Black Friday and Cyber Monday, often referred to as BFCM, make up the biggest weekend in the calendar year for ecommerce stores. With sales topping $10B in 2018, that number is widely expected to increase in 2019, especially with this year’s dates falling much closer to payday. The pie is very large indeed, and every Shopify and Shopify Plus merchant wants a piece. But to reap the benefits of BFCM and enjoy a big sales weekend, there is much preparation necessary, including using the entire ecommerce marketing toolbox.  Here are four foolproof tips for a successful BFCM weekend for your Shopify store. These tips are especially relevant for Shopify Plus merchants, as the competition is really heating up this year, with more money on the table--to win or to lose. Especially with the help of accurate reporting, you can make the largest gains without drowning under increased customer demand. Make data-driven decisions to drive ROI With increased competition to gain the attention of potential customers, tight marketing budgets and high customer acquisition costs, the dependence on high-quality data has never been more crucial. The foundation of your planning should be driven by analysis on your customers, their personas, their buying habits and their digital behaviour.   Using historical data of your customers with the highest lifetime value (LTV) and the lowest customer acquisition cost (CAC), you can refine your target audience ahead of BFCM in order to drive high-volume, targeted traffic to your store with campaigns that have the highest potential ROI. Google Analytics is a great place to start your digging. With the raw data in GA, you can build reports in Google Data Studio, which will display the metrics you need to build your audiences.  Littledata’s Shopify app does just that. By ensuring your store data is 100% accurate when you see it in Google Analytics, the app helps Shopify and Shopify Plus stores make better, data-driven decisions before, during and after BFCM sales. [subscribe] Focus on remarketing campaigns It’s more than likely your prospective customers are already shopping around and conducting product research ahead of BFCM.  Most online shoppers in 2019 make smarter purchasing decisions and spend more time finding both the right product and the best deal before making purchases.  Engaged customers who have already visited your store and are familiar with your brand are more likely to purchase from you. They’ll also have a lower CAC and higher conversion rates.  Data-driven retargeting campaigns on Facebook Ads, Google Display Network and Twitter Ads will give you the best ROI, which is why planning ahead and collecting accurate data in the weeks leading up to BFCM is crucial.  Pay particular attention to recent email subscribers, abandoned cart users and frequently returning visitors — these are the people with your product fresh in mind. Optimize your site with A/B tests Test, test and test again. Whilst many ecommerce businesses make large changes once or twice a year, the most successful stores are continuously testing and optimising small changes, which lead to big results over time.  Optimising your Shopify or Shopify Plus store in the weeks leading up to BFCM is critical; spend time running A/B tests with tools like Google Optimize, which allows you to seamlessly run multivariate tests and property tests. With these types of test results for your product pages and CTAs, you’ll have sufficient data to either prove or discount your assumptions on user behaviour and web design elements like button color, calls to action, site copy and more.  The best marketers never assume or guess shopper tendencies; instead, use measurable data from A/B testing to make data-driven decisions. You data should also inform the types of tests you run. For example, if 70% of your traffic is coming from mobile, then spend most of your time optimising and testing for mobile.  If you actually are optimising for mobile, some quick tips: make sure your navigation is clear and easy to use and the checkout is smooth. Shopify data shows that more purchases were made on mobile than desktop in both 2017 and 2018. Supercharge your page speed Website speed is incredibly important for BFCM.  Shoppers are looking to get in quick and are more likely to leave your store with a load time over three seconds. To combat slow-loading pages (including your Shopify product pages), use tools like Google Lighthouse and Page Speed Test to get a loose idea of your average site performance.  [note] For a more in-depth benchmark and for step-by-step tips on improving page speed, check out this recent case study.[/note] Small fixes such as compressing images and videos can help, but some stores go further — shutting off all non-essential apps or creating superfast AMP landing pages just for BFCM weekend.  The oft-forgotten speed metric? Your customer support response time. With a mammoth increase in traffic and more orders coming through your pipeline, you’re bound to see a spike in customer inquiries. It may be necessary to increase your support team size for BFCM in order to deal with these requests quickly. This will help ensure that no inquiry goes untouched and your cart abandonment rate is minimised.   [note] Cart abandonment is no joke, especially on the biggest day of the year for online retail. Check out these 8 tips for minimising your cart abandonment.[/note] Get the most out of BFCM with data you can trust In order to make the most of BFCM, Shopify stores and Shopify Plus stores need to plan ahead this month to ensure they’re working from trustworthy data.  Not only does data drive persona building and decision-making, but it’s the bedrock for successful ecommerce.  Littledata’s Shopify app provides the data solution that merchants need for everyday store performance, accurate marketing attribution and user behaviour trends.  Try Littledata for free today so you have plenty of time to operate with accurate data before BFCM — it’s just around the corner! Installing the app takes just 5 minutes, and you’ll see accurate numbers in Google Analytics within 24 hours.  [subscribe]

