First-party data and server-side tracking is no longer an afterthought for DTC brands and ecommerce managers—rather, it is a centrepiece to their tech stack. But how do you make sure you aren’t “reinventing the wheel” when it comes to 1st party tracking? With the increasing number of “data platform” options it is often challenging to know what is truly needed for accurate attribution. With over 1500+ stores using Littledata’s Shopify and BigCommerce tracking app, we’ve learned a thing or two about the mistakes brands can often make. Allow us to help set the record straight and be a helping hand as you scale up your efforts in 2022.  1. Making data a lesser priority when launching We’ve talked to entrepreneurs across industries and one thing is certain—all are motivated to grow their business and many are managing multiple efforts across the business. One that often gets skipped in launching and updating a Shopify store is setting up data as an afterthought or using default or native tools that miss the mark.  Some of the common replies we receive from customers that find out they have a data problem is that they planned on getting to it later or we thought we were getting all the information with pixel tracking (client-side) and the classic it just wasn’t in the budget. The first two we understand, because until folks know this can be automated with a tool like Littledata, the time for learning APIs, implementation, and maintenance can be overwhelming. However, we’ve seen brands give Littledata a shot as a temporary solution and report hours of time saved in an increase in their retention efforts like skincare brand Geologie.  When it comes to budget we know the difference between those who do not prioritise data and those who truly can’t add this additional line item. That is why our Client Services team launched a new Littledata Startups program specifically for those just getting going. We have already offered a generous 30 day trial for merchants but realised some teams need a longer runway after seeing companies like Flux Footwear soar in the first year of getting started.  2. Thinking that fancy reporting will fix your data issues  There are a lot of nifty reporting and visualization tools out there. But none of them actually fix your tracking. When reviewing how the platforms work be sure to ask about how the data is tracked and reported. While many reporting of these tools offer merchants a great UI/UX experience or insights they can also miss on the most important step, tracking. We are excited to see Google Analytics 4 offer free reporting tools and improved user experience in explorations. This will allow merchants to get more granular insights in GA4 which many consider their single source of truth.  Littledata isn’t the new kid on the block. We got our start helping brands first hand get up and running with their data solutions. Then in 2017 we launched our app on Shopify that solved a big problem merchants were facing—accurate data and attribution. The issue we are hearing from partners and customers  is that newly launched data tools are not fixing the tracking and analytics but rather they are pulling the data (which is likely inaccurate) and reporting through visualisation tools. We know this because our customers who use these other tools do so after fixing the tracking and attribution issues they are facing with Littledata. Then they use these reporting tools and dashboards in order to analyse the data or generate reports from the insights and recommendations of these tools. Or focus on fixing the tracking and conversion data. Nearly 1 of 5 orders is missed using Shopify’s native tracking tool. Littledata’s engine stitches together client-side and server-side tracking, without server setup and fees needed by merchants, to report end-to-end tracking. This includes important events like add_to_cart, one_time vs. recurring subscriptions, refunds, purchases, and more. We also calculate from these events Lifetime Value (LTV) and Average Order Value (AOV) so that merchants can understand what is really happening in their business—right in Google Analytics.  If that wasn’t enough we also work out-of-the-box with many of the SMS, Subscriptions, and post-purchase upsell apps merchants are already using in their store or checkout. Making it easy to find out which channels or tools are working or not.  3. Short-term thinking about setup costs and maintenance  This one is self explanatory but often gets missed. Because of our deep integrations with Shopify and BigCommerce our team is always making updates, improving the product, and implementing best practices for the Littledata app. Supercharging your store and functionality without having to outsource which often leads to scope creep.   When you get started with Littledata you know exactly what you will be paying month to month with our tiers based on your order volume and not the revenue you bring in. Meaning you are paying for the data you are using and getting access to the same tools 100M GMV companies are using. This predictability makes it easy for merchants to budget for data tracking without having to account for surprises of outsourcing on your own.  