How to calculate customer lifetime value (CLV) for subscription ecommerce in Google Analytics
Many of Littledata's subscription customers come to us with a similar problem: how to calculate return on advertising spend, considering the varying customer lifetime value (CLV) of subscription signups. Calculating marketing ROI for subscription ecommerce is a big problem with a number of potential solutions, but even the initial problem is often misunderstood. In this post I break down what the problem is, and walk through two proven solutions for getting consistent, reliable CLV reporting in Google Analytics. What is customer lifetime value? I work with all kinds of subscription ecommerce businesses: beauty boxes, nutritional supplements, training courses and even sunglasses-by-the-month. All of them want to optimise customer acquisition costs. The common factor is they are all willing to pay way MORE than the value of the customers' first subscription payment... because they expect the customer to subscribe for many months. But for how many months exactly? That's the big question. Paying for a marketing campaign which bring trial customers who cancel after one payment - or worse, before the first payment - is very different from paying to attract sticky subscribers. A marketing director of a subscription business should be willing to pay WAY more to attract customers than stay 12 months than customers who only stay one month. 12 times more, to be precise. So how do we measure the different contribution of marketing campaigns to lifetime customer value? In Google Analytics you may be using ecommerce tracking to measure the first order value, but this misses the crucial detail of how long those shoppers will remain subscribers. With lifetime customer value segments we can make more efficient use of media, tailor adverts to different segments, find new customers with lookalike audiences and target loyalty campaigns. There are two ways for a marketing manager to see this data in Google Analytics: one is a more difficult, manual solution; the other is an easier, automated solution that ties recurring payments back to the original campaigns. A manual solution: segment orders and assign a lifetime value to each channel It's possible to see the required data in GA by manually segmenting orders and assigning a lifetime value to each channel. For this solution you'll need to join together: (a) the source of a sample of first orders from more than a year ago, by customer number or transaction ID and (b) the CLV of these customers The accuracy of the data set for A is limited by how your Google Analytics is set up: if your ecommerce marketing attribution is not accurate (e.g. using Shopify's out-the-box GA scripts) then any analysis is flawed. You can get B from your subscription billing solution, exporting a list of customer payments (and anonymising the name or email before you share the file internally). To link B to A, you'll need either to have the customer number or transaction ID of the first payment (if this is stored in Google Analytics). [subscribe] Then you can join the two data sets in Excel (using VLOOKUP or similar function), and average out the lifetime value by channel. Even though it's only a sample, if you have more than 100 customers in each major channel it should give you enough data to extrapolate from. Now you've got that CLV by channel, and assuming that is steady over time, you could import that back into Google Analytics by sending a custom event when a new customer subscribes with the 'event value' set as the lifetime value. The caveat is that CLV by channel will likely change over time, so you'll need to repeat the analysis every month. If you're looking to get away from manual solutions and excessive spreadsheets, read on... A better solution: tie recurring payments back to the original campaign(s) What if you could import the recurring payments into Google Analytics directly, as they are paid, so the CLV is constantly updated and can be segmented by campaign, country, device or any other standard GA dimension? This is what our Google Analytics connection for ReCharge does. Available for any store using Shopify as their ecommerce platform and ReCharge for recurring billing, the smart connection (integration) ties every recurring payment back to the campaigns in GA. Here's how the connector works The only drawback is that you'll need to wait a few months for enough customer purchase history (which feeds into CLV) to be gathered. We think it's worth the wait, as you then have accurate data going forward without needing to do any manual imports or exports. Then, if you also import your campaign costs automatically, you can do the Return on Investment (ROI) calculations directly in Google Analytics, using GA's new ROI Analysis report (under Conversions > Attribution), or in your favourite reporting tool. Do you have a unique way of tracking your marketing to maximise CLV? Are there other metrics you think are more important for subscription retailers? Littledata's connections are growing. We'll be launching integrations for other payment solutions later this year, so let us know if there's a particular one you'd like to see next.
