For merchants who run subscription-based businesses, accuracy is crucial for tracking recurring orders. The problem: popular platforms like Shopify provide merchants with native analytics that are broken. In other words, these platforms don't offer a complete picture (or an accurate one) of data that subscription-based stores depend on. There are many potential blockers for these store owners, but we narrowed it down to three: 1) Customisable orders & levels of membership Many successful subscription-based stores allow shoppers to customise their monthly orders. While this is an effective draw for consumers, it causes all kinds of headaches for the teams that manage the orders. The ability for customers to customise monthly orders adds layers of complexity for teams who manage product inventory, fulfillment and logistics in the back end. Perhaps the best example is from the hugely popular Dollar Shave Club. Known for their humor-driven marketing approach, the brand constantly encourages its subscribers add more and more products to their monthly shipments, which go out at different times each month. Due to the brand's meteoric growth over the past five years, this creates headaches — imagine fulfilling dynamic orders each month (different cart sizes, products and membership levels) for hundreds of thousands of customers across America. The 'curated box package' is another common subscription model. StitchFix, a curated clothing company for men and women, surprises its customers each month with a package containing 'personalised' new outfits. While the surprise factor might not be a draw for some, the brand's main appeal is the diversity of its products. Every month, StitchFix's variety is what appeals to its majority millennial market. Whether your store offers dynamic monthly ordering (where customers can change the contents of their cart) or follows a more traditional subscription model, it's crucial to have data you can trust. This means finding an ecommerce solution built to handle both customer changes and increased payload as your store scales. [subscribe heading="Automatically track your subscription orders" background_color="green" button_text="find out how" background_link="https://www.littledata.io/connections/recharge"] Affiliate marketing & partnerships It's common for subscription-based stores to partner with affiliate marketers to generate an additional source of revenue and tap into new customer groups. However, with more customers comes more demand, and the importance of accurate data only increases — this includes tracking sales made through affiliate partners, commission owed on each sale, etc. 2) Customer loyalty & reward programs When done right, effective customer loyalty programs create more loyal customers, boost customer retention and increase sales. These programs aren't used by every subscription-based brand, but for the brands that use them, they really do work, according to LoyaltyLion. However, as high shopper expectations continue to soar, the landscape for rewards programs is getting more competitive. Shoppers know that if they don't absolutely love one aspect of a brand's rewards program, they can easily run to a competitor that offers what they're looking for — whether it be a cheaper price tag, better discounts or more rewards available. Mark Hook, Head of PR and Communications for retail management software Brightpearl, had this to say: Over two-fifths of millennial shoppers (45%) admit to being less loyal to brands when compared to a year ago, and are quicker to abandon buying from companies that don’t meet expectations A great example of a rewards program within a subscription is Nike+. By putting the mobile shopping experience at the top of its priority list, Nike has developed multiple apps that work hand-in-hand with the Nike+ loyalty program by allowing its members to 'take the brand wherever you go.' By offering easy member access to the program, Nike gets higher engagement from community members and increased brand loyalty from repeat buyers. However, for merchants, a successful customer loyalty program hinges on back end analytics and whether or not it's set up properly. For merchants relying on Google Analytics for tracking, do you have custom dimensions set up? Are there parameters to track recurring orders, free trial offers, promo codes or even brand events? 3) Payment security & order changes Ecommerce businesses not operating on a subscription model typically receive credit card information every time a transaction is made. On the other hand, subscription-based businesses store data for recurring purchases, which simplifies the user experience and helps encourage users to continue paying each month. With potentially millions of credit card numbers stored in a database, brands are constantly at risk for large-scale fraud. This forces brands to invest in airtight security measures to protect your own revenue and the sensitive data of your customers. Merchants need to stay prepared for orders with expired credit card info, subscription cancellations and changes to recurring orders — all of which make it tougher to accurately track individual events and transactions. Running a subscription-based store with data you can trust Even with these hurdles, there's a shiny silver lining for merchants who rely on subscriptions. Littledata's plug-and-play ReCharge integration connects with Shopify and Google Analytics to do the following: Automatically track first-time payments and recurring transactions Provide accurate marketing attribution for subscription revenue Segment performance by payment source, subscription plan type and product category Benchmark your site and offer access to professional-level subscription analytics tools With Littledata's Shopify ReCharge integration, there's a better way forward for merchants who manage subscription orders. BullyMax, a popular nutrition and muscle-building supplement for dogs, and Dry Farm Wines, a health-focused natural wine club, are two top subscription brands that have seen great success with Littledata's Shopify ReCharge connection. Read more about our topintegration for subscription analytics. In a follow-up post, we discuss a fool-proof solution for Shopify merchants who manage subscription orders. Check it out!

