If win-back campaigns aren’t a part of your retention strategy, you’re leaving money on the table. But how do you build the targeting for those campaigns? As acquisition costs continue to soar, brands are honing in on retention more than ever before. There’s no better way to keep customers engaged and coming back for more than with a win-back campaign that’s backed by data. In our new Segment recipe on win-back campaigns, we teach you how to: Send Shopify events to Klaviyo with Littledata’s Shopify source for Segment Identify a group of inactive customers to reactivate Build and schedule automated campaigns in Klaviyo to run systematically and optimize for efficiency Zeroing in on retention can have a massive uplift to your bottom line. On average, it’s five times more expensive to acquire a new customer than it is to retain an existing one, and improving your customer retention by as little as 5% can boost your revenue up to 25%.  At Littledata, we have been honored to see the number of high-value use cases that have come out of our Shopify source for Twilio Segment. Using our Shopify source with a trusted CRM destination like Klaviyo, brands are able to push accurate sales, marketing, and customer data to Klaviyo, build data-driven email and SMS win-back campaigns, and retarget their churned customers with hyper-targeted messaging in the perfect timing.  The key to building an effective win-back campaign lies in complete customer data. To have a real impact, your definition of customer data must include core data points like purchase history, average order value, and products a customer has been interested in but not bought yet. With these insights, you can reach the right audience at the right time and serve them the right piece of content to reactivate them. With brands like Rothy’s, Lick, and Sheertex using Littledata’s Shopify source for Segment, we’ve seen first-hand how top DTC brands on Shopify Plus use the data we track to target customers more effectively, reducing CAC while improving LTV. Our latest Segment recipe leverages Twilio Engage to help you build an audience of inactive customers and re-engage them in Klaviyo.To go a step further, we’ve added insights into how you can create a computed trait to continually refine your audience – in this case, based on average order value (AOV). Want to send Shopify data to Segment? Littledata's Shopify source for Segment enables you to automatically send ecommerce events to any of Segment’s hundreds of destinations. Capture data at every touchpoint and attribute results from your marketing campaigns with 100% accuracy thanks to our server-side tracking. Did we mention that we also handle identity resolution? Get started for free with a 30-day trial or book a demo today!

The ecommerce industry is ever-changing and in today’s increasingly unpredictable market, it’s more important now than ever before for brands to be on top of the latest trends. In 2022, rising inflation, privacy regulations, and continuous supply chain issues changed the ways many direct-to-consumer (DTC) brands do business. What trends does 2023 have in store, and how can you best prepare your brand to overcome these challenges? Littledata is joining forces with the ecommerce experts at Ordergroove, ShipBob, Checkout.com, and Avex to arm you with the insider knowledge every brand needs to supercharge their ecommerce strategy and make for a fruitful 2023. If you missed the live webinar on Thursday, January 26 at 3 PM EST you can now watch on demand above or on our Youtube Channel. [tip] Learn more about tracking subscriptions with our handy ebook: The DTC Guide to Subscription Analytics[/tip] In this webinar, you’ll learn: Ways top brands are leveraging technology to keep up with consumer demands Little-known ecommerce insights that will impact your brand in a big way  Actionable hacks to supercharge your 2023 strategy Claim your spot >>> About Littledata In today’s uncertain market, brands need to take a data-driven approach to their marketing.  Littledata’s combined client-side and server-side tracking captures data at every touchpoint, from discovery with accurate marketing attribution insights to post-purchase events like subscriptions and upsells, to empower Shopify and BigCommerce with a holistic view of the customer journey. Littledata's Ordergroove integration is just the beginning — it's what you do with the data that counts. Our plug-and-play connections send 100% accurate data to the top reporting tools, including Google Analytics (Universal Analytics and GA4) and Segment.  Check out our Shopify app for Google Analytics and GA4 Check out our BigCommerce app for Google Analytics and GA4 Get our free Ordergroove ebook to learn how to track recurring orders in Google Analytics, Segment, or the reporting tool of your choice See how to automatically improve Facebook Ads performance with the Conversions API (especially powerful for brands selling by subscription!)

