Category : Integrations
Top 4 benefits of connecting ReCharge with your Shopify store
As the most popular recurring billing solution for Shopify stores, ReCharge helps Shopify and Shopify Plus merchants sell subscriptions easily and smoothly. ReCharge's feature set also allows for a variety of subscription types, including single product, mixed cart & entire cart subscriptions. In our last post, we talked about major challenges for Shopify store owners who manage subscription orders. Today, we're outlining a major solution. Why use ReCharge? By installing ReCharge, Shopify merchants can customise subscriptions for their store (including custom promotions via Advanced Discounts API). The ReCharge and Shopify APIs allow developers to customise the checkout experience for customers and personalise how those customers manage their subscriptions. And that's not all — with access to the ReCharge API, Shopify merchants can harness the power of marketing automation. Whether you want to automate product discount codes, order cancellation processes or updated pricing on select items, you can do just that. Installing ReCharge on your store also means orders are processed faster (thanks to an increased API call limit). For Shopify Plus merchants, ReCharge has full compatibility with popular apps like Klaviyo and Smile.io. Why connect ReCharge with Shopify? As mentioned above, ReCharge helps Shopify store owners easily sell and manage subscriptions. However, without hiring expensive Google Analytics consultants, ReCharge customers don't have a way to access a complete data collection in Google Analytics — until recently. [subscribe heading="Get Littledata's ReCharge connection for your Shopify store" background_color="green" button_text="get the connection" button_link="https://www.littledata.io/connections/recharge"] Wait, why Google Analytics? Arguably the most powerful free tool available to marketers, Google Analytics is a robust data platform that allows for multi-layered tracking, buyer behaviour analysis, segmenting by user characteristics and much more. While GA offers free features and hundreds of metrics for stores of all sizes, it certainly isn't without shortcomings. However, Littledata offers a way to maximise the power of Google Analytics' powerful data platform along with the Shopify ReCharge connection: How to optimise the Shopify ReCharge connection Unfortunately, simply installing ReCharge on your Shopify or Shopify Plus store limits the full power of the connection. That's where we come in. Littledata's Shopify ReCharge connection opens the door to accurate data for recurring transactions through an automated, advanced Google Analytics integration. With Littledata's connection, merchants not only benefit from accurate data — they get more features, automated tools and ways to track their store's performance in GA: 1) Automatically track first-time payments & recurring transactions Shopify reporting is now 10x easier. With Littledata's Shopify ReCharge connection, merchants can enjoy easy tracking of the entire customer journey along with accurate marketing attribution. The best part: you won't need to lift a finger (after granting GA access, of course). 2) Get marketing attribution for subscription revenue Littledata's smart technology automatically connects your ReCharge checkout with Google Analytics for accurate subscription revenue, including first-time payments and recurring transactions. 3) Segment your performance Whether by payment source, subscription plan type or product category, connecting ReCharge with your Shopify store allows you to track performance by segment. Not only does this ensure accurate tracking of your entire ecommerce funnel, but it also frees you to take full advantage of automated Shopify reporting to grow revenue (including report packs designed for subscription analytics). 4) Benchmark your site See how you stack up against other subscription-based Shopify merchants with Littledata's powerful ecommerce benchmarking tool. Not only will integrating ReCharge allow you to see website benchmarks by industry, but you'll also see which key metrics are succeeding and which of them have room for improvement. The ReCharge connection also offers access to professional-level subscription analytics tools. How the Shopify ReCharge integration works From marketing campaigns to first-time transactions and recurring revenue, integrating Littledata with ReCharge lets you capture the entire subscriber journey and all the crucial data it produces. With Littledata’s magic sauce, your Shopify store and ReCharge data are automatically connected and reeled into Google Analytics. Once the two are integrated, Littledata’s revenue optimisation tools pull straight from your Google Analytics data. Connect the apps you know and love In addition to the ReCharge connection, Littledata lets you loop in the subscription tools and marketing apps you rely on most — Facebook Ads, Google Ads, CartHook, Refersion, and more!. Bottom line: Littledata automates the process to ensure accurate sales data and marketing attribution for your Shopify store. You can view the data directly in Google Analytics, or in the Littledata app.