Recently, Smart Goals in Google Analytics have resurfaced as a helpful feature for ecommerce merchants, but particularly Shopify merchants. In a previous post, we outline what Smart Goals are and why some ecommerce businesses use them. However, a lack of trust (and lack of endorsement) with the Google Analytics feature has turned away ecommerce merchants, particularly Shopify merchants. Like we discussed in the previous post, Smart Goals is a goal-setting users can enable in Google Analytics. Unlike other goals, Smart Goals uses both behavioral data and contextual (shared) data to predict which of your web sessions will result in a conversion. The pitfall here is that the data is not your data, which would naturally be the best predictor of future conversions. Instead, Google's algorithm seeks highly-engaged visitors and then uses that data to conclude the likelihood a given web session ends with a conversion. Google puts it this way: To generate Smart Goals, we apply machine learning across thousands of websites that use Google Analytics and have opted in to share anonymized conversion data. From this information, we can distill dozens of key factors that correlate with likelihood to convert: things like session duration, pages per session, location, device and browser. We can then apply these key factors to any website. The easiest way to think about Smart Goals is that they reflect your website visits that our model indicates are most likely to lead to conversions. Are Smart Goals a good idea? There's a big hitch in the original concept. Smart Goals was designed for merchants using Google Ads who don’t use conversion tracking. Smart Goals was to help optimise their Ads campaigns by collecting important metrics of user engagement. In theory, it sounds brilliant and helpful for ecommerce merchants and business owners of all scales. But here's how it breaks down in real life: Advertise, measure, repeat As a rule of thumb, ecommerce merchants with stores of all sizes should be measuring their advertising performance. Even if you're creating a "set it and forget it" Google Ads campaign, it's still crucial to track product views, page views, user engagements, cost per click, etc. If you're advertising your products without measuring, you're likely wasting your time and your budget. So how do you ensure you're making good use of ad dollars? Properly set up conversion tracking. Littledata's Google Ads connection is a great place to start. With the connection, you can be confident in your data reporting and that you're tracking the metrics that matter. [subscribe heading="Get Littledata's connection for Google Ads" background_color="grey" button_text="Get the connection" button_link=https://blog.littledata.io/2019/02/28/link-analytics-to-adwords-with-our-new-google-ads-connection/] With conversion tracking, you can follow a shopper's journey and see how many ad clicks lead to purchases, contacts, downloads, signups and more. This data will help you better optimise your campaigns and adjust the ad copy, visuals and calls-to-action to what performs best. Unfortunately, there are thousands of ecommerce merchants who advertise their products without proper conversion tracking. This sets them up for underperforming campaigns and stalls their online store from scaling. Can you really trust anonymous data? The short answer is a resounding no, and for a few reasons: Using other people's data to make crucial product and marketing decisions around your campaigns, your website and your customers isn't a good idea. Only your own customer behavior trends will guarantee you're making optimal business decisions for your product marketing campaigns and your online store. How does Google's algorithm determine likely conversions? If conversions aren't defined and conversion tracking isn't properly set up, how can likely conversions be determined? Google basically assigns each web session a score, with the top sessions made into Smart Goals. That begs the question, "what defines top sessions?" Google scans anonymous data (such as session duration, pages per session, location, device, and browser) to select the users that are "most engaged" in your online store. For example, let's say Shawna the Shopify merchant. Shawna uses Google Analytics to track her product sales and other "big data" figures. However, Shawna has never set up goals in GA. For someone like Shawna, Google would use engagement metrics in place of conversion metrics, since Shawna has no conversion tracking for her Shopify store. This is not necessarily problematic. What is problematic is that other important metrics are left untracked. This includes metrics like: Average order value Customer lifetime value Cost of engaged users Sales increases Google Ads campaign optimisation If conversion tracking was set up (rather than Smart Goals), Shawna would easily be able to trace the online journeys and user engagements on her Shopify store. Littledata's Shopify connection with Google Analytics would also provide Shawna with curated reports and analytics to help make sense of her GA data stream. What's the verdict? While even Google advocates for conversion tracking, there is a better way to track the metrics that support better decisions for your ecommerce business. When advertising, especially with Google Ads, it’s incredibly important to use your own data to make decisions for the positive growth of your campaigns.

