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Case study: how an edtech platform hit 15.34x ROAS with AI voice agents

An edtech platform running webinar-driven enrolment could not get attendance above 9%, and follow-up calls were too slow to matter. Adding AI voice agents to the funnel changed both numbers, and the return on that spend came out to 15.34x.

Cloudgramam Teamยท28 July 2026
Case study: how an edtech platform hit 15.34x ROAS with AI voice agents

Webinar-driven enrolment has a well-known leak: most people who register never show up, and most who do show up never get a timely follow-up call. An edtech platform running exactly this funnel had both problems at once. Webinar attendance sat at 9 percent of registrants, and the team calling attendees afterward could not work the list fast enough for the calls to still matter.

This is what changed when AI voice agents took over the reminder and follow-up calling, and the numbers behind the 15.34x return.

The starting problem

Registrants signed up for webinars in meaningful volume, but only 9 percent actually attended. Of those who did attend, the sales team's follow-up calls happened whenever capacity allowed, often a day or more after the session, by which point the registrant's interest had cooled. The team could not scale reminder calls or same-day follow-up without adding headcount, and adding headcount for a task this repetitive was not an efficient use of budget.

What the AI voice agent programme did

Two calling motions ran on the platform. Reminder calls went out to every registrant the day before their scheduled webinar, confirming the session time and offering to answer any question before it started, the same discipline covered in webinar and event follow-up with voice AI. Follow-up calls went out to attendees within hours of the session ending, while the content was still fresh, referencing what the webinar covered rather than opening cold.

Both motions ran at volumes no human team could sustain, calling every registrant and every attendee rather than a sampled subset, and running the day before and the same day rather than whenever a rep found time.

The results

Webinar attendance rose from 9 percent of registrants to 15 percent, a meaningful lift attributable directly to the day-before reminder calls reaching people who would otherwise have forgotten or deprioritised the session. On the revenue side, the AI-driven outbound calling generated โ‚น11.4 lakh in attributed revenue against the cost of running the calling programme, a return of 15.34 times the spend.

The attendance lift alone explains most of the result. More attendees means more people who heard the actual pitch, which means more people in the follow-up pool with real, informed interest rather than a vague memory of registering weeks earlier.

Why the reminder call mattered more than expected

The team's original assumption was that follow-up calls, not reminders, would drive the return. The data told a different story. Attendance is the bottleneck that determines how large the follow-up pool is in the first place, and a 6-point lift in attendance compounds through the entire funnel. A follow-up call, however well executed, cannot recover revenue from a registrant who never showed up to hear the pitch.

This mirrors a pattern seen across other calling programmes: the highest-leverage call is often the proactive one placed before the moment that matters, not the reactive one placed after.

What made the follow-up calls convert

Calls placed within hours, not days, while the webinar content was still specific and recent in the attendee's mind. Referencing what was actually covered in that specific session rather than a generic pitch. And reaching every attendee, not a sampled subset chosen by whichever rep had capacity that day.

The combination of full coverage and speed is what a human team structurally cannot match at this volume, the same coverage argument covered in the speed-to-lead playbook.

What this does and does not prove

This result is specific to a webinar-driven edtech funnel with an existing audience and a clear, compelling session to promote. It does not mean every calling programme returns 15 times its cost, and it should not be read that way. What it does show is that the two highest-leverage moments in a funnel like this, the reminder before the event and the follow-up right after, are exactly the moments a human team struggles to cover at full volume and speed, and exactly where an always-on system pays for itself fastest.

Frequently asked questions

How was the โ‚น11.4 lakh in revenue attributed to the calling programme specifically?

Revenue was tracked against enrolments that followed a webinar attendance and an AI-placed follow-up call, compared to the calling programme's cost, to produce the 15.34x figure.

Would this work for a webinar without an existing registrant base?

The reminder and follow-up calling motions apply to any registrant list, but the underlying webinar still needs to be compelling enough to convert once people attend. The calls lift attendance and follow-up speed, they do not substitute for a good session.

How long did it take to see this result?

The attendance lift showed up within the first few webinar cycles once reminder calls were running consistently. The full ROAS figure reflects results measured over a defined campaign period.

Can a smaller edtech business run the same playbook?

Yes, the reminder and follow-up calling motions scale down to smaller registrant lists the same way they scale up, the cost is usage-based rather than requiring a large upfront commitment.

See how reminder and follow-up calling runs on the AI voice agent platform, or model your own webinar funnel numbers with the ROI calculator.

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