': 1 // Product quantity (number). All of these can be sent to GA on the purchase. Also, we can add custom dimensions like payment method and we must not forget about the VIP Club ID. Incomes and outcomes all in one place Data import lets you upload data from external sources and combine it with data you collect in Google Analytics. You could then use GA to organise and analyse all of your data in ways that reflect your business better. Data imports join the offline data you've uploaded with the default hit data being collected by Google Analytics from your websites, mobile apps or other devices. Imported data can be used to enhance your reports, segments and re-marketing audiences in ways that reflect your own business needs and organisation. The result is a much fuller, more complete picture of your users' online and offline activity. You can import you banners costs, traffic data from mall reports or refunds that maybe you are not tracking in your accounting software connected to Google Analytics. Data imports let you manually do a few of the things I detailed in this article. Big DATA in useful reports At this point, you have a bunch of data. All you need is some simplification. As already Littledata showed you, the final reports are the ones that really matter. Now, you just need to take a seat, grab a pencil and draw the KPI’s that matter to your business. I have some retail KPI’s that can be relevant to your business as they are for a LEGO store: customer retention, cost of goods sold, customer satisfaction incremental sales, average purchase value sales per square foot, cross devices and offline/online, conversion rate in store, track sales target, track bundle performance, employee sales performance, VIP enrollment target. "Sky is the limit" when it comes to understanding your customers. Even if you are a big store or a little one, your company will be able to make adjustments to various strategies and budgets, improve your activity and bring customers better services. Want more information on this blog post? Contact one of our lovely experts for details! Further reading: What is CRO, conversion optimisation, for ecommerce? Image Credit: Image courtesy of http://eveash.com
How to use Google Analytics' hidden features
Google Analytics is a powerful tool when you know how to use it. In this article, we will show you how to use some of the hidden features of Google Analytics and how to empower the use of data in your business. It's often said that the only constant in life is change. Humans are build up to resist change and this resistance to change is now more important than ever. Napoleon once said, "You must change tactics every 10 years if you wish to maintain superiority." In today's society, the pace of change is immensely faster, and it will only continue to accelerate. We know our children are growing up in a technological age, but the ability they show in mastering the new and smart devices is truly amazing. The new age is coming, and online stores must be prepared to meet these kids’ expectations. If you have a website then answer these questions before continuing: Are you attributing new and returning customers to marketing campaigns? How do you make that data accessible, accurate and comprehensive? Do you understand how your customers are using multiple devices through numerous touch points? Are you prepared to measure this type of behaviour as shown in the video below? [embed]https://www.youtube.com/embed/qn7RfQU1MJg[/embed] Stats on ecommerce websites The Internet Retailer Top 500 Guide, published in 2016, mentions that the online sales for 39 publicly trading retail chains ranked at 10.4% while comparable-store sales growth was only 1.4%. Online customers are predicted to spend $414 billion by 2018. That’s more than 57% revenue growth since 2013, according to InternetRetailer.com. Shoppers are flocking to retailer websites with good content: annual product video views increased by 42% in 2015, according to a survey of retailer clients by Invodo Inc., an online video marketing firm. And shoppers who watch a video are 1.7 times more likely to buy something than those who don’t - but videos must be relevant, and those depicting how to assemble or use a product get the best results. If the video has a higher rating, then the consumers are more likely to purchase that product, Invodo found. A five-star rating correlates to a 3.76% conversion rate, while a one-star rating yields a 1% conversion rate only. And do your KPIs consider how the customer feels; does your website do better than this video? [embed]https://youtu.be/3Sk7cOqB9Dk?list=RDN5WurXNec7E[/embed] How can you collect data about your customers? Many powerful analytics tools, such as Google Analytics, are free and can help you analyse where your traffic comes from, what your site visitors search for to find you, and what your potential customers do once they get to your site. You can track visitor interactions with your site at a very detailed level, such as traffic sources associated with revenue and keywords associated with revenue amounts. Tracking your website activity will make sure that the efforts in the above categories, such as changes you’ve made to your website’s appearance and order process, product presentation, incentives and social media, are paying off. If these efforts are paying off, by how much, and which is the best performer? As you probably know, there are hundreds (if not thousands) of ways to drive traffic to your online store. The problem is that many of them are expensive and many of them do not convert. Before you test any type of traffic and spend even a dime on driving traffic to your site, it is imperative that you set up conversion tracking. This way you know exactly which sources are converting for your store and know where to reinvest advertising budget to bring in more sales. How can you use that data? Let me start off with showing you how you can centralise all your digital performance in one place: Google Analytics. If you use a variety of systems and tools to run your business, you can use Google Analytics to join and analyse that data in one place. For example, you can turn separate CRM data, ecommerce data, and Google Analytics data into a single comprehensive view of your business. Each business system you use generates its own data store. Your CRM might contain information like customer loyalty ratings, lifetime value and product preferences. If you are a web publisher, your content management tool probably stores the author name and article category. If you have an ecommerce business, you might create catalogues that describe your products according to prices, style, size, etc. And, since you're reading this, you most likely use Google Analytics to track traffic and performance for your websites, mobile apps or appliances. Typically this data exists in its