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Prompt

Turn a conference attendee list into verified leads

Time to build: 4 min
Difficulty: Easy
Tools: Claude ▪ Gmail ▪ Lusha

Images on this page are for illustrative purposes only. Example outputs in this play are illustrative — the structure, fields, and format reflect real Lusha connector and Gmail output, but were not pulled from a live session. Run the prompt with your own event list and connectors to see live results. Personal details in any live examples are masked or abbreviated for privacy.

A badge scan list is raw data — names, companies, and inconsistent titles that arrive in a PDF three days after the event. This Claude prompt enriches every attendee via Lusha, scores each against ICP criteria, checks Gmail for any prior contact, and drafts a specific first-touch email for every Grade A and B attendee — referencing the event honestly, whether the rep met the person in person or not.

The prompt

Open in Claude Open in ChatGPT 
<context>
I have a list of attendees from a conference or event. Before I reach out to any of them, I want to enrich the list with verified contact data, score each attendee against my ICP, and have a personalized first-touch email ready for the best ones — referencing the event specifically.

My event list:
- Event name: [EVENT NAME]
- Attendee list: [PASTE NAME, COMPANY, TITLE (if known), EMAIL (if known) — one per line]
- What I sell: [PRODUCT / SOLUTION]
- ICP criteria: [SIZE / INDUSTRY / FUNCTION / SENIORITY]
- Did I meet any of these people at the event? [YES — LIST WHO / NO]
</context>

<task>
1. For each attendee, use Lusha to enrich and validate:
   - Current verified title — does it match the badge scan?
   - Verified work email and direct phone
   - Company: headcount, industry, HQ location
   - ICP fit: does the company and role match my stated criteria?

2. Score each attendee:
   - A: strong ICP fit, decision-maker, all fields verified
   - B: ICP fit, influencer level or partial fields
   - C: partial ICP fit or unverified
   - D: outside ICP — don't route to outreach

3. Check Gmail for any prior contact with each attendee or their company domain.

4. For every Grade A and B attendee, draft a first-touch email:
   - Subject: references the event by name — not "Following up"
   - Opening: one sentence that places the event context honestly
   - If we met in person: reference the specific conversation
   - If we didn't meet: acknowledge the shared event without pretending otherwise
   - Body: one specific reason this conversation is relevant given their role and company
   - Closing: one low-friction ask
   - Under 80 words

5. Return:
   - Enriched attendee table with ICP grade and verification status
   - First-touch drafts for Grade A and B attendees
   - Prior Gmail thread flags per attendee
   - Summary: X Grade A, X Grade B, X to skip
</task>

<constraints>
- Never pretend we met if we didn't. The opening must be honest about the event context.
- Grade D gets no draft and no outreach recommendation.
- Under 80 words per email. Count them.
- Flag title mismatches between badge data and Lusha — badge scans are frequently inaccurate.
</constraints>

What you'll get back

The situation: An SDR returns from RevOps Summit with a badge scan list of 6 attendees. Selling sales intelligence software into RevOps and Sales Operations, VP level and above. Met 2 people at the event; the rest are names from the badge scan PDF.

Enriched attendee table

AttendeeCompanyBadge titleVerified titleGradeNote
R.V.Crestline SoftwareHead of OperationsVP Revenue OperationsA⚠ Title mismatch — badge was generic
T.K.Dunmore AnalyticsVP SalesVP of Sales ✓AMet in person ✓
M.L.Ashford PlatformsOperationsHead of Sales OperationsB⚠ Prior Gmail thread — flagged below
P.O.Briarwood SaaSVPVP of Sales ✓B—
C.N.Elmont SystemsDirectorDirector of RevOpsCBelow VP threshold
[Badge: “John S.”]Unknown———NOT FOUND — name doesn’t resolve

Summary: 2 Grade A · 2 Grade B · 1 Grade C · 1 unresolvable

Prior contact flag

M.L. at Ashford Platforms: Gmail shows a thread from 6 months ago — a colleague sent pricing information, no reply was received. Flag to the rep before sending. The email should reference the prior contact rather than treating this as a cold intro from the event.

First-touch drafts

R.V. — Crestline Software · Grade A · Didn’t meet

To: r.v@[crestline].com Subject: RevOps Summit — we were both there but didn’t connect

Hi R.V.,

We were both at RevOps Summit but didn’t get a chance to meet. As VP RevOps at Crestline, the data quality conversation is probably a recurring theme. Worth 15 minutes to see if it’s relevant?

[Name]

T.K. — Dunmore Analytics · Grade A · Met in person

To: t.k@[dunmore].com Subject: Good to meet you at RevOps Summit

Hi T.K.,

Enjoyed the conversation at the Summit. You mentioned the SDR data layer was on the Q3 list — happy to show you what that looks like in practice.

15 minutes this week?

[Name]

P.O. — Briarwood SaaS · Grade B · Didn’t meet

To: p.o@[briarwood].com Subject: RevOps Summit — a belated introduction

Hi P.O.,

We didn’t cross paths at RevOps Summit, but we were both there. Selling into Sales leadership at companies your size is our focus — curious whether the data quality side of the stack is on your radar.

Quick call?

[Name]

Illustrative example — fictional company names used. Run with your own event list to see live results.

Why use Lusha in Claude

The R.V. badge scan shows “Head of Operations” — a title so generic it tells the rep nothing about seniority or function. Lusha returns “VP Revenue Operations” — a title that changes the entire email and confirms the attendee is a Grade A decision-maker. Without the Lusha check, R.V. looks like a vague operations contact. With it, the rep knows to prioritize the call. The M.L. prior contact flag is the other finding that changes behavior: without it, the rep sends a “nice to meet you at RevOps Summit” email to a company where a colleague already sent pricing information 6 months ago. The event framing masks the prior relationship. Lusha + Gmail surfaces it before the send.

Data drawn from 280M+ verified contacts under GDPR, CCPA, SOC 2, ISO 27701, ISO 31700, and TRUSTe.

FAQ

  • Send within 5 business days of the event. Beyond 2 weeks, “we were both at RevOps Summit” loses its relevance and the email should shift to a direct cold outreach framing rather than an event reference. The event context is strongest in the first week — use the window.

  • The prompt searches for the most relevant verified contact at each company in Lusha. The opening line shifts from “we were both at [Event]” to “I saw your company was represented at [Event].” Less personal but still grounded in the event context.

  • Run in batches of 15–20. The enrichment and scoring logic is consistent across batches and the output format stays the same, so combining results from multiple runs is straightforward.

  • Sending “great to meet you at the Summit” to someone you didn’t actually speak to is easy to detect — and the recipient notices. A rep who opens with “we were both at the Summit but didn’t connect” is more memorable than one who pretends a conversation happened. The honest opener works because it’s specific without being presumptuous.

  • The enrich lead list before import prompt is designed for CRM import — it fills fields and ICP-scores before data enters the system. This prompt is designed for outreach — it enriches, scores, checks prior contact, and drafts the first email in one pass. Use the import prompt when the goal is clean CRM data; use this one when the goal is pipeline from the event list.

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