Sales Call Analysis (LT)
Gong-style call analytics that actually understands Lithuanian - talk ratios, objections, next steps and coaching, from your own winning calls.
CALL #1147 - DEMO FOLLOW-UP · 23:41 · CONSENT LOGGED
Transcript - LT diarization
PARDAVĖJAS · 14:02
"…kaina prasideda nuo 900 eurų per mėnesį, priklausomai nuo apimties…"
KLIENTAS · 14:19
"Hmm, skamba brangokai, palyginus su tuo, ką turime dabar…"
⚑ OBJECTION · pricePARDAVĖJAS · 14:26
"Suprantu. O kiek jums realiai kainuoja dabartinis procesas?"
✓ DISCOVERY QUESTIONKLIENTAS · 14:41
"Tiesą sakant, neskaičiavome… Atsiųskite pasiūlymą - aptarsime penktadienį."
◷ NEXT STEP · Fri proposalCall scorecard
TALK RATIOrep 62% · target ≤ 50%
▲ your closed-won average: rep 45%
How it works
Record with consent
Your telephony, Meet or Teams. Consent is captured and logged before anything is analyzed; PII is redacted in transcripts.
Transcribe Lithuanian properly
LT-tuned speech recognition with your product vocabulary, speaker diarization, and LT/EN/RU code-switching handled.
Tag the moments that matter
Objections, pricing, competitors, discovery questions, commitments - each linked to its exact timestamp in the call.
Coach from your winners
Talk ratios and patterns benchmarked against your own closed-won calls - not generic sales folklore. Summaries and next steps sync to CRM in minutes.
Methodology reference
The published method this build is based on, and what it did in production.
Gong mined 1M+ recorded calls to surface the coaching signals that separate top reps (a 46:54 talk-to-listen ratio).
Conversation intelligence · as reported by Gong ↗
Referenced for methodology only. AimRank is not affiliated with, endorsed by, or a customer of these companies; each links to its own public source. Sources last checked September 2026.
The Four Guarantees™ - this build
The scaffold wires all four in. The PoC proves them on your data, as of that day. Only Implementation keeps them true over time: watched, drift-checked, with recourse.
Measured value
~8h/week of rep admin time back at reference volume; eval gate: LT transcription accuracy + objection-detection F1 on your own calls before ship.
Defensible
Consent-first recording flow, PII redaction, GDPR retention rules; every insight links to the exact timestamped moment it came from.
Self-improving
Objection taxonomy grows from your calls; custom vocabulary keeps up with your products; manager corrections feed the models, and it alerts the moment quality slips.
Yours & everywhere
Your cloud, full source. MCP endpoint - your CRM and coaching copilots read call insights directly.
The number, sized honestly
Reference buyer: Lithuanian B2B sales team - 5-15 reps, ~40 recorded calls a week, CRM hygiene that currently depends on rep memory at 6 PM on Friday.
Three ways to own it
| Tier | What you get | Price | |
|---|---|---|---|
| Scaffolding ★ | The full repo - LT speech pipeline + diarization, moment-tagging models, scorecard UI, CRM sync stubs, MCP server. Reference run on public LT audio. | €1,990 | |
| PoC ★★RECOMMENDED | Run on your recorded calls (consent verified) - LT transcription accuracy and moment-tagging quality measured on your team's real conversations. Code + quality report yours. No guarantee at PoC. | from€6,000 | |
| Implementation ★★★ | Production: telephony + CRM integration, coaching dashboards, vocabulary maintenance, calibration monitoring, monthly win/loss pattern report - the agreed number (conservative) attaches here. | from €18,000+ from €900/month assurance |
★ = engagement depth. PoC is the recommended path: quality proven on your data before production money. The PoC carries no performance guarantee by design; the agreed number (conservative) attaches at Implementation, informed by the PoC report.
What we don't promise
Ready to see your own number?
Request the build: within 48h you get a personal reply with the value sized to your volume.
No commitment · reply within 48h · your data stays in the EU