Feed every rep fully researched,
pre-qualified accounts every day...
on auto pilot.
The model surfaces companies that match, then researches each one against your own buying signals before a rep ever sees it. Fit is evidenced, not assumed.
How pre-qualification works
Match against the model
Companies are surfaced from live external data by fit to the propensity model, continuously rather than as a one-off list pull.
Research every account
LinkedIn Jobs, Companies House, BuiltWith and the company's own site are read for each account before it enters the queue.
Resolve your signals
Each custom signal is checked and evidenced with a source, so a rep can see why the account is here.
Qualify every business in your own words.
Not a dropdown of categories. You write the condition you actually care about, however specific, and Haku researches every account against it and reports back with the evidence.
Add completely custom buying signals and triggers in your own words.
Signals describe what an account is. Triggers describe what just happened to it. Both carry a weighting, and both feed the score out of 100.
Map the buying committee.
Haku resolves who sits where and who reports to whom, so outreach starts with the people who answer rather than the biggest title.
