When There’s No Keyword Worth Bidding On

The Problem

Many advertisers can’t generate enough web traffic from keywords alone, and others don’t have a clear keyword to bid on at all. In those cases, such as when the need is driven by lifestyle and affluence signals that never show up in a query, traditional search has nothing to grab onto and broad awareness means paying to reach people who were never going to convert. These advertisers need other signals, ones that describe who a customer already is.

How AMP Finds Them

AMP uses Amazon’s own consumer data, such as a customer’s actual purchase history across categories that have nothing to do with the advertiser’s product, as a stand-in for demand that has no search behavior of its own. Instead of guessing at a keyword, the advertiser targets the kind of customer who already buys adjacent to their category, then measures whether that stand-in signal actually finds real buyers, or just resembles them on paper.

One Real Example

A mobile IV-therapy company ran exactly this test, after months of underperforming search campaigns. Audience segments built from Amazon consumer signals, such as high-net-worth asset ownership, wellness purchases, and luxury retail activity, were split evenly across multiple line items and delivered to targets within a radius of Los Angeles. It started as a smaller, roughly $4,000 test in month one, then scaled up to a $10,000 relaunch across months two and three.

Across those two campaigns, the mechanism produced 37 real bookings. Cost per booking dropped by roughly a third from the first test to the relaunch, the opposite of what usually happens when spend scales up, and a sign the audience signal itself was doing real work, not just buying more impressions. The advertiser generated a more than 4X return on ad spend.