What Analytics Do AI Voice Agents Actually Track?
A good AI calling dashboard should tell you two things at a glance: is this campaign working, and what should my team do next. That means connection rate, an outcome for every call (not just "completed"), and full per-call detail — recording, transcript, and summary — when you need to check one specific conversation. Here's exactly what Vyora's dashboard tracks, with no invented metrics.
Ratnam, Founder · Vyora AI
At a glance
6 outcomes
Every call auto-classified
8 fields
Recorded per individual call
CSV
Export filtered data anytime
The campaign-level numbers that matter
Connection rate
Connected calls ÷ dialed calls. The single number that tells you if your list, timing, or number reputation has a problem.
Total calls & credits used
What actually ran and what it cost, at a glance — no separate billing dashboard to check.
Best hour to call
Computed from your own campaign history — which hour of the day gets the highest connection rate for your specific list.
Daily trend + hourly heatmap
Call volume and connection rate charted by day and by hour, so a bad day (or a bad time slot) is visible immediately, not buried in a spreadsheet.
Outcome classification
Every completed call is auto-tagged: qualified lead, info requested, interested/unsure, not interested, callback requested, no response. This is what turns "we made 500 calls" into "we found 40 real leads."
Why "call completed" is a useless metric on its own
"We made 500 calls this week" tells you nothing about whether it worked. The number that actually drives a decision is what happened on those calls. Vyora auto-classifies every completed call into one of six outcomes:
That turns "500 calls" into "40 qualified leads, 60 callback requests, 30 asking for more info" — a worked list your team can prioritize, instead of a pile of recordings someone has to listen through one by one.
What you get on any single call
When you need to check one specific conversation rather than the aggregate, every call carries:
- ✓
Full audio recording, playable and downloadable
- ✓
Complete transcript, agent and customer turns
- ✓
AI-generated summary of what happened on the call
- ✓
Key points pulled from the conversation
- ✓
Action items — what needs to happen next
- ✓
Manual notes you or your team can add
- ✓
A follow-up flag to mark a lead for a callback
- ✓
Call history for that phone number, so you see prior context instantly
Best-hour-to-call: computed from your data, not a generic benchmark
Generic advice says "call between 10am and noon." Your actual audience might behave completely differently — a D2C list might answer best in the evening, a B2B lending list might answer best right after lunch. The dashboard's hourly heatmap and best-hour-to-call figure are computed from your own campaign history, so the recommendation reflects your real customers, not an industry-wide guess.
You don't need 25 metrics — you need 3 you trust
Enterprise contact-center tooling loves to pile on dozens of KPIs. In practice, tracking 25 numbers from day one usually produces 25 numbers nobody actually checks. For a lean team running outbound campaigns, three matter: connection rate (is the list and timing working), outcome mix (what did the calls actually produce), and leads worked vs leads sitting (is the follow-up flag being cleared). Everything else in the dashboard supports one of those three.
Frequently asked questions
Can AI voice agents track call analytics and insights?
Yes. Every call in Vyora is logged with duration, outcome, timestamp, and classification, and the dashboard rolls that into connection rate, daily trend, hourly heatmap, and a best-hour-to-call number computed from your own campaigns.
What is "outcome classification" and why does it matter more than call count?
"We made 500 calls" tells you activity. "We made 500 calls and got 40 qualified leads, 60 callback requests, and 30 who asked for more info" tells you what to do next. Vyora auto-tags every completed call into one of six outcomes, so your team works the list by priority instead of listening to every recording.
Can I export call data to build my own reports?
Yes — CSV export is available, filterable by campaign, agent, date range, status, and voicemail, so you can pull exactly the slice you need into your own reporting tool or spreadsheet.
Does the dashboard show me call recordings and transcripts, or just numbers?
Both. Every individual call has a playable/downloadable recording, a full transcript, an AI-generated summary, key points, and suggested action items — not just an aggregate number.
How do I know which time of day to run my campaign?
The dashboard computes a "best hour to call" figure directly from your own campaign history — not a generic industry benchmark — so it reflects when your specific audience actually picks up.
Do I need to track dozens of metrics to know if a campaign is working?
No — and trying to usually backfires. A handful of numbers everyone on the team trusts (connection rate, outcome mix, and the leads that came out of it) beats twenty-five metrics nobody checks. Vyora's dashboard is built around that small trusted set by default.
Key takeaways
- 01
Connection rate, outcome classification, and a self-computed best-hour-to-call are the core numbers — everything else supports them.
- 02
Outcome classification is what actually matters: it turns raw call volume into a worked list of qualified leads, callbacks, and info requests.
- 03
Every individual call carries a full recording, transcript, AI summary, key points, and action items — not just an aggregate stat.
- 04
CSV export lets you pull filtered data into your own reporting stack whenever you need something the dashboard doesn't show natively.
- 05
Fewer trusted numbers beat many unreliable ones — track the handful that actually drive a decision.
See your own dashboard — 50 free credits, no card
Run a real campaign and watch connection rate, outcomes, and best-hour-to-call fill in from your own data.
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PRICING
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Full cost breakdown — analytics and transcripts included, no add-on fees.