own 'information silo,' unaffected and uninformed by the data in other silos. But with the data import function, you can merge the data generated by your offline business systems with the online data collected by Google Analytics. This can help you organise, analyse and act upon this unified data view in ways that are better aligned with your specific and unique business needs. For example, as a web publisher, you could unite the web hits collected by Google Analytics with the data dimensions exported from your CMS and CRM systems to analyse the relative contributions of authors to your site. You can use the Google Analytics API and Google Apps Script to access your Google Analytics data from Google Sheets. This is a powerful tool because it allows you to utilise all the great features of Google Sheets with your analytics data, such as easy sharing, collaboration, charting and visualisation tools. Not everyone has the ability to read the Google Analytics reports but with the right implementation and the right declaration of your KPI’s you can generate easy to read, comprehensive and reliable reports on your business. What if you could have a single place to enter and see at a glance what you are interested in? All your business KPI’s brought to you on a plate and with fresh data every day? You can view the most viewed product this week to see if you can supply accordingly, or view your goal funnel and see where your customers abandon the site and much more. Segmenting your clients Use the data to improve. You have a bunch of customers on your website every month. They are all the same but still so different. Do not communicate with them in the same way: segment your customer list. Google Analytics includes predefined segments (system segments) that you can use as provided, or that you can copy and edit to create new custom segments. You can also build your own segments from scratch. In addition, you can import segments from the Analytics Solutions Gallery, a free marketplace where Google Analytics users share segments and other solutions they’ve developed. A segment is a subset of your analytics data. For example, of your entire set of users, one segment might be users from a particular country or city. Another segment might be users who purchase a particular line of products or who visit a specific part of your site. Segments let you isolate and analyse those subsets of data so you can examine and respond to the component trends in your business. For example, if you find that users from a particular geographic region are no longer purchasing a line of products in the same volume as they normally have, you can see whether a competing business is offering the same types of products at lower prices. If that turned out to be the case, you could respond by offering a loyalty discount to those users that undercut your competitor's prices. You can also use segments as the basis for audiences. For example, you might create a segment of users who visit your menswear pages, and then target just those users (your audience) with a remarketing campaign that is focused on the new items that you are adding to those pages. Are your CTAs clickable and your PDFs downloadable? Event tracking is one of the best ways to understand the user actions on your website such as how many times a button was clicked, a form was submitted, or documents were downloaded. You can measure interactions on your site by either implementing the Google Tag Manager Data Layer Event code or leveraging Google Tag Manager's Auto-Event Tracking functionality. With Auto-Event Tracking in Google Tag Manager, capturing these actions is easy. You can create event tags directly within the Google Tag Manager interface and fire them with triggers based on predefined variables or on custom variables that you can build within the Google Tag Manager. Now it’s easy and you have no excuse to see if your business plans are on the right track. If you know what actions your clients do on your website, you have the ability to take actions in the right direction. Stop guessing and start counting numbers and actions. We've written a blog post previously on how to set up event tracking in Google Tag Manager. Track your social buttons I expect you already have social share buttons on your website, but do you track them? Like with the call to action buttons, the social media buttons can be tracked and you can find out the impact of your social presence. There’s a lot of value in both implementing these social buttons in a good and fast way and measuring all these interactions. Seeing which sort of social buttons work for which types of traffic can really help you find what you should be optimising how. Track your campaigns If you are running marketing campaigns on social media you can increase the value and quantity of the insight even on you social media platforms. The standard Facebook pixel is caching the conversion, but by adding some lines of code on the Facebook pixel with the Google Tag Manager you can track the value of a purchase, what searches were made on the website, how many times did the campaign result in items being added to cart and wishlist, how many clients started checkout, content views, adding payment info or completing a registration. Your social campaign will have more relevance and will be more documented when you will merge the force of your data with the data from your social media platforms. To take the problem from the other end, you can build your social campaign in a way that will be shown in Google Analytics in very detailed way. Littledata provides a template to build powerful URL’s that can be used in your social campaigns. The role of this URL is to tag your traffic with the campaign information. The URL builder makes it easy to tag your campaigns and track them in Google Analytics. Simply enter your campaign details, and it will generate a tagged uplink for you in 'Final campaign URL' field. All upper-case characters are converted to lowercase to avoid using a combination of both, which results in same campaigns showing up in different categories in Google Analytics. Download the Littledata campaign tracking sheet with a URL builder. We have detailed this before in this article on the Littledata blog: Why should you tag your campaigns? There’s always room for growth. You can track a client that enters the store, adds to cart, sees the delivery cost and exits; you can retarget a client that bought a product from you with additional products and can set personalisation of the store based on the customer’s behaviour. So when you think you’re done developing that, rethink and start again! Interested in getting help with any of these features? Get in touch with our experts and we'd be happy to help! Get Social! Follow us on LinkedIn, Twitter, and Facebook and keep up-to-date with our Google Analytics insights.
