Tactics every brand needs in 2023 to combat market volatility [Webinar]

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. Join us for a live webinar on Thursday, January 26 at 3 PM EST as we dive into the tactics you need to combat market volatility in 2023: Register now. [tip] ICYMI, watch the webinar on-demand here [/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!)

2023-01-19

Catch Littledata customer Veronica Beard at the Twilio Segment conference today

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.

by Ari
2022-11-02

How Velir and Littledata helped johnnie-O build a delightful customer experience

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.

by Greg
2022-04-26

Track Ordergroove subscriptions in Google Analytics [ebook]

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>>>

2021-11-11

Segment Q2 Updates

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.

2021-07-23

Focusing on data-driven growth? There's a plan for that

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.

by Ari
2021-07-09

How Littledata handles User ID for Shopify and Segment

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.

by Ari
2021-06-10

The Ultimate Guide to connecting Segment to Redshift (and other powerful analytics tools)

Cloud data warehouses offer a way for ecommerce companies to scale as the size of their data increases, promoting unlimited storage space, cost optimization and analytics horsepower. But where do you start? Are there no-code solutions that are also best-in-class? Segment is an increasingly popular way to connect website data to a data warehouse such as AWS Redshift. In this guide we'll take a close look at exactly how this works, and the pros and cons for your longterm company data needs. Using Segment to connect Shopify to AWS Redshift What is Segment? Segment is a powerful Customer Data Platform (CDP) solution, but it's also much more than that. Segment provides businesses the ability to organize customer activity events from various platforms to a broad range of destinations, One of those destinations can be a data warehouse - an ecosystem that serves as the centralized source of data collection. This includes the big three: BigQuery, Redshift, and Snowflake. The technology focuses on the tasks of collection, storage, and management of business data - with the purpose of turning operational data into meaningful information. For any company looking to harness the value of the activities gathered inside their CDP, it’s a no-brainer that bringing a data warehouse into the mix is the next best step. Amazon Web Services (AWS) and its data warehouse offering, Redshift, remains the market leader in this space because of its compatibility with data integration pipelines and analytics tools. One of your Segment destinations can be a data warehouse such as AWS Redshift For ecommerce sites this can be difficult to implement manually (not to mention maintenance time, costs and complexity!), but Littledata's Shopify source for Segment does this automatically. With Littledata’s capabilities, you have the ability to direct, track, and identify custom events across all critical customer activities, including across your Shopify website, whether that's a simple Shopify instance, a headless Shopify setup or multiple country stores doing international sales. Coupling that with Segment’s unified CDP takes powerful data to activation, and the ability to direct platform data to marketing channels for increased engagement, conversion and retention. Whether you want to use a data warehouse for deep analysis, audience building or real-time recommendations, Littledata + Segment + Redshift is a proven solution for Shopify stores. Setting up your Redshift data warehouse Segment's documentation portal gives a step-by-step breakdown of provisioning a Redshift cluster, configuring a database user, securing data ingestion, and providing a path to data collection into your Redshift instance. Breaking the process down in digestible chunks, here are the necessary steps to go from data to data warehouse: Choose the best instance for your needs: Dense vs. Compute StorageProvision a new Redshift Cluster: 5 simple steps from start to finishCreate a database user: Creating a user to manage your instanceConnect Redshift to Segment: Select sources, credentials, and go Redshift allows users to start small and scale up on-demand as needs grow Collecting events in Segment Event tracking is a critical part of the data collection process. Creating a plan tracking plan associated with measurable business outcomes, such as acquiring new customers, increasing retention and activating new leads, and mapping those outcomes to business goals, is an important step in the data journey. Understanding this relationship will provide guidance to the relevant events or actions that must be configured to successfully track. With Littledata's automated solution, you can avoid the blocking-and-tackling