ASIN Target Negation
Phase 2 negation review for ASIN targets matched through auto, category, and other product attribute targeting paths, with product-page overlap analysis.
or just say “run asin negation review for <brand>”
Comes with the plugin, one install activates every skill. See the install flow. Needs brand setup first.
Auto, category, and other automatic targeting paths pull in ASIN targets nobody chose, and separating the ones that are genuinely wrong-category from the ones that simply have not converted yet at this specific campaign and ad group takes a PDP-by-PDP judgment call that most reviews skip in favor of one generic low-performer bucket.
ASIN targets sorted into clean negate, review, watch, and protected buckets, judged on product-page overlap and location-specific lifetime performance rather than an account-wide average, so the account manager only has to weigh in on the ones that are genuinely ambiguous.
What your agent can do
- 01
Pull ASIN-triggered rows for a configurable window across campaigns and ad groups
- 02
Suppress ASINs already under manual targeting and flag the rest for review
- 03
Evaluate product-page and form-factor overlap to separate clean negates from review-and-watch
- 04
Join lifetime performance by campaign and ad group for context before recommending
Before you run
This skill reads a brand’s context to calibrate its output. Build it once per brand, then every teammate runs on the same shared context.
/mixshift-ai:mx-brand-context <brand>How brand setup works →- Pre-check lifetime-orders floor: the minimum lifetime orders at a location before an ASIN target is eligible to negate
- ACoS target: the reference efficiency ASIN performance is judged against
- Lane rules and protected terms: the lane boundaries and anchors read from brand context
- Manual conquest ASIN corpus: the validated competitor list new auto-discovered ASINs are checked against before being called irrelevant
As the manual conquest ASIN corpus and past PDP judgments accumulate across runs, newly auto-discovered ASINs get matched against a growing set of already-validated competitor PDPs instead of judged cold, so fewer genuinely relevant ASINs get miscalled irrelevant.