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Product updates, best practices, and e-commerce strategy from the Trivas team.
Shopify Store Performance Tracking: Why You're Flying Blind
Diagnoses 4 ways Shopify tracking fails founders (watching scoreboard not game film, conversion rate masking real problems, platform ROAS inflation, and zero retention visibility), then prescribes a 3-layer fix — GA4 funnel tracking, blended MER, and cohort repeat purchase analysis — plus the Trivas.ai Performance Gap Diagnostic.
Shopify Store Performance Tracking: 9 Best Practices for Founders
Nine best practices for Shopify performance tracking: track RPV not just conversion rate, review the funnel weekly, segment conversion rate by traffic source, use blended MER as your marketing health check, track repeat purchase rate monthly, set performance thresholds not just metrics, review top products by contribution margin, monitor AOV separately from revenue, and build a monthly one-page summary. Includes the Trivas.ai Performance Tracking Flywheel.
Why Your Shopify Analytics Are Lying to You — And How to Fix It in 2026
Most Shopify analytics setups in 2026 show founders a partial or misleading picture. This post breaks down the 6 biggest problems — from revenue without profit context to attribution that doesn't match reality — and which tools are built to fix them.
8 Best Shopify Analytics Tools for Every Stage of Growth in 2026
We ranked the 8 best Shopify analytics tools in 2026 across six key criteria — AI insights, attribution accuracy, profitability tracking, integrations, ease of use, and value for money — and mapped each to the growth stage where it delivers the most value.
Best Ecommerce Analytics Platforms in 2026: The Complete Buyer's Guide
What separates great ecommerce analytics platforms from average ones, which tools lead in different categories, and how to evaluate your options based on your store's revenue stage, channel mix, and team structure.
10 Best Ecommerce Analytics Platforms Ranked by Feature Depth & ROI in 2026
We evaluated the top 10 ecommerce analytics platforms across seven criteria — AI insights, attribution quality, profitability tracking, integration depth, real-time capability, ease of use, and value for money — then ranked them by overall capability, ROI, and fit for different business stages.
The Next Wave of AI Ecommerce Insights: What's Coming in 2026 and Beyond
What feels cutting-edge in AI ecommerce today will be baseline in 18 months. The stores that win won't be those using AI for the first time — they'll be those using the next generation of AI capabilities while competitors are still catching up. Here are the 6 major trends reshaping AI ecommerce insights.
7 Things Your Polar Analytics Alternative Must Do (Or Don't Switch)
Before you switch analytics tools, run this checklist. 7 non-negotiables every Polar Analytics alternative needs to pass for DTC brands in 2025.
Ecommerce Business Intelligence: The Complete Guide
Everything you need to know about ecommerce business intelligence — what it is, why it matters, and how to use it to grow your store faster.
Drowning in Data, Starving for Answers? Here's Why
If your ecommerce dashboards are full but your decisions still feel like guesswork, this is why — and exactly how to fix it with the right BI approach.
6 Ecommerce Business Intelligence Myths That Are Costing You
Think BI is only for big brands? Think your current setup is good enough? These 6 common myths about ecommerce business intelligence are holding brands back.
Real Time Ecommerce Analytics: Why "Later" Is Costing You Now
Every hour you're running your store on yesterday's data is an hour of decisions made without the full picture. Here's what that's actually costing you — and the fix.