How to calculate your marketing ROI
Are you running campaigns in AdWords, Facebook or on another advertising platform? Do you know whether your marketing efforts are paying off and which channels you should keep investing in to increase your product sales? As marketers face more and more pressure to demonstrate that their activities are contributing towards the profit, there is a bigger need for you to be able to show your decisions yield positive results. But if a particular channel or campaign is doing the opposite and causing your business losses, then the sooner you figure that out, the quicker you'll be able to adjust your further marketing plans. That’s where calculating and tracking your ROI becomes important. By being able to figure out how much you make from investing into a particular campaign or channel, you can figure out where to focus your budget. Whilst it’s difficult to compare the performance of specific marketing tactics across every single industry and company, there are interesting conclusions that have come out from market research. As reported by Web Strategies Inc., the top 3 channels that generated the best ROI were email marketing, SEO / organic search and content marketing. Email marketing has also been reported elsewhere to give the best ROI (source: Campaign Monitor), but you should focus on figuring out the correct ROI for your marketing activities and, based on that, decide which ones work for you best. Further reading: What is CRO, conversion optimisation, for ecommerce? Image Credit: Image courtesy of Maialisa at Pixabay
What is CRO, conversion rate optimisation, for ecommerce?
If you run or work in an ecommerce business, you will always be looking for ways to increase your sales. So CRO or conversion rate optimisation is one of the key metrics you should care about - review and improve it. Are potential buyers leaving your online store before purchasing products? Have you looked at the potential reasons why they may be leaving and ways to improve the number of visitors who end up buying? Increasing that number of people who complete the main action, or convert, is called conversion rate optimisation. Some of the reasons why more people are not buying your products could be: product pages are loading too slowly not enough information provided about the product your ecommerce site has poor navigation information about delivery and returns costs is too confusing/difficult to find need more time to think before committing to a purchase In the video below, Edward gives an overview of CRO and talks through some examples of tests you could be running to find out how to improve your conversion rate. *This video is part of ISDI online training courses for digital professionals. Video transcription so one of the important things, if you're going to increase your return on investment of marketing campaign, is to think about how users engage with your page and this is typically called conversion rate optimisation or increasing the percentage of people who land on the page or visit the page to those that do the main action let's look at this example which is a very generic e-commerce product page as you can see the very obvious call to action, which is highlighted, is to click the Buy button to add it to cart if we get a marketing campaign to push people to page let's say the product here is some pink shoes and our campaign says buy pink shoes we are wasting money that's never going to have a positive return on investment if people out on the page and don't even like the content they don't engage with it so we need to measure very carefully what is the bounce rate of our landing page, and the bounce rate is the percent of people who land on the page and then go away with them without doing any further action and conversion rate optimisation is really the process through which you might go to get more people to convert - in this case to click Buy so we might look at the text on the page the heading could we change the copy to make it more engaging or to make it more fitting with the users expectations so if we advertise for pink shoes this better say pink shoes somewhere in the copy the next thing we'll optimise is the image - is it appealing, is it easy to see what the product is, maybe we might add a 3d visualisation animation of the product for them to get a better feel for it and then we might experiment with a Buy button itself - how about making it bigger or make it red this might seem really trivial but you'd be amazed the difference in conversion between let's say a blue button and a red button, so altogether we can run a series of tests in the next chapter, we're going to look at a series of tests you might run to test those things but the process of doing it is conversion rate optimisation and that's really going to help you boost that return investment from any given marketing campaign Have any questions? Get in touch with our experts! Get Social! Follow us on LinkedIn, Twitter, and Facebook and keep up-to-date with our Google Analytics insights.
