"Pipeline reviews used to be 90 minutes of arguing about what customers said. Now we type a phrase, see every call it was said on, and the conversation moves on. The transcripts changed how we run revenue."
Interaction analytics, on every conversation.
AceCX interaction analytics turns every voice and chat conversation into structured data — transcripts, sentiment, intent, and objection mining.
- C
“Looking for help with renewal pricing.”
+0.58 - A
“Sure — let me pull up your account now.”
+0.62 - C
“It’s been three days — frustrating.”
−0.34 - A
“Annual gives you 20% off — try that?”
+0.18
Your revenue forecast runs on a sales-manager gut check and 18 hours of recordings nobody reviews. AceCX turns every conversation into structured data.
Every signal. Every conversation.
Transcripts, sentiment, summary, intent, objections, keywords — native on every voice, video, chat, and social conversation your team runs.
AI transcripts
Every voice call, video, and chat — fully transcribed.
AI sentiment scoring
Moment-by-moment and conversation-level tone.
AI summary
Action items and owners written before the agent does.
Intent classification
Confidence-scored intent on every conversation.
Objection mining
Top 10 stalls ranked across every conversation.
Keyword spotting
Compliance phrase detection across every recording.
Dashboards for every team.
Revenue sees sentiment-to-close correlation. CX sees first-contact resolution by agent. Compliance flags risky phrases across recorded calls.
Revenue · sentiment-to-close correlation
CX · first-contact resolution by agent
Compliance · risky phrase alerts across the archive
Type a phrase. See every call.
Used well, this replaces the weekly management review nobody prepared for.
“… compared our pricing to competitor pricing…”
“… their competitor pricing was competitor pricing…”
“… matching the competitor pricing competitor pricing…”
“… beat the competitor pricing on competitor pricing…”
“… competitor pricing came up competitor pricing…”
"Sentiment-to-close correlation showed us that warm-tone calls close at 3.2× the cold ones. We retrained the team on opening cues and our win-rate moved nine points in a quarter."
Ready to turn 18 hours of recordings into searchable data?
Questions, answered.
Native transcript, sentiment, intent, objection mining, and keyword spotting on every voice, video, chat, SMS, and social conversation — with warehouse export to Snowflake, BigQuery, or Redshift.
Gong is a standalone tool that sits on top of your phone system as a separate per-seat line item. Acepeak runs analytics natively on the calls your team already makes — same tenant, same model, no parallel pipeline.
Yes. Voice, video, chat, SMS, Instagram, Facebook, Telegram, WhatsApp, and Twitter/X. The same transcript, sentiment, intent, and objection mining run on every channel.
CSV on every plan. Live Snowflake, BigQuery, and Redshift sync on higher tiers. Fields include transcript, sentiment, intent, objections, summary, owners, and call metadata.
Confidence scores ship with every classification — review and re-train on low-confidence calls, or whitelist confirmed intents. Most teams see 88–94% accuracy after the first 500 calls of tenant-specific tuning.
Yes. Define your own keyword lists per queue, tenant, or agent group. Hits are timestamped, agent-attributed, and exportable to your SIEM or warehouse for audit.
Your interaction analytics, structured.
14-day free trial. No credit card required. Warehouse sync on higher tiers.
Last updated: May 2026
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