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Prompt

Find the right decision-maker at a target account in ChatGPT

Time to build: 1 min
Difficulty: Easy
Tools: ChatGPT ▪ Lusha

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 persona details to see live results.

A good-fit account can still go nowhere if you start with the wrong person.

The title sounds right, but they do not own the problem. The department fits, but they are too junior. The senior buyer exists, but the CRM only has an old contact. Or the right person is not obvious because ownership sits across Sales, RevOps, Marketing, IT, Operations, or Finance.

The problem is that most reps search by title and hope the first match is good enough.

This prompt uses Lusha in ChatGPT to find relevant decision-makers at a target account, verify their current roles, check available contact data, and recommend the best person to contact first. Instead of guessing who owns the problem, you get a ranked contact list with a clear reason for each recommendation.

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 account and buyer context

Copy the prompt below, fill in the target account, buyer persona, and product context, and send. Lusha finds relevant contacts, verifies their roles, and recommends the best person to contact first.

The prompt

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

@Lusha Find the right decision-maker at this target
account and help me decide who to contact first.

TARGET ACCOUNT:
Company: [company name or domain]

BUYER CONTEXT:
Target persona: [persona or title]
Relevant department: [Sales / Marketing / RevOps / IT /
Operations / Finance / HR / Customer Success / other]
Seniority: [manager / director / VP / C-level]
Region, if relevant: [country or region]

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

Using Lusha, do the following:

1. VERIFY THE ACCOUNT
   Confirm the company profile:
   - Company name
   - Domain
   - Industry
   - Employee count
   - HQ location
   - Revenue range if available
   - Company LinkedIn if available

2. FIND RELEVANT DECISION-MAKERS
   Search for contacts at the account who match the buyer
   context.

   Prioritize contacts based on:
   - Title relevance
   - Department relevance
   - Seniority
   - Likely ownership of the problem
   - Region, if provided
   - Available verified contact data

   Return up to 7 relevant contacts.

3. VERIFY EACH CONTACT
   For each contact, return:
   - Name
   - Current title
   - Department
   - Seniority
   - Location
   - LinkedIn profile if available
   - Whether the person appears to still be at the company

4. ENRICH CONTACT DATA
   For each relevant contact, return:
   - Verified business email availability
   - Direct or mobile phone availability
   - DNC status if available
   - Last updated date if available

5. CHECK ACCOUNT SIGNALS
   Check recent company signals from the last 6 months
   that may affect who to contact or how to frame outreach.

   Prioritize:
   - Hiring surges
   - Hiring surges by relevant department
   - Hiring surges by location
   - Headcount increases or decreases
   - IT spend changes
   - Website traffic changes
   - Commercial activity news
   - Corporate strategy news
   - Financial events news
   - People news
   - Product activity news
   - Risk news

6. RECOMMEND THE BEST FIRST CONTACT
   Pick the best person to contact first.

   Explain why based on:
   - Role fit
   - Seniority
   - Department ownership
   - Contact data availability
   - Account signals, if relevant

   Also recommend:
   - Secondary contact
   - Executive contact, if useful
   - Technical or operational contact, if useful

7. WRITE THE FIRST TOUCH
   Write one short outreach email to the best first contact.

   Subject line:
   Under 7 words.

   Body:
   Under 100 words.
   Paragraph 1: Explain why this person is relevant.
   Paragraph 2: Connect account context or signal to the
   problem we solve.
   Paragraph 3: End with one clear, low-friction ask.

   Do not:
   Use generic personalization.
   Overstate the person’s ownership.
   Invent company priorities, tools, vendors, or signals.
   Mention sensitive contact data.
   Say "I found you in Lusha."

8. OUTPUT FORMAT
   Return:
   - Account verification
   - Decision-maker table
   - Verified contact data availability
   - Recent account signals, if any
   - Best first contact
   - Secondary contacts
   - Outreach email
   - Reasoning

Do not invent contacts, emails, phone numbers, companies,
or signals. If Lusha cannot verify a contact, mark it
clearly rather than guessing.

What you’ll get back

 

A ranked list of relevant decision-makers, verified contact data, account signals, and a first-touch message for the best contact. Here’s what the output looks like:

Decision-maker search — Lusha

FieldValue
Account[Company A] · matched by domain · B2B SaaS
Relevant contacts found7 contacts · Sales, RevOps, and Operations leadership
Best first contactR.M. · VP Revenue Operations · strongest ownership fit
Verified dataBusiness email available · mobile available · DNC false
Relevant signalHiring surge in Operations · supports workflow and scaling angle
OutputRanked contact list · best first contact · outreach email

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 buyer context to see live results.

 

Why use Lusha in ChatGPT to find the right decision-maker

 

Finding a contact is easy. Finding the right contact is harder.

A company may have several people with similar titles, overlapping responsibilities, or partial ownership of the problem. One person may be senior enough but too far from the workflow. Another may feel the pain but not control budget. Another may be the right operational owner but hidden behind a title that does not match the obvious keyword search.

Lusha helps narrow the account to the people most likely to matter. The prompt searches for relevant contacts, verifies their current roles, checks available contact data, and ranks them by likely ownership, seniority, department fit, and account context.

The signal step makes the recommendation stronger. If the account is hiring in Operations, increasing IT spend, growing headcount, or showing relevant company news, the best first contact may change. The right person is not only the person with the right title. It is the person most connected to what is happening at the account now.

The result is a cleaner starting point for outbound: who to contact, why them, and what to say first.

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

  • When should I use this prompt?

    Use it when you know the account you want to sell into but are not sure who owns the problem, who to contact first, or whether the contacts in your CRM are the right ones.

  • How is this different from enriching a contact?

    Contact enrichment starts with a person you already know. This prompt starts with an account and buyer context, then helps you find and rank the most relevant people to contact.

  • What if there are several possible decision-makers?

    The prompt asks ChatGPT to rank contacts by role fit, seniority, department relevance, contact data availability, and account signals. It also recommends a secondary contact and an executive or technical contact when useful.

  • Can this help with multi-threading?

    Yes. The prompt can identify the best first contact plus secondary stakeholders who may influence the deal, such as an executive sponsor, technical evaluator, or operational owner.

  • What if Lusha cannot verify the right contact?

    The prompt asks ChatGPT to mark unverified contacts clearly rather than guessing. You can refine the search by title, department, seniority, region, or problem ownership and run it again.

Related Prompts

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