In a nutshell, Smart Goals measure the most engaged visits to your website and automatically turn those visits into Goals, even if you don't have conversion tracking or ecommerce tracking. Those Goals are then used to improve your Google Ads bidding. Not only are Smart Goals one of our favorite features of Google Analytics, but also a helpful resource for ecommerce merchants of all sizes. How do Smart Goals work? The Smart Goals feature in Google Analytics is the result of machine learning algorithms and configured at the view level. These algorithms scan dozens of signals within your website sessions to determine which signals are most likely to result in a conversion. Each session is assigned a score, with the "best" sessions being translated into Smart Goals. So what are these "signals"? Session duration, pages per session, location, device and browser type are among the most popular. To determine the best sessions, Smart Goals establishes a threshold by selecting approximately the top 5% of the traffic to your site coming from AdWords. Once that threshold is set, Smart Goals applies it to all your website sessions, including traffic from channels other than AdWords. After enabling Smart Goals in Analytics, they can be imported into AdWords. What do I need before setting up Smart Goals? If you're an online store owner interested in using Smart Goals, you'll need to have an existing Google Ads account linked to Google Analytics. You'll also need edit permissions at the view level in order to complete the setup. Before setting up Smart Goals, your linked Google Ads account must also have sent at least 500 clicks to the selected Analytics view over the past 30 days (if the linked account falls below 250 clicks over the past 30 days for the selected view, Smart Goals will be deactivated until the clicks rise again to 500 or more). Google Analytics recommends that Smart Goals be used when you aren't measuring conversions. In other words, they're an easy way to use your best sessions as conversions. You can then use Smart Goals to optimise your Google Ads performance based on the best sessions pattern. [subscribe heading="Try Littledata free for 14 days" button_text="Start your free trial" button_link="https://littledata.io/app/get-free-trial"] How to set up Smart Goals If your user permissions are eligible, you can enable Smart Goals by selecting the goal type when following the regular goal setup flow: Sign in to Google Analytics. Click Admin, and navigate to the desired view. In the view column, click Goals. Click + New Goal. Select Smart Goal (if available). Give your Smart Goal a name and click Save. No additional configuration or customization is required (they're called "Smart" for a reason!) How to import Smart Goals into Google Ads After you've activated Smart Goals in Google Analytics, sign in to your Google Ads account, click the Tools tab, and select Conversions. Click Analytics in the left-hand menu. Check the boxes next to the goals or transactions you want to import. Click Continue. On the next page, you'll see settings that will apply to all of the goals or transactions you selected. Make your choices, then click Import goals. Click Close, or to import more goals, click Import more. Google Ads will begin importing the data from your Analytics account. Historical data prior to your import will not be included. Your Smart Goals report To see exactly how Smart Goals perform, use the Conversions > Goals > Smart Goals report. This report shows how Smart Goals traffic differs from other traffic to your website. You can also include the Smart Goals Completed dimension in custom reports. The Smart Goals report also shows how Smart Goals would perform even before enabling them in your view. This helps you determine if Smart Goals will be a useful feature for your ecommerce business. Interested in getting help with any of these features? Littledata's enterprise plans include complete support, a dedicated account manager, data analytics experts and ecommerce Google Analytics consulting. We covered what Smart Goals are, but are they actually beneficial? Next, we cover the why (or why not) behind Smart Goals. 

