Sample article — replace with your own

Search term data from 40 Amazon accounts: what broad match really costs (sample)

Research10 min read

This is a sample research post. The data described is invented and exists only to show the layout of a longer article.

The idea: pull search term reports from many accounts, group the queries by match type and compare the cost of the clicks that never led to a sale.

Sample finding: broad match found a handful of useful new terms, but most of its spend went to queries that were never going to convert.

Replace this with your real method, your real numbers and what you would tell a new advertiser to do differently.

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