Seeds
Why did my Meta Ads ROAS drop?
Meta ROAS drops for three core reasons: data loss (ad blockers, iOS 14.5+ opt-outs, and Safari ITP reduce attributed conversions by 30–40%), algorithm instability (underfed...
Why does GA4 show different numbers than Meta Ads?
GA4 and Meta Ads use different attribution models, different counting windows, and different identities. GA4 counts sessions from last-click by default; Meta claims credit for...
Why is Meta Advantage+ stuck in the learning phase?
Meta's learning phase requires ~50 optimization events per ad set per week to exit. Advantage+ campaigns get stuck when: conversion volume is too low for...
Why are my Facebook ads not converting?
Facebook ads fail to convert for four interconnected reasons: broken or incomplete tracking (Meta can't optimize what it can't measure), poor CAPI data quality (missing...
How do I improve my CAPI setup for WooCommerce?
To improve CAPI for WooCommerce: (1) Send hashed email and phone with every purchase event — these are the highest-EMQ identifiers. (2) Include fbclid (Facebook...
What is Meta Opportunity Score and why does it matter for campaign performance?
Meta Opportunity Score is a diagnostic metric in Meta Ads Manager (0–100) that rates how well your ad account setup follows Meta's recommended best practices....
Why is Google Performance Max underperforming?
Performance Max underperforms when it has insufficient conversion signals, weak audience inputs, or low-quality creative assets. PMax needs 30–50 conversions per month minimum to optimize,...
How does iOS tracking affect Meta ad performance?
iOS 14.5+ App Tracking Transparency (ATT) requires apps including Facebook and Instagram to request permission before tracking users across apps and websites. Over 75% of...
What is Event Match Quality and why does my score matter?
Event Match Quality (EMQ) is Meta's 0–10 score rating how accurately your CAPI conversion events match real Facebook user profiles. Higher EMQ means more conversions...
What data does AI actually need to give useful marketing recommendations?
AI marketing tools need four data layers to give reliable recommendations: complete behavioral data (all events, not just unconverted sessions), accurate transactional data (server-side purchase...
Why do businesses get poor results from AI tools despite investing in them?
Businesses get poor AI results because the data feeding their tools is incomplete, inconsistent, or siloed — not because the AI itself is weak. Gartner...
How does missing ecommerce tracking data affect AI-powered ad optimization?
When purchase events are missing from your tracking data, AI ad optimization tools build lookalike audiences, budget allocation models, and ROAS predictions from an incomplete...