Analytics and Insights

Most PPC teams run A/B tests that look scientific but produce misleading results—wrong sample sizes, premature conclusions, or too many variables changing at once. This guide breaks down how to run valid experiments in Google Ads and Meta, from isolating variables to reading statistical significance correctly, so your testing actually improves performance instead of confirming false assumptions.

Browser-based conversion tracking is failing advertisers as ad blockers, ITP restrictions, and cookie deprecation erode data accuracy. Server side tracking Google Ads offers a reliable alternative, sending conversion data directly from your server to bypass these obstacles. This guide explains how it works, why it's now essential for Smart Bidding performance, and how to implement it correctly.

Driving more traffic to your store won't guarantee revenue growth if your products, pricing, and campaigns aren't optimized for conversion. This article explores how shifting focus from traffic volume to product-level insights can unlock sustainable, scalable growth and how tools like Dotidot's Product Analytics help you identify what's actually driving profit.

Most ecommerce businesses calculate marketing ROI incorrectly by aggregating campaign performance without accounting for product margins, mix variations, or cross-channel attribution. This gap between reported and actual returns leads to misallocated budgets and missed opportunities.

We analyzed Product Analytics data from 88 e-commerce brands across Google Ads and Meta, covering 9 industry verticals in the EU and US. The findings are consistent. And uncomfortable.

Marketplaces now hold up to 34% of online beauty sales across Europe. And the gap is growing. This article breaks down where customer ownership is shifting, why it matters for your channel strategy, and what to measure to stay ahead.

Beauty e-commerce growth looks healthy on the surface. Traffic rises. New channels emerge. Social commerce expands. But profitability tells a different story. This articles s based on conclusion based on global industry researches.

Online retailers continue to lose significant revenue at the final stage of the buyer journey. This article breaks down the leading causes of cart abandonment and shows how product-level and campaign-level data insights can help you systematically identify patterns, optimize the checkout experience, and recover lost sales.