Littledata’s V8 Shopify Tracking Code: faster and more versatile
Enhanced Magento connection: Welt Pixel app for Google Analytics
As part of our Magento connection, we're excited to announce our partnership with Welt Pixel. Not only will this allow us to offer more dynamic enterprise plans for Magento merchants, but it creates a ripe opportunity for interested enterprises to join Magento's unique ecommerce network. Through Welt Pixel's Magento 2 extension, we've been able to provide store owners with complete, accurate data, including: Full Enhanced Ecommerce shopping behaviour events Custom dimensions for product reviews and stock status Light-weight script for fast-loading pages Full configuration in Google Tag Manager A connection you can trust With this new partnership, Google Analytics Enhanced Ecommerce for Magento 2 enables full Enhanced Ecommerce tracking implemented in just minutes. That way, you can start gathering valuable data literally overnight to make better, data-based company decisions than ever before. Magento users can also track product views, clicks, detail impressions, cart-related user actions (adding or removing products), promotion data, purchase data, refunds, and more. Enterprise plans Our Magento connection is available at any enterprise level. Littledata's Enterprise plans include unlimited app features, such as Facebook Ads and Google Ads connections with Google Analytics, plus options for custom setup and reporting. Plan features include: Advanced setup for Google Analytics and Google Tag Manager Account management from a certified Google Analytics expert Knowledge of best practices for Magento 1 and Magento 2 Advice on analytics and platform migrations Multi-channel marketing attribution and Lifetime Value reporting Private benchmarks [subscribe heading="Get accurate data for Magento" button_text="Get started" button_link="https://www.littledata.io/connections/magento"] Getting started If you don't already have a Littledata account, you can book a demo with a Magento analytics expert. Questions? We're here to help you scale — contact us with any questions about Littledata, our Magento connection, or what our new Welt Pixel partnership means for your store.
Announcing our new Shopify app for Segment users
Littledata's new Shopify app for Segment tracks sales and browsing behavior automatically, so you can focus on growth. Thousands of online businesses use Segment to clean, collect and control customer data. Littledata's Segment connection fixes ecommerce tracking automatically, and sends that data to your Segment workspace. Our Shopify-to-Segment connection is the newest source in the Segment catalog, joining over 200 powerful integrations. We've always loved Segment, and with a growing number of shared customers (larger ecommerce sites using both Segment and Littledata), building a seamless connection was a no-brainer. Automated ecommerce tracking Like our Google Analytics connection for Shopify stores, our Segment connection uses server-side tracking to capture every step in your checkout flow, plus sales, refunds, product variants, and more. It's the easiest way to ensure accurate, detailed data about sales and shopping behaviour. In fact, Littledata is the only recommended Segment integration for Shopify and Shopify Plus! Benefits include: Works with any Shopify or Shopify Plus store Server-side tracking for 100% accuracy Captures every touch point, including checkout steps, sales data and customer lifetime value (CLV) Analytics audit to check for accurate tracking The connection captures what happens on your Shopify store, then pushes that data to Segment so you can send it to hundreds of Segment destinations. Customers use this for marketing automation, campaign personalization, ecommerce optimization, reporting and analysis. For example, you can push your Shopify data to tools including Hubspot, Salesforce, Mixpanel and Google Analytics. Browse our Segment help guides for details about which events you can track with our Segment connection. [subscribe heading="Best Shopify app for Segment users" button_text="Free trial" button_link="https://apps.shopify.com/segment-com-by-littledata"] Getting started Getting started is easy. If you don't already have a Littledata account, you can download Littledata's Shopify app for Segment users directly from the Shopify app store - with free trials on all plans! If you're already using Littledata, you can add the Segment connection from the Connections tab in your Littledata admin. Questions? Our enterprise plans now include the option for custom Segment data audits, setup and reporting. We're here to help you scale.
Littledata featured on the Honest Ecommerce podcast for Shopify stores
I recently stopped by the Honest Ecommerce podcast to give listeners the lowdown on ecommerce analytics. Check it out to learn how to fix tracking for Shopify stores! Get the free podcast episode here: Ep. 21 - How To Track Shopify Sales & Marketing (In A Way That Is Accurate & Useful) Honest Ecommerce is one of the fastest growing podcasts for Shopify and Shopify Plus store owners, from the good folks at Electric Eye agency in Columbus, Ohio. While the episode is focused on tips for Shopify stores, we chat about ecommerce tracking for every type of store, whatever platform and business model you're using, and how to do more with less, rather than getting bogged down in too much -- or inaccurate -- data. In the episode we cover: Why we started Littledata and the journey so far What is wrong with your data? (Does your Shopify data match what you see in Google Analytics?) What KPIs should you be looking at in Google Analytics? Using data to drive your business Analytics audits & ecommerce benchmarking How our integrations work, including Facebook Ads, ReCharge and Refersion Littledata's new Segment app for Shopify stores How to connect Facebook Ads data with Google Analytics automatically Which types of ecommerce sites get the most out of Littledata? And much more! :) Check it out and let us know what you'd like to hear about in our next podcast appearance. Haven't tried Littledata yet? Explore our connections or sign up for a free trial today.
