8 Best Revenue Intelligence Platforms in 2026, Reviewed and Compared
Ridhima Singh
Marketing Executive
·
8
min read
A revenue intelligence platform combines buyer conversations, emails and CRM data and uses AI to show which deals are real, which are at risk and what the forecast should be. The leading platforms in 2026 are Proshort, Gong, Salesloft with Clari Forecast, Salesforce Revenue Intelligence, Aviso, Backstory, Terret and Attention.
Disclosure: Proshort is our product, so it is listed first. Every other platform is described from its own website as checked in October 2026, and we say where each one fits better than we do.
Key takeaways
Revenue intelligence answers pipeline questions: which deals are real, which are slipping and why. Conversation intelligence and contact data are inputs, not the whole job.
The category is consolidating. Clari merged into Salesloft, People.ai is now Backstory, BoostUp now operates as Terret, and Salesforce bought Momentum.
Most vendors quote prices privately. Salesforce and Proshort publish theirs, so ask every finalist for total cost including platform fees and onboarding.
Judge platforms on the evidence behind each deal signal. A risk flag you cannot trace to a call or email will not survive a forecast meeting.
What is a revenue intelligence platform?
A revenue intelligence platform is software that captures buyer interactions (calls, emails, meetings) alongside CRM data and uses AI to judge deal health, flag risk and support the forecast. It replaces rep-entered guesses with evidence from what buyers actually said and did.
It overlaps with two neighboring categories, which is where most buying mistakes start:
Conversation intelligence records and analyzes calls. It is one input to revenue intelligence. If call coaching is your main need, our guide to AI tools for analyzing sales calls is the better read.
Sales intelligence supplies contact and company data for prospecting, from vendors such as ZoomInfo, Apollo.io and LinkedIn Sales Navigator. It fills the top of the funnel; revenue intelligence works on deals already in it. See our list of B2B sales intelligence tools for contact data.
Analysts are moving the category toward action. Forrester's Q3 2026 Wave on revenue orchestration evaluated 12 providers and reported three findings: revenue context has become a contested asset, headless AI is changing where sellers work, and managing the agent lifecycle (governance, oversight and auditability) is becoming key (Forrester).
The 8 best revenue intelligence platforms compared
Platform | Core strength | Conversation data | Forecasting focus | Public pricing |
|---|---|---|---|---|
Proshort | Deal evidence from calls, plus private help for reps on the call | Built in | Deal inspection (probability, momentum, MEDDICC) | Yes |
Gong | Revenue AI operating system with deep call analysis | Built in | Deal and pipeline tracking | No |
Salesloft (with Clari Forecast) | Engagement plus predictive forecasting | Built in | Strong (Clari Forecast) | No |
Salesforce Revenue Intelligence | Native forecasting and pipeline analytics in Sales Cloud | Separate product | Strong | Yes |
Aviso | Forecasting with a large set of revenue agents | Built in | Strong | No |
Backstory (formerly People.ai) | Automatic activity capture across email, meetings and calls | Captured | Forecast views | No |
Terret (formerly BoostUp) | Forecasting with conversation intelligence and agents | Built in | Strong | No |
Attention | AI agents and CRM auto-updates from sales calls | Built in | Forecasting from conversation data | No |
Revenue intelligence platforms, reviewed
1. Proshort: best for deal evidence that starts on the call
Proshort builds deal intelligence from what buyers say. Pipeline review shows every active deal with probability, 14-day momentum and MEDDICC at a glance, with evidence from the calls rather than guesses in the CRM. Pattern and signal detection surfaces signals such as a champion going silent or a document asked for twice.
Leaders ask Ask Aria questions like "Which deals need my attention today?" and get answers with sources, or schedule them as a daily 8:00 email. AI agents, such as a deal-risk analyzer, run on every meeting, write back to CRM fields and post to Slack. Unlike pure analytics tools, Aria also helps reps during the call, so a risky moment can be handled while the buyer is still on the line.
Not the best fit if a forecast roll-up with scenario modeling is your main need; a forecasting specialist such as Clari Forecast or Aviso is built for that.
2. Gong: best for enterprises that want deep call analysis
Gong calls itself an AI operating system for revenue teams that captures interactions, analyzes them and automates next steps. Its site lists deal and pipeline tracking, automated CRM updates and summaries, coaching scorecards and embedded AI agents (Gong). Pricing is a per-user license plus a platform fee, quoted privately. If you are weighing a switch, see our Gong alternatives guide.
3. Salesloft with Clari Forecast: best for one vendor from cadence to forecast
Salesloft and Clari completed their merger in December 2025 and now operate under the Salesloft brand, with Clari Forecast keeping its name (Salesloft newsroom). Salesloft describes itself as a predictive revenue system, combining engagement, conversation intelligence with real-time guidance during calls, and forecasting.
4. Salesforce Revenue Intelligence: best for Salesforce-native teams
Salesforce sells Revenue Intelligence as part of Sales Cloud for forecasting, revenue insights and pipeline analytics (Salesforce). Call analysis is a separate product, Conversation Intelligence powered by Momentum, which Salesforce acquired in March 2026. It is the natural choice when Salesforce is your system of record and you have admin capacity to configure it. Salesforce publishes per-user prices.
