Start from Lusha in ChatGPT or type @Lusha before sending.
@Lusha Prioritize these webinar registrants before sales
follow-up.
WEBINAR DETAILS:
Webinar topic: [topic]
Main problem discussed: [one sentence]
Offer or next step: [demo / report / workshop / product
page / consultation / other]
REGISTRANT LIST:
Paste registrants in this format:
1. [Name] | [Email] | [Company] | [Title] | [Attended live? yes/no] | [Engagement notes, if any]
2. [Name] | [Email] | [Company] | [Title] | [Attended live? yes/no] | [Engagement notes, if any]
3. [Name] | [Email] | [Company] | [Title] | [Attended live? yes/no] | [Engagement notes, if any]
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: [students, consultants, competitors, vendors,
small companies, existing customers, poor-fit segments, etc.]
MY PRODUCT:
[One sentence describing what you sell and the problem
it solves]
Using Lusha, do the following:
1. VERIFY EACH REGISTRANT
For each registrant, confirm:
- Current company
- Current title
- Department
- Seniority
- Location
- LinkedIn profile if available
- Whether the submitted title and company match the
verified profile
Flag:
- Personal email
- Title mismatch
- Company mismatch
- Contact no longer at company
- Contact outside target persona
- Contact could not be verified
2. ENRICH EACH COMPANY
For each verified 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 webinar topic 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 EACH REGISTRANT
Assign one score:
Hot:
Verified target persona + strong ICP fit + attended live
or engaged + relevant buying signal.
Warm:
Verified target persona + good ICP fit, but weak or no
recent buying signal.
Nurture:
Partial ICP fit, junior title, low engagement, or unclear
timing.
Review:
Data mismatch, personal email, unclear company, or
incomplete verification.
Exclude:
Competitor, vendor, student, poor fit, unverified, or
disqualified.
5. RECOMMEND ROUTING
For each registrant, recommend one next step:
- Route to AE now
- Route to SDR
- Add to nurture
- Review manually
- Exclude
Explain the reason in one sentence.
6. WRITE FOLLOW-UP COPY
For Hot and Warm registrants, write one short follow-up
email.
Subject line:
Under 7 words.
Body:
Under 100 words.
Reference the webinar topic or engagement context.
Connect it to the strongest account signal when relevant.
End with one clear, low-friction next step.
For Nurture registrants, write one nurture angle instead.
For Review or Exclude, do not write sales follow-up.
Do not:
Invent attendance, questions, signals, pain points, or
company context.
Say "I saw you attended" if attendance is unknown.
Overstate what a buying signal proves.
Use generic "thanks for joining" copy for every lead.
7. OUTPUT FORMAT
Return:
- Registrant prioritization table
- Verification status
- Company enrichment
- Buying signals, if any
- Score
- Routing recommendation
- Follow-up email or nurture angle
- Exclusions and why
Do not invent contacts, companies, emails, phone numbers,
attendance data, engagement notes, or signals. If Lusha
cannot verify a registrant, mark it clearly.