Shopify is a terrific, industry-leading platform that continues to see success with its variety of in-app features and integrations for merchants. One of the ways it hasn't been successful? It's native reporting platform. In a recent post about popular brands using the Segment app for their Shopify store, we outlined what the Segment platform is, and why top brands are choosing to use Shopify and Segment together. In this post, we'll run down the three best benefits for merchants using Shopify and Segment in tandem. First, let's start with the problem: What’s wrong with Shopify reporting? Shopify’s native reporting is simplistic and incomplete, missing key steps in the customer journey. This makes it difficult for Shopify merchants to get accurate data on sales and marketing efforts for their store. The situation is even worse if you want to push that data to Segment, as previously this had to be done manually (i.e. you'd need to hire a developer and a consultant just for the setup). The good news: Littledata's new Segment connection (available in the Shopify app store) fixes this automatically. [subscribe heading="Use your store as a Segment source" background_color="green" button_text="Get the app" button_link="https://apps.shopify.com/segment-com-by-littledata"] How does the Segment connection work? Once the data is tracked within your Shopify store, it's then sent to Segment. By adding Shopify to your Segment sources, it's easier to push your Shopify dataset to Segment destinations so you can report and act on ecommerce behavior. Plus, our app fixes the tracking automatically - so you can make data-driven decisions with peace of mind, knowing that the Shopify data is accurate when you push it to Segment destinations. Tracking for Shopify & Shopify Plus To recap from our post a few weeks ago, Littledata's Segment connection sends the following events from your Shopify or Shopify Plus store to Segment. These events will show up as tables in your warehouse, and as regular events in your other destinations like Google Analytics, Amplitude, Mixpanel, Kissmetrics, Heap and more. Among all Shopify apps, the Segment connection offers benefits unique to Shopify partners. Check out our help center for additional questions on the Segment integration. 3 benefits of connecting Segment with Shopify 1) Capture every customer touchpoint Our Segment connection lets you use Shopify as Segment source. In other words, merchants can now automatically track every ecommerce touchpoint on your Shopify store, including: User/browsing behaviour Checkout steps Sales & refunds Customer lifetime value (CLV) Marketing metrics like customer acquisition cost (CAC) When merchants integrate Segment with Shopify, no touchpoint in the customer journey will go untracked. This includes multiple checkout steps, sales conversion data and customer lifetime value (CLV), one of the most crucial metrics for any store owner to track. 2) Server-side tracking for 100% accuracy Speaking of tracking, Littledata's server-side tracking approach within Google Analytics beats out Shopify's native reporting, which is riddled with inaccurate numbers. Server-side tracking ensures each data metric is 100% reliable, empowering merchants to make better, data-driven decisions for their store. 3) Set up in minutes for any Shopify store Quick integrations should never be undervalued. Within minutes, Shopify merchants can have their stores armed with a steady data flow. Sound too good to be true? That's the power of next-gen tracking and reporting. Which events are tracked? Littledata's Shopify app for Segment users automatically tracks key events in the ecommerce journey. These currently include: From your Segment workspace, you can then push this data to hundreds of Segment destinations, such as: Reporting and visualization tools like Mixpanel and Google Analytics Sales and marketing apps like Hubspot and Salesforce Email marketing like Drip and Klaviyo And the list goes on and on...check out this master list of Segment destinations. Enterprise plans for Shopify Plus stores The Segment integration for Shopify captures every stage in the customer journey, empowering you to do more for your store with an accurate dataset. The best way to get started? Littledata enterprise plans are a popular option for Shopify Plus merchants and other stores set on major growth. Enterprise plans offer reliable customer support, a dedicated account manager, help from our Google Analytics consultants, data analytics experts and ecommerce growth hackers.