We're excited to be sponsoring the next Shopify Meetup Hoboken, hosted by our friends at Refersion! The New Jersey ecommerce meetup is a great way for Shopify and Shopify Plus merchants to share ideas, hear insight from leading ecommerce managers, and learn from each other. Will we see you there? About the event The Shopify meetup in Hoboken is a great way to connect with top merchants and learn from each other about how to scale an ecommerce business. This month's question: How Do You Acquire Customers? Learn firsthand from other Shopify merchants as they share their challenges and creative solutions to finding new customers online. Speakers Terrence Kelleman, Inventor & Founder, DYNOMIGHTY Zel Crampton, CEO & Founder, Diggs Carl & Ewelina Augustin, Founders, The Vegan Warehouse [note]Did you know? Littledata's Shopify app fixes tracking automatically, with smart connections for Google Analytics, ReCharge, Refersion and more.[/note] Sponsors   This month's event sponsors are Littledata, EasyShip and P3 Media. (Using EasyShip for international ecommerce shipments? Check out our multi-currency tracking for Shopify stores.)   Tickets   Get tickets HERE    

Marketers understand why it’s critical to target customers with the right message at the right time.  For product marketers and ecommerce managers, SMS is an increasingly essential part of multi-channel marketing — especially with a mobile-first online retail market. In this article, we’ll summarize 6 benefits you may not know about SMS marketing. We’ll also outline how to use SMS effectively for better lead acquisition, closing rates and customer loyalty for your Shopify or Shopify Plus store.  By the end, we hope you’re ready to integrate SMS marketing right away!  1) SMS is one of the most immediate channels available SMS (a.k.a. text message marketing) is perhaps the most direct route to customers when it comes to D2C marketing. With a 98% open rate and a 5x click rate compared to other channels (such as email marketing), SMS is a more casual and less threatening channel for customers.  Not only do standalone SMS campaigns have a high success rate and proven ROI for Shopify merchants, but they also enhance and support other marketing channels like email and social marketing. As mobile shopping activity continues to rise, shoppers expect to receive offers, discounts, consultations and other promos through mobile messaging. 2) SMS can help you recover lost sales Merchants not utilizing SMS as part of a mobile marketing strategy are missing out on building direct relationships with customers. As a result, this could mean sacrificing sales.  Littledata found that, on average, nearly 60% of mobile shoppers abandon their carts before completing checkout. [subscribe] Many of these incomplete checkouts may be due to unanswered questions. And while automated messaging may not solve these barriers to purchase, it can certainly reengage shoppers through incentives or simple reminders to complete their checkout.  3) SMS helps you better understand your customers You can learn more about the purchasing behavior of your customers by studying back-and-forth conversations.  For example, SaveMySales is a performance SMS marketing app that offers a dashboard showing customer conversions from which merchants can track trends, like commonly asked questions or concerns preventing them from purchasing.  This type of insight helps merchants understand the customer journey (and blockers) their customers face, which can lead to better Shopify conversion rates. 4) SMS will increase customer engagement SMS marketing can help you directly build 1:1 relationships and trust with your customers.  Shoppers appreciate messages that make them feel valued or special, especially when messages include personalized responses from real humans that solves their barrier to purchase.  Whether shoppers are casually browsing before a first-time purchase or they are returning for a repeat purchase, shoppers are more likely to buy when they experience a level of brand trust. 5) Full-service SMS marketing for Shopify merchants SaveMySales is the only human SMS marketing solution that acquires subscribers, sends messages, and replies back to shoppers.  By combining AI with the world’s best live agents, the company has created the most personal marketing channel ever. The platform drives up to 20% increases sales for Shopify stores by answering questions, providing suggestions, offering deals, and up-selling. Some of the best features include but are not limited to: Building SMS marketing lists - the Opt-In Pop-Up enables brands to quickly acquire SMS subscribers from their website Abandoned checkout recovery - brands can recover lost sales by connecting shoppers directly with a live agent that can answer questions and remove barriers to purchasing Interactive SMS campaigns - brands can rapidly build a subscriber list and talk to thousands of shoppers at once with beautiful, segmented outreach We recommend Shopify stores use SaveMySales as part of their ecommerce multichannel strategy for engaging with shoppers at every stage of the purchasing funnel — not only because it’s a proven method, but also because it offers the peace of mind shoppers want.  6) Without proper tracking, it’s all for naught While you’re building this high-converting engagement channel for your brand, for Shopify and Shopify Plus merchants, one thing matters just as much as engagement — tracking each step of the customer journey.  Luckily, Littledata’s smart analytics app for Shopify connects your store data to Google Analytics or Segment, and tracks every event, from casual product page clicks to final purchase. It's automatic tracking our merchants can trust. If you're on Shopify Plus, check out an enterprise plan to get a dedicated account manager to help with data setup, reporting and optimization. Thinking into the future SMS marketing is becoming an increasingly essential channel as a direct line of communication to get in front of shoppers, recover lost sales, understand customers, and increase customer engagement.  SMS can be used as part of a multi-channel strategy for engaging with customers at each stage of the customer funnel to help increase conversions and ROI for your Shopify store.  We recommend using SaveMySales to build the most personalized SMS marketing strategy that will impress your customers and help them build a relationship with your brand.   This is a guest post by Cindy Le from SaveMySales, a performance SMS marketing app for Shopify and Shopify Plus stores.