How to use Enhanced Ecommerce in Google Analytics to optimise product listings
Ecommerce reporting in Google Analytics is typically used to measure checkout performance or product revenue. However, by analysing events at the top of the funnel, we can see which products need better images, descriptions or pricing to improve conversion. Space on product listing pages is a valuable commodity, and products which get users to click on them – but don’t then result in conversion – need to be removed or amended. Equally, products that never get clicked within the list may need tweaking. Littledata ran this analysis for a UK retailer with Google Analytics Enhanced Ecommerce installed. The result was a scatter plot of product list click-through-rate (CTR) – in this case, based on the ratio of product detail views to product listing views – versus product add-to-cart rate. For this retailer, it was only possible to buy a product from the detail page. We identified three problem categories of product, away from the main cluster: Quick sellers: these had an excellent add-to-cart rate, but did not get enough list clicks. Many of them were upsell items, and should be promoted as ‘you may also like this’. Poor converters: these had high click-through rates, but did not get added to cart. Either the product imaging, description or features need adjusting. Non-starters: never get clicked on within the list. Either there are incorrectly categorised, or the thumbnail/title doesn’t appeal to the audience. They need to be amended or removed. How we did it Step 1 - Build a custom report in GA We need three metrics for each product name (or SKU) - product list views, product detail views and product add to carts - and then add 'product' as a dimension. Step 2 - Export the data into Excel Google Analytics can't do the statistical functional we need, so Excel is our favoured tool. Pick a decent time series (we chose the last three months) and export. Step 3 - Calculate List > Detail click through This website is not capturing Product List CTR as a separate metric in GA, so we need to calculate as Product Detail Views divided by Product List Views. However, our function will ignore products where there were less than 300 list views, where the rate is too subject to chance. Step 4 - Calculate Detail > Add to Cart rate Here we need to calculate Product Adds to Cart divided by Product Detail Views. Again, our function will ignore products where there were less than 200 detail views. Step 5 - Exclude outliers We will use an upper and lower bound of the median +/- three standard deviations to remove improbable outliers (most likely from tracking glitches). First we calculate the median ( =MEDIAN(range) ) and the standard deviation for the population ( =STDEV.P(range) ). Then we can write a formula to filter out all those outside of the range. Step 6 - Plot the data Using the scatter plot type, we specify List > Detail rate as the X axis and Detail > Add to Cart as the Y axis. The next step would be to weight this performance by margin contribution: some poor converters may be worth keeping because the few sales they generate are high margin. If you are interested in setting up Enhanced Ecommerce to get this kind of data or need help with marketing analytics then please get in contact. Get Social! Follow us on LinkedIn, Twitter, and Facebook and keep up-to-date with our Google Analytics insights.
9 tips for marketers using Google Analytics
Setting up Google Analytics to collect data on your website visitors’ behaviour is step one. But are you getting the insights you need? Web analytics tools like Google Analytics can provide a wealth of information about what people do on your site, but it becomes powerful when you do more than just look at trends going up or down. It’s about measuring and improving. Here are some tips on how to use your data for informed marketing decisions for your company. Make analysis a regular habit Checking analytics to evaluate website and marketing performance varies from business to business. Some do it multiple times a day or only when it’s time to do their monthly reporting or end up getting hooked on real-time analytics. Make it a regular habit to analyse your Google Analytics metrics and before you know it, you won’t need the constant reminders to do so and it'll feel less like a chore. You can start off with doing it a few times a week and if you find that there aren’t enough changes to come to any conclusions, then do it less frequently. Whilst for smaller businesses the results won’t change much hour to hour or even day to day, for the bigger businesses changes can be significant on a daily basis. Form your questions Before sifting through your Google Analytics reports, come up with a set of questions that you are looking to answer with your data. You might want to know: What are users searching for? (requires site search to be set up) Which pages are they spending the most time on? Which pages have the highest bounce rate and might need further tweaking? How are my marketing campaigns performing? Is my spending on Adwords justified? Which traffic sources bring the best converting traffic and are worth investing into? Are my call to actions working? (this is where goals come in handy) Know where to measure Think about which reports and metrics will be most suitable to answer your questions. Knowing what you're looking for will minimise the amount you spend wandering aimlessly through numerous reports hoping that you'll find something interesting. It’s said that there are over 100 standard reports available in Google Analytics, so it’s handy to know where to look. The reports are split into 4 main categories: Audience is about the users – where are they, what devices are they using, Acquisition is about how users get to your site – how are your campaigns performing, where do they come from Behaviour is about user interaction with your site – which landing pages get the highest traffic, which pages have the highest bounce rate Conversions is about users completing certain