It's no secret that Google Analytics is the bedrock of modern analytics. For data analytics experts in all verticals — not only ecommerce — Google Analytics is the primary tool for setting goals, tracking results, ecommerce benchmarking and optimising campaigns for peak performance. But GA is no walk in the park. It's a complex platform with a robust dashboard, unique features like Enhanced Ecommerce and dozens of helpful tracking features for merchants big and small. Because GA can be a learning curve for inexperienced users, many merchants opt to work with a Google Analytics consultant or Google Analytics consulting group to help them navigate the waters of GA and fully optimise their product campaigns. [subscribe heading="Get the best Google Analytics consultants for ecommerce" background_color="green" button_text="get started" button_link="https://www.littledata.io/app/enterprise"] Before you go hunting for a GA consultant for your online store, make sure they check all the important boxes: Coding experience: from UTM parameters to more complex bug fixes, a respectable GA consultant should be comfortable messing around with code. While troubleshooting and custom implementations are the most common calls for coding experience, Google Analytics experts should be well-versed in coding within GA. Segmenting aptitude: As the old adage goes, averages always lie. In other words, the insight of data reports goes beyond the average numbers that GA shows. To better understand the data, an experienced GA consultant should know how to segment the data. If you hire a GA consultant who shows you plain GA exports exactly as Google shows it to the user, he/she is providing your store no value. Data without a plan of action is just a collection of reported numbers — nothing more. Deliver insights, not reports: Not every store owner understands bounce rates, but most understand the type of person that finds their website, don't take any on-site action, and leave the site right away. In other words, a good GA consultant should not be interested in exports from GA, but insights from GA. They should be able to extrapolate data from GA, explain to store owners what it means and communicate the impact for ecommerce business owners. Typically, store owners are not interested in complex GA data, and they don't have time to read comprehensive reports — they need guidance, translation and plain english to turn data into actionable insights. There's no getting around it — highly effective (and affordable) Google Analytics consultants are difficult to come by. Luckily, there's a better way for merchants to track data they can trust and build their strategy around reliable reporting from GA. Littledata's enterprise plans offer all the benefits of a personal Google Analytics consultant along with better insights, the experience to address complex issues, and dashboards to visualise the KPIs that matter to your store. [subscribe heading="Try Littledata free for 14 days" background_color="grey" button_text="start my free trial"] Why store owners choose Littledata enterprise plans 1) Start with an audit, sail to higher revenue After all, Littledata was started as a next-gen audit tool, so it's no accident that enterprise plans begin with an audit review.   During the audit, we review your store's data gaps and tracking issues keeping you from data you can trust for actionable insights. Our audits extend across marketing channels, mobile app performance and user behaviour on your storefront and product pages.   Our Google Analytics-certified account managers ensure a smooth process through strategy, implementation and optimisation. 2) Define project goals If your store requires more than just ongoing audit fixes, we work with your team to define custom goals for the products you really want to push.   This can be something as standard as setting up Enhanced Ecommerce in Google Analytics or as complex as developing a multi-site dashboard to analyse average customer revenue by location. Either way, our enterprise plans offer complete online support for peace of mind.   3) Decision-making power throughout the process Unlike some account managers, our team is hands-on from initial GA set up to implementation.  You'll be looped in throughout the entire process with an in-app, custom dashboard that updates real-time.   If you have GA questions, enterprise customers can also communicate with our account team through online tools like Slack and Trello.   4) Always getting better Our GA team monitors your data collection for accuracy and depth before creating custom recommendations. These include step-by-step reports showing how to use your new analytics setup, how to maximise automated reporting and how to improve your marketing ROI and drive more revenue through fixed attribution. Take the first step In addition to deep experience with platforms including Shopify Plus, Magento, Demandware (Salesforce) and BigCommerce, we support and smoothly connect with the full range of popular tools for ecommerce analytics, including Google Analytics, Google Tag Manager, Segment, Facebook Pixel, and more.   Take the first step into Littledata's custom enterprise plans!

