Category : Press Release
Littledata closes growth funding round
Littledata is excited to announce a major funding round that will help us accelerate growth around the world. The round, which consists of a mix of debt and equity, provides significant runway for Littledata to continue expanding our ecommerce data platform and to keep hiring the best and the brightest in ecommerce analytics. New investors in the round include Tomas Slimas, the co-founder of Oberlo, which Shopify acquired in 2017. “Ecommerce business owners are dealing with an increasingly complex world of ad blockers and omnichannel user flows,” says Slimas. “Littledata helps them see where their revenue is really coming from.” [tip]Learn more about why leading DTC brands around the world trust Littledata for truly accurate analytics.[/tip] In addition to funding from angel investors, Littledata secured a revenue-based loan from Element Finance, a boutique growth finance firm with offices in San Antonio, Texas, and Dublin, Ireland. Element Finance Partner, John Gallagher, commented: “We were impressed with the business (co-founders) Edward and Ari have built, and they have a fantastic vision for moving the business forward.” “This new funding round is central to the next stage of our growth as an ecommerce data platform,” says Edward Upton, founder & CEO of Littledata. “Element Finance in particular had a genuine understanding of where we want to go, and we feel that they will back us all the way. The funding allows Littledata to accelerate on its mission to make it ridiculously easy for direct-to-consumer brands (using Shopify, BigCommerce, and more) to connect their data and understand performance.” The funding will allow Littledata to accelerate product development and marketing to enable more use cases and reach a wider range of brands. “As one of very few automated solutions for server-side tracking — and the only one I know of in the ecommerce space — Littledata has a unique market position,” says Littledata co-founder and CMO, Ari Messer. “This new funding mix allows us to double down on what’s working, while also exploring a wider range of tech partnerships and co-marketing opportunities. We’ve always helped brands get better data for analysis in tools like Google Analytics, but now we’re expanding to enable data for action in tools like Segment, Klaviyo and Facebook (Meta) Ads. It all comes back to our company value of being inspired by data internally and in what we can offer to customers and partners.” Learn more about Littledata by reading our 5-star reviews in the Shopify app store or browsing our partners and available integrations. PS. We're hiring :)
Google Veteran Margaret Sherer Joins Littledata Advisory Board
London, UK – May 26, 2022 – Littledata, an ecommerce data platform based in the UK, is expanding its advisory board with the addition of Margaret Sherer as Marketing Advisor. Sherer, who has held managerial positions at Google, Microsoft, and presently at MIRACL, is also founder and CEO of Cittadina Marketing, a full-service digital marketing agency based in London. “We couldn’t be more excited to bring on Margaret in a formal advisory capacity,” says Littledata co-founder and CMO Ari Messer. “She has a remarkable breadth of industry knowledge and shares our bias towards action. I can’t wait to see what we can accomplish together as we accelerate Littledata’s growth with brands and marketing agencies around the world.” Littledata is building a formal advisory board in order to help align its growing team on strategic goals, including go-to-market plans for new technical integrations such as Facebook Conversions API and GA4, the newest version of Google Analytics. The startup supports modern direct-to-consumer (DTC) brands selling on Shopify, and recently launched on BigCommerce as well. “Modern marketing success derives from rich data first insights. Littledata’s ability to reclaim data that goes missing in the ecommerce connection infrastructure in order to return insights to companies is invaluable. As first-party data and user insights grow in importance, Littledata will be a key player to enabling smarter, faster growth,” says Sherer. “I’ve loved working with the team so far and look forward to our continued collaboration as an Advisor.” "As first-party data and user insights grow in importance, Littledata will be a key player to enabling smarter, faster growth" After 15+ years working in marketing for Google and Microsoft and an MBA from Cranfield School of Management, Sherer founded Cittadina Marketing in 2017 with the aim to create and execute beautiful marketing campaigns led by strategy and supported with insight. Cittadina has worked with fast-growth tech companies such as Temporall, PepperSq, MIRACL and eDesk, and established blue-chip organizations like Google. Sherer also advises a range of startups and sits on the Advisory boards for Surrey IDEA and Westminster Business School. Learn more about Margaret Sherer, Cittadina Marketing and Littledata.
