How To Run Amazon Advertising For Merch By Amazon Or KDP (Easily Rank On The Front Page- Merch Jar)

About this video

Interview (part two) with Cameron Scott on running Amazon Advertising — formerly called AMS — for Merch by Amazon and KDP. Cameron advises starting with an automatic targeting campaign to collect data, ideally only for products that have already sold organically and have reviews, since reviews improve conversion. He explains campaign structure: campaigns are containers for ad groups, all ads in an ad group share the same targeting, and placement adjustments (top of search, product pages, rest of search) are set at campaign level, so products needing different search terms or placements should be separated. The core method is granular evaluation: do not judge a campaign only at the top level; drill into the four auto targeting groups (close match, loose match, complements, substitutes) or into individual keywords, negate search terms that waste spend, and move converting search terms into manual campaigns — an auto harvesting campaign, a broad-match testing campaign, and an exact-match performance campaign — raising bids on winners and lowering or pausing losers based on clicks and target ACOS rather than spend alone. Cameron, founder of Merch Jar, says the software automates bid changes, keyword movement and negation, and was launching April 1 with a pre-launch discount; he says manual management via the ad console or bulk sheets is tedious and should be done at least weekly. They also discuss starting holiday/trend campaigns two to three months early to rank before the event, and that Merch is increasingly pay-to-play.

Key takeaways

• Start with an automatic campaign to collect data, preferably on products that already have organic sales and reviews.
• Separate ad groups by shared targeting — do not mix products like hoodies and t-shirts that should appear for different search terms.
• Judge performance granularly by targeting group, keyword and search term, not at campaign level; negate non-converting terms instead of killing a whole campaign.
• Harvest converting search terms into broad-match testing and exact-match performance campaigns, raising bids on winners below target ACOS and lowering/pausing losers.
• Cameron uses click thresholds before deciding — roughly 30-40 clicks with no sale, and 80-100 clicks if there is one sale — and recommends at least weekly bid and keyword maintenance.

Episode details: published March 31, 2021 · 1:09:01 long. Summary written by Self Growth Videos from the episode itself. Business results and any income figures mentioned are RJ Martinez’s own claims, shared for education — they are not typical or guaranteed.

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