According to Baymard, 69.57% of online shoppers abandon their cart. That means that for every three people that add an item to their cart, two of those people end up not purchasing. As a store owner, this can be extremely frustrating. You’re running a business, so you want to see sales — not abandoned carts. On the other side of the coin, however, I can assure you that your customer was frustrated, and this is exactly why they abandoned their cart. While there are a million reasons why a customer would abandon their cart, there are a few common threads and factors for mounting frustration. The good news? They’re all easily measured with data and improvable with some common sense. [subscribe heading="Try Littledata free for 14 days" background_color="grey" button_text="start my free trial"] 1. Your mobile site experience sucks As an agency owner, I see a lot of websites. Yet it still surprises me how many ecommerce brands suffer from this issue. Over 50% of all traffic to ecommerce sites is coming from a mobile device, yet many brands are perfectly fine with letting their customers suffer through an almost unusable mobile experience. This is an extremely common cause of cart abandonment. If you’re curious, you can look within Google Analytics to see how many people abandon carts on different devices. While most websites are ‘responsive’ these days, that does not mean they’re usable or easily navigable. Have your parents, your siblings, or your significant other run through your online experience and try to purchase a product, and you’ll see the shortcomings in your mobile experience. Responsive design hardly considers the goals of an ecommerce website. When a store design is not user friendly, this leads to higher abandoned cart rates. 2. Your product pages don’t provide enough information The next commonality with cart abandonment is all too simple, but it’s one of the leading causes. It boils down to the customer having a question about the product: How big is it? What is it made out of? How much does shipping cost? How long until I can get it? What’s your return policy? Is it waterproof? Your product page needs to answer every question a shopper could ever have about your product. There are so many advantages to ecommerce, but the main disadvantage is that the customers are not holding that product in their hand. So, they can’t answer a lot of those questions on their own. You need to be their five senses in describing that product and your policies so that the customer can make a completely informed purchase decision. If I have more questions than answers, I’m not buying. (Not sure how to fix your product pages? You can get my 8-point guide on product page improvements by joining our mailing list here.) Some of the questions your customers have might not be obvious. Being so close to the product and the brand often puts blinders on business owners. An easy way to solve that is by asking your customers! You can use apps like Hotjar to ask your customers questions on why they’re leaving a product page. 3. Your apps, files or images are slowing down your page load speed The last issue to tackle: your page load speed. This is something that is often overlooked by people new to online businesses. If your website takes too long to load, I’m out of there. There are quite a few reasons why this would happen, but the main reasons are typically 1) too many apps and 2) content not sized properly for web. Apps are amazing, and I frequently recommend them to our clients to solve requests. What's not amazing about apps is their tendency to add bloat to your website. That’s why I highly recommend never installing an app unless you absolutely need it. The more apps you have installed, the more data that is being loaded on every page, and the slower your website will be. Uninstalling apps does not necessarily mean that the underlying code is deleted either. Take this as a warning. Additionally, oversized video and photos kill load times. I know that lifestyle photography you shot for your new collection is beautiful, but a five megabyte photo on my mountain 3G connection takes entirely too long to load, and I’m now browsing Twitter because I got fed up with your store. People are impatient. They do not want to wait, they want things instantaneously. You can view and track your site speed in Google Analytics to get some ideas on where you can improve those metrics. Ecommerce reporting and data tracking is key. Fix customer frustrations, fix your cart abandonment problem Customer frustration is the root of most abandoned carts. Your customers want a quick, mobile-friendly, simple experience — so create one! This is a guest post by Chase Clymer, Co-Founder at Electric Eye and Host of Honest Ecommerce. Chase is an ecommerce expert making brands more money every day. He's also a fan of islands, tacos, and Magic: The Gathering.