How to scale your business faster using first-party data [Podcast]
Data matters now more than ever for ecommerce store owners. It forms the backbone of any strong decision-making process and gives an invaluable look at customers you can't find anywhere else. But data collection is changing, with new privacy regulations and major tracking changes through iOS 14 (and beyond) adding hurdles to gathering truly accurate data. The solution to maintaining good data? Server-side tracking. To shed more light on the topic, Littledata CEO Edward Upton appeared on two podcasts to show listeners the power that data has on stores' future prospects, why it's so critical to focus on, and how to make sure you're using good data to guide your store. Keeping your ecommerce data accurate in a first-party data world Ed appeared on the 2X eCommerce podcast to chat with host Kunle Campbell about the big changes facing ecommerce data managers today. They dive into new restrictions on third-party data and how data managers can use tools like the new Facebook Conversions API (FB CAPI) and server-side tracking apps like Littledata to maximize ROI through data-backed decision-making. The conversation is a must-listen for any ecommerce store owner or data manager, particularly those spending significantly on acquiring customers through ads. They dive into: What events you should be tracking to get to know your customers betterHow you can still get the data you need without violating privacy lawsWhat the future of ecommerce tracking will look like, and how to prepare for it Hear the entire episode to get the guidance you need to make the right calls for your store. Listen on SpotifyListen on Apple PodcastsListen on Soundcloud How to use first-party data to improve loyalty and lifetime value Speaking with Flavilla Fongang from Tech Brains Talk, Ed shared how being able to analyze customer data correctly — using accurate metrics, of course — shows you the best paths to take for building both customer loyalty and lifetime value. Listen to the full conversation to hear how you can learn from your customers' behavior and make adjustments to your store design and promotion methods to drive more revenue and win more business. Listen on SpotifyListen on Apple Podcasts
Podcast: Turbocharge Your Growth With Trusted and Accurate Data
Before you make any big decisions for your Shopify store, you need to know if you're making them based on the best possible data. Having 100% confidence in your store's analytics leads to you making the right decisions to improve your store design, offerings, and promotion methods. It's also the backbone of a growth plan that will help you reach your store's revenue targets faster. In the 200th episode of the eCommerce Fastlane podcast, our CMO Ari Messer sat down with eCommerce Fastlane's Steve Hutt to talk about why there's a discrepancy between Google Analytics and other analytics sources, how that bad data can lead you down a wrong decision-making path, and what to do so you set your store up for growth instead. The episode also touches on: How to finally have 100% confidence in your data accuracyFirst-party, zero-party data, and why they're important to your storeHow to audit and fix Google Analytics to ensure accurate trackingHow to get accurate marketing attribution (including cross-domain and multi-currency)How to get accurate Facebook campaign tagging and campaign cost imported to Google Analytics Get a free analytics audit just for listening eCommerce Fastlane listeners can get a hands-on look at how to use Google Analytics, Segment, or any connected reporting tool to get more accurate data on their Shopify store. Get benchmarks for your store that help you analyze your place in the market, identify areas of improvement, and then plan a roadmap for building a better data stack that will supercharge your growth.
What's new in v2 of our Shopify source for Segment
We've a built a loyal following for our Shopify to Segment connection, and this month we've rolled out the next version, v2, with new events and enhanced functionality. As Shopify and Segment both continue to see unprecedented growth, Littledata is here to ensure accurate data at every ecommerce touchpoint. We've seen a surge in DTC and CPG brands on Shopify Plus that rely on Segment to coordinate customer data across marketing, product, and analytics tools. We have continued to develop our Segment integration to fit all of these use cases. [note]If you installed Littledata's Segment connection previously, please contact us to add the v2 events.[/note] About Segment v1 Last year, we worked with Segment to create a robust Shopify source for Segment users. The aim was to make everyone's job easier, from CTOs to ecommerce managers. Littledata's Segment connection v1: Captures all customer touchpoints on your store, both pre and post checkout Sends data to any of Segment’s hundreds of destinations Works seamlessly with Google Analytics Uses a combination of client-side and server-side tracking to capture browsing activity, orders and refunds Sends user fields for calculating customer lifetime value [subscribe] What's new in Segment v2 Since we launched the first Shopify app for Segment in May 2019, we have continued to make improvements based on user feedback and new use cases. The latest version of our Shopify source for Segment offers several updates and enhancements, including support for email marketing around order fulfilment events; tracking for a range of new order and payment events, including POS orders and order cancellations; and alias calls to support additional analytics destinations such as Mixpanel and Kissmetrics. Fulfilment status Many of our customers use Segment events to trigger transactional emails on platforms like Klaviyo and Iterable. One key email that stores want to customize is the 'Your order has shipped' fulfilment email, and so we now trigger a Fulfilment Update event when the fulfilment status of an order changes. This event includes status, tracking_numbers and tracking_urls (where the shipping integration allows), so the transactional email can include actionable details for the end user. These events can also be used in analytics destinations to look at fulfilment trends by product, or see how marketing campaigns around shipping match real-world delivery times. Support for email marketing Email marketing destinations such as Klaviyo, Iterable, and Hubspot, cannot use an anonymous identifier -- so our Segment connection now sends an email property with all events (when it is known), usually from checkout step 2 onwards. Where the email is captured on landing pages (e.g. popup forms) we also send this with the Product Viewed and Product Added events, to make it easier for you to run retargeting and engagement campaigns. Support for Kissmetrics & Mixpanel destinations To support seamless customer tracking in analytics destinations such as Mixpanel, Vero and Kissmetrics, Segment requires an extra alias call. Littledata ensures the pre-checkout anonymousId is added as an alias of the userId (used from checkout step 2 onwards). Learn more in our developer docs. Customer account creation On Shopify, every checkout (even as a guest) creates a customer record. This was already passed on to Segment with an Identify call and a Customer Created event. However, it is useful to know when this customer creates a password and creates a verified account with the store. For example, some brands use this event to trigger welcome emails or offer discounts. With Segment v2, we now send a Customer Enabled event when the user has confirmed their email address and created a Shopify customer account, with verified_email set as true. Payment of draft orders Some stores (especially B2B brands and wholesalers) create draft orders which are later paid. From November 2020, Littledata's Segment connection triggers an Order Completed event whenever these draft orders are paid, linking them back to the user session when they were created. POS orders Previously POS (point-of-sale) orders were excluded from Order Completed, as this polluted the revenue attribution in Google Analytics or other Segment destinations. However, as Shopify POS and other POS orders have become more popular, we now send a separate POS Order Placed event, so you can track the POS orders and choose whether to add them to your web orders. Payment failure After a customer goes through your checkout and completes an order, there is still a chance the payment fails, usually due to fraud checks. A new Payment Failure event allows you to track these failures, and see if they are more associated with particular marketing campaigns, geographies, products, or other factors. Order cancellations If the admin has cancelled an order, perhaps due to the product being unavailable, an Order Cancelled event is now triggered (including the cancel_reason). This is useful for both tracking/analysis and re-engagement campaigns. Product properties Last, but certainly not least, we've expanded the range of product properties sent with every product for better segmentation. Details such as shopify_variant_id, category and brand are sent with all client-side events and most server-side events. For more information, read our developer docs or schedule a demo today with an analytics expert.
