the list you would have built anyway.

we build one of these for every client before a single email goes out. it is the least glamorous part of outbound and the part that decides whether any of the rest works. you can just buy it.

what you get

• one ideal profile, taken seriously. you tell us who you sell to. we come back with the segmentation we actually used, in writing, so you can argue with it.
• verified work emails. every row is checked before it ships. bounced rows are replaced, not counted.
• the fields that matter. name, title, company, verified work email, linkedin, company domain, headcount, location.
• a csv you own. no platform to log into, no seat to keep paying for, no export limit. it is your file.
• three business days. fast enough that the profile you described is still the profile you want.

how it gets built

the same way we build it for a paying engagement: apollo and clay for the raw universe, then the part that is not automated. we cut the rows that match the filter but not the intent, check the titles against what the person actually does, and drop the companies that will never buy no matter how good the email is. a list of 250 usually starts life somewhere north of a thousand.

the segmentation note is the part people underrate. two founders selling the same product to what they both call "mid-market operations leaders" mean completely different things, and the list is where that gets settled.

buy a list

you describe your ideal customer at checkout. we confirm the profile by email before we build, so nothing gets researched against the wrong brief.

what this is not

it is a research deliverable, not a pipeline. we build and verify the list. you decide who to contact, what to say, and when. we make no claim about how many of these people will reply, meet with you, or buy, and anyone who does make that claim about a list is guessing. if you want the sending built and run as well, that is the engine, and the list is already inside it.

built with help from AI. we use AI tools to research, draft, and assemble work like this. a human reviews everything, but if something looks off, tell us and we will fix it fast.