Sequel AI Intelligence

Someone registers for your webinar. They attend. They ask a question about pricing during the Q&A. After the session, they visit your product page. The next morning, they come back and watch part of the replay.

This person is giving you a concrete signal, telling you exactly what they care about.

Most teams will never see that full picture. The registration goes into one report. The attendance goes into another. And then their question gets buried in a chat log while website visits sit in analytics.

By the time someone on the sales team follows up, the context is gone and the outreach is generic. The signals exist, but nothing connects them, interprets them, or tells your team what to do with them.

Starting today, that changes.

The Problem With Engagement Data That Stays in Reports

B2B marketing teams have gotten good at generating engagement. Webinars are driving attendance and content is getting consumed. Events are even creating real conversations with real buyers.

The breakdown happens after the engagement occurs.

When a webinar ends, marketing has an attendance list, some poll responses, a handful of questions from the chat, and maybe some replay metrics a few days later. Sales gets a spreadsheet or a CRM record that says “attended.”

The attendee who asked two questions, clicked your case study CTA, and visited your pricing page the next day looks identical in the CRM to the person who joined for three minutes and left. Both say “attended,” and yet neither tells a rep where to focus or what to say.

For teams running a few webinars a quarter, manual review is manageable. Someone on the marketing team can skim the attendee list, eyeball the engagement, and flag a few names for sales.

But for teams running webinars weekly, or across multiple regions, or as a core part of their pipeline strategy, manual interpretation doesn’t scale. Follow-up gets delayed and outreach becomes generic. High-intent prospects get the same templated email as everyone else.

The cost of that gap is pipeline you already earned but never captured.

Why Activity Data Isn’t Intelligence

Most webinar and event platforms do provide engagement data:

• Attendance reports
• Session duration
• Poll participation
• Chat activity.

That covers what happened.

The harder question is what it means.

Teams still have to manually interpret dozens of individual activities to figure out which attendees are worth prioritizing. They have to cross-reference event behavior with CRM records. They have to decide, on their own, what the right follow-up is for each person. And they have to do all of that before the buyer’s interest fades.

Some teams build workarounds with manual scoring rubrics. They assign someone to review every attendee list and export data into spreadsheets and try to piece together the story.

The result is that even teams with strong webinar programs still have a manual dependency between engagement and action. The data exists, sure; but the interpretation is where things fall apart.

AI Intelligence Closes the Gap

AI Intelligence is a new layer within the Sequel platform that turns webinar and website engagement into buyer intelligence your team can actually use.

It builds on Audience Insights, Sequel’s underlying data layer. When you integrate Sequel with your website and connect Google Tag Manager, Audience Insights tracks total website traffic, traffic driven by events, and where leads go before, during, and after your webinars, including which pages they visit and whether they’re looking at your pricing or features.

AI Intelligence runs on top of that data.

You control when it runs. AI Intelligence can run after an event ends, on a recurring schedule (for example, every 24 hours), or when leads generate new activity like on-demand views or page visits. You configure the timing inside Sequel, so intelligence can run continuously rather than only as a one-time post-event step.

Instead of handing your team raw activity data and asking them to figure out what it means, AI Intelligence interprets engagement signals automatically and delivers three outputs.

The first is a Sequel Score.

It rates each contact and account based on behavioral signals, not just whether they attended, but how they engaged, what they clicked, what questions they asked, and what they did on your website before and after the event. The score is customizable, so you can adjust it to reflect what matters most for your pipeline.

The second is an AI Engagement Summary.

The system synthesizes everything it knows about a lead (which pages they visited, what they said or asked during a webinar, what they voted on in a poll, even how they reacted during the session) into a plain-language summary. Every lead gets a clear write-up of what happened and why it matters, instead of a list of activities to scroll through.

The third is a Recommended Next Step.

Based on the engagement pattern, AI Intelligence suggests a specific follow-up action, such as sending a particular resource or booking a demo when a lead looks highly engaged.

The AI Engagement Summary and Recommended Next Step both sync into Salesforce. You map them to a long-text field at the lead or contact level inside Sequel, and the system pushes them automatically when intelligence runs. From there, your BDRs or sales team can pick them up and reach out.

It also gets better the more you use it.

Why This Works Differently on Sequel

There’s a reason AI Intelligence produces stronger signals than what you’d get from other platforms.

Sequel webinars run directly on your website.

That means Sequel doesn’t just see what happened during the event. It sees what happened before, which pages someone visited and what content they consumed, and what happened after, whether they came back to your site, watched the replay, or clicked through to a product page.

That full behavioral picture, tied to a single contact record, is what makes the scoring and summaries useful. A score built on attendance plus website behavior plus content engagement plus post-event activity gives you a far more reliable signal than one built on attendance alone.

Competitors operating on their own domains can’t do this because they don’t have access to the broader behavioral context. They see the event. Sequel sees the journey around it.

How Lead Data Gets Enriched

AI Intelligence works from enriched lead data. Sequel handles enrichment in a few ways: through form submissions, through its own enrichment APIs, and through your existing tools. If you use enrichment providers like Clay or ZoomInfo, you can bring them in through the Sequel marketplace to add to the picture.

All of this data is tracked at the lead level, so you can see every page visited, every webinar registered for and attended, and every email sent. Sequel also aggregates this at the account level, pulling together all the leads from a specific account you’re going after into one view.

