Target client lists from public directories
Target client lists built from public directories, with AI doing the collecting and people deciding who belongs on the list.
The problem
Building a prospect list by hand means hours of copying names, locations and details out of public directories, and the result is out of date almost as soon as it is finished. Clients needed lists that matched a clear profile, not whatever a purchased database happened to contain.
What AI did
AI gathered the publicly listed information, cleaned it into one consistent format, removed duplicates and sorted the entries by the criteria that mattered to the client. The repetitive part of the job, which used to take days, ran while we worked on something else.
What people did
We set the profile of a good-fit prospect, chose which public sources were appropriate to use, reviewed the lists for accuracy, and made the judgement calls about who actually belonged on them. We also set the rules on what not to collect.
Clean, current prospect lists that match the client's real target customer, ready for outreach, with the collection work handled by AI and the decisions kept with people.
Capability is cheap now. Judgement is what you're paying for.
Tell us where AI is helping your marketing and where it's making you nervous. We'll tell you what we'd keep, what we'd change and what we'd stop.
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