When revenue teams compare Gong vs Clari, the tension is simple:
One is rooted in conversations.
The other is rooted in forecasts and pipeline.
Both promise better visibility and fewer surprises at quarter-end. But visibility alone doesn’t close deals. The question is:
Which approach actually helps reps and managers make better moves during the sales cycle?
Let’s unpack how each tool thinks about revenue—and where a copilot like Proshort can layer both views into one flow.
Gong in a Nutshell
Gong starts with conversations:
Records, transcribes, and analyzes sales calls and meetings.
Pulls activity and keyword patterns into deal health and risk views.
Provides analytics on rep behavior—talk time, topics, questions, tempo.
Feeds some of this into forecast dashboards and deal reviews.
It’s powerful for understanding “what’s really happening” in deals instead of just trusting CRM checkboxes.
Clari in a Nutshell
Clari starts with the forecast:
Ingests CRM data, activities, and (in some configurations) call data.
Uses this to produce pipeline, coverage, and upside views.
Focuses on week-by-week forecast accuracy and risk flags.
Gives RevOps tools to model scenarios, coverage, and pacing.
Clari is great at helping leadership answer “will we hit the number?” and “where are the holes?”
The Shared Gaps
Even with both tools in place, most sales orgs still struggle with:
Garbage in, garbage out: if reps don’t update CRM, forecasts are lagging indicators.
Post-factum insight: both systems are great at diagnosing why a quarter slipped, not as strong at helping reps change behavior live.
Disconnected workflows: reps live in email, calendar, meetings, and CRM—insights sit in separate tabs and dashboards.
That’s why many teams see Gong and Clari as analytics systems, not as true copilots.
Bringing the Two Worlds Together (Proshort’s Angle)
Proshort takes a different starting point:
Every conversation should directly update the deal’s reality—and coach the rep in the process.
Instead of just logging a call, Proshort:
Extracts stage, stakeholders, pain, budget, timeline, risks, competitors, and next steps from every interaction.
Writes structured fields back into CRM so your forecast reflects actual conversations, not guesswork.
Flags deal sentiment shifts (“30 days ago this was strong, now pricing is stalling”), not just static risk tags.
Tracks rep skills over time by stage (discovery, demo, negotiation), so coaching is data-driven.
On top of that, it gives reps a deal copilot:
“What changed since my last call?”
“What’s the likely objection today?”
“Which stakeholder haven’t we engaged enough?”
Instead of forcing you to choose call intelligence (Gong) or forecasting (Clari), Proshort’s approach is:
One knowledge layer that feeds accurate CRM data and gives reps real-time help.
Choosing What’s Right for You
If your biggest pain is executive forecast confidence, Clari is a strong contender.
If your priority is analyzing calls and coaching managers, Gong fits well.
If you need rep-level behavior change + accurate, conversation-backed forecasts, look at tools that merge the two worlds—like Proshort’s AI sales copilot model.