of configuring the best-in-class event strategies surrounding (client side) device-mode and (server side) cloud-mode events:  Device-Mode events include Cart Viewed, Page Viewed, Product Clicked, Product Image Clicked, Product List Viewed, Product Shared, Product Viewed, Products Searched, Registration Viewed, Thank you Page Viewed Cloud-Mode events include Checkout Started, Checkout Step Completed, Coupon Applied, Customer Created, Customer Enabled, Fulfillment Created, Fulfillment Updated, Ordered Cancelled, Order Completed, Order Refunded, POS Order Placed, Payment Failure, Payment Info Entered, Product Added, Product Removed To streamline the process for ecommerce sites, Littledata's tracking script automatically sends events to Segment through its analytics.js library, making it easy to collect all the critical event activities associated with a customer’s store journey - from browsing behavior through the checkout funnel and repeat purchases (including recurring billing for stores selling by subscription). Additionally, from every event where this is an identifiable customer (from both device-mode and cloud-mode), Littledata will send an Identify call - the identification of a customer when the customer logs into your storefront, a last step of the checkout process, with the order, and also after a purchase with a customer update. With Littledata’s streamlined modeling, data can be accurately represented and pushed to downstream destinations, such as marketing activation channels and data warehouses.  [subscribe heading="Littledata connects Shopify to Segment and your data warehouse" button_text="Book a demo" button_link="https://www.littledata.io/app/enterprise"] Connecting Segment data to your data warehouse Now that your Redshift instance is up and running, the next step is to connect to Segment and start collecting data into your data warehouse. There are two ways to complete this step - one, through Segment’s native migration, and the other, utilizing no-code data pipeline tools (recommended). Whichever process you choose, you will have the opportunity to push data out of Segment into your data warehouse environment and start utilizing it across your business. Option 1: Segment’s native migration  As mentioned, Redshift data warehouse is one of the many destinations that Segment can send data to. You can directly connect to Redshift from within Segment to stream event data.  Segment’s catalog provides direct integration to best-in-class data warehouses Essentially, it’s as simple as: Login to your Segment App and proceed to the Catalog sectionIn the top menu, choose DestinationsSelect Redshift in the Storage Destinations list After configuring your user permissions and selecting the data sources you would like to sync, you’ll enter in your credentials and connect to your data warehouse. Voila! Data will now be continuously replicated into your Redshift instance based on your plan: Free: Data refreshed (synced) 1x per dayTeam: Data refreshed (synced) 2x per dayBusiness: Data refreshed (synced) as fast as hourly As for historical data, all plans will allow loading up to 2 months of your historical data, with the Business plan allowing for full historical backfills. Since Segment provides an environment to support many, it requires a premium plan to collect complete history and sync data real-time. Segment’s infrastructure is suitable for instantaneous data collection to downstream points Option 2: Leverage data pipeline services The second way to get data out of Segment into your data warehouse is through data pipeline platforms. Data pipeline or ETL (Extract, Transform, Load) platforms, provide prebuilt integrations to over 100+ enterprise software sources, and focus on a maintenance-free structure where replica data is automatically transformed, standardized, and normalized on collection. The automated adjustment to schema and API changes, allows business users to streamline developer tasks in a no-coding required environment. Companies like Stitchdata ("Stitch") and Fivetran, leaders in the space, provide frictionless, subscription-based memberships that allow integrating data to data warehouse destinations convenient for any business size. ETL platforms streamline data from end-to-end and require limited technical lift To set up, simply sign into your console, click on the Segment icon in the available integrations, and enable. You will automatically be pushed into the Segment tool to confirm authorization and (another voila!) data will begin replicating.  