How do you score webinar registrants using Apollo?

Export your registrant list, enrich it in Apollo with job title, company size, industry, tech stack, and intent signals, then apply a point-based scoring model. Route high-scoring contacts to immediate SDR outreach and lower scores to automated nurture.

What Apollo data points matter most for webinar registrant scoring?

Job title match to your primary persona (highest weight), company size in ICP range, industry fit, active intent signals in your topic category, and attendance data (whether they showed up live) are the five most predictive signals.

What is a good Tier 1 contact-to-meeting conversion rate after a webinar?

For a well-filtered event audience with good ICP alignment, Tier 1 attendees who attended live should convert to meetings at 10 to 25%. Below that range usually indicates an audience targeting issue or a weak follow-up message.

How does live attendance affect webinar registrant scoring?

Live attendees convert at significantly higher rates than no-shows, even at the same ICP score. Add positive score points for live attendance, Q&A participation, and poll responses to surface the highest-intent contacts.

What is the difference between scoring with Apollo versus Clay for webinar follow-up?

Apollo provides the sequence execution and contact enrichment. Clay adds waterfall enrichment for contacts Apollo cannot match and additional signal layers. For most event programs, Apollo alone covers 80-90% of registrant enrichment needs.

Scoring Webinar Registrants with Apollo Signals for B2B Outreach (2026)

Why Registrant Scoring Changes Everything in Post-Event Follow-Up

Running a B2B webinar and following up with every registrant equally is one of the most common and most costly mistakes in event-led pipeline programs. A registrant who is a CMO at a 500-person cybersecurity company deserves a different follow-up than a student researcher who registered from a university email.

Apollo signals make it possible to score every registrant before your follow-up sequence starts, so your sales team focuses its first-day effort on the accounts that are actually likely to convert.

Step 1: Export and Enrich Your Registrant List

After your event, export the registrant list from your event platform (Zoom, Hopin, LinkedIn Events, On24) as a CSV. The minimum fields you need are: name, email, company name.

Import that list into Apollo using the bulk match or people upload feature. Apollo will match the email addresses to existing contact records and enrich them with:

Job title and seniority level
Company size (headcount and revenue estimates)
Industry and sub-vertical
Technology stack (what tools they use)
Intent signals (if Apollo intent is enabled for your account)
LinkedIn profile URL

This enrichment typically completes within minutes for most contact lists. For accounts Apollo cannot match, Clay can fill in the gaps through waterfall enrichment against additional data sources.

Step 2: Build Your Scoring Model in Apollo

Apollo does not have a native "score" field, but you can build a scoring proxy using custom fields and filters. The simplest approach is to create a score value in your CRM and populate it based on Apollo-enriched data.

Scoring criteria for typical B2B webinar registrants:

+20 points: Job title matches your primary ICP persona (CISO, VP Engineering, Head of Security, etc.) +15 points: Company size in your target range +15 points: Industry matches your primary vertical +10 points: Technology stack shows use of adjacent or complementary tools +15 points: Active intent signal in relevant topic category in last 30 days +10 points: Attended live (not just registered) - cross-reference your attendance data -10 points: Student or academic email -15 points: Company size outside ICP range -15 points: Industry mismatch

Contacts scoring 55 or above go into Tier 1 (immediate SDR outreach, personalized email day one). Contacts scoring 30-54 go into Tier 2 (automated follow-up sequence with softer content offer). Below 30 go into a newsletter nurture.

Step 3: Trigger Apollo Sequences by Tier

Within Apollo, set up three distinct sequences mapped to your scoring tiers.

Tier 1 sequence: Four steps over 10 days. Personalized email on day 1 referencing a specific moment from the event. LinkedIn connection on day 3. Follow-up email on day 6 with a specific, relevant resource. Final touchpoint on day 10 with a meeting ask.

Tier 2 sequence: Three steps over 21 days. Automated email with a content asset tied to the event topic. LinkedIn message on day 10. Final email on day 21 with a softer ask (read our report, watch the on-demand recording).

Tier 3 sequence (nurture only): Add to your newsletter or monthly content email. No active sales follow-up.

Step 4: Prioritize Tier 1 Attendees Who Asked Questions or Polled

Cross-reference your Apollo scoring with event engagement data. Registrants who attended live, asked questions in the Q&A, or responded to polls are significantly more likely to convert than passive registrants at the same ICP score.

If your event platform provides engagement data, add it to the scoring model: +15 points: Asked a question during the live event +10 points: Responded to a poll +5 points: Stayed for more than 80% of the session

This combined scoring model ensures your day-one outreach goes to people who showed up, paid attention, and engaged, the registrants most likely to take a meeting.

What Results to Expect

LinkedOtter generates 754 webinar signups in 26 days with more than 100 from target accounts, and 43 qualified meetings in 60 days. A well-executed Apollo scoring and sequencing workflow after an event converts at rates that mass follow-up approaches cannot match.

The key metric to track is Tier 1 contact-to-meeting rate. For a well-filtered event audience, this should be 10 to 25% for Tier 1 contacts who attended live. If you are below that range, the issue is usually either audience targeting before the event or message relevance in the follow-up.