Spend without growth
Test whether new campaigns shifted attribution or added genuinely incremental traffic and orders.
Agents
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Failed or incomplete first runs are refundedAmazon Ad Cannibalization Analysis
Find whether Amazon ad growth is incremental or internal competition
Check overlap first, then diagnose exposure, click, conversion, and economics in causal order from evidence you provide.
What the Agent prepares
- An overlap and cannibalization evidence matrix
- A causal funnel diagnosis in exposure, click, conversion, and economics order
- Facts, hypotheses, unknowns, and alternative explanations
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Diagnose traffic overlap before changing every funnel lever
Share the marketplace, comparison windows, campaign goals, search-term, ASIN, audience, placement, variant, funnel, organic, and economics evidence. The Agent first tests whether campaigns are competing for the same demand.
Only after overlap is addressed does it trace missing exposure, clicks, conversion, or profit. The result separates facts, causal hypotheses, unknowns, actions, review points, and stop conditions without inventing incrementality.
Use it for
Campaign overlap
Find duplicated search terms, ASINs, audiences, placements, variants, and objectives.
Funnel diagnosis
Prioritize exposure, click, conversion, or economics causes after traffic boundaries are clear.
Example task
Explain why spend rose but total orders did not
What the Agent prepares
- An overlap and cannibalization evidence matrix
- A causal funnel diagnosis in exposure, click, conversion, and economics order
- Facts, hypotheses, unknowns, and alternative explanations
- Prioritized actions with review points, rollback, and stop conditions
How it works
Fix comparable windows
Align dates, attribution, product state, promotions, inventory, and total-account measures.
Test overlap first
Check duplicated traffic, objectives, variants, and attribution before treating higher activity as incremental demand.
Trace the remaining funnel
Diagnose exposure, click, conversion, and economics one branch at a time with explicit evidence.
Causal order without fabricated attribution
- The Agent does not invent missing campaign, organic, attribution, conversion, price, cost, or incrementality evidence.
- Correlation between a campaign change and an outcome is not treated as proof of causality.
- A human reviews campaign edits, bids, budgets, negatives, listing changes, and the final business decision.
Frequently asked questions
What does advertising cannibalization mean here?
It means campaigns may compete for or reattribute existing traffic and orders instead of creating additional demand.
Why check overlap before conversion?
If the same traffic is split across campaigns, changing bids, images, and price at once hides the actual cause and makes results harder to interpret.
Can it prove incremental orders from an export?
Usually not by itself. It can identify supporting and conflicting evidence, but missing experiment or attribution evidence remains unknown.
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