Datum
Use cases

When off-the-shelf data isn't enough

Five situations where teams stop subscribing to data and start sourcing it. Find the one that sounds like you.

  1. 01

    Capturing the TAM databases miss

    Market sizing pulled from a single database inherits that database's gaps. For mainstream software that's tolerable. For most other markets it means your "TAM" is really "the slice one vendor happened to catalog."

    • TAM vs. reality gap
    • Territory planning stalls
    • The number won't defend
  2. 02

    Selling into data-poor markets

    Most GTM advice assumes your buyers are already cataloged. For a lot of real businesses they aren't. If you sell into the trades, local operators, regional brands, or a category that didn't exist three years ago, the databases everyone pays for are mostly blanks where your ICP should be.

    • Exports come back thin
    • Reps research by hand
    • Generic tools underperform
  3. 03

    Senior operators instead of a junior team

    When you're lean, every hire is a bet. A junior RevOps or data hire is cheaper on paper but slow to ramp and easy to misdirect; a senior one is expensive and hard to find. Either way, while you decide, outbound runs on whatever a single tool happens to have.

    • Founder-led GTM
    • Tool sprawl, no system
    • Hiring is the bottleneck
  4. 04

    Enterprise data ops & augmentation

    Enterprise GTM doesn't lack tools — it lacks coverage in the corners and the engineering time to keep data clean and scored. Licensed databases have ceilings, and the records you hold decay roughly 30% a year.

    • Coverage gaps persist
    • Decay outpaces refresh
    • Engineering is the bottleneck
  5. 05

    Data infrastructure for GTM agencies

    Every new client is a new ICP, and the markets that are hardest to reach are often exactly the ones that hired an agency because in-house couldn't crack them. Re-solving sourcing and systems per account eats your margin.

    • ICP varies per client
    • Results stall on coverage
    • Delivery doesn't scale

Not sure which fits? Tell us the market your data doesn't cover. We reply within one business day.

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