Articles on where go-to-market data is going, playbooks you can run today, and reports on what the data says - written by the team building the agents that source, enrich, verify and deliver it.
Explore 64 guides to AI agents, prospecting, business data and reliable delivery, with examples and sources.
Low match rates start in your data, and the fix does too. Seven upstream improvements - verification, waterfall enrichment, freshness - that lift matched audience match rates.
Build a suppression audience from verified, enriched records and exclude customers, open deals and disqualified accounts across LinkedIn, Google and Meta.
How to build LinkedIn matched audiences from verified, enriched account and contact data - a step-by-step ABM guide that treats match rate as a data problem.
Retargeting waits for behavior; matched audiences choose who sees ads first. A practical framework for when to use each and how to layer both.
Customer Match is Google Ads’ mechanism for building audiences from your own customer data - hashed emails, phones, names and addresses - across Search, YouTube, Gmail and Display. What it matches on, the policy and size requirements, and how B2B teams use it well.
A matched audience is an ad audience built from a list you own, matched by the platform against its members. The definition, what the platforms match on, the four audience types, and why the match rate is a data-quality score in disguise.
How a list becomes an ad audience: what each platform matches on, the pipeline from rows to a live audience, retargeting, suppression and ABM audience types, the hygiene that decides match rates, and the approval gate that belongs in front of every ad account.
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