Amazon PPC with Abe Chomali - Standard Campaign Setup, Catch-all Campaigns, Product Targeting
About this video
Hi everyone,
In today's interview, I chat with Abe Chomali from xpstrategy.com
Abe shared with me a couple of important tips and tricks on Amazon:
1) Abe shares his rich experience with selling online even before the internet came along :)
2) Abe shares the most important advice for all sellers, why every SKU needs to have its own ad group 7:50
3) standard campaign setup that they use to figure out where the product fits in the marketplace 11:19
4) The concept of "catch-all" campaigns explained in detail 13:03
5) Abe's advice regarding product targeting 22:15
6) Profit-first approach to advertising 28:30
7) Abe's impressions from the ASGTG event this year 35:10
8) Perspectives of listing on Walmart this year, and the insights on upcoming e-commerce platforms - Walmart and Google 45:20
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Transcript
Frequently asked questions
Why should each SKU have its own ad group in Amazon PPC campaigns?
When multiple products share a single ad group, the search term report only tells you how terms are performing at the group level, not which specific product they matched to. If you have red, green, and blue variations of the same item in one group and a particular search term is converting well or burning budget, you cannot tell which variant is responsible. Giving each SKU its own group means every data point in your reports maps to a single product, so bid adjustments, negatives, and budget decisions are based on clear, actionable information rather than blended numbers you cannot interpret.
What is the standard campaign setup to use when starting to advertise a new product?
A solid starting structure for any new product is four campaigns: one automatic, one broad match, one phrase match, and one exact match. Keeping the match types in separate campaigns rather than grouping them together makes it possible to control budgets independently for each and to make bid and placement adjustments without one match type interfering with the others. Once you have gathered enough data from these four, you can evaluate whether to add product targeting, Sponsored Brands, or display campaigns on top.
Is it risky to restructure campaigns that are already performing well?
Yes, and the risk is real enough that rebuilding everything at once is generally a mistake. Amazon assigns weight to a campaign's historical performance, so new campaigns start without that accumulated quality signal and often underperform initially even when the structure is technically superior. The recommended approach is to identify the best-performing campaigns and leave them untouched, then gradually add new structured campaigns alongside them for the products that need fixing. Pausing weak campaigns and isolating strong SKUs into their own structures incrementally is far safer than a full rebuild.
How does product targeting work, and what is the best way to decide which ASINs to target?
The most reliable signal comes from your own auto campaign reports. When Amazon shows your product on a competitor's detail page and it converts, it has already told you that you are relevant to that audience. The next step is to turn that into an intentional product targeting campaign on those specific ASINs, because you know from real data that it works. A secondary approach is to manually identify competitors with significantly fewer reviews and higher prices than your own listing, where your conversion odds are favorable. A third use case is targeting your own product variations against each other to occupy more of the sponsored slots in the carousel on your own pages, which keeps shoppers within your brand rather than directing them to a competitor.
What is the risk of advertising a bundle or higher-priced variation too aggressively?
If a bundle or premium variant captures the top ad placements for a search term, it can suppress visibility for your core product, which is typically the higher-volume, more competitively priced item. Shoppers who would have bought the individual product now see the more expensive option first and may leave without purchasing either. The practical solution is to manage bundles and individual products with separate budgets and campaigns, analyze their performance independently, and avoid letting bundle campaigns compete directly for the same top-of-search placements your main listing depends on.
How long should a seller give PPC campaigns before deciding whether they are working?
At minimum, enough data needs to accumulate to draw a meaningful conclusion, and a week of spend is rarely enough. In a low-traffic category where a campaign generates only a handful of clicks over several weeks, there is simply no basis for a decision yet. A more useful benchmark is to wait until you have seen enough clicks relative to your expected conversion rate to judge performance statistically, for example around twice the number of clicks it should take to produce one sale. Patience in the early weeks, combined with monitoring for any outliers that need immediate attention like a single keyword consuming most of the budget, is a more effective approach than optimizing prematurely on thin data.