How to fix marketing attribution for Safari ITP 2.2
The latest version of Safari limits the ability for Google Analytics (and any other marketing tags) to track users across domains, and between visits more than a day apart. Here’s how to get this fixed for your site. This article was updated 12th June 2019 to clarify changes for ITP 2.2. How does this affect my analytics? Safari's Intelligent Tracking Prevention (ITP) dramatically changes how you can attribute marketing on one of the web's most popular browsers, and ITP 2.1 makes this even more difficult. How will the changes affect your analytics? Currently your marketing attribution in Google Analytics (GA) relies on tracking users across different visits on the same browser with a first-party user cookie - set on your domain by the GA tracking code. GA assigns every visitor an anonymous ‘client ID’ so that the user browsing your website on Saturday can be linked to the same browser that comes back on Monday to purchase. In theory this user-tracking cookie can last up to 2 years from the date of the first visit (in practice, many users clear their cookies more frequently than that), but anything more than one month is good enough for most marketing attribution. ITP breaks that user tracking in two major ways: Any cookie set by the browser, will be deleted after 7 days (ITP 2.1)Any cookie set by the browser, after the user has come from a cross-domain link, will be deleted after one day (ITP 2.2) This will disrupt your marketing attribution. Let’s take two examples. Visitor A comes from an affiliate on Saturday, and then comes back the next Saturday to purchase: Before ITP: sale is attributed to AffiliateAfter ITP: sale is attributed to ‘Direct’Why: 2nd visit is more than one day after the 1st Visitor B comes from a Facebook Ad to your latest blog post on myblog.com, and goes on to purchase: Before ITP: sale is attribute to FacebookAfter ITP: sale is attributed to ‘Direct’Why: the visit to the blog is not linked to the visit on another domain The overall effect will be an apparent increase in users and sessions from Safari, as the same number of user journeys are broken in down into more, shorter journeys. How big is the problem? This is a big problem! Depending on your traffic sources it is likely to affect between a quarter and a half of all your visits. The update (ITP 2.1) is included in Safari version 12.1 onwards for Mac OS and Safari Mobile. It does not affect Safari in-app browsing. Apple released iOS 12.2 and Mac OS 10.14.4 on 25th March 2019, and at the time of writing around 30% of all web visits came from these two browser versions on a sample of larger sites. The volume for your site may vary; you can apply this Google Analytics segment to see exactly how. The affected traffic will be greater if you have high mobile use or more usage in the US (where iPhones are more popular). Why is Apple making these changes? Apple has made a strong point of user privacy over the last few years. Their billboard ad at the CES conference in Las Vegas earlier this year makes that point clearly! Although Google Chrome has overtaken Safari, Internet Explorer and Firefox in popularity on the desktop, Safari maintains a very dominant position in mobile browsing due to the ubiquitous iPhone. Apple develops Safari to provide a secure web interface for their users, and with Intelligent Tracking Prevention (ITP) they intended to reduce creepy retargeting ads following you around the web. Genuine web analytics has just been caught in the cross-fire. Unfortunately this is likely not to be the last attack on web analytics, and a permanent solution may not be around for some time. Our belief is that users expect companies to track them across their own branded websites and so the workarounds below are ethical and not violating the user privacy that Apple is trying to protect. How to fix this There are three outline fixes I would recommend. I’m grateful to Simo Ahava for his research on all the possible solutions. The right solution for your site depends on your server setup and the development resources you have available. If you’re lucky enough to use our Shopify app the next version of our script will include solution 1 below. Contact our support team if you'd like to test the private beta version. For each solution, I’ve rated them out of three in these areas: Quick setup: how much development time it will take to solveCompatibility: how likely this is to work with different domain setupsLongevity: how likely this is to work for future updates to Safari ITP Solution 1: Local storage Quick setup *** Compatibility ** Longevity* To solve the one day cookie expiry, you store the GA client ID in the browser’s local storage (which does not expire), along with the cookie. So before we allow GA to set a new client ID we first check if the Safari browser has a local storage. Here are the full technical details. Solution 2: Common iFrame plus local storage Quick setup ** Compatibility*** Longevity * The problem with solution 1 is that local storage is only available to an individual subdomain. Let's imagine a user journey that goes: Day 1: Visits blog.mysite.comDay 8: Visits shop.mysite.com In this