More Resources
Prompt

Combine firmographic with social media intent into one ranked list

Tools: Claude ▪ Lusha

Images and outputs on this page are for illustrative purposes only. The example below is a real result pulled live from Lusha, with personal details masked for privacy.

Firmographic fit tells you who could buy. Intent tells you who’s actually paying attention right now. Neither alone is a strong enough reason to prioritize an account, together they are. This play uses Lusha’s Claude connector to combine professional network activity with firmographic filters into one ranked list.

How to set it up

01

Connect Lusha to Claude

Open the Lusha connector on Claude, or go to Settings → Connectors in Claude and add Lusha directly.

02

Set your ICP criteria

Give Claude your target industry, size range, and location, the firmographic half of the score.

03

Layer in the intent signal

Claude flags which of those fit accounts are also showing LinkedIn activity intent, splitting your list into fit-only versus fit-plus-active.

The prompt

Open in Claude Open in ChatGPT 

Find [industry] companies, 51-200 employees. Flag which ones are also showing LinkedIn activity intent. 
Rank fit-plus-intent accounts above fit-only accounts.

What you'll get back

Real output, pulled live for this page, from a pool of 191,567 companies matching this signal at 51-200 employees:

CompanyIndustryLocationIntent signal
it|v##ureTechnology, Information & MediaLondon, UKMatched
PHP A##ncyFinanceAddison, TXMatched

 

Both companies fit the size filter. Both also show active engagement on relevant topics, the reason to move them above a same-size account that fits but hasn’t shown any signal at all.

Why use Lusha in Claude

A firmographic-only list treats every fit account the same, no way to tell which one is worth calling this week versus this quarter. Ask Claude to prioritize without Lusha connected, and it has nothing real to rank on beyond the filters you gave it.

Connect Lusha, and Claude can split the list itself, accounts that fit and are actively engaged, ranked above accounts that only fit. That’s a scoring model built on two real data points, not one guess dressed up as a score.

FAQ

  • Yes. Combine LinkedIn activity intent with hiring surges, funding events, or headcount changes for a stronger composite score.

     

     

     

  • It’s a filter and rank, not a full scoring system. Use it to prioritize a list, then feed the ranked output into your existing CRM scoring if you have one.

  • As large as your filters return. Narrow by industry, size, and location to keep the list workable.

Related Prompts

Ready to run this?

One data connection. Works in Claude, ChatGPT, your CRM, or any agent you build.

Start for free Read the Docs