Build your ideal partner profile first, then map the sources that actually contain those companies and the partnerships contacts inside them. The database choice comes last, and it’s a function of which signals matter to your IPP. Starting with a database (Crunchbase, PitchBook, LinkedIn Sales Navigator, Apollo) before doing this work is how teams end up with a 5,000-row list that nobody uses.
The mistake most teams make is opening a database first. The database is the last decision, not the first. Step one is the ideal partner profile: who sells to your buyer without competing with you, what stage and size makes a partnership worth the effort on both sides, and which overlap signals (shared tech, shared customers, geography) make a fit likely. Step two is mapping where that information lives. Funding and stage data are available on Crunchbase and PitchBook. Tech-stack overlap sits in BuiltWith and HG Insights. Partnership job titles and current contacts sit in LinkedIn, on company “partners” or “integrations” pages, and in conference and podcast guest lists. The job titles to look for are well established: Crossbeam’s hiring guide names Head of Partnerships, VP Strategic Alliances, Partner Manager, and Channel Manager as the core roles across most B2B teams. Once you know which signals matter and where they live, the choice of database follows. Managed research providers like DataBees do the same work end-to-end when a brief spans multiple sources.
Write the IPP before you open a database. List the five to seven signals that define a good partner, and for each signal write down the source most likely to hold it. Pick the database that covers the most signals on your list, and accept that one tool rarely covers all of them. For partnerships contacts specifically, LinkedIn plus a manual pass on each company’s partners page will beat any single database.
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