The AI Voice Agent Performance Benchmark
We analyzed 164,811 real calls placed and answered by MediaBloom AI voice agents over a recent two-month window. Here is what AI calling actually looks like at scale — the volume, the outcomes, and the cost.
Drawn from production data across our deployments. MediaBloom has built 500+ AI agents for 300+ companies to date.
Key findings · ~60-day window
About 2,747 calls every day, fully automated, inbound and outbound.
Qualified meetings booked straight onto calendars by the AI.
Warm hand-offs to a human at the moment of intent.
Share of answered calls that ended in a booking or a transfer.
The AI cost behind each booked appointment or live transfer.
Roughly $31,500 in labor value at a $35/hour assumption.
What AI calling looks like at volume
Over the window, MediaBloom AI voice agents handled 164,811 calls — about 2,747 every single day, without a single human dialer. That added up to roughly 53,998 minutes, or close to 900 hours of live phone conversation that no person had to staff.
The mix is overwhelmingly outbound. Of every call, 97.3% were outbound (reactivation, speed-to-lead, and appointment-setting campaigns) and 2.7% were inbound calls answered on demand.
Average call length across all dials was 19 seconds — held down by the large share of outbound dials that ring out unanswered, which is normal for cold outbound at this scale. Answered conversations run considerably longer.
From dial to booked meeting
Volume only matters if it converts. Across the window the agents produced 1,965 positive outcomes — a concrete next step on the calendar or with a human rep — broken down as 1,093 booked appointments and 872 live transfers.
Measured against calls that were actually answered, the agents converted 14.4% into a booking or a transfer. That is the number that matters most: when a real conversation happens, roughly one in seven ends in forward motion.
For context on the channel, the outbound answer rate over this dataset was about 7% — typical for high-volume cold outbound, where most dials go to voicemail. The AI keeps dialing tirelessly so the answered conversations, and the outcomes, add up.
The economics of an AI that never sleeps
The headline efficiency number: each positive outcome cost $3.94 in AI to produce. A booked appointment or a warm transfer for the price of a coffee is a different unit economics than a human dialing team can reach.
The other half of the story is time. Those 900 hours of conversation represent work a human team did not have to do — roughly 900 hours saved, or about $31,500 in labor value at a conservative $35 per hour. That capacity gets redirected to the conversations that actually need a person.
How to read these numbers
- Positive outcome = a booked appointment or a live transfer to a human. It does not count callbacks, voicemails, or interested-but-not-booked calls.
- Cost per outcome reflects AI and telephony cost only, not the price of a MediaBloom engagement.
- Hours and value saved use the talk time the AI handled and a $35/hour labor assumption; your own loaded cost may be higher.
- Figures are a recent ~60-day production snapshot, not a lifetime total, and will vary by industry, list quality, and campaign design.
Benchmark FAQ
What is this AI voice agent benchmark based on?
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What counts as a "positive outcome"?
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How much does an AI voice agent cost per booked appointment or transfer?
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Can AI voice agents handle both inbound and outbound calls?
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Put these numbers to work
Speed-to-Lead AI
Engage every new lead in seconds, around the clock.
Reactivation AI
Turn the dead leads in your CRM into booked appointments.
Cold Outbound Campaigns
High-volume AI calling that books meetings while you sleep.
New-lead ROI calculator
Estimate the appointments and ROI for your own numbers.
Cost Per Lead (glossary)
How to measure and lower your acquisition cost.
Compare AI voice platforms
See how MediaBloom stacks up against the alternatives.
Want numbers like these for your pipeline?
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