The best part is that Littledata has partnerships with some of the top agencies in the ecosystem like Swanky, Underwater Pistol, and Ragnarok. Recently, Steven Aldrich the Co-CEO of Ragnarok said on this topic: Merchants not aligning their tracking plan to their actual use cases; building your tracking plan on common sense and legacy schemas with no application is a surefire way to get little to no value out of your tools  We don’t think there should be surprises when it comes to pricing. You can learn more on how we structure pricing here or by booking a chat with our Client Services team.  4. Missing the golden opportunity of creating audiences  Creating audiences has to be one of the top priorities of any marketing team for retargeting and creating lookalike audiences. We know when you can understand your audience demographics through reporting and build and target your audience by metrics like LTV and AOV it can do wonders for brands.  We’ve already seen Google Analytics 4 improve this by tightening up the relationship between Analytics and Ads. Now using event based tracking vs. session based tracking we will be able to understand customer behaviours even more and develop effective strategies to run ads and reduce wasted spend on the wrong audience.  One area we are excited to see expanding within our own customers tracking portfolio is the implementation of Meta Conversions API which enables browser and server side tracking of your events in Facebook Ad Manager. Here you review events and create new campaigns based on this advanced implementation of server-side. The best part is Littledata reports many of the most needed ecommerce events right out of the box that you would have to set up manually through other means of connection.  5. Regular data health checks When maintaining your data stack it is important to know your data is flowing properly from your store to Google Analytics or Segment from your decisions like Shopify or any third party apps you use like Recharge Payments. Manually checking and testing these connections outside of Littledata can be a hassle and time consuming.  With Littledata we show your live processed orders and connection details are active. This can help with any troubleshooting that might occur and as a normal check that the data is flowing properly. Merchants can often overlook this small detail but it can be a good habit to instill for any size organization. Any missed orders or transactions could amount to a lost opportunity for merchants or missed insights in your analysis.  Recently, we caught up with Littledata’s Head of Client Services, David Pascu, who shared how this plays out in action for brands:  Imagine it's the end of the quarter, and you're preparing to analyze a new product's purchase activity compared to a similar product launched in the previous quarter—only to find that the new theme you launched a couple of months ago broke the event tracking on the product detail pages, it went unnoticed, and you don't have the right data to work with. Frustrating, right? I stopped counting how many teams at top DTC brands have voiced their frustration about such situations. This is why tools like Littledata are valuable so that you have complete data without any unpleasant surprises. Let's be realistic, mistakes can happen within any business but it's our responsibility to limit those mistakes where possible. At Littledata we pride ourselves on building an app that can help your business thrive and grow through accurate data and analytics. Don’t make another mistake by missing out on 30 days with no strings attached to try our app with your store.  P.S. Worried your conversions are not tracking well in Google Analytics 4 (GA4)? Use our GA4 conversion checker to see in a few clicks if your property is set up properly. 

Have you mapped out a data plan for 2023 yet? If you’re selling on a major DTC platform like Shopify or BigCommerce, GA4 is probably on your mind. With the sunsetting of Universal Analytics (GA3 or the “old version” of Google Analytics) on the horizon, it’s time to get going with event-based tracking. Many brands have been procrastinating about setting up GA4 – or, worse, only setting it up halfway so that browsing behavior is tracked but revenue and conversions are missing. But can you blame them? Shopify isn’t planning to release native GA4 integration until March 2023 at the earliest (and nobody’s expecting it to work well for serious DTC brands) BigCommerce released a beta version of their GA4 integration in November, but it’s extremely minimal, tracking only begin_checkout and purchase events Manual setup is costly and confusing (and has to be maintained every time you change your site or checkout flow) GA4 revenue tracking should be your top priority, but there’s a lot of confusion around GA4, made worse by Shopify apps that claim to offer GA4 integration but only offer client-side tracking. It shouldn’t be so complicated. At Littledata we’ve already fixed GA4 tracking for hundreds of top DTC brands. In this post I’ll show you how to check if you’ve set up GA4 correctly to capture orders and revenue, and how to