3 massive hurdles for merchants who manage subscription orders
For merchants who run subscription-based businesses, accuracy is crucial for tracking recurring orders. The problem: popular platforms like Shopify provide merchants with native analytics that are broken. In other words, these platforms don't offer a complete picture (or an accurate one) of data that subscription-based stores depend on. There are many potential blockers for these store owners, but we narrowed it down to three: 1) Customisable orders & levels of membership Many successful subscription-based stores allow shoppers to customise their monthly orders. While this is an effective draw for consumers, it causes all kinds of headaches for the teams that manage the orders. The ability for customers to customise monthly orders adds layers of complexity for teams who manage product inventory, fulfillment and logistics in the back end. Perhaps the best example is from the hugely popular Dollar Shave Club. Known for their humor-driven marketing approach, the brand constantly encourages its subscribers add more and more products to their monthly shipments, which go out at different times each month. Due to the brand's meteoric growth over the past five years, this creates headaches — imagine fulfilling dynamic orders each month (different cart sizes, products and membership levels) for hundreds of thousands of customers across America. The 'curated box package' is another common subscription model. StitchFix, a curated clothing company for men and women, surprises its customers each month with a package containing 'personalised' new outfits. While the surprise factor might not be a draw for some, the brand's main appeal is the diversity of its products. Every month, StitchFix's variety is what appeals to its majority millennial market. Whether your store offers dynamic monthly ordering (where customers can change the contents of their cart) or follows a more traditional subscription model, it's crucial to have data you can trust. This means finding an ecommerce solution built to handle both customer changes and increased payload as your store scales. [subscribe heading="Automatically track your subscription orders" background_color="green" button_text="find out how" background_link="https://www.littledata.io/connections/recharge"] Affiliate marketing & partnerships It's common for subscription-based stores to partner with affiliate marketers to generate an additional source of revenue and tap into new customer groups. However, with more customers comes more demand, and the importance of accurate data only increases — this includes tracking sales made through affiliate partners, commission owed on each sale, etc. 2) Customer loyalty & reward programs When done right, effective customer loyalty programs create more loyal customers, boost customer retention and increase sales. These programs aren't used by every subscription-based brand, but for the brands that use them, they really do work, according to LoyaltyLion. However, as high shopper expectations continue to soar, the landscape for rewards programs is getting more competitive. Shoppers know that if they don't absolutely love one aspect of a brand's rewards program, they can easily run to a competitor that offers what they're looking for — whether it be a cheaper price tag, better discounts or more rewards available. Mark Hook, Head of PR and Communications for retail management software Brightpearl, had this to say: Over two-fifths of millennial shoppers (45%) admit to being less loyal to brands when compared to a year ago, and are quicker to abandon buying from companies that don’t meet expectations A great example of a rewards program within a subscription is Nike+. By putting the mobile shopping experience at the top of its priority list, Nike has developed multiple apps that work hand-in-hand with the Nike+ loyalty program by allowing its members to 'take the brand wherever you go.' By offering easy member access to the program, Nike gets higher engagement from community members and increased brand loyalty from repeat buyers. However, for merchants, a successful customer loyalty program hinges on back end analytics and whether or not it's set up properly. For merchants relying on Google Analytics for tracking, do you have custom dimensions set up? Are there parameters to track recurring orders, free trial offers, promo codes or even brand events? 3) Payment security & order changes Ecommerce businesses not operating on a subscription model typically receive credit card information every time a transaction is made. On the other hand, subscription-based businesses store data for recurring purchases, which simplifies the user experience and helps encourage users to continue paying each month. With potentially millions of credit card numbers stored in a database, brands are constantly at risk for large-scale fraud. This forces brands to invest in airtight security measures to protect your own revenue and the sensitive data of your customers. Merchants need to stay prepared for orders with expired credit card info, subscription cancellations and changes to recurring orders — all of which make it tougher to accurately track individual events and transactions. Running a subscription-based store with data you can trust Even with these hurdles, there's a shiny silver lining for merchants who rely on subscriptions. Littledata's plug-and-play ReCharge integration connects with Shopify and Google Analytics to do the following: Automatically track first-time payments and recurring transactions Provide accurate marketing attribution for subscription revenue Segment performance by payment source, subscription plan type and product category Benchmark your site and offer access to professional-level subscription analytics tools With Littledata's Shopify ReCharge integration, there's a better way forward for merchants who manage subscription orders. BullyMax, a popular nutrition and muscle-building supplement for dogs, and Dry Farm Wines, a health-focused natural wine club, are two top subscription brands that have seen great success with Littledata's Shopify ReCharge connection. Read more about our topintegration for subscription analytics. In a follow-up post, we discuss a fool-proof solution for Shopify merchants who manage subscription orders. Check it out!
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!
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.
What's the real ROI on your Facebook Ads?
