Start from Lusha in ChatGPT or type @Lusha before sending.
@Lusha Prioritize this target account list and recommend
the next-best action for each account.
TARGET ACCOUNT LIST:
Paste accounts in this format:
1. [Company name or domain]
2. [Company name or domain]
3. [Company name or domain]
CAMPAIGN OR SALES CONTEXT:
Goal: [new outbound campaign / ABM campaign / event follow-up /
pipeline creation / expansion / reactivation / other]
What we want to discuss: [one sentence]
Target personas: [titles or personas]
Relevant departments: [Sales / Marketing / RevOps / IT /
Operations / Customer Success / Finance / HR / other]
ICP:
Best-fit industries: [industries]
Best-fit company size: [employee range]
Best-fit regions: [regions]
Disqualifiers: [existing customers, competitors, open
opportunities, poor-fit segments, company sizes, or regions
to exclude]
MY PRODUCT:
[One sentence describing what you sell and the problem
it solves]
Using Lusha, do the following:
1. VERIFY AND ENRICH EACH ACCOUNT
Match each 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 a company cannot be verified, mark it clearly.
2. CHECK RECENT BUYING SIGNALS
For each verified account, check recent signals from the
last 6 months, if available.
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
- Intent topics related to my product, if available
- Promotion or company-change signals for relevant contacts
3. SCORE ACCOUNT FIT
Create an explainable recommendation score from 1-100
using only the Lusha data returned and the ICP context
I provided.
Break the score into:
- ICP fit: 35 points
How well the account matches the target market.
- Timing: 30 points
Whether recent signals make the account more timely.
- Persona fit: 20 points
Whether the right target personas are likely relevant.
- Actionability: 15 points
Whether relevant contacts and contact data are available.
Do not present the score as a prediction that the account
will convert or buy.
If there is not enough verified data to support a score,
mark the score as low-confidence and explain what is missing.
4. ASSIGN A NEXT-BEST ACTION
Assign one recommendation:
Work now:
Strong ICP fit + relevant signal or strong actionability.
Add to campaign:
Good ICP fit, but weaker urgency or limited signals.
Nurture:
Partial fit or unclear timing.
Review:
Interesting account, but missing data or unclear fit.
Exclude:
Poor fit, disqualified, competitor, existing customer,
open opportunity, or unverifiable account.
5. FIND STARTING CONTACTS
For each account marked Work now, 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
If contact data is not available or cannot be revealed,
say so clearly rather than guessing.
6. CREATE AI RECOMMENDATIONS
For each Work now account, write:
- Why this account should be prioritized
- Which signal or fit factor matters most
- 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, tools, vendors, internal projects,
contract status, or buying intent.
Claim the account is ready to buy.
Present the score as a conversion prediction.
Include excluded accounts.
Force personalization when the data is weak.
7. OUTPUT FORMAT
Return:
- Account prioritization table
- Company enrichment
- Recent signals, if any
- Explainable recommendation score with breakdown
- Confidence level
- Next-best action
- Starting contacts, if available
- Recommended outreach angle
- Excluded accounts and why
Do not invent companies, contacts, emails, phone numbers,
signals, scores, or recommendations. If Lusha cannot verify
a company, contact, or signal, mark it clearly.