Littledata acquires Facebook Feed and Pixel Perfect apps for Shopify
Littledata is pleased to announce the acquisition of two Shopify apps focused on Facebook advertising: Facebook Feed and Pixel Perfect. As customers increasingly turn to Facebook and Instagram for a seamless shopping experience, we're here to help stores give customers what they want: the right product at just the right time, no matter which marketing channel brought them in. Pixel Perfect automatically sets up an accurate Facebook Pixel for Shopify stores, along with numerous features to support dynamic product ads -- including a product catalog feed. If you're only looking to sync the Shopify product catalog, Facebook Feed is a smart product feed that supports unlimited products without timeouts or delays. Our expert analytics team is already providing customer support for both apps, and our product team is working to improve functionality for Facebook Pixel and Facebook catalog feeds, which are essential parts of running dynamic product ads across the Facebook network -- in other words, the keys to automated personalization. To quote Littledata's CEO, Edward Upton: "We believe stores investing tens of thousands in Facebook Ads need more reliable tools to target that spend. Littledata is able to improve upon the integration announced with Facebook and Instagram this week, and enable enterprise-scale stores to track their customer journey on Facebook." Shopify and Facebook Shopping Facebook and Shopify made major announcements recently about the many ways that customers find (and now purchase) products on Facebook and Instagram. They've emphasized that these new features will help small businesses succeed, and that's definitely a potential benefit. But let's be honest -- we all knew this was coming, COVID-19 or otherwise. There's just too much ad spend at stake. These updates and new features include: Facebook Shops: a new, complete storefront experience, integrated with Shopify (among other platforms, such as BigCommerce and Woo, Shopify is clearly the most significant: Shopify CEO Tobi Lütke was on the video call with Mark Zuckerberg) Instagram Checkout: a previously closed beta experience for direct shopping and checkout, now slowly rolling out for everyone At Littledata we're most excited about Instagram Shopping. It's not just a little experiment. Instagram's Vishal Shah told TechCrunch that almost 1 million stores are already signed up and ready to implement Instagram Checkout, so it's much more than its previous incarnation as a beta test with large brands like Zara and Adidas. Shopify is deprecating the Facebook Shop channel and will be pushing merchants to create these new Facebook shopping experiences (either ad campaigns or the full FB storefront). Stores that had product tagging set up through the Instagram channel before the announcement can already access Facebook Shops (the new feature -- different from the previous Facebook Shop channel, ahem...this is starting to get confusing). But like many Shopify announcements of the past, the overall timelines are unclear. And while they have improved the setup for their default Pixel implementation, we still see the same common issues like Product ID and revenue mismatches. Either way, these new features aren't necessarily a great fit for larger DTC brands by default -- they'll need something more reliable and customizable. That said, why not just go direct to the source? Facebook Dynamic Ads are already open to everyone, and they're a proven model for high-ROI retargeting and engagement. What do you need to run Dynamic Ads on Facebook for a Shopify store? Actually just a few things, which don't take long to set up if you haven't already: Facebook Business manager account Facebook Pixel (or SDK) on your site Product catalog feed That's where the new apps come in. Pixel Perfect Pixel Perfect is a popular Shopify app for automatically configuring a Facebook Pixel on your Shopify store. Facebook Pixel allows you to measure the impact of Facebook Ads on revenue, and calculate Cost Per Acquisition (CPA). It also allows you to build website custom audiences based on what users have seen or added to their shopping carts. Shopify has a native Facebook Pixel integration, but as noted it has numerous known issues, in areas such as product and revenue matching. Pixel Perfect fixes this automatically. Key benefits include: Send data to up to three Pixels (e.g. to use a backup pixel) Includes a matching catalog feed to serve Facebook Dynamic Ads 'Niche' product tags for building custom Facebook Audiences Order logs for comparative attribution Questions about Pixel Perfect features or how Shopify works with Facebook Ads? Read the Facebook Pixel Perfect FAQ in our help center. Facebook Feed If you're looking for a free product feed that works automatically with your Shopify product catalog, check out Facebook Feed. There are a number of Facebook catalog feed apps out there, but we were drawn to Facebook Feed because it is extensible and reliable. The app makes it easy to launch dynamic retargeting ads for Facebook users who engaged with your Shopify store. It works for product ads and catalog ads and it can support huge catalogs for Shopify Plus stores. Key benefits include: Up-to-date XML product catalog in the exact format recognized by Facebook Unlimited numbers of products and SKUs (no timeouts for large product sets!) Sync many products with Facebook and avoid pagination Compatible with Facebook page shops and Instagram Shopping Questions about setup or features? Read the Facebook Feed FAQ in our help center. What's