G4: Retargeting Leak — Acquisition Spend Hitting Past Buyers

Data as of 17 seconds ago

Active Acquisition Adsets

19

Without Purchaser Exclusion

9

Unsuppressed Spend Share (90d, w11)

51.6%

Customer Files Wired as Exclusion

0 of 2

ZERO of 90d Meta spend hits customer-list audiences. 100% is cold acquisition — 51.6% with no exclusion at all. The retargeting_repeat bucket (adsets using customer-file custom audiences) has 0 adsets and 0 KES spend. cold_broad alone accounts for 51.6% of all 90d adset spend (978,072 KES). MaxValue_Local_All alone = 903k KES (47.7% of all adset spend), zero exclusions, Advantage+ Audience enabled. At industry-typical 15–25% past-buyer reach within unsuppressed acquisition: ~50–80k KES/mo modeled bleed to past buyers — alternative not additive to other levers.

Sources: w11 adset_insights × w1 adset_targeting cross-join. See glossary.


Spend by audience bucket (90d)

All 90d Meta spend falls into three cold-acquisition buckets. The retargeting_repeat bucket — adsets wired to customer-file custom audiences — has zero adsets and zero spend. Two customer-file audiences exist in the account but are wired to nothing.

Retargeting Bucket Breakdown — 90d Adset Spend

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Which adsets are leaking?

Of 19 active adsets, 9 have zero purchaser audience in their excluded_audiences_ids. Three are retargeting adsets (RT_*) intentionally targeting past engagers — they are excluded from this list. The 9 below are all prospecting / acquisition campaigns.

Acquisition Adsets With No Purchaser Exclusion

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Website Traffic ad set has one exclusion (Website View Content Last 14 Days) but that audience is site visitors, not purchasers. It is included here because purchasers within the view-content cohort are still reachable — no purchaser signal suppresses them.

All 19 active adsets have Advantage+ Audience enabled. This means Meta's automation can override manual targeting parameters — including exclusions — if it judges past buyers more likely to convert. Advantage+ does not guarantee that manual exclusions are honoured.

For comparison, the 10 adsets that DO exclude purchasers, and their exclusion windows:

Adsets With Purchaser Exclusions (reference)

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Even the "protected" adsets have narrow windows — mostly 7–14 days. A buyer from 30 days ago is reachable again. Only LAL_AllEvents_5% adset uses a 180-day window. No adset uses a 180-day purchaser exclusion on the local/broad acquisition campaigns. The suppression perimeter is thin even where it exists.

Claims: G4-01 (9 of 19 acquisition adsets have zero purchaser exclusion), G4-02 (all 19 adsets have Advantage+ Audience enabled — exclusion enforcement uncertain)


Per-adset spend detail

Live spend from meta_metadata__adset_insights joined to meta_metadata__adset_targeting on adset_id. Sorted by 90d spend descending to surface highest-leaking adsets first.

Per-Adset 90d Spend — Targeting × Insights Join

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Customer file upload status

Two CUSTOM (customer-file) audiences exist in the account. Neither is wired as an exclusion on any active adset. Both exist but are idle — they cannot suppress email-identified past buyers on any current campaign.

Customer-File Audiences — Status

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Claims: G4-03 (0 of 2 customer files wired as exclusion), G4-04 (customer files are 10–18 months stale)


What to fix and how

G4 Fix Actions — Ordered by Priority

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Why this matters

At 1.10x ROAS in April 2026, every impression served to a past buyer on an acquisition campaign is a misfired dollar. Past-buyer impressions in an acquisition context do one of two things: upsell (rare without a dedicated upsell creative and bid strategy) or waste reach that should have gone to a net-new prospect.

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Comparison to break-even gap: The observable March 2026 shortfall to break-even is approximately 90k KES/mo. At the mid-range bleed estimate (20%), the retargeting leak alone (~114k KES/mo) would theoretically close the gap — but this is additive to G1+G2+G3 recoveries. Do not stack all lever recoveries; the 90k gap is a single ceiling. Fixing the retargeting leak does not create 114k of new profit — it redirects budget to higher-probability new-customer impressions, improving ROAS on the acquisition campaigns where the fix is applied.