An increasing number of ecommerce brands are using Shopify Plus to manage international stores and sell in multiple currencies. Since there are a few setups you may have, here are my recommendations in each case to get the most versatile reporting in Google Analytics (GA).  For a single store accepting multi-currency Littledata’s enhanced Shopify tracking already handles multi-currencies at all stages of the shopping journey.  We recommend you have just a single web property and single view in Google Analytics. Our audit checks will make sure the currency you have set up for this view matches your Shopify store currency. For multiple stores, with different default currencies (GA standard) I recommend you set up a single web property, but with different Google Analytics views for each country store. You can create one ‘All countries’ view in the same currency as your company’s default reporting, and then each country store would need filters set up to include traffic only from that country. Here's how to set up the filters: Go to the Admin section in Google Analytics, and click Filters under the View settings Then click to ADD Filter Then set up a filter to include traffic only from this store’s hostname Then Save the filter This could be tricky if you use a third-party checkout, where the hostname will be shared across stores (see below). Each country view in Google Analytics would have the same currency and timezone set as the Shopify store, so you can compare like-for-like orders. In Littledata, you would create different accounts for each country store and be able to audit and benchmark your stores' performances separately. Multiple stores, with different default currencies (GA 360)  With GA 360, you have the added flexibility of being able to setup a roll-up property, combining ecommerce events from multiple properties. So you have two options:  Go with the same solution as for GA Standard. The advantage here is that with a single web property, you can easily track visitors as they move between your country stores (i.e. if users are directed to a country after seeing a marketing campaign, you can still attribute the marketing campaign as they move to a different store). Set up a separate web property for each country store, and roll-up into a group property. The advantage here: your data is clean, but you can’t track cross-country visitors. Option 2 is going to work better if you leverage third party checkouts like ReCharge Payments or Bold Cashier, where it may be hard to filter out the traffic from only one country. If you're not sure what to think of this, don't fret — Littledata's analytics team can guide you in multi-site setup with an Enterprise plan, so please reach out if you're feeling confused. [subscribe] Multicurrency support for Shopify If your store presents prices in multiple currencies using Shopify Payment’s multi-currency feature, then Littledata’s app is 100% compatible with multi-currency. Here’s how it works for different parts of the data processing. We use Shopify’s definition of ‘presentment currency’ and ‘shop currency’. Storefront data layer All prices for products in the LittledataLayer and dataLayer variables will be in shop currency, regardless of the presentment currency. This includes the add-to-cart events handled by Littledata’s servers. Checkout steps Prices are sent in the presented currency and converted by Google Analytics (or Segment) to the target currency at current exchange rates. Orders & Refunds All orders and refunded items are sent to Google Analytics in the shop currency. Multiple country stores sending to one web property If you have multiple country stores, with different shop currencies, all sending data to a single web property in Google Analytics, this is also handled by our tracking script.