What You Can Now Do

After every event, AI Intelligence assigns a weighted intent score to each contact based on engagement quality. Sales can sort by score and know where to start, without waiting for marketing to manually review the attendee list.

Instead of calling a prospect and saying “I saw you attended our webinar,” reps can reference what the prospect cared about, what they engaged with, and why they’re worth talking to. Outreach gets more personal. Conversion improves.

AI Intelligence also aggregates engagement across multiple contacts from the same company. When three people from the same account attend different sessions, ask different questions, and visit different product pages, that pattern becomes visible at the account level.

On the CRM side, once Salesforce field mapping is configured, the entire workflow runs without intervention. Engagement captured, intelligence generated, CRM updated. No post-event export ritual.

How Teams Will Use This

A demand generation team running a weekly webinar series stops reviewing attendee lists manually. After each session, AI Intelligence scores every lead and pushes summaries into Salesforce. SDRs open their CRM Monday morning and see exactly which prospects from last week’s webinar showed the strongest buying signals, along with what they engaged with and a suggested next step.

A marketing operations team eliminates their post-event data workflow entirely. Before AI Intelligence, they spent hours after every event exporting data, cleaning records, and manually enriching CRM entries. Now the intelligence flows automatically. Field mapping is configured once. Every event after that updates Salesforce without anyone touching a spreadsheet.

A CMO preparing for a quarterly business review pulls pipeline attribution data that connects specific webinar engagement to specific opportunities. Instead of saying “our webinar program generated 500 attendees,” they can show which attendees turned into pipeline, what engagement patterns preceded conversion, and how event investment maps to revenue outcomes.

A field marketing team running a regional event series tracks engagement not just during the live sessions but through replays and post-event website visits over the following days. Some of the highest-intent prospects never attended live. They watched the replay, visited the pricing page, and came back twice. AI Intelligence captures those signals and surfaces them alongside live attendee data.

An account executive preparing for a call pulls up a prospect’s Salesforce record and reads the AI Engagement Summary. It explains that the prospect attended two sessions, asked a question about integrations, clicked the ROI calculator CTA, and visited the pricing page the following day. The recommended next step suggests a personalized demo focused on the integration use case. The rep walks into the call already knowing what the prospect cares about.

Getting Started

If you’re already using Sequel with Salesforce, getting started involves configuring field mapping to determine where the AI Engagement Summary and Recommended Next Step appear in your CRM records. Once that’s set, the workflow runs automatically when intelligence runs.

If you’re not yet using Salesforce with Sequel, AI Intelligence still generates scores, summaries, and recommendations inside the Sequel platform. CRM activation is available whenever you’re ready to connect.

Rollout is guided. Your Customer Success Manager can walk you through setup, field mapping, and how to get the most out of intelligence across your team.

Where This Fits in the Platform

This release follows the same logic that led Sequel to put webinars on your website in the first place. When engagement happens on your domain, you capture richer data. Audience Insights gave you visibility into who’s engaging and how. AI Intelligence now turns that engagement into scored, summarized, and recommended outputs your team can act on the same day.

If you’re a current customer, talk to your CSM about getting started. If you’re evaluating Sequel, this is a good example of what becomes possible when your event platform and your website share the same data.

Book a demo to learn more about Sequel.

Frequently Asked Questions

What is Sequel AI Intelligence?

AI Intelligence is a new layer within Sequel that analyzes webinar and website engagement to generate intent scores, engagement summaries, and recommended next steps. It helps marketing and sales teams figure out which prospects to prioritize and what to say to them.

How is AI Intelligence different from webinar analytics?

Webinar analytics show what happened during an event: attendance, engagement metrics, poll responses. AI Intelligence interprets those signals and turns them into recommendations that help teams decide where to focus and what to do next.

Does AI Intelligence require Salesforce?

No. Sequel Scores, engagement summaries, and recommended next steps are all available inside Sequel without Salesforce. Salesforce is required only if you want those outputs automatically pushed into your CRM records.

What data does AI Intelligence use?

Because Sequel runs on your website, AI Intelligence can analyze a broader set of signals than traditional webinar platforms. That includes pre-event website visits, live session participation, questions asked, CTA clicks, poll responses, reactions during the session, replay consumption, and post-event website activity, all tied to a single contact record.

When does AI Intelligence run?

You decide. It can run after an event ends, on a recurring schedule such as every 24 hours, or when a lead generates new activity like on-demand views or page visits. You configure the timing inside Sequel.

How does AI Intelligence help sales teams?

Instead of reviewing attendance reports, reps receive an engagement summary, a recommended next step, and an intent score for each prospect. They know what a prospect cared about and what to do next before making the first call.

Can AI Intelligence identify account-level buying activity?

Yes. It aggregates engagement across multiple contacts from the same company. This helps teams see when several stakeholders from one account are engaging, even if no single person looks like a hot lead on their own.

Does it require manual setup after each event?

No. Once Salesforce field mapping is configured, AI Intelligence processes engagement, generates outputs, and updates CRM records without intervention.

How is the Sequel Score calculated?

It’s based on behavioral signals weighted by engagement quality: session attendance, content consumed, questions asked, CTA interactions, and post-event website activity. The score is customizable, so you can adjust the weighting to reflect what matters most for your pipeline.

Is AI Intelligence available now?

Yes. Contact your Customer Success Manager or book a demo to get started.