Find out which sales objections are actually costing you the most revenue

Not every objection matters equally, one that shows up in a $200K deal is worth more attention than one that shows up in a $2K deal. This runs cross-corpus analysis on transcripts, clusters objections by theme, and ranks them by frequency times deal value at stake.

Salesmeeting-notetakerB2BSaaSAdvanced4 steps4 outputs

Topic Analysis Transcript Search Report Dashboard

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What it does

Runs cross-corpus analysis on meeting transcripts to surface the most frequent objections in the last 90 days, clusters them by theme, and ranks them by frequency times deal value at stake, feeding enablement and product feedback loops.

You get

a ranked objection-pattern analysis report

How it works

Cluster what gets discussed

analyze_meeting_topics

Topic clusters across 90 days of discovery, demo and proposal transcripts, narrowed to price, timing, competition, feature gaps, security, authority, trust and integrations.

Produces:Topic Analysis

Pull the buyer's own words

search_meeting_transcripts

Five representative verbatim quotes per objection, each with the meeting, the rep, the account and the revenue at stake.

Produces:Transcript Search

Rank objections by money at stake

build_insights_report

Objections ranked by how often they come up multiplied by the deal value behind them, with the win rate when each is raised versus when it is not, and each tagged as a content, product or qualification fix.

Produces:Report

Watch objections month to month

Build Dashboard

Top objections this month against last month, the fastest-growing ones, and which reps hear which objections most.

Produces:Dashboard

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