# How BIG School closes 38.5% of sales autonomously with AI voice agents
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**Vertical:** Education — online master's degrees
**Agent:** Virginia (VoiceB autonomous agent)
**Period:** March 2026 (31 days)
**Product:** Máster de Desarrollo con Inteligencia Artificial
**Geography**: Spain and LATAM
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### The challenge
[BIG School](https://thebigschool.com/) generates inbound demand at scale through paid acquisition campaigns. Every click-to-call lead represents a prospect who expressed interest moments earlier — a high-intent window that closes fast if no one picks up.
The traditional problem: contact centers are finite. Overflow means lost leads. Off-hours means lost leads. High agent turnover means inconsistent quality. And every call — whether it ends in a sale or a hang-up — consumes an agent's time.
VoiceB deployed Virginia, an autonomous AI voice agent, to handle 100% of inbound click-to-call traffic for the Máster de Desarrollo con IA. No queue. No wait time. No off-hours gap.
***
### Results — March 2026
38.5% autonomous close rate. 72.9% of traffic filtered before reaching a human agent. 100% conversion once the payment page was reached.
**38.5% autonomous close rate** — of all valid sales interactions, more than one in three were closed end-to-end by the AI agent, with no human involvement at any stage of the conversation.
**72.9% of all inbound traffic auto-filtered** — nearly three out of four calls were handled, classified, and resolved by the agent without consuming a single second of human agent time.
**100% conversion at payment page** — every call where Virginia successfully guided a lead to the payment page resulted in a sale.
**Average call duration on sold calls: 3m 33s** — a complete qualification, objection handling, and purchase guidance flow in under four minutes.
***
### How the autonomous close works
Virginia handles the full conversation from the moment the call connects:
1. Greets the prospect and identifies the product they enquired about
2. Answers questions on curriculum, pricing, payment options, access terms, and bonifications (including FUNDAE for employed learners)
3. Handles objections — payment from abroad, installment eligibility, cryptocurrency, VAT exemptions
4. Guides the prospect to the payment page and explains the checkout process
5. Classifies the outcome and writes structured data to the CRM
No script-reading. No hold music. No "let me check with a colleague." The agent knows the product and closes the conversation.
***
### What the agent detected in converted calls
Beyond the sale, Virginia tagged every call with structured intent signals. Among calls that converted to a sale:
* **75.7%** reached the payment page, guided there by the agent
* **40.5%** expressed explicit purchase intent mid-conversation
* **24.3%** requested additional product information before committing
* **13.5%** asked about FUNDAE corporate training bonification
* **5.4%** asked to speak to a human agent — and converted anyway
This data feeds back into script optimization. Every call is a labeled training signal for the next version of the agent.
***
### Benchmarks
BIG School's first-month autonomous close rate of 38.5% exceeds VoiceB's published energy benchmark of 30.4% (Holaluz).
Auto-filtered traffic reached 72.9%, compared to 78% for Holaluz after 12 months of optimization. \
\
For a first month of production — before any script optimization cycle — this is a strong baseline.
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### What comes next
The March results establish the baseline. The optimization levers available from here:
* **Script refinement** — using call-level outcome data to identify which objections preceded drop-offs and which topics correlated with conversion
* **Traffic quality analysis** — aligning ad targeting with the lead profiles that convert at the highest rate
* **FUNDAE flow** — nearly one in seven converted calls raised bonification questions; a dedicated script block for FUNDAE-eligible leads could meaningfully accelerate those conversions
* **Sustained traffic volume** — consistent daily lead flow unlocks statistically significant optimization cycles
***
*VoiceB is an Autonomous Sales Voice Agent (ASVA) platform. Virginia is a VoiceB-configured AI agent. All outcomes are classified by the VoiceB Outcome Engine — deterministic, auditable, and directly tied to performance-based pricing. Results from March 2026, real production calls only, test calls excluded.*
*Want to see how VoiceB performs in your vertical?* [*Book a demo*](https://cal.com/team/voiceb-demo/voiceb-demo)
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