Analyze sales calls
with AI. From your real phone conversations.
Upload a real customer call as audio. Automatic speaker detection separates salesperson and customer, then the same 5-dimension scorecard as in roleplay scores the call, with a deterministically aggregated overall score. The bridge from practice to the real deal.
Audio uploadSpeaker detectionGerman data storageGDPR-compliant
Practice is good.
But how do you perform on a real call?
Roleplay sharpens technique. But under real pressure, a real customer, a real deal, real money, calls often look very different. Real Call Analysis closes exactly that gap.
Coaching stops after practice.
Roleplay goes smoothly. In the real call, reps fall back into old habits, and nobody notices, because nobody is listening in.
Call reviews are subjective and expensive.
A manager spot-checks a few calls, evaluates by gut feel: no shared benchmark, no comparison over time, no scalable feedback.
Practice score ≠ real-world score.
A rep who scores 90 in training but folds in a real deal needs a feedback system that measures both worlds with the same yardstick.
From real call to scorecard. In four steps.
No in-tool recording needed: you bring the recording, sip.coach handles the analysis.
Upload audio
Upload a recording of a real customer call, from a dialer, phone system, or conferencing tool. Each analyzed call costs one token, exactly like a roleplay session.
Automatic speaker detection
Diarization separates the audio track by speaker and assigns the roles of salesperson and customer. Only then is it clear whose sentences are being scored, and objective metrics like talk ratio are calculated correctly.
The same scorecard, objectively scored
The call is scored across the same 5 dimensions as a roleplay session. The overall score is deterministically aggregated with self-consistency evaluation (3 scoring runs, median, disclosed score spread). You choose the scoring framework (needs-question method, qualification grid, budget-and-decision check, pain-first method, teach and lead, closing mindset): the scoring follows it.
Specific feedback & missed opportunities
You receive a score, strengths, missed opportunities, and specific text-level feedback for each weak point: not "too little empathy," but exactly what was missing and at which moment. Immediately actionable on the next call.
One benchmark. Practice and reality, directly comparable.
Because roleplay and real calls use the same scorecard with a deterministically aggregated overall score, the training score is directly comparable to the real-call score. You see whether practice actually translates to the deal.
Voice Roleplay
AI persona with real objections. 5 dimensions, deterministically aggregated overall score, instant feedback.
- Risk-free: no real leads burned
- Repeat as many times as needed, adjustable difficulty
- Score across 5 dimensions + text-level feedback
Real Call Analysis
Real customer call as audio. Speaker detection, the same scorecard: proof in the field.
- Real pressure, real customer, real deal
- Identical scoring → directly comparable
- Targeted practice against real weak spots
What the analysis measures.
The same depth as in roleplay, applied to the real call.
Speaker Detection & Roles
Automatic diarization separates salesperson and customer. The scoring engine knows whose sentences it is evaluating, and talk ratio is calculated correctly.
5 Dimensions, objectively scored
Needs analysis, objection handling, value argumentation, closing strength, conversation management: AI-scored, then deterministically aggregated into an overall score with self-consistency evaluation (3 scoring runs, median, disclosed score spread).
6 selectable scoring frameworks
Needs-question method, qualification grid, budget-and-decision check, pain-first method, teach and lead, and closing mindset. Score the real call using the same methodology your team trains with.
Objective speech metrics
Talk ratio, question rate, filler words, hedge words, and vocabulary diversity complement the score: hard numbers instead of gut feeling.
Missed opportunities flagged
"Missed opportunities" highlight exactly where a closing signal, a discovery question, or a value bridge was absent, with a specific text-level callout.
German storage, works-council-friendly
Audio and transcripts are stored in Germany; individual processing steps (speech AI) are handled by data processors secured by data processing agreements and EU standard contractual clauses. Transcripts can be redacted and deleted under Art. 17 GDPR. Managers see aggregated team metrics; individual calls remain private by default.
The thinking behind Real Call Analysis
Training with the qualification grid is only half the battle: what matters is whether the skills practiced actually show up in the real deal. That's exactly what Real Call Analysis is for: real conversations are scored with the same scorecard, and the missed opportunities pinpoint precisely where a close was within reach.
Built with and for sales teams in the field.
Real Call Analysis: the essentials.
Start today with 2 free training sessions: 4 weeks to try it.
No credit card. Set up in 2 minutes. GDPR-compliant, data stored in Germany.