Out of stock for three months, a rating down from 4.4 to 4.1, a fifth less revenue. Thirty days after the relaunch, the same profit at 28% margin instead of 21%, with ad spend from 15% of revenue to 6%. August against August, so the season is the same.
30 days from the relaunch to the result. The comparison is August against August, a year apart, so the season is the same.
Seven steps, in the order they happened. The year between the two figures is only the comparison: the same month, so the season is the same.
Too many campaigns for one product, far too many keywords across them, budget and data spread thin. Then three months out of stock, with nothing to sell.
At the relaunch, from our own search term reports: fewer campaigns, fewer keywords. Every irrelevant term went in as a phrase negative, in every campaign. Every exact keyword got an exact negative everywhere else, so its data landed in one place.
Our target ACoS was 20 to 30%. Three rules, one per tier outside it, all on the same condition: at least 15 clicks since the last adjustment. Only the ACoS threshold changed between them.
With less volume to work with, every wasted click mattered more. Recommended first, approved by us.
The terms that kept converting got their own exact keyword as they appeared, with an exact negative in every source campaign.
Campaigns that were capped and converting got more budget before they ran out. Campaigns spending their budget badly got less.
Out of stock for three months, rating down from 4.4 to 4.1, a fifth fewer units. Thirty days after the relaunch, with the restructure done and the rules running: the same profit at 28% margin instead of 21%, with ad spend from 15% of revenue to 6%. August against August, so the season is the same. The Shopkeeper rows are below.
Same profit on a fifth less revenue. In a worse year.
Product anonymised. The result is ours, from our own account; the rule visuals use demo data.
Set up your first rule in minutes. Wake up to a log of exactly what it did.