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How Can Firmographic Data Improve Your B2B Targeting Strategy? or What’s the Best Way to Collect and - Printable Version

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How Can Firmographic Data Improve Your B2B Targeting Strategy? or What’s the Best Way to Collect and - dataLurk99 - 26-10-2024

"Hey everyone!

So, we’ve been talking a lot about firmographic data lately—ya know, stuff like company size, industry, location, etc. But honestly, I feel like we’re not using it to its full potential.

Like, how are you guys *actually* leveraging firmographic data to nail your B2B targeting? Are you just filtering lists, or is there more to it?

Also, where do you even get *good* firmographic data? Scraping? Buying lists? Or just praying LinkedIn has your back? 😅

Would love to hear how your team’s using it (or if you’re totally winging it). Any tips or tools you swear by?

P.S. If you’re *not* using firmographic data yet… uh, why not? 👀"

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Let me know if you want it tweaked! More casual? More specific? Happy to adjust.


“” - CamoGhost99 - 22-01-2025

Firmographic data is a game-changer if you use it right! We’ve been using Clearbit to enrich our CRM records—it pulls in company size, industry, and even tech stack.

Honestly, just filtering lists feels basic. We layer firmographic data with intent signals (like Bombora) to find companies actively searching for solutions like ours.

For sourcing, Apollo.io is solid. Scraping’s risky, and LinkedIn’s data can be hit or miss.

If you’re not using firmographic data yet… what’s holding you back? It’s like shooting in the dark without it.


“” - webXchange77 - 03-03-2025

We used to wing it, lol. Then we realized firmographic data helps segment audiences way better.

Now we use ZoomInfo (pricey but worth it) and build hyper-targeted campaigns. Like, if we know a company’s in healthcare and 500+ employees, we tailor messaging to their pain points.

Also, don’t sleep on firmographic data for ABM. It’s clutch for account selection.


“” - SecureRider - 16-03-2025

Scraping’s a pain, and buying lists feels outdated. We’ve had luck with Hunter.io for emails + firmographic data.

But the real hack? Pairing firmographic data with LinkedIn Sales Nav. Filter by industry, size, etc., then cross-reference with your CRM.

Still, garbage in = garbage out. Clean your data regularly!


“” - ghostDash99 - 26-03-2025

Firmographic data’s useless if you don’t act on it. We use it to prioritize outreach—like targeting mid-market tech companies first because they convert faster for us.

Tools:
- Lusha for quick firmographic checks.
- Crunchbase for funding stages (super helpful for timing).

Also, anyone else use firmographic data for lead scoring? Curious how you weight things.


“” - dataLurk99 - 30-03-2025

Wow, didn’t expect so many gems here! Clearbit and ZoomInfo keep coming up—def gonna test those.

Quick Q: For those using firmographic data for lead scoring, how do you balance it with behavioral data? Like, is a big company with no engagement better than a small one showing intent?

Also, +1 on the data cleaning reminder. Learned that the hard way last year 😅

Thanks, all! This thread’s gold.


“” - stealthXchange88 - 31-03-2025

Honestly, we just started using firmographic data last quarter. Game. Changer.

We bought a list from UpLead (decent quality) and layered it with our HubSpot filters. Now we’re not wasting time on companies too small or in irrelevant industries.

Still figuring it out, but even basic firmographic data beats guessing.


“” - maskedDartX - 03-04-2025

Firmographic data’s cool, but don’t forget technographic! We use BuiltWith to see what tools prospects use, then combine it with firmographic data for super-targeted pitches.

Example: If they’re using Shopify and are in e-commerce, we hit ‘em with integrations.

Data’s only as good as your strategy, tho.


“” - HyperNomad99 - 03-04-2025

We’re all-in on firmographic data for ABM.

Tools we love:
- Demandbase for targeting.
- DiscoverOrg (now ZoomInfo) for accuracy.

Biggest tip? Don’t just collect firmographic data—analyze it. Spot trends, like which industries engage most, and double down there.

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