Omnichannel Analytics Solutions

Historically, Shopify stores using an Analytics tool had 2, limited options. They both sucked: 1. Connect your data to a plug-and-play solution with tons of templates and zero customization ability for your unique business logic (1-week set-up, quick plateau). 2. Use tools that you can fully customize...but start completely from scratch (12-month set-up, and ~$1M cost). When we were building Polar Analytics, we saw how much people were struggling with other analytics tools and knew the market needed a 3rd option. So very early on, we invested heavily in creating a Metrics Layer (Single Source of Truth). That's why our API can do something no other platform can do: Custom reporting made easy. Our customers can create a library of ecommerce metrics and dimensions and still tweak and customize them all easily. Essentially, it's the best of both worlds — templates and customization. 2 use cases that are top-of-mind here: 1. Large catalogs: Allbirds came to us with a huge catalog they needed help remodeling. It turns out no other platform could do it, so they used our API to analyze their catalog in a unique way (by gender, by color, by style, etc.) 2. Omnichannel sales As brands continue going more omnichannel in how they sell (multiple countries, sales platforms, and channels), data gets more complex over time. Our "Views" feature makes viewing your analytics across channels easy. That's how we've helped Frankie Shop, Polène Paris, or Manière De Voir internationally, online and in-store. I share more below. If you want to explore this for your ecommerce store, DM me!

Grateful to be featured in the "Shoptalk Hot Takes" interview by Blenheim Chalcot and ClickZ.com alongside George Looker to unpack omnichannel commerce. 5 key takeaways and tactics from my conversation: 1. Design for Customer Continuity, Not Just Channel Expansion 💡 71% of customers expect brands to personalize interactions across every touchpoint. Tactical: Map out customer journey across channels, then design experiences that recognize and reward continuity—cart persistence, loyalty rewards, browsing history sync, etc. 2. Build the Infrastructure: Unify Data Streams Across All Touchpoints 🧠 Data fragmentation = missed opportunity Tactical: Integrate POS, e-commerce, mobile, social, and marketplace data into a centralized data lake or unified commerce platform. 3. Establish a Single Source of Truth for Customer Profiles 🔍 Brands with unified profiles see up to 2x better campaign performance. Tactical: Implement Customer Data Platforms (CDPs) to consolidate behavioral, transactional, and engagement data into unified customer profiles. 4. Partner Strategically for Scale, Not Just Stack ⚙️ A bloated tech stack doesn’t equal agility As I noted, Retailers are getting sharper about which partners can scale with them. Ecosystem efficiency matters more than ever. Tactical Step: Audit your tech stack and partnerships consistently. Prioritize partners that offer extensibility, future-proofing, and proven omnichannel success. 5. Measure What Matters: Unified KPIs Across Commerce 📈 You can’t optimize what you don’t measure holistically Tactical: Align your analytics stack to report holistically across channels—tie marketing to merchandising, CX to LTV, and inventory to revenue. 🧠 Bottom line: think holistically, move strategically, and build ecosystems that scale experience with agility, not just transactions. Complete list in comment 👇 #ecommerce #omnichannel #unifiedcommerce

Published a case study with my client Watsons on their results testing Omni Ads when it was just a beta earlier this year Post pandemic, retail had a revenge come back But here's the problem, we kept optimizing our ads like it was 2020, last click attribution to ecommerce sales was the focus metric even for retailers So our product team at Meta started developing omnichannel ads as a solution to measure and optimise for online and offline sales Watsons Thailand was the perfect candidate for testing the beta solution as they - had 750+ stores across Thailand - was already sending offline events via CAPI - had a strong web and app ecommerce We ran a multi cell Conversion Lift Study to test: A. Their usual ads: Optimized for online purchases B. New omnichannel ads: Optimized for actual customer behavior (Online + Offline) Same creative. Same targeting. Same budget. The results? - 16.5X lift in return on ad spend for omnichannel ads, compared to usual ads optimised for purchases - 80% lower cost per conversion lift for omnichannel ads, compared to usual ads optimised for purchases - 3.4X increase in offline purchase value for omnichannel ads, compared to usual ads optimised for purchases The winners will be retailers who understand that online and offline aren't separate channels. They're different moments in the same customer journey. #meta #omniads

Q: “We operate on multiple channels - online, offline, and through wholesale partnerships. How do we unify all these data streams?” Centralize your data across channels. You need one centralized data system that connects all your sales channels; not three separate dashboards. Operating across online, offline, and wholesale partnerships creates a complex web of data. When these streams are siloed, you get a fragmented view of your business. This leads to inefficient inventory management, a disjointed customer experience, and strategies built on half-truths. To lead the market, you need a single, unified vision of your operations. Here’s how you can achieve that unified view: ➡️ Invest in a Centralized Platform: The solution lies in a centralized data lake or a unified commerce platform. This technology aggregates data from every sales touchpoint - your website, physical stores, and wholesale partners - into one cohesive system. ➡️ Create a Single Source of Truth: The ultimate goal is to establish a single source of truth for your entire operation. This gives you real-time visibility into inventory levels, a 360-degree view of consumer behavior, and accurate conversion metrics across all channels. ➡️ Drive Strategy with Insight: With unified data, you can move beyond just knowing what’s selling. You gain the power to understand where and why it’s selling, providing invaluable insights that can directly guide your design, marketing, and merchandising strategies for maximum impact. How are you tackling the challenge of unifying data in your business? Share your experiences in the comments! These are the kinds of complex challenges we solve in our Fashion Business Roundtables. Join the next session to get actionable solutions for your toughest business problems. (Link in comments) #unifiedcommerce #omnichannel #retailstrategy #dataanalytics #fashiontech #businessgrowth