Build a verified ABM account list from a campaign brief 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 campaign brief and ICP details to see live results.

An ABM campaign is only as strong as the account list behind it.

The message can be sharp, the creative can be polished, and the channels can be ready — but if the account list is too broad, stale, or disconnected from real buying signals, the campaign will struggle before it starts.

The problem is that campaign briefs often describe the audience in broad terms: “mid-market SaaS,” “RevOps leaders,” “companies investing in automation,” or “sales teams under pressure.” That helps shape the strategy, but it does not give sales and marketing a verified list of accounts to work.

This prompt uses Lusha in ChatGPT to turn a campaign brief into a verified ABM account list. It finds companies that match your ICP, enriches each account, checks for recent buying signals, identifies relevant contacts, and creates a campaign angle for each high-priority account.

How it works

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

Paste your campaign brief and send

Copy the prompt below, add your campaign theme, ICP, target personas, and disqualifiers, and send. Lusha finds matching accounts, checks for signals, and recommends who to target first.

The prompt

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

@Lusha Build a verified ABM account list from this
campaign brief.

CAMPAIGN BRIEF:
Campaign theme: [campaign theme]
Product or offer: [product, feature, report, webinar,
event, workflow, or campaign asset]
Problem we solve: [one sentence describing the business
problem]
Primary message: [one sentence describing the campaign angle]

ICP:
Best-fit industries: [industries]
Best-fit company size: [employee range]
Best-fit regions: [regions]
Target personas: [titles or personas]
Relevant departments: [Sales / Marketing / RevOps / IT /
Operations / Customer Success / Finance / HR / other]
Disqualifiers: [companies, industries, regions, sizes,
competitors, existing customers, or poor-fit segments
to exclude]

LIST SIZE:
Build a list of [number] target accounts.

Using Lusha, do the following:

1. FIND MATCHING ACCOUNTS
   Search for companies that match the campaign ICP.

   Prioritize companies that fit:
   - Industry
   - Company size
   - Region
   - Relevant department or persona
   - Campaign problem
   - Disqualifier rules

   If the list size is too large for one response, return
   the strongest first batch and explain how to continue.

2. ENRICH EACH ACCOUNT
   For each company, return:
   - Company name
   - Domain
   - Industry
   - Employee count
   - HQ location
   - Revenue range if available
   - Company LinkedIn if available

3. CHECK RECENT BUYING SIGNALS
   Check for recent company signals from the last 6 months.

   Prioritize signals that make the campaign more timely:
   - 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
   - Promotion or company-change signals for relevant contacts

4. SCORE ACCOUNT FIT
   Score each account:
   - High fit
   - Medium fit
   - Low fit
   - Exclude

   Base the score on ICP match, signal relevance,
   campaign fit, and disqualifiers.

5. PRIORITIZE THE ABM LIST
   Assign one tier:

   Tier 1:
   Strong ICP fit + strong campaign relevance +
   recent supporting signal

   Tier 2:
   Strong ICP fit + campaign relevance, but weak
   or no recent signal

   Tier 3:
   Partial fit or unclear urgency

   Exclude:
   Poor fit, disqualified, unmatched, competitor,
   existing customer, or not relevant to this campaign

6. FIND TARGET CONTACTS
   For each Tier 1 account, find 1-2 relevant contacts
   matching the target persona or department.

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

7. CREATE THE CAMPAIGN ANGLE
   For each Tier 1 account, write:
   - One reason this account fits the campaign
   - One signal-based reason to target it now, if available
   - One suggested opening line under 30 words
   - One recommended CTA for this campaign

   Do not:
   Invent signals, projects, tools, vendors, or priorities.
   Force personalization when no useful signal exists.
   Include accounts that violate the disqualifiers.
   Overstate what a signal proves.

8. OUTPUT FORMAT
   Return:
   - ABM account list table
   - Company enrichment
   - Strongest signal, if available
   - Fit score
   - Priority tier
   - Target contacts for Tier 1 accounts
   - Campaign angle
   - Recommended CTA
   - Excluded accounts and why

Do not invent companies, contacts, emails, phone numbers,
or signals. If Lusha cannot verify an account or contact,
mark it clearly.

What you’ll get back

 

A verified ABM account list with company enrichment, buying signals, target contacts, and campaign angles. Here’s what the output looks like:

ABM account list — Lusha

FieldValue
CampaignRevOps automation campaign · mid-market SaaS
Accounts found50 matched · 18 high fit · 9 Tier 1 accounts
Strongest signalHiring surge in Operations · 64% above historical average
Tier 1 account[Company A] · high ICP fit · recent operations growth
Target contactR.M. · Head of RevOps · verified email available · mobile available
Campaign angleTeam growth may make enrichment, routing, and workflow automation more timely

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 campaign brief and ICP details to see live results.

 

Why use Lusha in ChatGPT to build an ABM account list

 

ABM works best when account selection is specific. A broad ICP can help define the market, but a campaign needs a sharper list: companies that fit the audience, match the message, and show some reason to act now.

Lusha helps turn a campaign brief into that list. The prompt searches for companies that match the ICP, enriches each account, checks for recent buying signals, and identifies relevant contacts at the highest-priority accounts. That gives marketing and sales a shared view of who to target and why.

The signal layer matters because not every good-fit account should be treated the same. A company hiring into RevOps, increasing IT spend, growing headcount, or showing relevant company news has a stronger reason to hear from you than an account with no recent movement.

The result is an ABM list built around fit, timing, and action — not just firmographic filters.

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

  • What should I include in the campaign brief?

    Include the campaign theme, product or offer, problem you solve, target industries, company size, regions, personas, relevant departments, and disqualifiers. The more specific the brief, the better the account list.

  • Can I use this for webinar or event campaigns?

    Yes. Add the webinar or event topic as the campaign theme, describe the audience, and include the problem the session helps solve. The prompt can then build a target account list and recommend contacts for outreach.

  • What makes an account Tier 1?

    A Tier 1 account has strong ICP fit, strong campaign relevance, and a recent supporting signal. That combination gives sales and marketing both a reason to target the account and a reason to act now.

  • What if an account has no buying signals?

    A strong-fit account can still be useful for ABM, but it should be handled differently from an account with a clear timing signal. The prompt separates high-fit accounts with signals from high-fit accounts that may be better for nurture or lower-priority campaign waves.

  • Can I exclude existing customers or competitors?

    Yes. Add existing customers, competitors, poor-fit industries, regions, or company sizes in the disqualifiers section. The prompt asks Lusha to exclude accounts that should not be included in the final campaign list.

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