Score a target account against your best-customer pattern in ChatGPT

Built by: Lusha
Time to build: 1 min
Difficulty: Easy
Tools: ChatGPT ▪ Lusha
Type: Prompt

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 target account and seed customers to see live results.

A target account can look good in isolation and still be the wrong priority.

It may be in the right industry, but too small. It may have the right title coverage, but no timing signal. It may look like your best customers on paper, but lack the department, growth pattern, or buying motion that usually makes your product relevant.

The better question is not “does this account fit our ICP?” It is “does this account look like the customers that already worked?”

This prompt uses Lusha in ChatGPT to compare one target account against your best-customer pattern. Lusha validates and enriches the seed customers, enriches the target account, checks for buying signals, and finds relevant contacts. ChatGPT then creates an explainable fit score and recommends whether to work the account now, add it to a campaign, nurture it, or hold.

How to start

Open in Claude Open in ChatGPT
1

Open Lusha in ChatGPT

Go to Lusha in ChatGPT and click “Start chat.” Every conversation started this way is automatically Lusha-enabled.

2

Or invoke Lusha in any existing conversation

Type @Lusha in the prompt bar and select Lusha from the dropdown. Unlike Claude, Lusha does not activate automatically in every ChatGPT conversation. You must invoke it every time.

3

Add your target account and seed customers

Copy the prompt below, add one target account and at least five best-customer seeds, and send. Lusha compares the account against your customer pattern and ChatGPT recommends the next-best action.

The prompt

Start from Lusha in ChatGPT or type @Lusha before sending.

@Lusha Score this target account against my best-customer
pattern and recommend what to do next.

TARGET ACCOUNT:
Company: [company name or domain]

BEST-CUSTOMER SEEDS:
Add 5-100 customer company domains or LinkedIn company URLs
that represent strong-fit accounts.

1. [customer domain or LinkedIn company URL]
2. [customer domain or LinkedIn company URL]
3. [customer domain or LinkedIn company URL]
4. [customer domain or LinkedIn company URL]
5. [customer domain or LinkedIn company URL]

BEST CUSTOMER CONTEXT:
Why these customers are good examples:
[high ACV / fast sales cycle / high retention / expansion /
strategic segment / successful use case / other]

MY PRODUCT:
[One sentence describing what you sell and the problem
it solves]

TARGET BUYERS:
Primary personas: [titles or personas]
Relevant departments: [Sales / Marketing / RevOps / IT /
Operations / Customer Success / Finance / HR / other]

EXCLUSIONS OR WARNINGS:
Do not recommend outreach if:
[existing customer / competitor / poor-fit segment /
open opportunity / excluded region / other]

Using Lusha, do the following:

1. VALIDATE THE SEED CUSTOMERS
   Match each seed company to a verified Lusha company
   profile.

   Return:
   - Company name
   - Domain
   - Industry
   - Employee count
   - HQ location
   - Revenue range if available
   - Company LinkedIn if available
   - Match status

   If fewer than 5 seed companies can be verified, ask me
   for more seeds before scoring the target account.

2. ENRICH THE TARGET ACCOUNT
   Match the target company to a verified Lusha company
   profile.

   Return:
   - Company name
   - Domain
   - Industry
   - Employee count
   - HQ location
   - Revenue range if available
   - Company LinkedIn if available
   - Match status

   If the target account cannot be verified, say so clearly.

3. COMPARE TARGET ACCOUNT TO SEED PATTERN
   Compare the target account against the verified seed
   customers.

   Evaluate:
   - Industry similarity
   - Company size similarity
   - Region similarity
   - Revenue range similarity, if available
   - Business model similarity, if available
   - Tech stack similarity, if available
   - Growth stage or funding context, if available
   - Relevant department or function match

   Separate strong matches from weak or missing data.

4. CHECK RECENT BUYING SIGNALS
   Check recent signals for the target account from the
   last 6 months, if available.

   Prioritize:
   - Hiring surges
   - Hiring surges by relevant department
   - Hiring surges by location
   - Funding events
   - Leadership changes
   - Headcount growth or reduction
   - IT spend changes
   - Website traffic changes
   - Commercial activity news
   - Corporate strategy news
   - Product activity news
   - Risk news
   - Intent topics related to my product, if available
   - Promotion or company-change signals for relevant contacts

5. CREATE AN EXPLAINABLE ACCOUNT SCORE
   Create a recommendation score from 1-100 using only
   the Lusha data returned and the context I provided.

   Break the score into:
   - Best-customer match: 40 points
     How similar the target account is to the seed customers.

   - ICP fit: 25 points
     How well the target account fits my market.

   - Timing: 20 points
     Whether recent signals make the account more timely.

