We listen to your real sales calls at scale — scoring every deal against your qualification framework to surface the exact behaviors costing you deals, and the dollar figure attached to each one.
Most sales orgs know they're losing deals. Very few know exactly why — or what it's costing them. We survey the ground so you can build stronger and more informed.
We score your won and lost deals side by side using call recordings and CRM data to isolate the specific qualification gaps and seller behaviors that separate wins from losses. No guesswork — just the patterns in your own pipeline.
Full pipeline audit combining call-level qualitative analysis with 6–12 months of CRM data. We quantify which stages bleed deals, how long is too long at each stage, and the ARR cost of every skill gap we find.
We build data-driven stage SLAs from your own pipeline history. You'll know the exact time-in-stage thresholds where win rates collapse — so managers can intervene or disqualify before deals zombify.
We analyze 30–50+ real sales calls per engagement, scoring every qualification element across every deal. The result: patterns unique to your business showing which behaviors predict wins — and which predict wasted pipeline.
Every finding comes with revenue math. We calculate the ARR impact of each skill gap, the cost of stalled deals consuming pipeline capacity, and what each point of win rate improvement is worth to your business.
Prioritized coaching roadmaps tied to your findings. Specific talk tracks, economic buyer access scripts, and manager coaching guides built from your data — not generic training decks.
RevTopo works best with B2B SaaS companies that have real pipeline data and call recordings — but haven't had the time or methodology to analyze them at scale.
Growth-stage or PE-backed companies scaling past founder-led sales with 5+ quota-carrying reps.
MEDDPICC, SPICED, BANT, Challenger, Sandler — or a custom framework. We score against whatever you use.
Gong, Chorus, Clari, or similar. We need 30+ calls across 10–15 deals to surface meaningful patterns.
CROs, VPs of Sales, and RevOps leaders who know the win rate isn't where it should be — but can't pinpoint why.
A structured process using MEDDPICC, SPICED, BANT, or your custom framework.
We pull 6-12 months of CRM pipeline data and select 10-15 deals (balanced won/lost). We listen to every call — typically 30-50 recordings, 40+ hours of conversation.
Every deal is scored on your chosen framework at the call level, tracking qualification progression. Combined with pipeline velocity and rep performance data.
We surface gaps unique to your business: which elements predict wins, where deals die, which time-in-stage thresholds predict loss. Every company's terrain is different.
Full diagnostic with revenue impact math, deal-level analysis, stage SLAs, coaching priorities, and a transformation roadmap tied to your pipeline.
"The analysis was great. Most orgs don't have the staffing or capability to action these callouts at scale. They don't know the holes and they can't implement the solution. That's where the real value is."— Trey Boyer, Chief Revenue Officer, Element451 (PSG Portfolio)
That's why we dig into your customer conversations at scale. Every stat below is from a specific client — the only way to understand your org's unique patterns is to do the same for yours.
Every company's patterns are different. See what a real diagnostic looks like →
Choose the depth of analysis. Each tier includes a full written diagnostic with revenue impact modeling, deal-level scoring, and actionable recommendations.
Deep-dive win/loss analysis across your pipeline.
Win/loss analysis plus top performer vs. average comparison.
Win/loss, rep performance, and market segment analysis.
Three areas of analysis: Win/Loss (what separates won deals from lost), Top Performers vs Average (what your best reps do differently), and Market Segment (patterns by geography, vertical, deal size, or segment).
At one company, champion development was the biggest predictor. At another, process control. At a third, zombie deals consuming pipeline capacity.
The patterns are never the same. Your team's gaps, your buyers' objections, your pipeline's leakage points — these only emerge from analyzing real conversations at scale.
We don't apply generic frameworks. We go deep into your data and surface what's actually happening — so you can fix the specific things that move your specific revenue.
No pressure — let's explore your GTM strategy together. We'll discuss your team, your pipeline, and testable hypotheses about what's happening in your deals.
Not ready to book? See a sample diagnostic first →
We'll follow up within 24 hours.