One of the challenges subscription businesses face is differentiating between order types.  The problem For Shopify merchants, offering single purchase options complicates things even more — with single purchase options, order data will show in two places (Shopify and ReCharge). This leads to a major disconnect between user behaviour and orders, unable to leverage the full potential of Google Analytics.  At this point, you probably have a multitude of “known unknowns”, such as: Which traffic sources drive more first time subscription orders? What's my conversion rate on one time purchases? What's my average customer lifetime value (CLV or LTV)? Do my one time purchasers end up converting to subscribers? What's my churn rate month over month? The solution Bridging the gap with Littledata Littledata helps bridge different platforms by linking orders betweenShopify, ReCharge and Google Analytics.  [subscribe] Differentiating between order types With Littledata’s improved tracker, merchants can differentiate between order types. For this, we use the Affiliation dimension.  In the Google Analytics report, it will look something like this:  Right away, this information answers a few questions: What is the distribution between my order types? Are my recurring subscription orders growing month over month? Is the average order value (AOV) of subscribers higher than that of one time purchasers?  Both of these can be viewed in this custom report. What traffic sources drive the most sales?  One of the questions our team is asked most often is what sources of traffic drive the most subscription orders?  Short answer: the Affiliation dimension can be used as a secondary dimension in the source/medium reports, or use this custom report.  By using filters to single out an order type, you can easily determine what traffic sources drive the most first time subscription orders. Segment more Segmentation opens up new ways to look at the data as well. Creating two segments for one time purchases and first subscription purchases, you can see how the two types of purchases differ.  Look for behavioural differences like:  Do One Time purchasers AOV higher or lower compared to First Subscription orders? Are users testing the product first and then committing to a subscription?  Littledata custom dimensions Google Analytics custom dimensions are an excellent way to expand your data collection and reporting power. With our Shopify app, Littledata adds these custom dimensions: Littledata - Shopify Customer ID Littledata - Last Transaction Date Littledata - Purchase Count Littledata - Lifetime Revenue Littledata - Payment Gateway With the help of these custom dimensions, we can answer the following questions:  What's my median customer lifetime value (CLV)? How many purchases do customers make in their lifetime? What's my churn rate month over month? Since these are custom dimensions, they cannot be aggregated on Google Analytics, meaning the data will need to be displayed using a different method. For this, we’ll use Google Sheets with the Google Analytics add-on to query the data and pivot tables.  Step1 - Query all the data you need Metrics Avg. Order Value Revenue Dimensions Littledata - Shopify Customer ID  Littledata - Lifetime Revenue Littledata - Purchase Count Affiliation - to differentiate between the order types.  It should look something like this:  In this case, the custom dimensions are at index 4, 6 and 8. This may differ depending on your setup.  Step 2 - Run the report After you run the report, this will create another sheet in your document. It will look something like this:  Step 3 - Create a pivot table  In the rows section, add the Affiliation dimension to differentiate between the order types.  Shopify will mean a one time purchase (normal purchase). The other two order types are the first subscription order and recurring order.  In the values area, add:  The user IDs summarised by countunique The customer lifetime value summarised by median so that we have the median LTV. We use median over average so that this number is not influenced too much by the outliers.  Purchase count summarised by median.  Average order value  The end result should look something like this:  Step 4 - Interpret the data In this report, we can instantly draw some conclusions:  Most customers make single purchases rather than subscribing  Subscription first order median purchase is 2, so this means users have purchased in the past before committing to a subscription Subscribers purchase 8 times (median value), with a median CLV is around $500.  How to take this further Since we know most customers order at least once before committing to a subscription, we can calculate the average number of days between a single purchase and a first subscription purchase.  When you’re armed with that type of information, you can adjust your email marketing flows accordingly and adjust your remarketing campaigns to shorten or lengthen the number of days your ads show to leads.  With the help of the Customer IDs, we can also calculate the month over month churn rate (we’ll get to that in a follow-up post). It's your turn now How do you use these additional events and custom dimensions in your segmentation?  What was your biggest insight using these events and custom dimensions?  How did it influence your marketing campaigns? Share your experience (and current approach with GA) via the live chat in the bottom corner. I'm curious about the different ways you make use of these additional data points! In the meantime, our team is here at the ChargeXSummit in Santa Monica sharing all about our ReCharge connection for subscription-based stores.