Will you join us today at Twilio SIGNAL? Powered by Shopify, Littledata and Twilio Segment, Veronica Beard used 1st-party data to elevate paid social, turning it from a place where they sold markdowns to the channel with the best lifetime value customers (online shoppers with the highest LTV). Find out how >>> Since debuting at New York Fashion Week in 2012 Veronica Beard has continued to expand both offline and online. How did they do it? Not only with good design and solid materials, but with a data-driven approach to growth. Veronica Beard's Head of Data, Maxime Lagresle, is speaking at SIGNAL today to share insights into using first-party data to grow an industry-leading fashion brand. Maxime’s chat is on “How Veronica Beard moved to first-party data, reduced CAC by 20%, and stopped worrying about cookies”. You can register for free here and not to worry about timing -- all sessions are available on demand videos to accomadate different time zones! Powered by Shopify, Littledata and Twilio Segment, Veronica Beard used 1st-party data to reduce CAC by 20% while increasing customer LTV Interested in learning more about how Shopify Plus brands like Veronica Beard use Littledata and Segment together? Dive into a recent case study we did with our friends at johnnie-O who built a personalized user experience with Shopify, Littledata, and Segment. As their agency puts it: "Littledata’s Segment connector saved the day by streamlining the integration and allowing us to bypass what would have been months of planning and development work implementing an ecommerce tracking plan from scratch." Learn more about connecting Shopify and Segment Check out our latest white paper on first-party data Learn more about Littledata Plus Looking for more detailed interview about how to use Shopify and Segment to accelerate growth? Check out our interview with Rothy's about data-driven growth.

Creating a truly special customer experience—in today’s market—comes down to knowing your customers well. You can collect data to learn about your buyers in a number of ways. But without the tools to analyze these insights and act upon them, you won’t get much farther than where you started. A customer data platform (CDP) like Segment is a good place to start, but without using an ecommerce data platform on top of your CDP, you will inevitably hit a wall. Ideally, the pieces in your stack will each serve a clear purpose and play nicely together as well. This is where many stores -- maybe even your own -- run into unexpected limitations. You could have your ecommerce platform, email/SMS tools, analytics tracking, and A/B testing platforms all up and running. Getting them all integrated and talking to each other, though, is another beast entirely. Popular apparel brand johnnie-O found themselves in this exact spot. As our agency partner Velir explained in their case study on the brand, using Littledata's Shopify source for Segment, they aligned their tools and leveraged their improved stack to develop a truly special experience for their customers. Leveraging Littledata’s Shopify source for Segment Velir explains in the case study that johnnie-O knew they needed to address their customer data challenges, but weren’t sure how. After uncovering all of johnnie-O’s relevant data sources, data destinations, and use cases, Velir put together a custom data stack for the brand using complementary tools. The lineup of tools included Klaviyo and Fivetran, among others. But a key piece was Segment, which allowed real-time website interaction data to appear in Snowflake, their data warehouse. To get that tracking up and running, Velir turned to Littledata’s Shopify to Segment connection. “Segment's native connector to Snowflake meant that real-time website interactions could appear in the data warehouse within seconds.This real-time integration leveraged Littledata's Shopify-Segment connector which saved johnnie-O the effort of coding the Shopify event tracking."- Velir on Littledata’s Shopify to Segment connection In addition to powering their interaction data reporting, Velir says “Segment’s catalog of over 300 out-of-box connectors was useful in integrating tools like Google Ads and Klaviyo.” How the Shopify to Segment connector can fit in your tech stack As Velir shows in their setup for johnnie-O, adding Segment gives your store a powerful tool to capture accurate data at every touch point while connecting other key integrations of your tech stack. But that's not where the benefits of Segment end. Create Facebook lookalike audiences of your top-spending customers The world of ad tracking may be rapidly changing. But even in the new first-party data world, social ads are a major promotional tool for successful businesses. In one of Segment's most popular recipes, they detail how you can find more customers just like your highest lifetime value buyers, then retarget them through social ads. Using rules-based audiences, you can increase revenue by pinpointing new customers who profile just like your best existing ones. Read the full recipe to learn how to: Create an audience in Segment Personas of your highest spending customersAutomatically sync that audience with Facebook AdsCreate a lookalike audience in Facebook Ads to find more high-value customers Want a hand in trying the Shopify to Segment connector for your store? Have an analytics expert walk you through how to set it up and the benefits you’ll see as soon as it’s live on your store. Try Littledata free for 30 days, including our Shopify-Segment connector and see the benefits it can bring to your store.