case, the two visits cannot be linked because after 7 days the cookie has expired, and shop.mysite.com cannot access local storage on blog.mysite.com. Solution 2 fixes this by setting up a page on the top level domain (e.g. www.mysite.com/tracker.html) on which that local storage is set, and the page can be accessed from any subdomain. What makes it longer to setup is it will require a new page on your web server, not just script changes on the existing pages (or via GTM). Full technical details. Solution 3: Server-side cookie service Quick setup * Compatibility *** Longevity *** In the long term, ITP may target the local storage API itself (which is already blocked in Private browsing mode). So solution 3 securely sets the HTTPS cookie from your web server itself, rather than via a browser script. This also has the advantage of making sure any cross-domain links tracked using GA's linker plugin can last more than one day after the click-through with ITP 2.2. The downside is this requires either adapting your servers, proxy servers or CDN to serve a cookie for GA and adapt the GA client-side libraries to work on a web server. If your company uses Node.js servers or a CDN like Amazon CloudFront or Cloudflare this may be significantly easier to achieve. If you don’t have direct control of your server infrastructure it’s a non-starter. Full technical details. What about other marketing tags working on Safari? All other marketing tags which track users across more than one session or one subdomain are going to experience the same problem. With Google Ads the best solution is to link your Ad account to Google Analytics, since this enables Google to use the GA cookie to better attribute conversion in Google Ads reporting. Facebook will no doubt provide a solution of their own, but in the meantime you can also attribute Facebook spend in GA using Littledata’s connection for Facebook Ads. Are there any downsides of making these changes? As with any technical solution, there are upsides and downsides. The main downside here is again with user privacy. Legally, you might start over-tracking users. By resetting cookies from the local storage that the user previously requested to be deleted, this could be violating a user’s right to be forgotten under GDPR. The problem with ITP is it is actually overriding the user’s preference to keep the cookie in usual circumstances, so there is no way of knowing the cookie was deleted by the user … or by Safari supposed looking out for the user! Unfortunately as with any customisation to the tracking code it brings more complexity to maintain, but I feel this is well worth the effort to maintain marketing attribution on one of the world's most popular browsers.
New Klickly integration for Shopify stores
We're excited to announce a new integration with Klickly! Get ready for smarter analytics. Many Shopify stores know that their data isn't accurate, but they don't know where to start. Littledata tracks everything automatically. Our new Klickly integration offers full sales and marketing tracking, plus a free custom report to help you get higher ROI on Klickly campaigns. What’s Klickly? Klickly is an invite-only, commission-based advertising platform that enables ecommerce merchants to run unique buyable ads on thousands of well-known websites. With risk-free, commission-based pricing, you don't pay commission until Klickly gets you a sale. Setup takes less than 10 minutes, and there are no long-term agreements or fees. Stop paying for clicks + impressions that don’t lead to sales. Klickly lets you pay only when ads drive sales and set the commission that’s right for you. Benefits of Littledata's Klickly integration: Campaign reporting – Get automated reporting for sales from Klickly Ads Marketing attribution – Connect marketing channels and campaigns with shopping cart activity and buyer behaviour, with automated tracking for Shopify stores Optimisation – Make data-driven decisions with Littledata’s industry-leading analytics audit, smart connections and industry benchmarks Setup guide For the Littledata - Klickly integration to work, you need to have both apps installed for your store. Install Klickly and Littledata Ask the Littledata support team to activate the Klickly report for you Yes, it’s that easy! You can contact Littledata support from the Intercom widget in the app, or just reply to any of our onboarding emails :) Enterprise plans for larger Shopify stores and Shopify Plus If you run a larger Shopify store on Shopify or Shopify Plus, we’re here to help you scale. Littledata offers enterprise plans that include custom setup and a dedicated account manager. This can include anything from GTM setup to custom reporting. Larger stores looking for an enterprise plan are encouraged to sign up for a free trial of Littledata, then contact us for a free consultation so we can take an in-depth look at your setup. If you’re a digital agency with multiple customers on Shopify using Klickly, even better! Check out our agency partner program for Shopify experts. If you're looking for accurate, actionable analytics, Littledata's new Klickly integration will help you scale the smart way. Say hello to a better way!