Data can be immensely useful. It can empower your decision making, change your course of action or offer insight into a better way forward. But if data is inaccurate, disorganized, or simply set up to be overwhelming, it can be distracting or even set you up for failure. So where do you start with data? As Shopify continues to develop features for enterprise ecommerce, many larger merchants are combining the plug-and-play versatility of Shopify Plus with Segment's dynamic approach to customer data. This is especially true for stores with personalised online experiences, DTC brands and products by subscription. Why? Because each of these businesses are looking to automate the customer journey as much as possible. Last week at Shopify Unite, we learned a lot. But one thing we kept noticing was how often Segment came up in discussions with Shopify partners. With that said, we wanted to take a look at some of Littledata's customers using Shopify and Segment together to supercharge growth. What is Segment? Segment is a streamlined way to clean, collect, push and pull customer data. The company has raised over $280 million and it continues to grow especially fast in the commerce vertical. Their Customer Data Infrastructure (CDI) is built around connections, protocols and personas (single user views), and the platform organizes connections in terms of sources and destinations. In other words, you can think about Segment as a single API for all of your customer data. [subscribe heading="Try the only recommended Shopify app for Segment" button_link="https://apps.shopify.com/segment-com-by-littledata" button_text="Learn More"] You probably know by now that Segment is used by major ecommerce brands like Trunk Club, which famously uses Segment to help deliver personalised style recommendations. Such advanced benefits are increasingly available to everyone. As Shopify continues to push features for enterprise ecommerce, you don't have to be front-page news to take advantage of Segment's functionality. So which mid-sized and larger brands are using Segment together with Shopify? 7 merchants using Shopify and Segment together Each of these stores are currently using Littledata's Shopify x Segment connection, which integrates Shopify with Segment automatically to ensure accurate tracking at every customer touch point. While some of these brands use the Shopify app to push data from Shopify to Segment for ecommerce reporting (with tools like Mixpanel and Amplitude), some are more focused on using data for hyper-targeted marketing automation. Others are combining these approaches for a complete, custom experience and fixed Shopify reporting. 1. Nuun Nuun was the first company to separate electrolyte replacement from carbohydrates. The result? A healthy, hydrating beverage without all of the extra sugar and additives. Nuun started ten years ago and has continued to expand to offer a variety of products for hydration and healthy living. The products are now sold in over 5,000 outlets in the USA and available in over 30 countries. We love Nuun's website because it offers subscriptions, which makes it easy to subscribe to the hydration products you rely on for sport or everyday life. 2. Unicorn Rides Unicorn Rides is the fastest transportation method within 1 mile and costs a fraction of popular scooter rental startups like Bird, Spin and Jump. Remote access (and automatic unlocking) through users' mobile phones is a feature that sets Unicorn apart from competing scooter companies. Users can also build "lists" made up of family and friends that can share their scooter. Unicorn scooters are currently available at a discounted rate of $549 for a one-time purchase. 3. ROMWOD ROMWOD stands for Range of Motion Workout of the Day. It's a Crossfit organisation with thousands of Crossfit athletes integrating its daily workouts with their own routines. ROMWOD sells apparel such as mens's and women's shirts, tanks and hoodies, as well as workout mats and other Crossfit-related accessories. While the company sells its workout routines on a monthly subscription ($13.95/month), its online shop is mainly built for one-off purchases. 4. Kin Kin is an adult beverage company selling two primary products (Kin Spritz and High Rhode). These drinks — coined "euphorics" — were created by Kin to help adults "open the mind, calm the body and connect the spirit". A 4-pack of Kin Spritz currently sells at $27, non-subscription. 