start tracking ecommerce conversions today in the most secure and reliable way possible. Follow this guide to GA4 and you’ll be on your way to ecommerce data tracking in no time. We’ll look at how to get from this: To this: How to check if you’re tracking GA4 revenue and conversions After creating a new GA4 property and following the setup assistant to create a new data stream, you might have noticed that you’re instructed to copy and paste the Google tag (gtag.js) script on every page of your ecommerce site. Once you’ve added the Google tag to your site and linked your GA4 property, everything will just start tracking automatically, right? Wrong. With the basic script all you get are engagement events such as page_view, session_start, view_search_result, and click. Obviously these “automatic events” are super important, but they don’t tell you what happens post-click. Here’s how to check if your GA4 ecommerce setup is working or not. 1. Check your Acquisition reporting in GA4 There are two places to look to see if you’re capturing ecommerce conversions. First, the Acquisition reports. You’ll see user and traffic engagement details grouped by channel, but no conversion or revenue data exists. You’re seeing which organic or paid channels are bringing visitors to your store, but you can’t tell if you’re generating any revenue from these visitors. GA4 revenue reporting not showing is one of the most asked questions by merchants and performance marketers. 2. Check your Engagement and Monetization reporting in GA4Taking a step further, check your Engagement and Monetization reports. Do you see GA4 reporting data about cart updates, interactions with the checkout flow, or any purchase or revenue data? If revenue is missing in GA4’s monetization overview, you need to start tracking ecommerce activity ASAP. Otherwise, you’ll end up with a lot of data points that lead nowhere and you will not have an accurate understanding of your ecommerce store’s performance.  [tip] Use our complementary instant order checker for GA4 to check your property [/tip] How to track ecommerce conversions and revenue in GA4 After landing on your store, online shoppers interact with collections and products before adding items to their carts and going through the checkout process. These web interactions must be captured as events and linked with customers and marketing data in GA4 to get a complete picture of your business. We have looked at what data can be missing from your GA4 events and which enhanced ecommerce events you should track. But how can you get all these ecommerce events in GA4?  Google Tag Manager (GTM) has always been the most common tracking method for Universal Analytics, and the setup process can be carried over to GA4. However, for a lean team, the setup process can be quite time-consuming and complex, having to create a Data Layer In Shopify, and then for each event, you must create: Firing Triggers in GTM  Data Layer Variables in GTM Ecommerce Tags in GTM Needless to say, there are quite a few maintenance pitfalls if you're going down this route. Setup is just the beginning. To make matters worse, Shopify is removing GTM from the checkout for Shopify Plus stores (standard Shopify stores never had access). So even if you take the time to add all your own events to tracking visitors before they make a purchase, you’ll no longer be able to track checkout steps (add-to-cart, etc) with GTM. If you want to save time and money while still having confidence in the accuracy of your GA4 data, Littledata is the perfect solution for you. Our proven app is used by over 1500+ brands and can help you track your ecommerce conversions with ease, giving you the reliable data you need to make informed decisions about your business. Littledata’s data layer uses a unique combination of client-side and server-side tracking to ensure accurate, complete ecommerce data in GA4 and any connected data warehouse or reporting destination. Littledata captures complete ecommerce data automatically in GA4 for Shopify and BigCommerce stores. We can break down those events into seven general categories: Marketing channels Browsing behavior Checkout steps Conversions Revenue Recurring orders Upsells Of course, each reporting category has useful data, but brands that really want to scale link it all together to look at revenue and LTV by channel, splitting out first-time purchases from repeat purchases or recurring orders (subscription analytics). As I mentioned earlier, Acquisition reports are some of the most valuable sets of data GA4 offers. They show which of your team’s marketing efforts bring the most results, from traffic through engagement and conversions. The difference between having accurate or questionable ROI data in these reports rests on how the purchase event is tracked. It is useful to have the engagement metrics grouped by channel, but the difference between having accurate or questionable ROI data in these reports rests on how the purchase event is tracked.  Get started with Littledata today so you will have the data you need to scale faster the smart way. We recommend tracking in UA and GA4 “in parallel” as soon as possible.