   - Actionability: 15 points
     Whether relevant contacts and contact data are available.

   Make the score explainable. Do not present it as a
   prediction that the account will convert or buy.

   If there is not enough verified data to support a score,
   mark the confidence as low and explain what is missing.

6. FIND RELEVANT CONTACTS
   If the account should be worked now or added to a campaign,
   find 1-3 relevant contacts matching the target buyer
   personas or departments.

   Return:
   - Name
   - Current title
   - Department
   - Seniority
   - Location
   - LinkedIn profile if available
   - Verified business email availability
   - Direct or mobile phone availability
   - DNC status if available

   If contact data is not available or cannot be revealed,
   say so clearly rather than guessing.

7. RECOMMEND THE NEXT-BEST ACTION
   Assign one recommendation:

   Work now:
   Strong best-customer match + strong ICP fit + relevant
   signal or strong actionability.

   Add to campaign:
   Strong account fit, but weaker timing or limited contacts.

   Nurture:
   Partial fit or unclear urgency.

   Review:
   Interesting account, but missing data or unclear fit.

   Hold:
   Good account, but not enough timing or contact data yet.

   Exclude:
   Poor fit, disqualified, competitor, existing customer,
   open opportunity, or unverifiable account.

8. CREATE THE OUTREACH ANGLE
   If the recommendation is Work now or Add to campaign,
   write:
   - Why this account resembles our best customers
   - Why now may be a good time to reach out, if supported
     by signals
   - Who to contact first
   - What angle to lead with
   - One subject line under 7 words
   - One opening line under 30 words
   - One discovery question

   Do not:
   Invent signals, vendors, internal projects, tools,
   contract status, buying intent, contacts, emails,
   phone numbers, or scores.
   Claim the account is ready to buy.
   Present the score as a conversion prediction.
   Force personalization when the data is weak.

9. OUTPUT FORMAT
   Return:
   - Seed customer validation
   - Target account enrichment
   - Match analysis
   - Recent buying signals, if any
   - Explainable account score with breakdown
   - Confidence level
   - Relevant contacts, if available
   - Next-best action
   - Outreach angle
   - What data is missing

If Lusha cannot verify a company, contact, or signal, mark it
clearly rather than guessing.

What you’ll get back

 

A target account score that shows whether the account resembles your best customers, whether timing looks strong, and what sales should do next. Here’s what the output looks like:

Target account score — Lusha

FieldValue
Target account[Company A] · verified company profile
Best-customer matchStrong · similar size, industry, region, and RevOps-led buying motion
Recommendation score84/100 · high confidence
Strongest signalHiring surge in Revenue Operations · supports workflow and data quality angle
Next-best actionWork now · strong customer match + timely signal + contacts available
Starting contactR.M. · VP Revenue Operations · verified email available · mobile available

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 target account and seed customers to see live results.

 

Why use Lusha in ChatGPT to score a target account

 

Good-fit accounts usually follow a pattern. They share similar company traits, buyer roles, timing signals, or growth conditions. But reps often evaluate accounts one at a time, without comparing them to the customers that already worked.

Lusha helps make that comparison more concrete. The prompt validates your best-customer seeds, enriches the target account, checks recent signals, and identifies relevant contacts. ChatGPT then creates an explainable score that shows how closely the target account matches your best-customer pattern and whether the account is worth working now.

The score is not a prediction that the account will convert. It is a prioritization aid built from verified data, account signals, and the context you provide.

The result is a faster answer to a practical GTM question: should we work this account now, and if yes, who should we start with?

Lusha data is sourced and used in accordance with Lusha’s Privacy Policy and Terms of Use. Lusha is GDPR compliant and covers contacts across North America, EMEA, and APAC.

FAQ

  • How many seed customers do I need?

    Use at least five seed companies. Lusha lookalike and customer-pattern workflows work best with 5-100 seed company domains or LinkedIn company URLs.

  • Is this a predictive score?

    No. ChatGPT creates an explainable recommendation score from Lusha data and the context you provide. It helps prioritize the account, but it does not guarantee conversion.

  • Can I use this before adding an account to an outbound campaign?

    Yes. This prompt is useful before adding accounts to campaigns, assigning them to sales, or deciding whether to work, nurture, or hold an account.

  • What if the account looks like our customers but has no signals?

    The account may still be a good fit, but it may be less urgent. The prompt separates account fit from timing so sales can decide whether to work now or add it to a lower-priority campaign.

  • What if Lusha cannot find relevant contacts?

    The prompt should mark contact availability clearly. If the account fit is strong but contacts are missing, the recommended action may be review, nurture, or run a more specific contact search.

Related Prompts

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