8 ways to minimise cart abandonment
It might be a familiar sinking feeling - why do users keep deciding at the last minute not to buy an item? There are a whole range of reasons that online shopper abandon their shopping carts. You might not be able to do anything about the majority of these reasons, but if you are seeing a high cart abandonment rate then it is definitely something you can actively work on minimising. In this post I dive into shopping cart abandonment: what it is, why it matters, and how to minimise it using proven practices from successful ecommerce sites. What is the average rate of cart abandonment? The Baymard Institute has compared reported cart abandonment from 41 studies, to conclude that the average rate stands at 69.57% in 2019. However, reports varied wildly over the years. In 2010, Forrester Research calculated that cart abandonment stood at just 55%. At the high end of the scale, AbandonAid stated in 2017 that cart abandonment occurs 81.4% of the time. Is your average checkout completion rate below the industry average? How to calculate cart abandonment rate Fortunately, there is no need to consult a mathematician when it comes to calculating your cart abandonment rate. To find the percentage of users who have not completed a purchase after adding an item to their cart, you must divide the number of complete purchases by the number of carts created: 1 - (Complete purchases/Carts created) x100 After doing this division, subtract the result from 1 and multiply by 100 to get your percentage. Fortunately, there’s no need to get the calculator out. You can easily monitor ecommere analytics with Littledata’s Shopify app. Connect this to Google Analytics to make the most out of tracking user movements - in this instance, when they removing products from the cart. Why might a cart get abandoned? There is no simple answer to this question. The truth is, carts get abandoned for a variety of reasons, although the recurring theme is that a lower abandonment rate means a more intuitive and trustworthy store. A high proportion of people browsing your store might be doing so in the hope of coming across a hidden discount, to compare prices or to check your stock against competitors. Some might even be compiling a wishlist for the future, with almost no intention of purchasing your product now. In short, there isn’t a lot you can do about this type of shopper. Focus, then, has to turn to the shoppers who would have made a purchase, was it not for an element of your site or checkout process that led to them scurrying away. As part of the Baymard Institute’s research into cart abandonment, it conducted a survey of over 2,500 US adults asking why they abandoned their purchase after passing the stage of adding an item to their cart. Many of the factors above can be countered by making tweaks to the checkout process. Take the second largest influence - “the site wanted me to create an account”. By offering a guest checkout option where an account is not necessary, this 34% of respondents will be one step closer to purchasing the product in their cart, and avoiding the dreaded stage of checkout abandonment. What goes into a better checkout process? It’s fine to say that the checkout needs to be streamlined in order to reduce cart abandonment, but what does this actually mean? What are the characteristics of a site that experiences relatively low checkout abandonment? This is specifically about what happens after a user has added a product to their cart - optimising add-to-cart rate itself is a different stage in the purchase funnel that we have talked about before here at Littledata. The first thing to take a look at is the intuitiveness of your buying process. After adding a product to cart, ensure that the following trail resembles a standard ecommerce store. This might mean identifying a clear “checkout button”, followed by payment options and providing delivery address, then reviewing the order before submitting. Any significant change to the standard process could throw a user off balance. Making your store as trustworthy as possible is another key step to reducing cart abandonment. Check that the secure payment icons are visible when checking out, and a money-back guarantee will always send a customer’s confidence skyrocketing. Offering incentives to complete a purchase also does the trick. As mentioned, shoppers may be on your site as part of a price comparison tour, so making a 10% discount visible from the outset will make your site a winner in the eyes of many a potential customer. In a similar vein, you should make sure that product and delivery details are easy to locate and understand. Adweek shows that 81% of shoppers conduct detailed research before buying a product, so make this task easier for them. Please don’t include any last-minute delivery charge shocks. Another thing to consider is the mobile-friendliness of your checkout process. The statistic that half of all ecommerce revenue will be mobile-based by 2020 is banded around a lot, but shouldn’t be ignored. If a site is near impossible to navigate on mobile, you can be sure of frustrated cart abandonment. 