next Littledata purchased Facebook Feed and Pixel Perfect from Tony Redfearn, an entrepreneur based in the UK. Tony is excited to see where we take the apps: "I am delighted to hand over the reigns to ensure success in this increasingly complex area. Littledata was the natural partner to take this tech to the next level!" As Littledata's Shopify customer base continues to grow, we are always looking at new connections and integrations. Our plan has always been to integrate Facebook Ads and Facebook Pixel more deeply into the Littledata ecosystem, and these popular apps turned out to be a great starting point. Our immediate plans are to improve both apps to make them even more powerful and extensible. Over time, we plan to fold this functionality into our core analytics app for Shopify merchants. For now, we are working closely with a broad range of merchants to understand their needs and how Facebook Pixel and Google Analytics can work in tandem for better ecommerce analytics, segmentation, remarketing and personalization. Audience building is one of our focuses, but we're also looking into the improved shopping experiences announced (ie Instagram Checkout), to see where events from our server-side Shopify tracking might best improve ROAS, AOV and customer LTV on these new channels and checkout experiences. Is there something you just can't wait to do with Shopify and Facebook? Let us know.
What's new in our Shopify apps for Google Analytics and Segment
Littledata is always improving. Over the last 6 months, we’ve worked on numerous features to enhance the accuracy and availability of our ecommerce data analysis for Shopify merchants. Littledata's smart connections make it easy to get accurate data in Google Analytics or Segment. The changes below affect both of our Shopify apps (Segment and Google Analytics for Shopify), marking the biggest major update to our Shopify tracking script and server-side tracking since we released V8 last year. [tip]Check out our release notes for regular updates![/tip] Attribution for email marketing signups In order to provide enhanced email attribution, we've linked 'customer created' and 'customer updated' events back to the original source. Stores building a customer email list can now analyze where those email signups originally came from. By linking customer creation or update events on Shopify’s servers to the original campaign or referrer to the store, Littledata customers can now accurately track the source of email signups. Merchants can now also segment these signup events by whether or not the customer opted into marketing. Checkout steps Tracking checkout steps is essential for ecommerce analytics, but Shopify's native tracking is incomplete and inaccurate. Littledata's Shopify connections solve checkout tracking issues automatically. With recent updates, we’ve made the tracking of checkout steps even more reliable, coping with situations where a user is already logged in, or abandons the cart and then returns later. [note]Did you know by sending the data to Google Analytics, you can easily track your Shopify payments gateway during checkout?[/note] With the help of the full Enhanced Ecommerce specification, you can: track exactly which products follow in each step calculate the value of opportunities to improve each step [subscribe] ReCharge connection, recharged As subscription ecommerce sites continue to scale, they need even more detailed data about the user journey, especially lifecycle events. [tip]Do you trust your subscription tracking in Shopify? Learn how to get accurate tracking for repeat orders[/tip] With our new ReCharge v2 connection, subscription stores can now track the full subscription lifecycle including: subscription updates cancellations failed payments product edits customer profile / information edits [note]See the full slate of ecommerce events you can now track with ReCharge v2[/note] Geolocation of server-side events Stores need accurate information on the location of their customers to retarget campaigns around top-performing regions or cities. The extra events above, plus all the standard order data, are sent from our servers in Virginia, US. But, of course, in your analytics, you want to see them linked to the customers' real location. We now have a belt-and-braces solution for correctly geolocating customer events, passing on the browser's IP address where known, or else sending the shipping address (default customer address) to Google Analytics as a 'Geographical Criteria ID'. CartHook and Bold Cashier We've always supported other checkouts for Shopify, as we know some stores need flexibility with payment, upsell and recurring billing options. And for the most popular checkout solutions, we're always looking at ways to provide advanced tracking automatically. So in the past 6 months Littledata has launched more robust integrations with CartHook and Bold Cashier. New Google Optimize connection Google Optimize is a powerful A/B testing and personalization platform used within and beyond ecommerce. [note]Connect your Shopify store to Google Optimize to test your product pages, store content and messaging with 100% accuracy.[/note] Now, we have an out-of-the-box setup for Shopify, including an anti-flicker snippet. And coming soon... In Q1 2020, we're working on connections for Iterable's email marketing platform, plus a more consistent way of handling Segment's anonymous ID for stores which don't use Google Analytics. Is there something you're eager to see in Littledata? We're always happy to hear feature suggestions — get in touch with our team today!