5. Aviso: best for forecasting-led RevOps teams
Aviso describes itself as an agentic AI platform for go-to-market teams, with revenue forecasting, conversation intelligence and more than 50 task-based revenue agents built in a no-code studio. Its conversation intelligence page also claims real-time coaching and call guidance during calls (Aviso). Pricing is a tailored proposal.
6. Backstory (formerly People.ai): best for automatic activity capture
People.ai now operates as Backstory. It reads emails, meetings and calls from Gmail, Outlook, Zoom and Teams to show which deals are real or at risk, with forecast views, an AI assistant and an MCP server (Backstory). It suits large teams whose CRM activity data is thin.
7. Terret (formerly BoostUp): best for forecast plus agents
BoostUp now operates as Terret, and boostup.ai redirects to its new site. Terret lists pipeline forecasting, conversation intelligence, self-configuring agents and Salesforce auto-sync, plus pre-call briefs delivered in Slack (Terret).
8. Attention: best for CRM auto-updates from calls
Attention describes itself as AI agents that learn from your best sales conversations. After every call it updates the opportunity in Salesforce or HubSpot, and it offers forecasting from conversation data and AI coaching scorecards that grade reps against BANT, MEDDIC and other frameworks (Attention).
How much does revenue intelligence software cost?
Most revenue intelligence vendors do not publish prices. Gong describes a per-user license plus a platform fee; Salesloft, Aviso, Backstory, Terret and Attention quote after a demo. Salesforce publishes per-user prices for Revenue Intelligence, and Proshort costs $75 per rep per month, with Aria Live at $3 per call hour on the calls you choose.
License price is rarely the biggest number. Budget for all of these:
Platform or onboarding fees, and multi-year minimums.
Admin time to configure fields, scorecards and forecast categories.
Seats for managers and RevOps, not only reps.
The cost of low adoption: a tool reps ignore produces a forecast built on the same thin data as before.
Our ROI calculator lets you model the time saved on notes, follow-ups and CRM updates for your own team size.
How do you choose a revenue intelligence platform?
Ask these questions in every demo, and make the vendor show you, not tell you:
Where does each signal come from? Click a risk flag and see the call, email or meeting behind it.
Does it use your methodology? MEDDICC, BANT or your own stages should drive scoring, not generic defaults. Our MEDDIC guide explains what good coverage looks like.
What reaches the rep? Insights that only managers see change reports, not deals.
Can it act? Look for agents that update CRM fields and alert owners, with a preview before they go live.
Can other tools use its context? An MCP server or API lets ChatGPT, Claude or your data stack query the same deal evidence.
Is the data governed? Check certifications, regional consent and who can see which recordings.
A 90-day rollout plan
Days 1 to 30, connect and baseline. Connect CRM, calendar, email and meeting tools. Migrate historical calls. Record your current forecast accuracy and slipped-deal rate so you can compare later.
Days 31 to 60, train and align. Onboard managers first, then reps. Agree which signals trigger action and who owns it. Turn on CRM sync and alerts for one team.
Days 61 to 90, expand. Roll out to every team, share insights with marketing, product and customer success, and lock the weekly forecast cadence around the new evidence.
The three pitfalls that derail rollouts are dirty CRM data, launching without telling reps what they get from it, and custom CRM fields nobody mapped. Fix all three before day one.
Where Proshort fits in your revenue stack
Proshort works as the evidence layer between conversations and the pipeline. The contextual graph connects playbooks, calls, objections, competitors and wins, updated after every call. Objection and intent intelligence ties buyer concerns to deals, and Aria Live helps reps answer those concerns during the call, privately, with sources.
It connects to 30+ tools, including Salesforce, HubSpot and Microsoft Dynamics 365, and you can ask about calls, deals and accounts from the Proshort app in ChatGPT or from Claude (MCP). Existing Gong, Chorus or Fireflies recordings migrate during onboarding. Proshort is SOC 2 Type 2 and ISO 27001 certified.
"The contextual insights it delivers are not only precise but also perfectly timed." Kanika Bhalla, Chief Revenue Officer, Increff (read the Increff case study)
Frequently asked questions
What is the difference between revenue intelligence and CRM analytics?
CRM analytics report on what reps typed into the CRM, which is often incomplete or late. Revenue intelligence analyzes the underlying calls, emails and meetings, so deal health and risk come from buyer behavior. The best platforms then write that evidence back into the CRM.
Is revenue intelligence the same as conversation intelligence?
No. Conversation intelligence records and analyzes calls; revenue intelligence uses that data, plus email, meeting and CRM activity, to judge deals and support the forecast. Many platforms now do both, but check which one a vendor is actually strongest at.
How much does revenue intelligence software cost?
Most vendors quote privately, and Gong describes a per-user license plus a platform fee. Salesforce publishes per-user prices for Revenue Intelligence. Proshort costs $75 per rep per month, with Aria Live at $3 per call hour on the calls you choose.
Which revenue intelligence platforms work best with Salesforce?
Salesforce Revenue Intelligence is native. Proshort, Gong, Salesloft, Aviso, Backstory, Terret and Attention all integrate with Salesforce; ask each vendor to show which fields they write back to and whether reps must approve the update.
Can small sales teams benefit from revenue intelligence?
Yes, if the tool is light to run. Small teams gain most from automatic CRM updates and deal signals that need no admin. Avoid platforms that need a dedicated RevOps owner before they produce value.
To see deal evidence from your own calls, book a Proshort walkthrough or compare plans on the pricing page.
