Clari vs Gong for Data Consultancies: The POC Has No Deal Owner
Clari fits a data consultancy better than Gong once proof-of-concept exit criteria exist, because a POC's decisive moments happen in technical working sessions that Gong, built for sales conversations, reads poorly. A client asks for a short POC, weeks of screen-shared debugging follow, and somebody finally asks about a production timeline.
Most data consultancies never formally decide when a POC becomes an open opportunity, and that gap matters more than either tool's feature set.
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Does an unpaid POC belong in the pipeline at all?
Only once it has a defined exit condition, and most data consultancies never write one down. A three-week POC that ends with a friendly thank-you email and no follow-up should never have been logged as an open opportunity in the first place, since nothing about it signaled real intent to buy.
Define exit criteria before the POC starts: the client requests a production timeline, asks about pricing for ongoing work, or introduces you to someone with budget authority. Any one of those is a real signal worth tracking. A POC that ends without any of them happening is a completed favor, not a stalled deal, and it should close as lost immediately rather than sit open and quietly inflate your pipeline count for months.
This distinction matters more here than in most B2B sales, because data consultancies run a meaningfully higher ratio of POCs to actual contracts than a typical software sale, and an unfiltered pipeline built from every POC ever started will always look healthier than the business actually is.
Write down exit criteria before the POC starts, such as these signals:
- The client requests a production timeline, which shows the work is moving toward a real engagement rather than a favor.
- The client asks about pricing for ongoing work, a signal worth logging as an open opportunity.
- The client introduces you to someone with budget authority, which moves the conversation toward a contract.
- None of these appears: close the POC as lost right away instead of leaving it open to inflate the pipeline.
Why Gong reads a working session differently than a sales call
A POC's decisive moments usually happen inside a shared screen, someone debugging a pipeline, walking through a schema, explaining why a join is slow, not inside a conversation where one side is persuading the other. Gong's analysis is built around sales conversations with a buyer and a seller, and it has comparatively little to say about an hour spent jointly troubleshooting code.
That does not make Gong useless here, but its real value shifts to the surrounding calls, the kickoff where scope gets set, the readout where results get presented, rather than the technical sessions in between. If your team runs mostly working sessions with occasional bookend calls, expect Gong's signal to come from a small fraction of your total client contact time.
For a consultancy where the technical lead running the POC is also effectively the salesperson, without ever framing it that way, Gong can still catch useful moments in the readout call specifically: whether the client's tone shifts from curious to committed once results are shown.
What Clari catches once you define POC exit criteria
Once exit criteria exist, Clari's stage structure becomes genuinely useful: a POC-in-progress stage, a decision-pending stage triggered by one of your defined signals, and a contract stage. Clari's rollup then reflects real conversion rather than a raw count of every technical engagement your team has ever started.
The reconciliation Clari offers matters especially for staffing decisions: knowing how many POCs are likely to convert in the next month lets a small consultancy plan which engineers are available for new work versus committed to closing an active POC, rather than discovering the conflict after a new contract signs.
Setting coverage and win rate for a services sale, not a license sale
Because a meaningful share of POCs never had real buying intent to begin with, hold pipeline coverage toward the wider end of the standard 3x to 4x baseline, and treat any open POC without a scheduled follow-up call as carrying real risk of quietly going stale1.
New-logo win rates in B2B average around 19%, and a data consultancy converting well below that on POCs it defined clear exit criteria for should look first at whether the wrong technical stakeholder, one without real budget influence, is driving the engagement2.
Who owns the handoff when a POC turns into a contract
Assign a single owner for the moment a POC's technical lead senses real buying intent and needs to loop in someone who can actually negotiate a contract, a practice lead, an account manager, a partner. Without that handoff being explicit, technical staff often keep running free working sessions well past the point where the client was ready to talk pricing, simply because nobody told them to stop and escalate.
Build a standing weekly review of every open POC specifically to ask one question: has this crossed an exit-criteria trigger, and if so, who is now driving the commercial conversation? That single review catches more stalled deals than either Clari's automated staleness flags or Gong's call analysis will on their own, since the underlying problem is usually a missed handoff, not a missing signal.
What Good Looks Like
Good sales forecasting for a data or BI consultancy means every open POC has an explicit, written exit condition that determines whether it counts as pipeline, not just a sense that the working relationship feels productive.
Building The Capability (5-Stage Skill Ladder)
How to Get Started
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Gong adds the most value on a data consultancy's kickoff and readout calls, where a real sales conversation happens, rather than on the technical working sessions in between.
HubSpot's simpler pipeline suits a data consultancy that has already defined clear POC exit criteria and just needs a place to apply them consistently.
Frequently Asked Questions
How long should we let a POC run before deciding whether it's a real deal?
There's no fixed timeline that works across every engagement, but set an internal checkpoint, often two to three weeks in, where the technical lead and a commercial owner jointly review whether any exit-criteria signal has appeared. If nothing has, treat that as useful information rather than extending the POC indefinitely on hope.
Should unpaid POCs be tracked in the same pipeline as paid engagements?
Yes, but flagged distinctly, since blending them hides your real conversion rate. A pipeline that mixes free POCs with signed statements of work will always show a lower blended win rate than either category alone, which makes it hard to tell which stage is actually underperforming.
Is Gong worth the cost if most of our client contact is technical working sessions?
It depends how many bookend calls, kickoffs and readouts, your team runs relative to working sessions. If those calls are rare and the real decision happens informally after a readout, the setup cost is harder to justify than for a consultancy running frequent, distinct sales conversations.
Sources
Where we quote a benchmark, we show its source. Other figures in this guide are estimates or general guidance, so check them against your own numbers.
- Pipeline coverage ratio norms. Clari — Pipeline Coverage Ratio best practices, 2025.
- Average B2B new-logo win rate. Ebsta x Pavilion 2025 GTM Benchmarks Report, 2025.
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