- Revenue Operators
- Posts
- Signal #05: The Conversion Intelligence Arbitrage
Signal #05: The Conversion Intelligence Arbitrage
Strategic intelligence for operators building mid-funnel leverage
Olivier Madel
October 14, 2025
In partnership with
Hey Revenue Operators,
The mid-funnel intelligence gap just became visible. Gong removed call minimums on October 7th, Salesforce's Regrello acquisition shipped process automation on October 1st, and conversation intelligence is splitting into two distinct categories: prospecting tools and conversion systems.
But here's the pattern most people miss: 90% of AI sales content focuses on prospecting and lead gen. Almost nothing on what happens after you book the meeting. That gap is where deals die—and where operators build leverage no one else has.
Today's signals reveal why conversion intelligence creates career arbitrage, which capabilities the market can't build fast enough, and the exact system I built this week that turns every demo into two assets automatically.
How Canva, Perplexity and Notion turn feedback chaos into actionable customer intelligence
Support tickets, reviews, and survey responses pile up faster than you can read.
Enterpret unifies all feedback, auto-tags themes, and ties insights to revenue, CSAT, and NPS, helping product teams find high-impact opportunities.
→ Canva: created VoC dashboards that aligned all teams on top issues.
→ Perplexity: set up an AI agent that caught revenue‑impacting issues, cutting diagnosis time by hours.
→ Notion: generated monthly user insights reports 70% faster.
Stop manually tagging feedback in spreadsheets. Keep all customer interactions in one hub and turn them into clear priorities that drive roadmap, retention, and revenue.
Signal 1: Gong Removes Call Minimums, Validates Conversion Focus
October 7, 2025
illustration Midjourney
Gong introduced natural language smart trackers with zero call minimum requirements. Previously, demo teams needed 50+ calls/month to extract value from Gong's AI insights, blocking small-to-mid-size operators from enterprise conversation intelligence. The timing isn't coincidental—it follows Salesforce's Regrello acquisition (process orchestration) and reflects market recognition that conversion intelligence differs fundamentally from prospecting analytics.
The shift reveals enterprises betting on two distinct conversation intelligence categories: high-volume prospecting metrics (connect rates, pipeline generation) versus low-volume conversion depth (pain points, stakeholder mapping, implementation signals). Gong's pricing ($1,200-2,000/user/year) still positions it as enterprise, but removing call minimums signals market validation that demo intelligence extraction is a separate category from SDR call tracking.
What this means: The market is bifurcating. Prospecting tools optimize for volume. Conversion tools optimize for deal depth. Operators who understand this split and build conversion-specific systems have leverage that generalist reps don't. The 10-20 high-quality demos you run monthly deserve different infrastructure than 100+ prospecting calls.
Operator Move: Audit your current conversation intelligence stack. Are you using prospecting tools (designed for volume metrics) for conversion work (requires deal depth)? Map one conversion workflow—discovery to proposal—and identify where intelligence gets lost. That's your arbitrage opportunity.
Reply