The board meeting is in nine days, and net revenue retention dropped two points. The CFO asks which accounts caused it. RevOps, finance and customer success come back with three different lists. The company already pays for a revenue intelligence platform, and it can tell you which deals have gone quiet. It can't tell you why a board metric moved, because it doesn't read billing or use finance's definition of churn.
That gap is where most revenue intelligence purchases go wrong. The platforms are good at what they were built to analyse: calls, emails, activity and pipeline. Buyers often expect them to answer a different question: why did this number move, and which records explain it? Choose on features and you can spend a year's budget answering questions you didn't have.
Gartner surveyed 303 sales leaders in July 2023, and poor data quality (44%) was one of the top three barriers to analytics success. Salesforce's figure comes from its State of Data and Analytics report (November 2023), covering 18 countries; line-of-business leaders in marketing, sales and service averaged 43% complete trust in their data. The Vendr figure is a broker's dataset of real contracts, not a list price.
How we evaluated revenue intelligence platforms
VANDFORT publishes this guide, and VANDFORT is one of the options in it, so we have a stake in the answer. To keep the comparison fair, we fixed five criteria before reviewing any vendor and applied them to every option, including our own.
| Criterion | What we look for |
|---|---|
| Questions it answers | Deal-level questions (is this deal at risk, what did the buyer say) versus business-level questions (why did NRR or win rate move, and which accounts drove it). |
| Data it reads | Calls and email only, the CRM, or also billing, product usage and finance systems. Whether it creates new data or analyses what you already capture. |
| Definition control | Whether your own definitions of churn, pipeline and bookings are the ones it uses, and whether every answer shows how it was calculated. |
| Time to trusted value | The setup, adoption and data work between signing and a number the CFO accepts. |
| Pricing model | Published price or pricing model, as of October 2026. |
We weight definition control most heavily: a confident answer from the wrong definition is worse than no answer, because people act on it. Vendors are described only from their own pages, press releases or dated independent sources, as of October 2026. Naming a vendor is not an endorsement, and we don't rank anyone first. For a narrower head-to-head of Gong, Clari and Salesforce Einstein, see our Gong alternatives comparison.
The options compared: revenue intelligence platforms and the build alternative
| Option | Best for | Strengths | Limits | Pricing model, as of October 2026 |
|---|---|---|---|---|
| Gong | Teams whose deal risk shows up in conversations | Captures and connects calls, emails and meetings | A platform to adopt across reps and managers; strongest on interaction data | Per-user licenses plus a platform fee; not published. Vendr median $55,359 a year |
| Clari (Salesloft) | CROs running a forecast cadence across many managers | Clari Forecast, Inspect and Analytics, now alongside Salesloft engagement | Combined company working toward one platform; roadmap still unfolding | Not published |
| Aviso and Terret | Teams that want AI forecasting plus agents in one product | Forecasting, conversation intelligence and agents | Accuracy figures are vendor claims; another platform to integrate | Not published; Terret offers a free 48-hour proof of concept |
| Backstory (formerly People.ai) | Enterprise teams with incomplete activity data in the CRM | Automatic activity capture; several CRMs at once | Value depends on how much activity is missing today | Not published; priced on connected people and answers used, not seats |
| CRM-native (Salesforce, HubSpot) | Teams standardised on one CRM with clean stages | Same data model and permissions; no extra sync | Reads CRM data only, unless you add data tools; features spread across editions | Salesforce Revenue Intelligence $220 a user a month; HubSpot forecasting from $90 a seat a month, billed annually |
| Warehouse and BI build | Teams with a data engineer and data outside the CRM | Full control of definitions; joins CRM, billing and product data | Weeks to months of data work | Your tool licenses plus team time |
| VANDFORT Revenue Answers | Teams whose board questions cross systems and definitions differ by team | Answers show the query, definition and accounts; tested before go-live | An engagement, not a self-serve platform; no call recording or coaching | Not published; scoped per engagement |
Gong: conversation-led revenue intelligence
Gong calls itself the "#1 AI OS for Revenue Teams" and says it is trusted by more than 5,000 customers. Its homepage promises to "capture every interaction, analyze what's working, and automate what happens next," and its product line covers the Revenue Graph, Engage, Forecast, Enable and AI agents tuned for revenue workflows. Gartner named Gong a Leader in its first Magic Quadrant for Revenue Action Orchestration in December 2025. Its strength is that it creates data you would not otherwise have. Its pricing page says licenses are priced per user, with a platform fee based on the number of users supported, and gives no figures. Vendr reports a range of about $11,500 to $204,000 a year.