Ordergroove is a popular tool for ecommerce stores, especially those interested in scaling their subscription services faster and smarter. But fast-paced growth is nearly impossible when you're making strategic decisions based on bad data.  Ordergroove sets itself apart from other subscription solutions by focusing on growing your subscription service, which has made them a favorite among larger direct-to-consumer (DTC) brands, like Yankee Candle and Love Wellness.  Despite Ordergroove’s tools designed to boost your store’s average order value (AOV) and customer retention, Shopify’s native Google Analytics (GA) integration stands in the way of many merchants' goals to achieve data-driven growth. While Shopify Analytics satisfies the need for basic analytics metrics, Shopify’s faulty integration with GA prevents merchants from diving into a deeper analysis of their data.  On top of that, for every 100 orders in Shopify, 12 go missing in GA. This has major implications for DTC brands, who find themselves making decisions based on incomplete and incorrect data. Unfortunately, the results are even worse for stores selling by subscription, who face aggregated orders in addition to even larger data discrepancies.  Subscription analytics can be intimidating, which is why we wrote the complete guide to tracking Ordergroove subscriptions in Google Analytics.  Free ebook on tracking Ordergroove subscriptions in Google Analytics Fine-tune your tracking setup so subscription analytics pose no threat. In this ebook, we dive into our Ordergroove + Google Analytics connection and how it can help your store achieve data-driven growth in no time.  The Ordergroove Smart Connection Guide covers how to:  Track one-off, first-time and recurring ordersCalculate customer lifetime value (LTV) with our custom dimensionsTie subscription orders back to the original sourceGet complete marketing attribution insightsMake data-driven decisions for your store Download the free ebook>>>

Shopify to Segment is one of our most popular connections, so we're always making improvements that give users the capabilities they need to optimize revenue. This update adds key tracking tools that give stores greater insight into customer checkout behavior, Facebook marketing attribution, recurring billing, and more. Supporting subscriptions in the checkout Littledata’s Shopify source is now fully compatible with most common subscription billing apps using Shopify’s checkout. Our app captures all recurring orders — linking them back to the user who first purchased if possible — and tags the events to differentiate between one-time purchases, first-time subscription orders and recurring orders. You can now use Littledata to send event data from subscription apps in the Shopify checkout, including: ReChargeBoldOrdergrooveSmartrr If you are using ReCharge you can take advantage of the subscription lifecycle event tracking as well. Learn more about the subscription lifecycle events we push to Segment for churn analysis, including Subscription Created, Subscription Updated, Subscription Cancelled and Payment Method Updated. Facebook Conversions API destination Segment’s cloud-mode Facebook destination is now out of beta, and becoming increasingly popular with marketers looking to more accurately target their Facebook Ads in the face of increasing browser limitations. Next month Littledata will be adding all the extra event parameters needed for Facebook CAPI, so please contact us if you’d like to join the private beta. Opting out of client-side events We understand some of our customers want to instrument their own event tracking (maybe using Littledata’s Google Tag Manager data layer), but retain the server-side events from Shopify. In this case, Littledata’s tracking script is still needed on the Shopify storefront to initialise Segment AnalyticsJS library and capture the anonymous ID for server-side events. But, you can add disableClientSideEvents: true or disablePageviews: true in a manual settings update. GDPR cookie compliance If your store is using a Shopify-compatible cookie banner (or using a consent management platform like OneTrust or TrustArc), the Littledata’s tracker can respect your users’ choices by switching just one setting. For OneTrust we also push the user consent choices as a user trait, so you can control which personas are shared with other platforms. Simpler accepts_marketing flag User traits for all events where the user is known now contain a simple true/false accepts_marketing field — useful in CRM destinations for email marketing. This is in addition to the marketing_opt_in_level field, which can give more detail on whether this was a single or double opt-in for marketing. How to get Littledata's Shopify source for Segment If you aren't yet a Littledata user, you can start a free trial directly from the Shopify app store. If you already have a Littledata account, you can activate the Shopify-to-Segment connection directly in the Littledata app. On Shopify Plus? Learn more about Littledata Plus.

