Find accounts showing intent that match my ICP

Example outputs in this play are illustrative — they reflect the structure, fields, and format of real Lusha connector output, but were not pulled from a live session. Run the prompt with your own ICP and connectors to see live results. Personal details in any live examples are masked or abbreviated for privacy.

Intent data without ICP fit gives you a list of companies researching your category — most of which you’d never sell to. ICP fit without intent gives you a list of companies that look right but aren’t actively looking. This Claude prompt finds the intersection: accounts that match your ideal customer profile and are showing live buying signals right now. It uses Lusha to score firmographic fit, surface intent signals above a meaningful threshold, and verify a contact at each account — so what comes back isn’t a research exercise. It’s a call list.

The prompt

Open in Claude Open in ChatGPT 
<context>
I want to find accounts that are both a strong fit for my
ICP and actively showing buying intent right now — not one
or the other, both at the same time.

My ICP: [describe your ideal customer — industry, company
size, geography, funding stage]

Intent topics I care about: [list the topics your buyers
research before they buy — e.g. "sales prospecting data",
"B2B contact enrichment", "outbound automation"]

Minimum intent score: 65
Timeframe: signals from the last 30 days
</context>

<task>
1. INTENT SIGNAL SCAN — Use Lusha to find accounts
   showing intent on my specified topics:
   - Intent score at or above my minimum threshold
   - Signal date within the last 30 days
   - Pull all matching accounts — do not pre-filter
     by ICP at this stage

2. ICP SCORING — For each account showing intent,
   score against my ICP:
   - Firmographic fit: industry, size, funding stage,
     geography
   - Remove accounts that fail on must-have criteria
   - Score remaining accounts: High fit / Medium fit

3. STACKED SIGNAL CHECK — For each ICP-fit account,
   check for additional signals that strengthen the
   case:
   - Hiring surges in the target function
   - Executive moves in the buying role
   - Funding events in the last 90 days
   - Flag accounts with 3+ signals as highest priority

4. CONTACT VERIFICATION — For each final account,
   verify one VP+ contact in the buying function
   via Lusha:
   - Current title and tenure
   - Verified email and direct dial
   - Flag recent hires — tenure under 6 months

5. RANKED OUTPUT — Return accounts ranked by combined
   intent score and ICP fit. For each account:
   - Intent topics they are researching
   - ICP fit score
   - Stacked signals if present
   - Verified contact with email and direct dial
   - One-line reason why this account is worth
     calling today
</task>

What you'll get back

Accounts that match your ICP and are actively researching your category right now — ranked by combined intent score and firmographic fit, each one with a verified contact and a reason to call today.

Your intent-qualified account list

Accounts showing intent on your topics: 34  ·  ICP-fit after scoring: 11  ·  High priority (3+ stacked signals): 4

High priority — stacked signals

These accounts match your ICP and have three or more signals firing at the same time. Reach out this week.

CompanyIndustryEmployeesFundingICP fitIntent score
[Company A]Revenue Intelligence280–320Series BHigh84
[Company B]Sales Tech / SaaS160–200Series AHigh79
[Company C]MarTech220–260Series BHigh71
[Company D]Revenue Operations140–180Series AHigh68

[Company A] — full detail

Intent signals firing now

TopicScoreDate
Sales prospecting data84[date]
B2B contact enrichment71[date]
Outbound automation tools66[date]

Stacked signals

SignalTypeDate
New VP of Sales joinedExecutive move[date]
8 SDR roles postedHiring surge[date]
Series B closed — $22MFunding[date]

Verified contact

FieldValue
NameR.M.
TitleVP of Sales
Tenure5 weeks ⚑ recent hire
Emailr.m@[company].com
Direct dial+1 512 555 ••••

Contact confirmed live via Lusha connector, [date]

Why call today: New VP of Sales, 5 weeks in, actively researching prospecting data, enrichment tools, and outbound automation — while scaling the SDR team and sitting on fresh Series B funding. Every signal points to an open vendor evaluation happening right now.

ICP-fit accounts — single signal

These accounts match your ICP and are showing intent. No stacked signals yet — worth monitoring and reaching out within the next two weeks.