For the past decade Facebook’s revenue growth has been relentless, driven by a switch from TV advertising and online banners to a platform seen as more targetable and measurable. When it comes to Facebook Ads, marketers are drawn to messaging about a strong return on investment. But are you measuring that return correctly? Facebook has spent heavily on its own analytics over the last three years, with the aim of making you -- the marketer -- fully immersed in the Facebook platform…and perhaps also to gloss over one important fact about Facebook’s reporting on its own Ads: most companies spend money with Facebook 'acquiring' users who would have bought from them anyway. Could that be you? Here are a few ways to think about tracking Facebook Ads beyond simple clicks and impressions as reported by FB themselves. The scenario Imagine a shopper named Fiona, a customer for your online fashion retail store. Fiona has browsed through the newsfeed on her Facebook mobile app, and clicks on your ad. Let’s also imagine that your site -- like most -- spends only a portion of their budget with Facebook, and is using a mix of email, paid search, affiliates and social to promote the brand. The likelihood that Fiona has interacted with more than one campaign before she buys is high. Now Fiona buys a $100 shirt from your store, and in Facebook (assuming you have ecommerce tracking with Pixel set up) the sale is linked to the original ad spend. Facebook's view of ROI The return on investment in the above scenario, as calculated by Facebook, is deceptively simple: Right, brilliant! So clear and simple. Actually, not that brilliant. You see Fiona had previously clicked on a Google Shopping ad (which is itself powered by two platforms, Google AdWords and the Google Merchant Center) -- how she found your brand -- and after Facebook, she was influenced by a friend who mentioned the product on Twitter, then finally converted by an abandoned cart email. So in reality Fiona’s full list of interactions with your ecommerce site looks like this: Google Shopping ad > browsed products Facebook Ad > viewed product Twitter post > viewed same product Link in abandoned cart email > purchase So from a multi-channel perspective, how should we attribute the benefit from the Facebook Ad? How do we track the full customer journey and attribute it to sales in your store? With enough data you might look at the probability that a similar customer would have purchased without seeing that Facebook Ad in the mix. In fact, that’s what the data-driven model in Google Marketing Platform 360 does. But without that level of data crunching we can still agree that Facebook shouldn’t be credited with 100% of the sale. It wasn’t the way the customer found your brand, or the campaign which finally convinced them to buy. Under the most generous attribution model we would attribute a quarter of the sale. So now the calculation looks like this: It cost us $2 of ad spend to bring $1 of revenue -- we should kill the campaign. But there's a catch Hang on, says Facebook. You forgot about Mark. Mark also bought the same shirt at your store, and he viewed the same ad on his phone before going on to buy it on his work computer. You marked the source of that purchase as Direct -- but it was due to the same Facebook campaign. Well yes, Facebook does have an advantage there in using its wide net of signed-in customers to link ad engagement across multiple devices for the same user. But take a step back. Mark, like Fiona, might have interacted with other marketing channels on his phone. If we can’t track cross-device for these other channels (and with Google Marketing Platform we cannot), then we should not give Facebook an unfair advantage in the attribution. So, back to multi-channel attribution from a single device. This is the best you have to work with right now, so how do you get a simple view of the Return on Advertising Spend, the real ROI on your ads? Our solution At Littledata we believe that Google Analytics is the best multi-channel attribution tool out there. All it misses is an integration with Facebook Ads to pull the ad spend by campaign, and some help to set up the campaign tagging (UTM parameters) to see which campaign in Facebook brought the user to your site. And we believe in smart automation. Littledata's Facebook Ads connection audits your Facebook campaign tagging and pulls ad cost daily into Google Analytics. This automated Facebook-Ads-to-Google-Analytics integration is a seamless way to pull Facebook Ads data into your overall ecommerce tracking -- something that would otherwise be a headache for marketers and developers. The integration checks Facebook Ads for accurate tagging and automatically pulls ad cost data into GA. The new integration is included with all paid plans. You can activate the connection from the Connections tab in your Littledata dashboard. It's that easy! (Not a subscriber yet? Sign up for a free trial on any plan today.) We believe in a world of equal marketing attribution. Facebook may be big, but they’re not the only platform in town, and any traffic they're sending your way should be analysed in context. Connecting your Facebook Ads account takes just a few minutes, and once the data has collected you’ll be able to activate reports to show the same kind of ROI calculation we did above. Will you join us on the journey to better data?
New help center articles on Shopify tracking and ReCharge integration
We recently launched the Littledata Help Center to make it easier for customers to find the most relevant answers to their analytics questions. You can think of it as the more formal, technically-minded cousin of our popular analytics blog (which you're reading right now). With detailed new articles on Shopify tracking and how our ReCharge integration works, the Littledata Help Center is a go-to resource for current customers and ecommerce managers looking for a clearer view of how to use Google Analytics effectively. About our Help Center Like many startups, we began by using our blog as the main support resource, with articles on everything from Google Analytics to GDPR. Yet as we've grown, so have the number of setup guides and technical details we feel we should provide for a seamless user experience. In short, our support articles have outgrown the blog! Not to worry, blog fans. The blog will continue to be a resource for anyone interested in ecommerce analytics. We've been honoured at all the industry attention our blog has received, and we look forward to growing both resources side-by-side in the coming years. Shopify tracking Until you know what to look for, choosing the right Shopify reporting app can seem like a daunting process. There are a number of apps that are good at tracking just one thing, or helping you visualise some of the tracking you already have set up. Littledata's Shopify app is different. It's become especially popular with Shopify Plus stores and medium-sized Shopify sites on the enterprise growth path because it fixes your tracking and provides a full optimisation suite, including automated reports, benchmarks and buyer personas, to help optimise for dramatically higher revenue and conversions. New support articles help break down how this all-in-one solution works, including what you can track with our Shopify reporting app and setup guides for basic and custom installations. [subscribe] ReCharge integration Advanced Google Analytics integration for stores using ReCharge is one of our most popular integrations. It's a streamlined way to get accurate subscription analytics, including marketing attribution and LTV reporting. New support articles break down how ReCharge integration works with Littledata. You'll find guides on everything from how to check if the integration is working, to FAQs and more technical articles about tracking first-time versus recurring payments with GA views. We hope you take full advantage of Littledata's Help Center. Of course, you can always reach out to our support team directly from the Intercom popups on our blog, public site and app. We're available Monday to Friday in time zones around the world. Don't hesitate to get in touch, and remember -- your success is our success!