We've spent a lot of time on the blog lately focusing on Littledata's Plus plans made for larger DTC brands, including headless setups. But what about those merchants who are not quite there yet, but poised for rapid growth? You guessed it, there's a plan for that. Littledata's new Grow plan is now available for Shopify stores sending data to Segment or Google Analytics. It comes with some solid perks, including priority support and the ability to track up to three country stores for one low price. How do you know if it's the right plan for your Shopify brand? As a modern data platform focused solely on ecommerce, Littledata tracks over 5 million orders per month for ecommerce brands around the world. So you might say we've seen it all. But there's no one-size-fits-all solution. There are a few different things to consider before choosing a modern data platform, and it's important to pick the right plan on that platform to make sure you have the support you need without any hidden fees or surcharges. Grow isn't designed for account management or analytics training. Those are only available on Littledata Plus. But it is designed to unlock the full potential of our data pipeline, at a lower cost. The ideal Grow plan user has a solid customer base, a proven product mix, and is ready for the next phase of growth. You are probably a good fit for Grow if: You have identified accurate data as a KPI or OKR (ie. have a company initiative to take data seriously, whether that came from identifying a Shopify/GA mismatch or a more general drive to make data-driven decisions this year)You have an in-house analyst or ecommerce manager who can make use of the data we sendYou are doing 7-10k orders per month (the Grow plan currently supports anywhere from 6-12k monthly orders, and in our experience 10k is the "sweet spot", an inflection point for DTC success)Are prepared (or preparing...) for rapid growth! Maybe you're planning a global expansion or getting ready to launch a long-awaited subscription product. Maybe you're just doubling down on marketing spend, but aren't yet sure how to track and understand your customer lifetime value. Grow plans are here to help you get accurate data so you can make better decisions, eliminate wasted spend, and double down on the ecommerce marketing that's working best. (How do you know what's working best? That's why we built Littledata). Learn more about Littledata pricing and find the plan that's right for you.

Is Segment a good customer data platform (CDP) for ecommerce? We hear that question a lot at Littledata, and are always happy to chat about the modern data stack. But the reality is that you should be asking more detailed questions: will your CDP be able to handle both anonymous browsers ("visitors") and customers ("users")?  Will it enable both analysis and marketing automation? Will you need an entirely different stack to support your data warehouse? Our DTC ecommerce customers have found Segment to be a powerful solution because it offers a unified approach to customer data. As long as it's set up correctly, that is. Four options for user identity There are many different approaches to user identity, but the most important thing is to be consistent. Make sure the identifier you choose works with your current data destinations and those you know you plan to implement in the future. In Segment, every identify call must have a User ID or an Anonymous ID. Littledata's Shopify source for Segment is an easy way to ensure accurate ecommerce data, rather than building and maintaining the schema yourself to match Segment's detailed ecommerce spec. Our scope includes sales, marketing, and customer data, captured from a combination of client-side and server-side tracking. We agree with Segment's best practices in identifying users, including the use of static IDs whenever possible. To support a broader range of use cases, our app lets you choose which of the following fields you want to send as the userId for known customers: Shopify customer ID (default) – Recommended if you have a simple Shopify setup with minimal integrations.Hashed email – The MD5 email hash is useful if you have other marketing platforms sending traffic where you know the email of the visitor (e.g. email marketing like Bronto or Marketo), but not their Shopify customer ID.Email – Recommended when other platforms use the email and can’t hash it, and you are comfortable with the privacy implications.None (no identifier) – Recommended only if user identity is already handled by your Segment implementation and you only need the extra events powered by Littledata’s Shopify source. Learn more about what you can track with our Segment connection. Since we started offering identifier options beyond Shopify customer ID earlier this quarter, it's been interesting to see the uptake. Perhaps most surprising is that it's not just larger stores on Littledata Plus who are using alternative unique IDs. There are already merchants on our Standard and Pro plans using the option as well. Note: For merchants using Segment Personas, Littledata also sends shopify_customer_id as an External ID for advanced matching What is your approach to user identity? Are you planning for the future? Let us know in the comments or on Twitter.