actions (requires further setup to get the most out the reports) – which goals did they complete, what is their shopping and checkout behaviour Pages with high page views and bounces / exit rate Check how your individual pages are performing in All Pages and Landing Pages reports (under Behaviour > Site Content). If your page is getting a lot of page views and has a high bounce / exit rate, then whilst it might be a valuable or attractive piece of content it’s not doing a great job at getting your users to another page. Can you provide some other relevant content on that page? Link to them where appropriate. This will help improve the visitor journey through the site and reduce the bounce rate. Know your user journeys You can use Google Analytics flow reports to view which paths users take through your site and where they drop off. Evaluate the pages with the biggest drop offs - can you improve these pages to encourage users continue their journey? You've put a lot of work into the pages that are meant to convert your site visitors, but it's a waste of all that effort if your journey to the converting page doesn't work. Goal flow report is especially handy for seeing users' paths towards the goals you have set up. Not sure how to set up a goal funnel? Here's how. Segment your users Use Google Analytics segments to view and analyse a separate subset of user data. You could view your reports for users from a specific location, eg Spain, or with a specific device, eg Apple iPad, or by certain behaviour, eg made a purchase. Check out Google's guidance on using segments. Evaluate your tagged campaigns Custom campaign tracking is important for organising your campaigns so you can review the performance effectively. If you're not tagging your campaigns yet, check out our blog post on how to tag your campaigns. Share findings with the team It’s great if you get into the habit of reviewing Google Analytics data on a regular basis to inform your actions. What's even better is if you create a team culture where you share findings with each other. You can email around individual reports, share insight at team meetings, set up custom alerts or sign up to our web-based tool to do that for you. For those less geeky or knowledgeable about data, make sure you translate the findings into plain English statements (PS. our tool already does that too). Continuos improvement When Dave Brailsford became the head of British Cycling, he implemented the concept of marginal gains within cycling. He believed that by breaking up the process of competing and improving every step by 1%, they would see a big improvement in their team. And he was right. All the small changes accumulated into a massive performance boost, and Team GB surpassed everyone’s expectations by going on to some big wins at Olympics and Tour de France. This can apply to many other areas as well - customer satisfaction, improving service quality, doing minor updates to marketing campaigns. Rather than focussing on one big improvement and spending weeks or months on it, before even knowing if it'll work, look at the potential small changes you could make. You will spot much more quickly which of these changes are of benefit and which are not. There's a lot of information stored in your Google Analytics, when used correctly and regularly you will start getting the insight you need to guide your marketing efforts. Suggestions above will help you do just that. Something else on your mind? Let us know in the comments below or get in touch! Images: Courtesy of Suriya Kankliang, pannawat at FreeDigitalPhotos.net
New in Littledata: tailored tips, new reports and more
We released the last updates just a few weeks back, but we've done it again. The new improvements will help you get more out of your reports and make your analysis more efficient, but if you've got any other requests or feedback, don't hesitate to let us know. So here's what we've done. Report improvements Discover where you need to improve Tips reports identify the gaps in your analytics setup and suggest fixes or improvements to boost your tracking. We are working on bringing you more of these tailored tips but we need to know what you're trying to achieve to get these right. By updating your report preferences in the subscription settings, you will start getting personalised suggestions and we will use this information for other future tailored reports. You can get to your subscription settings by clicking on the cog icon in the header. See more detail on your referrals It's important to stay on top of your website traffic changes with minimum time waste. This is why we developed Littledata software in the first place. Now we have added extra information to your referrals reports so you can immediately see which sources had the biggest increase or decrease. You will also see the option to pick the type of reports you want to get. Just click on the 'Yes please' button at the bottom of the report to see your choices for customisation. New monthly report So far you've been getting reports that look at the changes in your Google Analytics data on a daily and weekly basis. We've had a lot of requests for monthly comparison reports instead, so we've added these to your feed. Just like your daily and weekly reports, you can spot the new monthly ones by the time tag. Benchmark your website performance It has always been difficult to get a hold of benchmark data to find out how you’re performing against others. You often have to spend a lot of time crawling through the internet to find anything remotely useful. With our new website performance benchmarks we are changing that. Now you can compare your engagement metrics to other websites. You’ll be able to tell whether you need to focus on improving your bounce rate from a particular source, or page load for example. Feel free to ask questions or send us your comments either below or via the Intercom Messenger available when you're logged in. Further reading: Under the hood of Littledata
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