CompanyIndustryEmployeesFundingICP fitIntent scoreTop topic
[Company E]Sales Tech180–220Series BHigh74Prospecting data
[Company F]RevOps SaaS120–160Series AHigh69Contact enrichment
[Company G]MarTech240–280Series BMedium67Outbound automation
[Company H]Revenue Intelligence90–120Series AMedium65Prospecting data

Filtered out: 23 accounts were showing intent on your topics but did not meet ICP criteria — wrong industry, outside size range, or pre-Series A stage. Not included in the output.

Example outputs in this play are illustrative — they reflect the structure, fields, and format of real Lusha connector output, but were not pulled from a live session. Run the prompt with your own ICP and connectors to see live results.

Built by: Lusha
Time to build: 1 min
Difficulty: Easy
Tools: Claude, Lusha
Type: Prompt

Why use Lusha in Claude

Intent data without ICP fit gives you a list of companies researching your category — most of which you’d never sell to. Intent data with ICP fit gives you something different: accounts that are both the right profile and actively looking right now. That intersection is small, changes every week, and is almost impossible to surface manually without running two separate tools and cross-referencing the results yourself.

Lusha surfaces both in the same pass. The Search layer pulls intent signals across 1.2B+ data points processed daily — 24 signal types tracking research activity, hiring patterns, executive moves, and technology changes at the account level. The Deep Intelligence layer scores each account against your ICP based on the patterns from your actual closed-won data. The two run together so the output isn’t a list of companies that are researching your topic category. It’s a list of companies that look like your best customers and are researching your topic category at a signal strength above a meaningful threshold.

The stacked signal check adds the timing layer. An account showing intent on your category is worth noting. An account showing intent on your category while simultaneously hiring SDRs, bringing in a new VP of Sales, and closing a funding round is worth calling today. That combination surfaces a window — usually 30 to 60 days — before a vendor decision gets made. Lusha’s 7M new signals processed every week means that window gets identified in real time, not after someone manually scans a news feed.

The contact verification step closes it. Every account in the output comes with a VP+ contact verified live — current title, direct dial, business email. The list doesn’t require a separate enrichment run before it’s ready to work.

Lusha data is sourced and used in accordance with Lusha’s Privacy Policy and Terms of Use.

FAQ

  • How do I know which intent topics to use?

    Start with the words your buyers use when they’re researching the problem you solve — not your product category, but the problem. If you sell B2B contact data, your buyers research “sales prospecting data,” “contact enrichment,” and “outbound data quality” — not “Lusha alternatives.” Think about what a rep at a target account would type into Google six weeks before they open a vendor evaluation. Those are your intent topics. If you’re not sure, run the play with three to five topics and adjust based on which ones return accounts that look right.

  • What does an intent score of 65 actually mean?

    Lusha’s intent scoring measures how much a company’s research activity on a topic has increased relative to their own 12-week baseline — not against a market average. A score of 65 means research activity on that topic has surged meaningfully above what’s normal for that company. A score of 80+ means the surge is significant. The 65 threshold in this prompt filters out background noise while keeping accounts that are genuinely in a research cycle. You can raise it to 75 or 80 if you want a tighter, higher-confidence list — or lower it to 55 if you want broader coverage at the cost of some precision.

  • How is this different from the Weekly Signal Digest play?

    The Weekly Signal Digest play sweeps a saved territory and surfaces everything that moved — all signal types, all accounts, ranked by strength. It’s built for Monday morning pipeline awareness across accounts you’re already tracking. This play is built for net-new prospecting — it finds accounts outside your current territory that match your ICP and are showing intent right now. Different motion, different output.

  • How often should I run this?

    Weekly gives you the freshest list — intent signals change fast and an account that wasn’t showing intent last week might be at score 78 this week. If weekly feels like too much, run it every two weeks as a prospecting refresh. The accounts at the top of the list change regularly enough that running it monthly means you’re missing timing windows that opened and closed between runs.

  • What if my ICP is broad and the filtered list is still very long?

    Tighten the ICP criteria or raise the intent score threshold. The goal is a list short enough to act on this week — ideally 10 to 20 accounts. If the output is returning 40 or 50 accounts, add a must-have criterion you haven’t specified yet — a specific funding stage, a geography constraint, a tech stack requirement — until the list reaches a size your team can realistically work. The play is designed to surface precision, not volume.

Related Prompts

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Connect once, run anywhere. Works in Claude, ChatGPT, n8n, Clay, or any agent connected to Lusha.

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