Most sales analytics measure activity — calls dialed, emails sent, meetings booked. CallBricks measures the conversation: talk-time ratios, objection trends, ICP fit signals, and win/loss patterns from what your team actually said. Real sales analytics, not CRM hygiene metrics.
Most sales analytics dashboards measure activity: calls dialed, emails sent, meetings booked, deals advanced. Useful for ops, useless for understanding why deals are won or lost. The truth lives in the conversation — and CRM analytics never get within a mile of it.
CallBricks is the sales analytics layer that measures the conversation. Talk-to-listen ratio per rep, objection frequency by category, ICP fit by industry, competitive mention rate over time, and the patterns that separate wins from losses. Analytics about what was said, not just what was clicked.
Per-rep talk ratio, longest monologue, question rate per minute, and discovery depth. The structural metrics that separate top closers from average ones — measured automatically across every call.
Objection frequency by category — pricing, trust, timing, authority. Quarter-over-quarter trends. Which objections are increasing, which your team handles well, which drop deals.
Aggregate ICP signals across hundreds of calls. Industry, team size, growth stage, tech stack — what your closed-won customer segment actually looks like, not what your form fields captured.
Tag a deal as won or lost once. CallBricks back-fills the patterns: which objection clusters preceded losses, which talk-tracks preceded wins, what your top closer does on every kickoff.
Every time a competitor name surfaces, CallBricks logs it with timestamp, speaker, and context. See which competitors come up in late-stage versus early-stage and what objections they trigger.
Compare every rep against your archive's top performers — talk ratio, question rate, objection handling, deal velocity. Objective evidence, not manager memory.
Sales analytics built on what was actually said on calls — not CRM activity.
Talk-time, question rate, and discovery depth measured automatically.
Objection and ICP analytics aggregated across hundreds of calls.
Win/loss back-filling reveals patterns you cannot see in pipeline data.
Cross-rep benchmarking surfaces top-closer behavior for the rest of the team.
Sales analytics measured from the content of sales calls, not from CRM activity. CallBricks transcribes, diarizes, and analyzes every call — measuring talk-time ratios, objection frequencies, ICP signals, and win/loss patterns directly from the conversation. Conversation-driven analytics show you why deals close, not just whether they did.
Salesforce and HubSpot measure activity (calls made, meetings booked, stages advanced) and pipeline (count, value, velocity). They do not measure conversations. CallBricks adds the conversation layer — what was actually said — and pushes those metrics back into your CRM as custom fields if you want to dashboard them there.
Yes. CallBricks data exports to JSON, CSV, and via API. Most teams pipe metrics into Looker, Hex, or Mode for executive dashboards and into Slack for daily flags.
Yes. CallBricks is purpose-built for SMB, B2B, and agency sales teams (1–50 reps). Self-serve setup, per-user pricing, no platform fee — affordable analytics for teams that have been priced out of Gong or Chorus.
Patterns become meaningful at around 30 calls — typically a week of activity for a single rep, a few days for a team. Cross-call ICP and win/loss analytics get sharper at 100+ calls and dramatically sharper at 500+. Most teams see actionable analytics in week one.
Explore the rest of the platform: AI notetaker, conversation intelligence, sales call analysis, AI sales coaching, sales call review, and objection handling.
Compare against alternatives: vs Gong, vs Fathom, vs Fireflies, vs Sybill.
Free workspace, no credit card. Drop a week of calls in and see your conversation-driven metrics.