CartHook integration for tracking one-page checkouts and upsells
We're excited to announce that Littledata now fully integrates with CartHook. The integration provides automatic tracking for sales from CartHook's one-page checkout and connects that data to marketing channels and shopper behaviour. Littledata -- CartHook integration is the easiest way to get accurate data and smart reporting to improve sales and marketing ROI. All you need is a Shopify store with CartHook Checkout installed (even for just one product) and a Google Analytics account! What is CartHook? CartHook makes it easy for Shopify stores to add customisable one-page checkouts and post purchase one-click upsells. Their intuitive funnel builder lets any store customise the checkout process to increase conversions and decrease abandonment. Features include: Customisable one-page checkout One-click post-purchase upsells, including for subscription products (works great with our ReCharge integration) Product Funnels allow you to send traffic to a pre-loaded checkout page from any landing page Native Shopify integration means no custom coding required! How it works Integrating CartHook with Littledata ensures that all sales activity is tracking correctly in Google Analytics. Littledata weaves together your Shopify and CartHook data and connects it with your marketing channels and campaigns. Why spend developer time on custom scripts and events when you can just activate the integration in a couple of minutes? Benefits of CartHook integration: Sales tracking - Get automatic tracking for sales from CartHook, seamlessly synced with sales made via standard Shopify checkout Marketing attribution - Connect marketing channels and campaigns with shopping cart activity and buyer behaviour Optimisation - Scale the smart way with Littledata's industry-leading optimisation tools, including a personalised dashboard, report packs, benchmarks and buyer personas It's all about accurate data. Littledata's script runs in the background, pulling from CartHook, Shopify, and any other source you've connected to your analytics. If you're an advanced Google Analytics user, you can dig into the improved data collection directly in GA. Read more about why CartHook customers should use Littledata. [subscribe] Setup guide For the Littledata -- CartHook integration to work, you need to have both apps installed for your Shopify store, then connect them by activating the integration. Install CartHook and Littledata Follow these steps to activate the integration Yes, it's that easy! Shopify Plus If you run a larger Shopify store on Shopify Plus, we're here to help you scale. Both Littledata and CartHook offer enterprise plans that include custom setup and a dedicated account manager. Larger stores looking for an enterprise plan or managed services are encouraged to sign up directly and then contact us for a free consultation. If you're a digital agency with multiple customers on Shopify using CartHook, even better! Check out our agency partner program for Shopify experts.
New webinar: Google Analytics for Shopify stores
Have you ever been browsing the Shopify app store and wished that you could hear directly from founders and app developers about how their products work? Our new free webinar lets you do exactly that! We're dedicated to providing free learning tools for Shopify stores. In the webinar recording below, you'll hear directly from our CEO and Product Director about how the Littledata reporting app works for Shopify sites on the growth path. Interested in automating your Google Analytics reporting? Great. Confused about how to connect your marketing campaigns to checkout steps and buying behaviour? No problem - we've got you covered. Problems are our business :) Google Analytics made easy for Shopify stores Join Edward Upton to get the lowdown on optimising Google Analytics for Shopify. Put on your thinking caps and get ready for Shopify Reporting 101. In the recorded webinar, Ed gives a product overview and covers a range of FAQs: Common issues with Shopify's native reporting How to get accurate data across the customer life cycle with Google Analytics Who uses Littledata How our automated reporting works The connection between marketing and revenue Our live webinars are designed for ecommerce sites, marketing agencies and everyone in between. We adapt the content based on questions from participants, so please don't hesitate to reach out with questions and suggestions. [subscribe] Ready for smarter growth? Sign up for a free trial of our Shopify reporting app today! The trials extend to all plans, so you can fix your analytics and fully test our feature set. PS. If you're looking for info on our Shopify app integration partners, check out these posts on ReCharge and Refersion.
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