Three separate tools converged on the same answer about what drove a strong week. All three were reading the same narrow slice of evidence, and all three were wrong.
Over a four-day window on the Yellow Leaf Hammocks account, Meta spend ran about $76,000 against roughly $5,000 on Google, a little over 6% of the total. Google reported around 131% improvement for the week against Meta's 50%, and both Shopify's own reporting and Northbeam agreed with Google's read. Three independent tools, all pointing at the smaller channel as the bigger driver.
The same week, Meta pushed roughly 42% more cold traffic into the funnel. Google's own segment breakdown shows where its extra $1,500 in spend actually went: about $1,000 more into brand search, the term people type when they already know the name, producing about $3,500 more revenue there. Non-brand spend rose a real $378, about 25%, and returned roughly $2,500, about 145%, a strong ratio on its own, just a small piece of a much larger account move. All three tools read the same class of evidence: a click or a search near the end of a journey. None of them see the demand Meta created upstream, so all three credit the channel that happened to be standing closest to the sale.
The instinct when a number looks surprising is to check it against a second tool, and here that instinct fails completely: Google, Shopify, and Northbeam converged because they share the same blind spot, not because they independently confirmed each other. A fourth pixel-based tool would likely agree too. The only check that actually works is a record built from the client's own orders, where a sale gets credited by what verifiably produced it rather than by whichever click-adjacent signal each platform happened to catch on its way past.