Littledata featured on the Honest Ecommerce podcast for Shopify stores
I recently stopped by the Honest Ecommerce podcast to give listeners the lowdown on ecommerce analytics. Check it out to learn how to fix tracking for Shopify stores! Get the free podcast episode here: Ep. 21 - How To Track Shopify Sales & Marketing (In A Way That Is Accurate & Useful) Honest Ecommerce is one of the fastest growing podcasts for Shopify and Shopify Plus store owners, from the good folks at Electric Eye agency in Columbus, Ohio. While the episode is focused on tips for Shopify stores, we chat about ecommerce tracking for every type of store, whatever platform and business model you're using, and how to do more with less, rather than getting bogged down in too much -- or inaccurate -- data. In the episode we cover: Why we started Littledata and the journey so far What is wrong with your data? (Does your Shopify data match what you see in Google Analytics?) What KPIs should you be looking at in Google Analytics? Using data to drive your business Analytics audits & ecommerce benchmarking How our integrations work, including Facebook Ads, ReCharge and Refersion Littledata's new Segment app for Shopify stores How to connect Facebook Ads data with Google Analytics automatically Which types of ecommerce sites get the most out of Littledata? And much more! :) Check it out and let us know what you'd like to hear about in our next podcast appearance. Haven't tried Littledata yet? Explore our connections or sign up for a free trial today. Transcript [00:00:01.750] - AriYou don't want to start redesigning the site or changing your product line based on a really limited sample because it could be just random. So the more data you can get, the more you can make sophisticated decisions. [00:00:16.300] - AnnetteWelcome to Honest Ecommerce, where we are dedicated to cutting through the b.s. and finding actionable advice for online store owners. [00:00:24.000] - ChaseI'm your host, Chase Clymer [00:00:26.050] - Annetteand I'm your host, Annette Grant [00:00:28.660] - Bothand we believe running an online business does not have to be complicated or a guessing game. [00:00:33.160] - AnnetteIf you are struggling into scaling your sales electric I is here to help to apply to work with us. Today's episode of Honest Eommerce. We welcome the co-founder of Littledata, Ari Messer. [00:00:53.930] - ChaseHe's going to explain to us that our data is broken and how to fix it. [00:01:04.310] - ChaseHey everybody welcome back to yet another episode of Honest Ecommerce. I do want to take one second to say thank you to everyone that's actually listening to it. I've gotten so many e-mails from people or just correspondents where people are like "we actually listened to your podcast. Like I learned something from your podcast." So now I have proof that I'm not just talking into the cloud. [00:01:23.240] - AnnetteWell Chase I hate to break it to you. That's me. I've made a lot of aliases and I'm emailing you to make you feel good about yourself. [00:01:29.360] - ChaseCool. Well then that's a bummer (laughs). Anyways welcome to Honest Ecommerce. [00:01:34.730] - ChaseI'm Chase Clymer, this is my co-host Annette Grant. And today we welcome to the show Ari from Littledata. He is going to kick our butts into gear with Google Analytics. Welcome to the show Ari, and let us know how you know so much about analytics. [00:01:49.130] - AriIt's good to be here. And I actually have I haven't created any aliases but I have the show that I've heard so far. I think it's great to have something here that's, you know, merchants really find useful and find that other agencies and partners too. [00:02:02.910] - ChaseSo yeah I just don't like to blow smoke up people's butts I like it to be honest and real. It takes hard work. [00:02:09.320] - AriYes. Yeah I think there's a lot more space for that now. If you can speak intelligently to people, they'll pay attention. [00:02:17.360] - AriThe more you learn about analytics, the more there is to know (laughs). Basically I joined Littledata as a co-founder a few years ago, and we've been on Shopify for about two years now. We're adding a lot of connections, the main ones being to Google Analytics. So what I knew before joining was really about how analytics could be used to help people grow a SaaS app, because they really were in the startup space a lot and now have learned more and more about analytics for ecommerce. So that's what we're here to talk about today. [00:02:53.150] - ChaseAwesome. So what was that transition like? How did you go from helping SaaS companies to building Littledata. [00:03:00.230] - AriYeah, it was really a natural transition. As we all know, ecommerce is huge. It's growing in all directions, it's continuing to grow and not just in the US, but all around the world. I'd had some cool gigs helping SaaS companies build out integrations. I used to work mostly on the product marketing side. Now, being this close to the company, I sort of do all kinds of things. It was really a lot of those integrations were either directly ecommerce-related or something that was sort of peripherally commerce-related, like helping build out an integration to do retargeting for card abandonment and stuff like that. [00:03:41.390] - AriAnd then with Littledata I met Edward Upton, the original founder in London, and kind of came on and as a Google Analytics consultant at first and just thought, "oh wow, this is a really cool idea — you're actually helping people fix their data, not just report on it." [00:03:57.590] - ChaseSo what is one of those common mistakes that you guys were seeing out there with the data? What's broken with my data? [00:04:08.370] - AriWe do have an audit tool that people can plug in and sort of get a sense for what might be tracked correctly and what's not. So there are all kinds of things that can go wrong. I think for Shopify stores in particular, there's often a mismatch between how sales are being calculated. So that includes different parts of the checkout funnel, when types of products or product groups people are adding to cart that are not purchased, and all the way through actual sales and refunds. [00:04:42.870] - ChaseI can agree with that. I noticed there's always a mismatch between the number in Google Analytics and the number in Shopify. [00:04:49.790] - AriAbsolutely. And with