Every sales call generates data. You're throwing most of it away.

Convexia processes your recorded sales calls and extracts structured insights — objections, questions, competitor mentions, commitments, and next steps. Automatically, for every call.

Call Analysis — Meridian Software Demo34:12 · Mar 4, 2025
OBJECTION"We're locked into a contract with [Competitor] until Q3" — raised at 12:40
QUESTIONAsked about SOC 2 compliance and data residency options — 18:22
COMPETITORMentioned Salesforce (current CRM) and HubSpot (evaluated last year) — 8:15, 21:30
COMMITMENT"We'd want to pilot this with the east coast team first" — 28:44
NEXT STEPAgreed to send security docs by Friday and schedule a follow-up with their CTO — 31:10
Sentiment: PositiveTalk ratio: 42/58Engagement: High

Your team records every call. Almost nobody reviews them.

Most sales teams have call recording turned on. The recordings pile up in Zoom, Teams, or Gong. A manager might listen to one or two a week. The rest sit untouched — full of insights about why deals stall, what objections keep coming up, and where reps need help.

The data is there. It's just locked inside hours of unstructured audio.

<5%
of recorded calls are ever reviewed
2.3x
more objections surface than reps report
67%
of lost deals share the same 3 objections

Structured intelligence from unstructured conversations.

Every call is processed and broken down into searchable, trackable data points — automatically, within minutes of the call ending.

🛑

Objections

Every concern, pushback, and hesitation the prospect raised — tagged with timestamp and context.

Questions asked

What the prospect wanted to know. Surfaces gaps in your pitch and reveals what matters to them.

🎯

Competitor mentions

Every time a competitor was named, compared, or referenced — with what was said about them.

📊

Pricing discussions

When pricing came up, how the prospect reacted, whether discounts were discussed, and anchoring points.

Commitments & next steps

What both sides agreed to do. Follow-ups promised, timelines mentioned, stakeholders to loop in.

📈

Sentiment & engagement

Overall call sentiment, talk-to-listen ratio, engagement signals, and energy shifts throughout the conversation.

From recording to structured data.

Connect your call recordings. Convexia handles transcription, analysis, and extraction automatically.

01

Connect your recordings

Integrate with Zoom, Teams, Google Meet, Dialpad, or upload recordings directly. Calls are ingested automatically after they end.

API webhooks for major platforms. Batch upload via S3 or direct file.
02

Transcribe & analyze

Audio is transcribed with speaker diarization, then processed through an extraction pipeline that identifies objections, questions, competitors, and more.

Whisper-grade STT + custom NER + LLM extraction layer.
03

Deliver structured output

Each call produces a structured analysis — viewable in the dashboard, pushed to your CRM, or queried via API. Data aggregates across your team over time.

JSON output. CRM webhook. Dashboard with team-wide trends.

Different role, different insight.

The same call data serves different purposes depending on who's looking at it.

Sales Leader

See what's actually happening on calls.

Without listening to every recording, know which objections are trending, where deals are stalling, and which reps need coaching.

Team-wide objection trends by week/month
Compare how different reps handle pricing
Identify coaching opportunities from real calls
Correlate call patterns with deal outcomes
Sales Rep

Learn from every conversation.

Get an instant debrief after each call — what you committed to, what the prospect cared about, and what to prep for the follow-up.

Auto-generated call summaries and next steps
See which objections you face most often
Track commitments made across active deals
Prep for follow-ups using past call context
Rev Ops

Structured data from unstructured calls.

Feed call intelligence into your pipeline models. Understand which conversations predict closed-won vs. closed-lost.

Call data synced to CRM fields automatically
Pipeline risk signals from conversation patterns
Competitor intelligence aggregated across deals
API access for custom reporting and models
Case Study

A mid-market SaaS team discovered 67% of their lost deals shared the same three objections — they just couldn't see it before.

18 AEs. $12M ARR. 200+ sales calls recorded every month. The VP of Sales knew the recordings existed but had no scalable way to learn from them. Win/loss reviews relied on CRM notes that reps wrote from memory, often hours after the call.

After connecting Convexia to their Zoom workspace, every call was automatically transcribed, analyzed, and broken down into structured data. Within the first month, three patterns emerged that nobody had documented.

100%
of calls analyzed (up from ~15%)
4 min
follow-up prep (down from 20 min)
6x
more objections surfaced per quarter

The biggest finding: three objections appeared in 67% of lost deals — contract lock-in with a competitor, budget already allocated, and IT bandwidth concerns. These were invisible in CRM data because reps logged them inconsistently. Convexia extracted them from every call automatically.

Apex Industries — Discovery Call41:08 · Feb 27, 2025
Objections (3)
“Change fatigue from recent implementation”
“Budget already allocated this quarter”
“IT team stretched thin for sign-off”
Commitments & Next Steps
Prospect to share workflow doc by Monday
Rep sending ROI calc + manufacturing case study
Follow-up Mar 6 with VP of Sales present

The sales team now runs weekly objection reviews based on real data. Reps get automatic next-step reminders after every call. Rev ops feeds call signals directly into their forecasting model.

See what your sales calls are actually telling you.

Send us a sample of recorded calls. We'll analyze them and show you the patterns your team is missing.

Start a conversation →