5. Cellucor Cellucor sells industry-leading powder mixes, including pre-workout, post-workout and products categorized by goal such as weight loss, muscle gain and sports performance. Following their "Wherever your workout takes you" mantra, Cellucor products are meant for both on-the-go and at-home. The company offers hundreds of products, including the powders themselves, products sorted by ingredients (creatine, amino acids, etc.) and apparel for both men and women. Cellucor's cart is built on a tiered discount system — the more the user adds to their cart, the better their discount is upon checkout. The tiers include free shipping (orders of $50 or more), a 15% discount and a 20% discount on their entire order. 6. Rooster Teeth Founded in 2003, Rooster Teeth is a "pioneering media and entertainment company responsible for some of the biggest online series in history", including the award-winning web series, Red vs. Blue. The company also produces the well-acclaimed animated series RWBY, which is the first western anime series to be distributed in Japan. With over 45 million subscribers on its YouTube Network and 5 million unique monthly visitors to its RoosterTeeth.com hub, the company's online retail activity has skyrocketed — Rooster Teeth sells popular apparel, accessories, brand collections, drinkware, branded electronics and even home toys. 7. BH Cosmetics BH Cosmetics is an innovative beauty brand committed to selling cosmetics that are cruelty-free, vegan-based, rigorously-tested and affordably-priced. While the company does not offer a subscription option, they do have an affiliate program where they offer an 8% kickback for referral purchases. Are you harnessing the full power of your Shopify store? Littledata recently partnered with Segment to launch a Shopify to Segment connection that makes it easy to accurately track Shopify store performance and send those events to Segment. This frees you to connect that data to hundreds of Segment destinations like Google Analytics, Mixpanel, Salesforce and Hubspot. Later this year, we'll be diving into some case studies about how Shopify Plus merchants are using Shopify and Segment together to implement personalised shopping experiences. If you want to be considered, just head to the app store and download our Segment app for Shopify, then give us a shout. We're here to help you reach the right customers at the right time, so you have more time for the little things in life. Like riding your bike (or your Unicorn scooter).

Even for essential ecommerce data like product sales and transactions, setting up a reliable data collection system is harder than one might think. Many ecommerce marketers use Google Analytics to track performance, but it's not as simple as a "1...2...3" setup. At Littledata, we work with top apps and agencies in the Shopify ecosystem, especially Shopify Plus partners. In turn, these partners work with marketing managers, data analytics experts and ecommerce store managers across the globe. One of the questions we often receive from these managers: Why don’t my transactions in Google Analytics match those in Shopify? While a plethora of factors can cause differences in Shopify tracking results, we’ve narrowed it down to 6 main causes. 1) Orders go unrecorded in Google Analytics Why does this happen? As a Shopify store owner, your customer never sees the order confirmation page. When online orders go unrecorded in Google Analytics, it’s almost always due to payment gateways not sending users back to the order thank you page. 2) Errors occur in the Google Analytics/Google Tag Manager integration The Google Analytics/Tag Manager integration allows Google Analytics to track only a few  “micro-moments” (page visits, page bounces, etc.) required for a complete picture of your customers' online shopping journey. Though commerce connections like Shopify’s are designed to work for standard websites, some store owners build themes that are more personalised to their products. This requires a custom integration with Google Analytics. Want to know the other 4 causes?  These two issues probably seem highly fixable (they are) but they don't stand alone. There are a host of factors that cause data mismatches between Shopify and Google Analytics data, all of which threaten to weaken your marketing strategy, hurt your sales performance and damage your bottom line. Luckily, we have just the thing to help.  Our free ebook, Why your Google Analytics data doesn't match your Shopify data, isn't just an answer to the question — it's packed with details, pro tips and an ultimate solution to your data mismatches. The ebook will also show you how common tools like ReCharge and CartHook can actually skew your data (and how to fix this). The best Shopify analytics are those that are accurate and trustworthy. With the help of our ebook, you're on your way to Shopify greatness!   [subscribe heading="Get the free ebook" background_color="green" button_text="Free download" button_link="https://www.littledata.io/app/ebook-why-google-analytics-dont-match-shopify-analytics"]