our app, we basically fix that issue. You know sometimes, you have to do a few more connections and activate some of our plugins (like if you're using ReCharge to do subscription sales or whatever it might be). But basically, what the app does, (not to get too geeky) is use server-side tracking so that every single user action and every sale is tracked in Google Analytics. So what you see in Shopify will match what you see in GA. [00:05:22.170] - AnnetteSo you can get yours to match Google Analytics? [00:05:26.610] - AriYeah, I would say 99.9%. [00:05:30.780] - AnnetteWow. So if people if things aren't tracking properly, is it because the developer didn't set up Google Analytics correctly? Let's kind of peel it back for for our listeners. If they're looking at their Google Analytics, what are some red flags where they would be in need of "pick your theme and get it in the app." Google Analytics sometimes gets very confusing, so walk me through what are the top things to look at and what needs to be fixed? [00:06:13.260] - AriThe main thing is just like Chase was mentioning that just raw sales numbers like when you look at the number in your bank account maybe doesn't match what's Shopify shows. And that doesn't match what's in Google Analytics. So that's definitely a red flag because if you're looking at any sort of marketing campaign — I know we're all getting more and more sophisticated about using audiences and all this stuff like fancy stuff for retargeting and trying to sort of sell people stuff that they're more likely to want to buy — often, you go in there and look and say "well this campaign seems to have worked really well, and yet, the overall sales number is not matching what should be the number of conversions that we got. So it's any kind of mismatch like that, when you're like "this just doesn't seem right." And then of course as you grow, being off by a couple percent can means more and more amount of money. So any kind of mismatch is kind of the thing to look for. [00:07:15.670] - ChaseYeah I mean it's just a snowball effect. Like "oh it's just a few dollars" but that can add up. [00:07:20.760] - AriAnd I wouldn't blame the developers for a lot of it. Some of it's just that Shopify's native tracking and their native Google Analytics integrations are fine, but they're just not that sophisticated. And as we all know, part of that's because they have this really awesome app ecosystem. So you kind of have to find the right tools to make sure it works so that nothing is missing. I mean, I've been guilty of it too, not tagging campaigns consistently, like when you're making your Facebook campaigns and then you start to add more, like the snowball effect. Like how do you really organize them or make sure everything's tracked right? [00:08:03.980] - ChaseThere's just so much in there. So I just want to bring it down to simplify it a bit for our listeners. So, you know, I've got Joe's shoe shop. We're selling sneakers and we're real business. This isn't like a side hustle, this is my full time job. What are the KPIs I should be looking at in Google Analytics? Let's just try to educate people about Google Analytics a bit. [00:08:28.600] - AriSo one thing you should be looking at is how detailed...like if you start to wonder "is this product group performing well?" so stuff that's sort of outside normal questions about overall how's the business doing. So stuff like payment cart abandonment, products being added to the cart, particular pages getting more views than other pages. What are some of the basic thing is that make sense? Like it's the sort of details if you think about merchandising or you're thinking about the next season or what you're going to do for a promotion if you want to go in and look in GA to try to figure out a data-driven view of of what to sell or what to promote or things that might get more subscriptions. [00:09:26.500] - AriLet's say the shoe business is on subscription, running shoes where you've got a new one every month or every quarter or something. You'd want to go into GA and be able to see the type of product that you should promote. [00:10:55.390] - ChaseI think a common oversight with analytics is "it's just data." It's just a bunch of numbers and you have to extrapolate from those numbers and make inferences. You use that data to drive your business and if there isn't like a on-size-fits-all approach to it, it's definitely business-specific. [00:11:20.650] - AriYeah for sure. And so for us, you know with Littledata, what the app does is first, fix the tracking, so then for your particular business, you can go in and figure out the key metrics to to pay attention to. With ReCharge, I'm sure you have a lot of clients doing subscription business. And we're definitely seeing a lot of people that are either experimenting with subscriptions or that's like all of what they do, you know for like athletic supplements or workout clothes or whatever it is. [00:11:52.240] - AriI'm just bringing it up but I think it's a really good sort of case study in how a basic fix in analytics can really help. And you might want to just see if your advertising campaigns are leading to more first time purchases or recurring purchases, like people signing up to get stuff every month. And unless you've set up tracking correctly for the checkout flow, you'll go into Google Analytics...you could be running your company for years and go in (to GA) and suddenly realize there's no way to see that that split. [00:12:29.870] - ChaseYeah that's definitely important information. [00:12:32.720] - AnnetteThis might be a left field question, but can the app at all help with search engine optimization like work the organic there if things are behind the scenes are running smoother? Like could it help you notice things that would help you rise to the top a little bit more? [00:12:51.440] - AriIt's definitely not the main focus, but we do have some fixes (both sort of audit checks) and actually website benchmarks against other sites which you can also see in the app, against Shopify stores and things. For technical performance stuff like page load speed, it actually does have a big effect on SEO. [00:13:12.810] - AnnetteOh cool. So just to make sure I understand this, inside the app, you will have competition in there and I could see like their page speed load compared to