8 ways to minimise cart abandonment I want to give you a list of specific ideas that you could implement on your site. These have all been taken from Missions - our new optimisation tool. Each mission consists of a pack of ecommerce optimisation tips on a certain subject, complete with evidence and studies found by our researchers. The following eight tips, of course, have all been taken from our “Minimise Cart Abandonment” mission. Steeped in proof, we like to take a step away from gut feel. These tips have all reduced cart abandonment for other sites, and I am sure that some of their effects can be replicated. 1) Send cart abandonment emails This one really is the only place to start. We will of course take a closer look at tweaks you can make to your sales funnel, but targeting people who have already abandoned their carts is a crucial way of reviving a potential sale. Ecommerce site owners are becoming increasingly aware of the opportunities provided by email marketing. Hertz are one company making the most of this practice, reporting that 37% of people who opened a cart abandonment email went on to make a booking. In the past, so much money would have been left on the table by users who abandoned carts. Now, it’s so easy to send a personalised email to every customer who abandons their purchase on your site. This is all about remembering that not everybody who abandons a purchase does so on bad terms. They may simply have gotten distracted, or left the purchase for a later date. A friendly nudge back towards your buying funnel might be just what they are after! 2) Trigger exit surveys and live chat at key moments If a user is on the brink of exiting a site in frustration at not being able to find what they want, a live chat session could keep them around. Some classic stats served up by BoldChat suggest that live chat is the preferred method of communicating with a business for 21% of shoppers. If you manage to solve a customer’s biggest doubts, they will be one step closer to completing a purchase. In turn, exit surveys allow you to gather the opinions of customers who abandoned their cart. Why didn’t they make a purchase? Gold dust. Easily identify recurring themes and patch these things up so fewer potential sales slip through the net. A handy tip for exit surveys - give people open-ended questions to answer instead of preset options. According to Groovehq, this will increase response rate by 10%. 3) Use address lookup technology to minimise typing Form-filling is dull. Customers know this as well as anyone, and will often go to great lengths to avoid it. If your checkout funnel is littered with unnecessary forms to fill, more than a couple of potential customers will run like the wind. Of course, a customer’s shipping address is central to completing their order. To make this easier on them, some accurate address lookup technology such as Loqate will squash the time it takes to get things done. Anything you can do to make the form-filling process as pain-free as possible is a surefire way of reducing your cart abandonment rate. Hotel Chocolat, after introducing address lookup, reported a 19% uplift in the amount of people completing each stage of their checkout funnel. 4) Give shoppers the option of using a guest checkout Finding the option to “checkout as a guest” is starting to come as naturally to customers as looking for the “add-to-cart” button. Research from the Baymard Institute indicated that 30% of all shoppers abandon their purchase immediately upon viewing a registration process. Not even a second thought! Similarly to tip #3, this is all about saving time on the customer’s side. If they have a product in their basket and are willing to pay for it, the last thing you want to do is shove a registration form in their face. 5) Use dynamic retargeting to recover lost sales Stella & Dot saw their average order value increase by 17% when targeting customers with more relevant ads. This is all about employing technology which is able to accurately create a picture of a customer’s browsing experience, so that they can be targeted with adverts to match their interests. Although female lifestyle and fashion website Stella & Dot were more focussed on increasing their average order value, dynamic retargeting is a valid method of reducing cart abandonment by presenting individual users with adverts to match their activity. 6) Provide a one-click checkout Made famous by retail giant Amazon, a one-click or one-step checkout allows a user to immediately purchase a product if they already have their payment details registered on the site. The ability to avoid form-filling and save time is a godsend for shoppers - and the estimated $2.4 billion value of Amazon’s recently expired one-step checkout patent goes to show this. Other ecommerce sites have designed one-click checkouts of their own, finding that they do wonders for retaining customers within the purchase funnel. A case study by Strangeloop showed that implementing a one-step checkout increased conversion rate by 66%. 