No fluff, no fabricated case studies. Just the mechanics of true ROAS, return-rate lag, COGS-adjusted margin, and assisted execution, explained plainly.
Platform-reported ROAS ignores COGS, returns, and fees. Here's what the real number looks like, with a worked example.
Real-time ROAS is calculated before return data exists. Here's how that distorts budget decisions, and how to bound it.
Store-wide average COGS hides which campaigns are actually profitable. SKU-level margin is the fix.
Why fully autonomous ad-budget tools are a harder sell than they look, and what approval, caps, and rollback actually buy you.
Real-time tools react instantly to numbers that aren't finished yet. Here's why a weekly cadence fits the data better.
Meta and Klaviyo both claim credit for the same orders. Here's how that inflates ROAS and what deduplication actually requires.