At OpenFunnel we emphasize job postings but we also educate customers to look for context and not keywords.

Most data dumpers and technographic providers are in pure sales mode.

Not educating.

Not caring about end customers because data is a blind buy due to volume.

Here are some pitfalls we've seen:

1. Tech stacks in job postings is no silver bullet

"Experience with Mixpanel, Amplitude, and LaunchDarkly" doesn't mean they use all three.

It doesn't tell you about relative adoption.

Do they already have a product analytics tool? Are they evaluating? Or is it just a nice-to-have?

You need relative research for that. People data. Org/team maturity.

Also matters how horizontal the tech is.

AWS in a job posting tells you nothing. A niche tool mention might give you a clue.

2. A single hire doesn't mean tool evaluation time

An SDR hire could just be a backfill.

What's the EMEA GTM structure? Is this a proper functional build-out or a replacement?

You need relative knowledge to make the inference. False alarms are plenty.

3. Technography+Firmography doesn't imply timing or need

RevOps is still used to static territory and named account building.

Companies move in time. Technography doesn't imply need.

For dynamic territories you need context.

Source new accounts with pain/contextual signals in real-time.

Understand what a team is currently building in the context of your product.