mine? [00:13:22.070] - AriExactly. [00:13:22.170] - AnnetteOh that's awesome. OK. Now that's that's a huge value. [00:13:26.460] - AriYeah. We have those benchmarks broken down by sector, so you could look and say (obviously you can't see the actual stores it's all anonymized, I should say that upfront) but you could go in and say against other people selling shoes with an average order value around one hundred dollars per purchase, "is this a good page load speed, is this a good conversion rate?" stuff like that. [00:13:53.300] - AnnetteThat's really valuable. [00:13:53.410] - ChaseIt is. So there's data everywhere. Is it only Google Analytics you guys are taking a look at? [00:14:00.220] - AriSo the main app does connect with Google Analytics. Our main Shopify app is called Google Analytics by Littledata. By the time this podcast comes out, hopefully we will have launched an app for Segment. So Segment is sort of a connector between all kinds of different apps and platforms. And what this app will do is pull Shopify data, and again making sure everything's tracked correctly (checkout steps, sales, etc.) and pull that into Segment, so then you can connect it from Segment to any destination, which includes Google Analytics. [00:14:46.640] - ChaseThat's wonderful. Yeah I'm over here on the website and I see there's so many connections you guys have set up. [00:14:51.160] - AriCool, yeah. We're building out more, so to the listeners, if there are things you'd like to see, or if you've found a particular analytics problem, let us know and maybe we can fix it or help you find a way to automate or automatically check if it's working or not. [00:15:11.540] - AnnetteDo you want to explain those connections. Like I'm actually looking at your site right now too. So if I were to call in to see if I could get the app, what are some of those things that you would talk, about like the Facebook Ads connection that you have? [00:15:22.710] - AriSure yeah. So basically, for all the connections other than Segment, first you connect to Google Analytics. We're using that as sort of the ultimate source of truth. We always recommend to clients that it's good to gather lots of data and you want to be able to get detailed, but you really want to focus on just a couple of core metrics that are most important (like we were saying earlier) to your business. [00:15:59.700] - AriSo for some people, that will be how their Facebook Ad cost contributes to a particular detail about sales for one kind of product or a new product type or sales type or whatever it is. So what the Facebook Ads connection does is actually pull your ad costs and campaign details into GA so that then you don't have to rely on what Facebook is telling you in terms of how well the ad has performed and how many conversions you got. Instead, you can look and say "oh this campaign actually led to people adding a bunch of this type of product to the cart" or "it ended up leading to X amount of subscription revenue" [00:16:41.740] - ChaseSo you can drill down to the product level to see what had been added to the card from that campaign. [00:16:48.590] - AriExactly. Google makes that pretty easy to do with their own products, but they make it fairly complicated for people using other platforms. And so what a connection like that does is pull in the Facebook data and then suddenly plug that in along with everything else. [00:17:04.710] - ChaseCan I use this app to also see that information from Google AdWords and Google Shopping? [00:17:09.600] - AriYou can. The AdWords connection works a little different whereas it's pulling...I mean the effect is similar, but it actually lets you pull your Google Analytics data into AdWords so you can see sales again...like product sales next to campaign performance. [00:18:20.720] - ChaseWell I'm one hundred percent going to do a demo of this app. This is awesome. [00:18:25.160] - AnnetteYeah I have a question...Chase, you might be able to answer this too. So for instance, are my Facebook Ads currently connected to Google Analytics automatically, or do you have to have an app like Littledata to do that for you? [00:18:41.420] - AriI'd have to take a look at yours in particular, but in general, unless you've gone through and set it up, no they won't be. You might have Facebook as a source, but that won't give you much detail. [00:18:54.640] - AnnetteRight because, specifically going back to what you guys just talked about, I have an ad running right now for a piece of equipment that's a higher dollar and I'm making sales not the ad, but I'm not selling that particular product and I want to drill down and see exactly what I'm selling off of the ad, but I can't do that in Facebook Ads but this would enable me to do that, correct? [00:19:18.940] - AriExactly. That's the perfect test. Yeah. [00:19:21.080] - ChaseAnd you can take it one step further and see if those people are viewing that expensive product for a long time or create a segment to retarget those people and educate those people. Set up some drip campaigns if you have their email? [00:19:37.360] - AriExactly super smart. It's kind of like maybe they're not buying it but they actually were really interested in it. They're like "oh I'll try this first" [00:19:46.890] - ChaseAnd then it's your job to market them and educate them. Here's the thing, I think with just any advertising campaigns, people go for the kill, like instantly it's "buy this buy this buy this." You need to explain what the product is first and educate them about the product, especially if it's an expensive product. No one's just going to drop one hundred dollars plus on something that they didn't know existed before your ad. [00:20:12.500] - AnnetteThey won't drop 500 not knowing what it is? (laughs) [00:20:15.150] - AnnetteI'm going to run this ad, new product 30 days and do it. But what's happening (exactly my issue, so sign me up for the Littledata app today) because I don't know what they're buying. They're not buying the high dollar, they're buying other products and I want to see how that ad is tricking down to that. That's something before we even started this conversation — I didn't know that that connection would do that. [00:20:42.740] - ChaseWe have clients ask all the time to drill down like, what are people doing from the ad if they're not...It's like yeah you made money off the ad your turned out