Stitchdata’s user-friendly interface for connecting platforms to destinations The benefits of cloud-ETL platforms, not only include their out-of-box integrations, but the list of features included to help visualize, maintain, and support ongoing data integration tasks: Over 100+ database and SaaS platform integrationsIn-app support including email alert monitoring and support SLAs14-day free trial to kick-off and vet the platform prior to fully onboardingSOC2 security compliant, encrypted communication and an AWS cloud backed environment Ecommerce data With the appropriate event tracking configured at data collection by Littledata, your data can be properly analyzed for ecommerce store performance. The downstream output can be properly displayed by: Customer behavior before, during and after purchaseOrder performance relative to average order value, add-to-carts, average order size, and cart abandonmentShopper engagement including product views and purchasesCoupon and discounting activitiesCustomer checkout funnel and stage of drop-offConversion rate and lifetime value With the emphasis on accuracy completed at the inception data collection stage, the ability to produce the above areas of performance becomes that much more straightforward. This means spending more time analyzing and visualizing data, then transforming and modeling data for analytical use.  Empowering your data Once your data is available in your data warehouse, replicating frequently, and building history, it’s time to utilize it. That can come in a number of various opportunities, depending on your business needs. Most notably, companies will focus on transforming data into actionable blocks and pushing into business intelligence (BI) tools.  Transformation To properly stitch event data together - say in the case to tie all interactions by a site visitor to achieve multi-channel attribution - companies can leverage existing packages that transform, marry and enrich data points. These packages - or prebuilt libraries - produce powerful results that end up restructuring data from their raw state to analysis-ready. Fishtown Analytics’ product dbt does just that, performing user-stitching, simplifying data structures, and speeding up data modeling to use instantly within reporting, analytics, or machine learning applications.  Leveraging transformation can streamline data modeling and enrich data for analytical-use BI Tools Companies usually begin the conversation here, “I’d like to see a dashboard like X” or “Can we get a report showing Y?”. In fact, what they are looking for is a way to properly view data in digestible, actionable views. BI (Business Intelligence) tools do just that - whether it’s through data visualizations (dashboards), self-service analytics, or prebuilt reporting. Enterprise BI and SaaS tools like Looker and Tableau (like outlined in the table below) create the speedy path to data viewing. They can be simply connected to a data warehouse and publish dynamic views for instant performance tracking. Data can be presented in dashboards across many dynamic charts, tables, and graphs BI Tools Breakdown CategoryVendorsBreakdownMarket LeadersTableau, Looker, PowerBI, Mode, DatabricksEnterprise tier platforms with extended featuresRisersDomo, Klipfolio, Kissmetrics, SigmaSaaS-oriented products with cost on user and dashboard usePrebuiltGlew, Daasity, Dashthis, Rubix3Ecommerce focused with prebuilt visualsOpenDataStudio, MetabaseOpen-source/no-cost platforms So a straightforward reporting and visualization solution with the setup we've described in this article, would be to connect Shopify to Segment, then Segment to Redshift, then Redshift to Tableau. Learn more about how to connect BI tools to your Shopify data in Segment, whether as a Segment destination using alias calls or a dynamic view pulling from data in your warehouse. Another option is connecting reporting tools directly to Google Analytics data in parallel with your Redshift setup (for example, use Tableau on top of GA for marketing analysis and Looker on top of Redshift for deeper analysis and predictive analytics). Building for the future Companies that put an emphasis on building the foundational components of data ingestion, management and analytics early on see many benefits. Primarily, you are able to increase your ability to measure and understand your business properly. Data warehouses provide an opportunity to collect all of your store, site, customer, marketing, other relational data - all in one place. This creates a centralized view of your business and gives an upper hand to companies looking to take a data-driven approach to growth. Cloud tools and no-code options remove the need for technical resources, freeing up dollars that can go elsewhere without sacrificing the ability to use and analyze data. No matter the size of your business, taking data seriously is the first step to empowering your business for the future. Data warehouses are no longer the property of only mega enterprises. Want to build a modern ecommerce data stack but not sure where to start? Get in touch for a free consultation. [subscribe heading="Littledata connects Shopify to Segment and your data warehouse" button_text="Book a demo" button_link="https://www.littledata.io/app/enterprise"]

2021-06-02

Try the top-rated Google Analytics app for Shopify stores

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