Revenue intelligence platforms: what they do and 9 tools compared

By Giorgio Bonan. Updated October 21, 2026, published October 21, 2026.

A revenue intelligence platform combines what is in the CRM with what actually happened (emails, meetings, recorded calls) to flag deal risk, show pipeline health and produce a forecast. The leading platforms are Gong, Clari (now part of Salesloft), Salesforce's own Revenue Intelligence, Aviso and Backstory, formerly People.ai. Most of them do not publish prices.

What these platforms do

Three jobs, in varying proportions:

1. Capture. Pull emails, meetings and calls into the CRM so activity no longer depends on reps logging it.
2. Judge. Score each deal on engagement, momentum and risk: no economic buyer, single-threaded, slipping close date.
3. Forecast. Roll deals up into a number, often with an AI prediction next to the reps' call.

The quality of the third job depends on the first two. A platform that only reads CRM fields forecasts from what reps entered; one that captures activity forecasts from what happened.

Which data each platform reads

Sources: vendors' pages and ZoomInfo's 2026 roundup, read on 21 October 2026.

The nine platforms

Gong

The reference in conversation intelligence: calls are recorded and analyzed, then rolled into deal boards and forecasting. Gong prices per user with a platform fee based on the number of users supported, and does not publish rates. tl;dv's 2026 guide estimates about $1,600 per user per year, a platform fee from $5,000 per year and onboarding from $7,500. Full breakdown: Gong pricing.

Clari, now part of Salesloft

Clari is a forecasting and revenue platform. Its merger with Salesloft closed in December 2025, according to Revenue.io, creating a combined company with about 5,000 customers. Modules are priced separately and unpublished; Docket estimates $100 to $120 per user per month for core forecasting.

Salesforce Revenue Intelligence

Built into Sales Cloud: revenue insights dashboards for quota, pipeline and win rates, forecast insights and a commit calculator, and a rep command center that flags stuck or overdue deals. Its strength is that there is nothing to sync; its limit is that it reads the data already in your org. Pipeline Inspection and advanced forecasting are listed from Sales Cloud Core ($195 per user per month).

Aviso

AI forecasting with win prediction and forecast validation, plus a growing set of task agents and a no-code agent studio. ZoomInfo's roundup describes it as used by 450 or more revenue teams, with a G2 rating of 4.3 out of 5 on 991 reviews. Pricing is custom.

Backstory, formerly People.ai

People.ai rebranded as Backstory in April 2026, per ZoomInfo. It captures email, meeting and call activity automatically, scores deal confidence and flags risks such as a missing economic buyer, with answers available in Slack, the CRM and AI assistants through MCP.

Revenue Grid

Salesforce-native activity capture with an Outlook sidebar and Gmail integration, plus pipeline management and AI-supported forecasting on its top plan. One of the few in this list with published per-user pricing.

ZoomInfo with Chorus

Chorus, ZoomInfo's conversation intelligence, sits inside ZoomInfo's go-to-market platform. It makes most sense for teams already buying ZoomInfo data.

HubSpot Sales Hub

For teams on HubSpot rather than Salesforce: forecasting from the Professional tier and conversation intelligence on Enterprise. Third-party summaries put Professional at about $90 to $100 per seat per month and Enterprise at about $150.

TruthPipe

A narrower tool, on purpose. TruthPipe does not record calls or capture email. It reads Salesforce every night and gives managers an integrity score per rep, the list of zombie deals (open, closing this quarter, no activity for more than 14 days) and the Clean Pipe without them, at $99 per month per org for up to 10 reps. It suits teams whose first problem is a pipeline nobody trusts, before they invest in a full platform.

Revenue intelligence, CRM reports or BI?

If your needs stop at the first two lines, the CRM already covers them. The platforms earn their price on the lines below, where data does not exist in the CRM today.

What managers actually open every week

In most teams, three views decide whether a platform is used: the list of deals at risk for the coming forecast call, the changes since last week, and each rep's pipeline. Ask every vendor to show these three on your own data during the trial, and judge the platform on them rather than on the full feature list.

How a rollout usually goes

Backstory describes a four-week rollout; larger platforms with onboarding fees, such as Gong, often take longer. Ask for a written plan with a date for the first forecast call run on the new tool.

Three mistakes buyers make

1. Buying capture for a team that already logs well. Automatic capture helps teams that do not log; for disciplined teams it mainly duplicates.
2. Buying a forecast for a pipeline nobody trusts. An AI forecast on deals that should have been closed months ago predicts the wrong number with confidence.
3. Measuring adoption instead of outcome. Logins and recorded calls are easy to count. Forecast accuracy and the share of deals with recent buyer activity are the numbers that justify the spend.

What a first year costs for 25 users

Low end of list prices or published estimates, read on 21 October 2026. Platforms with custom pricing are left out rather than guessed.

The point of the table is not that the cheapest wins: Gong and TruthPipe do different jobs. It is that a full platform is a five-figure decision, and should be justified by a problem a cheaper tool cannot solve.

Ten questions for the demo

1. Which data sources does it read, and which does it need us to add?
2. How does it handle deals with no activity: flagged, scored down, or ignored?
3. Can we see why a deal is scored as at risk, in plain words?
4. How is the AI forecast validated, and against which history?
5. What does a manager see on Monday morning without opening anything?
6. How long is the rollout? Backstory, for example, describes four weeks.
7. Who needs a paid seat, and who can read for free?
8. What is billed besides seats?
9. What happens to recorded calls and captured email if we leave?
10. Which customers of our size and CRM can we call?

Recording, consent and data

Platforms that record calls and capture email bring obligations that CRM reports do not. Before a trial, settle three points with your legal or security team:

• Consent to record. Rules differ by country and state; most platforms provide announcements and consent settings, and someone must configure them for the regions you sell into.
• Retention. How long recordings, transcripts and captured emails are kept, and who can delete them.
• Access. Who can listen to whose calls. Managers usually see their team; leadership and RevOps often see everything; reps should know.

A pipeline-only tool such as TruthPipe avoids these questions because it reads only CRM fields and logged activities, which is also why it cannot tell you what was said on a call.

For small sales teams

Under about 15 reps, a full revenue intelligence platform is rarely the first purchase. Platform and onboarding fees weigh heavily on a small team, and most of the value comes from habits a small team can adopt for free: a weekly review of deals without activity, a rule for what counts as Commit, and a measured forecast accuracy. The usual sequence is CRM reports and Pipeline Inspection first, a meeting recorder if calls matter, then a platform once the team and the deal count justify it.

Our position, stated

TruthPipe is listed in the tables above and is our product. It covers one narrow part of revenue intelligence, pipeline integrity from CRM data, and we have written its limits next to it: no call recording, no activity capture, no forecast of its own.

Signs you are ready for a platform

• Managers already run a weekly pipeline review, and want better inputs for it.
• Forecast accuracy is measured, and the gap is explained by information the CRM does not have.
• Reps record calls or would accept it, and consent is manageable in your markets.
• The deal count is high enough that nobody can read every deal before the forecast call.

If none of these is true yet, the review routine is the first investment, and it costs nothing beyond an hour of each manager's week.

Glossary

How to choose

• Your deals are decided on calls: conversation intelligence first (Gong, Aviso, Chorus).
• Your reps do not log activity: automatic capture first (Backstory, Revenue Grid, Gong).
• Your leaders argue about the number: forecasting first (Clari, Aviso, Salesforce), and measure it with the forecast accuracy formula.
• Your pipeline is full of deals nobody has touched: clean it first; every platform above inherits those deals.

Comparing call tools specifically? See Gong alternatives. Comparing forecasting tools? See sales forecasting software.