7) Be clear about delivery (especially free shipping) A joint study conducted by eDigitalResearch and IMRG found that 53% of cart-abandoners cite unacceptably high shipping costs as the reason for abandoning their purchase. Making sure that your shipping fees are blindingly obvious from an early stage in your purchase funnel will prevent any user frustration at discovering the cost just before payment, or simply not being able to locate this information at all. A study by Accent has shown that 88% of online shoppers expect free shipping to be offered to them in one way or another. Failing to meet this rising expectation will likely result in a chunk of abandoned carts. 8) Experiment with exit-intent popups It isn’t a coincidence that popups always appear just when you are about to close a page. Many sites use technology that detects an aggressive mouse movement towards the top corner of the screen - usually a sign that it will be closed down. These are a last-ditch attempt to keep a user browsing the site, but if they capture attention in the right way then they can work wonders in terms of saving a cart that was about to be abandoned. A common tactic is to offer a discount. Research from Beeketing indicates that 48% of ‘window shoppers’ would buy a product they were interested in if they were offered a limited-time discount. This works on the scarcity principle - a perceived rush to buy a product can prevent someone from abandoning their cart to come back at a later date. Reduce your cart abandonment today Packed with plenty of tips similar to the ones we have explored, the ‘Minimise Cart Abandonment’ mission will equip you with an arsenal of techniques to drive that statistic down and keep shoppers inside your purchase funnel until the very end. Littledata automatically benchmarks ecommerce sites so you can see how you compare, then recommends missions to optimise performance. Knowing your average checkout completion rate is a good place to start. Whether you're looking at a Shopify abandoned cart or abandoned carts on a different ecommerce platform, you can launch the 'Minimise Cart Abandonment' mission directly from your Littledata dashboard. Use the app to track progress as you test ideas to discover what works best for your site. And one final tip: don’t try to fix everything at once. Start with one of the tips above that’s most relevant to your current shopping funnel, and go - or should I say grow - from there! This is a guest post by Jack Vale, a UK-based freelance writer and ecommerce expert.
How to succeed with subscription ecommerce: podcast and virtual summit
We're excited to participate in eCommerce Master Plan's virtual summit for subscription ecommerce this week. Littledata CEO Edward Upton is one of the lecturers, and that's not all! Over 10 industry experts have contributed in-depth online sessions to the summit, with advice for a variety of sites. This popular online conference is the place to be, whether you're just launching subscription products or looking to optimize revenue and customer lifetime value for an established brand. eCommerce Master Plan Virtual Summit The summit is a gathering place for thought leaders and growing brands. Sessions are live today, Tuesday 30th April, and unlocked for participants until 5pm on Thursday 2nd May. In one of the online sessions, Ed shares essential advice about Customer Lifetime Value (CLV) for subscription ecommerce. Get the inside scoop on how to calculate CLV and what it means for your business. The summit is a who's-who of next-gen ecommerce apps and consultants. Ed is joined by experts from ReCharge, Churn Buster and more. Topics include everything from launching and scaling a subscription box company, to specifics about Facebook Ads and loyalty programmes. Why attend the summit? Why should you attend this 3-day annual conference? Chloe and the team break it down into the most convincing reasons: HUGE OpportunityThe latest Royal Mail research predicts the Subscription Box market will be worth £1 billion in 2022. This Summit will give you the knowledge to grab your share of that market growth It's a different ball gameSubscription eCommerce is a very different type of business to a 'normal' eCommerce business. Different challenges, different opportunities. This Summit will explore those differences, and how to make the most of them to build and grow your subscription business. Keep OptimisingLearn multiple ways to optimise and improve the marketing of subscription products. We couldn't agree more. It's why we built, and why we regularly highlight content specifically for online retailers selling things by subscription - whether it's the heart of your business (like it is for our customers Athletic Greens and Dry Farm Wines) or simply a part of your wider product mix. Plus, it's a virtual summit so travel costs are nonexistent. So start brewing that coffee at home and hop online for non-stop learning. Sign up today! Free podcast with subscription ecommerce tips Want to learn more before signing up? Conference organizer (and ecommerce mastermind) Chloe Thomas has you covered. Check out Chloe's latest podcast (the 213th episode!) on top tips from the summit - including some from Littledata. If you're looking for even more free content, this podcast episode is a great compliment to Ed's appearance on the eCommerce Fastlane podcast, where he breaks down how to get a complete picture of your store's performance, from marketing channels through repeat buying behaviour. Thanks and see you at the summit!
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