We often get asked if Littledata works with certain reporting tools that are popular among merchants. Here's the short answer: if your tool can pull data from Google Analytics or Segment, then our smart connections will help you get accurate data to use with those reporting or data insight tools. Here’s exactly how we work with each platform. The Establishment These are the main ecommerce reporting tools. If you're using one of these tools, you're in luck. Littledata integrates with them automatically. These products include: Google Analytics Google Data Studio Tableau Segment Power BI Read on to see how Littledata works with these data insights tools to improve the accuracy of your data and the usefulness of your reporting. Google Analytics The world’s most popular analytics tool gets even better when paired with Littledata’s smart connections and full audit to enhance the ecommerce event data captured from your store. GA is the core tool to which Littledata connects, allowing you to connect to other dashboards below, such as Tableau and Data Studio. [subscribe] Segment Segment’s data pipeline is a trusted way to get analytics from one platform into dozens of others without complex engineering. Our source for Shopify and Shopify Plus helps you automatically send ecommerce events into any of Segment’s hundreds of destinations. Once the Segment connection is set up, you never lift a finger. Google Data Studio Data Studio is our dashboard tool of choice for more custom-designed reports.  Because Data Studio integrates with Google Analytics, Littledata’s connections can all be exported from GA into Data Studio. While it can be slow to generate reports at scale, its unlimited free reporting makes it hard to beat for ad-hoc analysis. [note]Have you done something unique with Data Studio and Littledata? We'd love to hear about it. Reach out and let us know.[/note] Tableau Tableau, now part of the Salesforce family, was one of the first tools to provide a smart, easy setup dashboard. Their connection with Google Analytics is well established, and as with Data Studio you can access the Littledata events from there. Power BI Microsoft’s popular reporting tool can also import data from Google Analytics, so anything Littledata pushes to GA is available in Power BI. Power BI is especially useful if you want to visually explore your ecommerce data, as the platform offers interactive visualizations and a range of business intelligence (BI) insights. They also allow on-premises report deployment (behind a firewall), which is great for larger brands with large in-house teams. Newer solutions In addition to the 'establishment' above, Littledata seamlessly integrates with a number of newer reporting tools that offer Google Analytics insights and visualizations. These apps and reporting tools include: Glew Glow Yaguara These tools are especially popular with Shopify and Shopify Plus stores. Glew Glew provides some cleverly-curated ecommerce reports, but any of the underlying data on marketing attribution or customer behaviour pulled from Google Analytics will require Littledata’s improved tracking for full accuracy. Here’s a more detailed guide of the differences between Glew and Littledata. Grow Grow is a newer dashboard tool with hundreds of reporting sources, of which Google Analytics is their ‘most popular’. While some of the detail from Littledata’s connections may be lost in ‘basic reporting’ from GA, their multi-channel marketing reports are useful. Yaguara Yagura provides a series of templates to gain insights into your ecommerce business. One of their key integrations is with Google Analytics, and so the extra insights from Littledata’s tracking can be pulled into a Yaguara dashboard. Tools we don't work with directly The following tools don't connect with Littledata, and we aren't planning an integration. Conversific Conversific is an analytics tool for Shopify, with similar reporting to Littledata. While Conversific doesn’t offer the same smart connections as Littledata, it’s unlikely you’d need to use the two together. Metrilo Metrilo offers to optimize marketing channels for ecommerce. While their guide says Metrilo is a good alternative to Google Analytics, it won’t replace the reporting that Littledata provides. Zaius Zaius is an ecommerce CRM, allowing you to personalise and automate marketing based on customer interactions. As such, it needs its own event data capture, and can’t integrate with Littledata reporting. [note]Have you built custom reports using Littledata? We'd love to hear about it. Give us a shout and let us know.[/note]

By now I'm sure you've heard of Refersion. They're on a mission to make advanced affiliate marketing accessible to every online store. Littledata's Refersion integration quickly became one of our most popular connections since first launching it in the early days of our first Shopify app. Why? Because... It works automatically The need for accurate data grows exponentially as your affiliate campaigns take off! If you're thinking of using Refersion or getting started with Littledata (or both), I'll offer a brief overview plus 10 great examples of ecommerce sites using Refersion to outperform the competition. What is Refersion? Refersion is smart affiliate marketing. They make it easy to manage, track and grow your affiliate network and promotions. Refersion offers: A personalised affiliate portal Unlimited commission structures Easy ecommerce platform integrations Automatic approvals for affiliates & orders And much more... ...which is all really awesome. But how do you know if those affiliate campaigns are leading to the right kinds of sales? What's the lifetime value from each campaign or affiliate? [subscribe heading="Integrate Shopify, Refersion and Google Analytics"] The answer is simple: the most successful sites using Refersion also use Littledata to power their analytics. Littledata's Refersion connection makes it easy to track affiliate marketing ROI in Google Analytics, so you can do whatever you want with the data. Benefits of the advanced Refersion-Google Analytics integration include: Accurate tracking for affiliate marketing channels and campaigns Detailed analytics about sales, refunds, user behaviour and product performance Smart audit to check for accurate tracking Benchmarks against other ecommerce sites Without further ado, let's get into some great examples of top ecommerce sites using Refersion. [note]Did you know that Littledata and Refersion both now integrate with Segment?