fantastic but they're like cool, like what were they buying? There's no easy way to see that in Facebook. [00:20:56.000] - AriTotally. And even when we started Littledata, we didn't realize that at first. And as we started working with more companies, we were doing custom setups with Google Tag Manager to try to figure this out, and then we were like "wait a sec. If we could just build something that would pull this into Google Analytics, voila." [00:21:16.320] - AnnetteThat is so valuable. My brain is kind of rocked. That's awesome. [00:21:23.960] - ChaseYeah you just ruined Annette's weekend. Now she's going play with this. [00:21:31.610] - ChaseIt takes time to get data that you can make a decision from. You don't need to be looking your data everyday. Unless you're getting so many page views and sessions a day, which is top tier million dollar companies, you don't have enough data to make a decision from 24 hours ago. Even with ads, if you're not spending thousands of dollars a day you know your ads run for like a week before you see what the hell is going on. [00:22:03.040] - AnnetteActually Chase, you taught me that. Like this specific ad that I'm running right now...t's what, the twenty eighth of the month? We started running it at the beginning and I said "hey I'm not even going to look at this. Let's just let it roll, like let's not even look at." I looked at it yesterday and I was like "wait, what's happening here?" I would know if I sold that high dollar product. We didn't. And I'm like I'm just going to let this roll for a while just not even pay attention to it and focus on everything else. And when I looked at it yesterday...we're selling stuff, we're not selling that product, the ad is working, but how? [00:22:32.730] - ChaseYeah the attribution on Facebook is unique in and of itself...and honestly you can get some sketchy agencies that make that thing really long. And they get that attribution up and they're like "Yeah, we made you all this money" but you're like where is it? Where's that money? [00:22:52.300] - AriYeah. [00:22:52.370] - AnnetteBeing a store owner, I have wonderful developers that I work with but sometimes I try to do some of this stuff myself. So when I now, after my mind's been blown and I get the app, is this something that you need to have a developer connect for you, or is it easy enough for a DIY store owner to do themselves? [00:23:17.790] - AriYeah we've definitely tried to make it easy enough. And the good thing is for Shopify (and we do have clients on other platforms like Magento, BigCommerce) it's fully automated. So unless you have a really customized theme (in which case we do have separate setup steps where our support team can help you) it all should just happen automatically [00:23:39.020] - AnnetteAnd that is for Facebook Ads also? [00:23:41.340] - AriYeah. [00:23:42.560] - AnnetteOh wow. OK. [00:23:44.030] - AriIt'll give you a guide in the app. You'll have to make sure that the campaigns have been named in a certain way. There's some things we can't do automatically. But for those few things that we can't do it, it gives very clear steps. [00:24:00.760] - ChaseSo what size stores does this make sense for? [00:24:07.720] - AriI always say anyone who wants to grow should start tracking things early, because otherwise you'll get to a point where you can't go back and get a start date if the tracking wasn't set. Basically once you start to introduce traffic, our basic plan runs up to about five hundred orders per month. We have the pricing tiered based on sessions, orders or sales, but the number of orders is a pretty good indicator. So once you're starting to get traffic and have some orders come through, it's a good time to go with it. And then for our enterprise plans, where we do help with custom setup and reporting and things as needed, those are generally larger — you know, bigger DTC brands doing maybe five to 50 million a year. [00:24:55.020] - AnnetteAwesome. Just for our listeners (this is something I always like when apps offer this), Littledata offers a twenty five percent off discount if you pay the annual fee upfront so you can save some serious dollars. [00:25:09.330] - AriOh yeah. Hey you're doing my job for me! That's a good point. [00:25:13.420] - AnnetteIt's always nice to be rewarded if you're going to pay for something upfront, as a consumer. [00:25:22.160] - AriYeah. And we do find like Chase was saying, it takes a while to start gathering the data for advertising campaigns, and also just for understanding user flows on your site because you really need a lot of information. You don't want to start redesigning the site or changing your product line based on a really limited sample, because it could be just random. So the more data you can get, the more you can make sophisticated decisions. [00:25:47.740] - ChaseAwesome. I think that is the gem of the podcast right there. And with that I think we're going to wrap this one up. [00:25:54.700] - ChaseIs there anything that you want to leave with our guests? I know everyone probably want to go check out the app. It's Littledata.io slash Shopify (90 percent of our listeners are probably on Shopify). [00:26:05.430] - AriYeah, nothing in particular...ifyou're using ReCharge, our Shopify ReCharge connection is really powerful will probably solve a lot of tracking issues that you thought couldn't be solved. So check that out. And that's about it. It's a great podcast. Good to be here. [00:26:23.970] - AnnetteNo, thank you! I do appreciate it. You actually answered the question I was going to ask Chase after the podcast (laughs). [00:26:30.500] - ChaseI hate when we have podcasts when it's like a sales letter, but for this app, it's just so fancy — it works. It solves problems and that's what people want. [00:26:41.840] - AnnetteActually it's solving problems I didn't even know there was a solution for. So that's exciting. Thank you Ari. We appreciate having you on today. [00:26:52.690] - AriOh and you just one more thing...If anyone has questions, even if they don't need the app, we do a lot on our blog around analytics issues. So feel free to write to us with topics you'd like covered and we'll sort of investigate. [00:27:09.790] - ChaseOh cool awesome I'll check that. I'll check the blog out too. Awesome. Well thanks a lot.
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