Your ad is only as good as your listing.

Why bids cannot fix a weak listing

Ad performance is the product of two rates: click-through rate (how many shoppers click) and conversion rate (how many of those buy). Spend does not appear in either one. A product with a 0.2% click-through rate and a 7% conversion rate needs about five times as many impressions to make the same sale as a product with a 1% click-through rate, and Amazon charges for the clicks it does get.

There is a second effect. When a listing matches the shopper's search strongly, Amazon tends to charge less per click. Better relevance lowers cost per click, which means the same budget buys more traffic at the same conversion rate. A listing fix therefore improves an account without a new campaign or a larger budget.

A useful picture is this: PPC is the horse, and the listing and thumbnail are the riders. The horse can only go where the rider lets it.

Step one: earn the click

The main image is the first ad your product shows, and in most categories it is the highest-leverage change available. We work through it like this:

1. Start from the search term. Take the terms that already bring orders and look at the first ten results for each. What does a shopper see that tells them the product matches? Size, count, material, use, a face, a result.
2. Match the image to the term. A shopper typing "pimple patches for face" should see the thing they typed, at thumbnail size, on a phone.
3. Show scale and use where it matters. Two-word changes and a clearer sense of size often lift clicks.
4. Test, do not guess. Amazon's Manage Your Experiments lets you run a main-image test on your own listing. We plan tests as a series, not a one-off.

One reported mattress-protector example tested a main image. Click-through rate moved from 0.18% to 0.70%, conversion rate from 7.8% to 11.2%, ACoS from 21.79% to 16.28%, and revenue rose 76%. Results vary by category and listing.

Step two: earn the sale

Once the click is earned, the rest of the page has to answer the shopper's doubts. In rough order of influence:

• Secondary images. We plan the gallery as a short journey: attract (the benefit), prove (features, ingredients, in use, scale, comparison) and connect (the brand and the story). A truthful "us versus them" image is usually worth including.
• A+ content and Brand Story. Most Amazon traffic is on a phone (more than 75%). Text inside images should never be smaller than the default listing text on mobile. Use 30-point text as a minimum. We cut copy, enlarge it and let imagery do the work.
• Reviews and rating. We read the top reviews and the negative themes, because they tell you what shoppers fear and what the listing has not answered.
• Video, bullets and title. Titles lead with the most important keyword and read like English. Bullets answer real questions.

This is also where the ad data helps. If a search term has a high click-through rate and a low conversion rate, the image is working and the page is not, so we look at the gallery, bullets and A+. If it has a high conversion rate and a low click-through rate, the page works and the image or title is the problem. The data tells us which side of the page to fix.

What we do

• Pull 60 to 90 days of search terms and sort them by intent and by click-through and conversion rate.
• Compare your main image and gallery with page-one competitors for your top terms.
• Plan a prioritised set of listing changes and a main-image test series.
• Brief or produce the creative: main image, gallery, A+, Brand Story, video.
• Measure the effect on click-through rate, conversion rate, cost per click and TACoS, not on opinion.

Common mistakes

• Raising bids on a listing that converts below its category norm.
• Redesigning images without looking at what page one shows.
• Putting small paragraph text in A+ images that nobody can read on a phone.
• Changing five things at once and learning nothing.
• Using AI-generated or edited images that mislead. Images must be truthful, and as good as or better than a human-made version.