Your CRM Shows What Happened.
What Can't It Show You?

Which deals are silently stalling? Where are qualification gaps hiding? Which reps need coaching on what? Calculate what pipeline visibility is actually worth for your team.

35%

of rep time goes to non-selling activities — but which activities, and which reps?

24%

of committed deals slip each quarter — but which ones, and why?

67%

of lost deals trace to qualification gaps — but which gaps, on which deals?

Sources: Salesforce State of Sales, CSO Insights, InsideSales Research

What's Visibility Worth for Your Team?

Enter your team's numbers. We'll show you what you're missing — and what you'd recover.

Quick Start: Choose a Scenario

Select a pre-configured scenario to quickly see ROI for teams like yours, or use custom values.

Step 1: Your Team

Step 2: What Visibility Changes

When reps and leaders can see deal health, qualification gaps, and stall risk in real time — these are the outcomes. Drag the sliders to match your confidence level.

5% time saved per rep
2%5%10%

Where visibility replaces guesswork:

  • • Pipeline Intelligence: 1-2% — risk surfaces automatically, no manual pipeline scrubs
  • • Weekly Action Plans: 1-2% — AI prioritises what matters, reps stop triaging blind
  • • Meeting Capture: 2-3% — notes, action items, and buying signals captured automatically
  • • Framework Scoring: 1-2% — MEDDPIC/BANT/SPICED gaps visible before deals stall
+15% relative lift
5%15%20%

What you can see that your competitors can't:

  • • Deal Drag Score: 3-5% — ML-scored stall risk per deal, not just stage age
  • • Contact Freshness: 2-4% — stakeholder engagement decay visible before deals go dark
  • • Framework Gaps: 3-5% — MEDDPIC/BANT/SPICED gaps flagged with specific coaching actions
  • • Meeting Intelligence: 3-6% — buying signals and sentiment extracted automatically

What Your CRM Can't Show You

Based on your numbers and industry benchmarks, here's what's likely happening in your pipeline right now — invisible to your team.

Revenue at risk of slipping

$1,440,000/yr

24% of committed revenue slips each quarter. Without deal drag scoring, you don't know which deals until it's too late

Deals with hidden qualification gaps

~161 deals/yr

67% of losses trace to qualification gaps — MEDDPIC, BANT, or SPICED criteria that weren't properly assessed. Without framework scoring, these look like "bad luck"

Rep time spent blind

$420,000/yr

35% of rep time goes to non-selling activities — admin, CRM updates, manual pipeline scrubs. Time spent finding answers that should surface automatically

What Visibility Recovers

Your Team's Impact

When your team can see deal health, qualification gaps, and stall risk in real time — you recover $900,000 in revenue, give back 960 hours of selling time, and generate 79.81x return on your investment.

Annual Cost of Summit53

$11,880

Time Saved Value

$60,000

Based on 5% of OTE recovered through visibility

Extra Deals Closed per Year

36

Win rate improved from 20% to 23%

(A 15% relative improvement)

Gross Profit Uplift

$900,000

Based on 36 additional deals at $25,000

Time Saved (Annual Hours)

960 hours

96 hours per rep annually

Net ROI

79.81x

$948,120 net gain

Share these results with your team

Email to CFO / RevOpsTalk to Sales

What Becomes Visible

These aren't features — they're answers to questions your CRM can't ask.

Today you ask: "How's the pipeline looking?"

Pipeline Intelligence

Tomorrow you see: which deals are at risk, why, and what to do about each one. Confidence scoring replaces gut feel. Risk surfaces before the forecast call, not during it.

  • AI confidence scoring per deal and per forecast category
  • Risk heatmap with specific trigger explanations
  • Velocity bottleneck detection — which stages, which reps
  • Pipeline playbook with recovery actions per deal

Today you ask: "What happened in that meeting?"

Meeting Capture

Tomorrow you see: buying signals extracted automatically, action items logged, and sentiment tracked across every conversation. No more "the meeting went well" with no evidence.

  • Automatic transcription with buying signal detection
  • AI-extracted action items linked to deals
  • Email sentiment analysis (positive/negative/neutral)
  • Searchable conversation history across all meetings

Today you ask: "Is this deal going to close?"

Deal Drag Score

Tomorrow you see: an ML-scored stall probability per deal, trend analysis over time, and waste scores that identify which pipeline to triage — before it shows up as a miss.

  • Waste score per deal — not just stage age, but multi-signal ML scoring
  • 30-day stall trend analysis to catch degradation early
  • Bulk qualify-out workflow for pipeline cleanup
  • Rep-level waste comparison for targeted coaching

Today you ask: "Are we qualifying properly?"

Framework Intelligence

Tomorrow you see: MEDDPIC, BANT, and SPICED scores per deal with component-level gaps, evidence-backed assessments, and coaching actions — not rep self-reporting.

  • Component-level framework scores (0-100) with gap insights
  • Cross-framework cohesion detection
  • AI-generated next best actions per qualification gap
  • Framework health trends over time, not point-in-time snapshots
JS

"These assumptions are deliberately conservative. The sliders default to the low end of what we see in practice. We'd rather you be surprised by the actual results than underwhelmed because we oversold the math."

— James Sullivan, Founder & CEO

See what your pipeline is hiding.

Most teams don't have a revenue problem — they have a visibility problem. Book a demo and we'll show you what Summit53 surfaces in your actual pipeline.

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