[/note] 10 merchants using Refersion for ecommerce growth 1. Bokksu Bokksu is a popular Japanese snack subscription that handpicks snacks Japanese people eat regularly and curate them into themed monthly box deliveries. Bokksu is also the only Japanese subscription box that includes a Tea Pairing designed to complement each month's snack selections.  2. Primally Pure Primally Pure is a skincare company offering 100% natural and toxin-free products that support "radiant skin, a healthy body + a happy self." The company sells a variety of body oils, natural deodorants, facial sprays and more. They also have a flourishing influencer community which they use to promote product incentives, referral programs, loyalty programs and more. 3. Athletic Greens Athletic Greens spent 10 years of research to develop a tasty supplement drink with better nutritional density than anything else on the market. With 75 vitamins, minerals and carefully sourced ingredients, the company is a leader in the fast-growing nutritional supplement industry.  But here's what really sets them apart. As a subscription-based company, they only sell their product online to monthly subscribers, which they call ‘long term nutritional insurance plans’. They also run their online storefront on Shopify and use ReCharge for managing subscriptions, which helps them maintain a smooth operations flow and make decisions based on consistent, accurate data. Learn more about how Athletic Greens continues to grow. 4. CultureFly For fans of pop culture both casual and extreme, CultureFly creates subscription boxes, collectibles, and apparel. They also sell apparel for both men and women, valuable collectibles and accessories from pet outfits to headwear. Partner brands include Pusheen, Nickelodeon, Cartoon Network, Game of Thrones and more. 5. Rocketbook Rocketbook, AKA "The Neverending Notebook" is designed for classrooms, offices and personal work items. The company's most popular product, The Fusion, is a reusable pen and paper notebook with seven different page templates that connect to cloud services like Google Drive, Dropbox, Evernote, Slack, iCloud, Apple Mail and more. The notebook has "42 pages packed with calendars, to-do lists, and notetaking layouts." 6. Pura Vida Pura Vida is a jewelry store founded in Costa Rica that helps provide full-time jobs for "artisans worldwide." Many of company's bracelets, rings, necklaces and accessories are handmade. 7. Dry Farm Wines Dry Farm Wines make and sell artisan, handcrafted wines that are "the only health-focused Natural Wines in the world." Their wines are free of chemicals and artificial additives, sugar-free and contain low alcohol content. 8. DX Racer DX Racer manufactures and sells popular gaming chairs and office chairs. They also offer a line of computer desks, branded accessories and apparel.  9. KontrolFreek KontrolFreek develops performance gaming gear and controller accessories for serious gamers. They sell performance thumbsticks and gear for PlayStation, Xbox and other popular gaming systems. 10. Luxe Fitness Luxe Fitness is an Australia-based collagen protein supplement for women. The company sells supplements, such as vegan protein powder, keto-friendly powder, an ice cream mix, a matcha mix and daily protein capsules. 

Shopify recently announced it will be delisting Beeketing apps from its store. Beeketing builds a popular range of marketing automation apps to improve on-site conversion on ecommerce stores. Shopify’s official statement says this was due to violations including “inadequate support for merchants and abuse of our marketing tools”. But was it also due to the apps' poor performance? [subscribe] To investigate, we looked at the July conversion rate for 115 stores using Beeketing’s apps versus 884 similar stores that did not use these plugins. We found that the median ecommerce conversion for stores using Beeketing apps was lower at 1.4% versus 1.6% for stores without their apps. At 10%, this confidence level is a significant differential. Although we found Beeketing apps increased add-to-cart rate (5.3% rate for Beeketing stores vs 4.2% without), this was not significant — it was based on a smaller sample of only 15 stores using Beeketing with add-to-cart rate tracked. What it means We can’t tell exactly which Beeketing apps these stores are using. However, we'd conclude that the seller urgency and intervening sales popups they are famous for might boost initial engagement, but don't help eventual purchasing. In delisting the apps, Shopify is likely not harming their merchants’ ability to sell. Speaking of ability to sell, did you know we've built a robust ecommerce benchmarking tool for merchants? Know where you stand with website benchmarks by industry and benchmark your own site with Littledata’s free optimisation tools.