Clari, now part of Salesloft: forecast-led revenue intelligence
Clari and Salesloft announced their merger on August 7, 2025, with Clari's co-founder and CEO Andy Byrne leading the combined company, which said it would serve more than 5,000 organisations. Salesloft's customer FAQ of December 3, 2025 confirms that the merger has closed and says there are no current plans for required migrations, with a long-term vision of "one company, one platform." In the same Gartner Magic Quadrant, Clari was named a Leader and Salesloft a Visionary. Salesloft now lists Clari Forecast, Inspect, Analytics and Conversation Intelligence. Clari's strength is forecast discipline: a governed weekly call with roll-ups down to each deal. Pricing is not published, so ask which product you will be on once the joint roadmap lands.
Aviso and Terret: AI forecasting with agents
Aviso describes itself as "one agentic AI platform for modern GTM teams," with more than 30 out-of-the-box agentic workflows and task-based agents. Its site says it helps teams deliver "98%+ accurate forecasts," a vendor claim you should test on your own quarters. Terret calls its Nexus product "the Answer-to-Action Engine that Drives Revenue" and says it "answers the revenue questions no other AI can handle"; it sits alongside Terret Forecast and Terret Conversation Intelligence. BoostUp's domain now redirects to Terret, and the login still runs on BoostUp's app domain (observed October 2026). Terret is the closest platform here to an answer system. Neither publishes pricing; Terret offers a free 48-hour proof of concept, a sensible way to test it on questions you already know.
Backstory, formerly People.ai: activity capture first
People.ai has rebranded as Backstory. Its FAQ says "People.ai is now Backstory. Same product, same data infrastructure." It reads calls, emails, meetings and CRM records and captures activity automatically, so reps don't log anything new, then adds pipeline health, forecasting and MEDDPICC scoring. It connects to Salesforce, Microsoft Dynamics and Oracle. Its strength is filling the activity gap that makes pipeline reports guesswork. It is better suited to larger teams with many reps and patchy logging than to a 15-person sales team with a disciplined CRM. Its pricing page says you pay for the people whose customer activity powers the platform and for the answers your team uses, not per seat, and publishes no figures.
CRM-native: Salesforce Revenue Intelligence and HubSpot Sales Hub
If you are standardised on one CRM, price what you already own first. Salesforce lists Revenue Intelligence at $220 per user a month, or $250 with a Tableau Explorer license, billed annually on an annual contract, with revenue insights dashboards and AI-powered insights. HubSpot lists forecasting in Sales Hub Professional, from $90 per seat a month billed annually, and forecasting across team hierarchies in Enterprise, from $150, where conversation intelligence with tracked terms also appears. Native tools share the CRM's data model, so there is no sync to break. The limit is the CRM's boundary. Questions that need billing, product usage or finance's definition of churn need data from outside it, which is the case we make in our piece on the revenue data warehouse.
The warehouse and BI build
The do-it-yourself route joins CRM, billing and product data in a warehouse, defines metrics once and serves them to a BI tool. dbt's documentation describes its Semantic Layer as moving metric definitions into the modeling layer so that, by "centralizing metric definitions," downstream tools get consistent access to the same metrics. It gives you full control of definitions and suits a company that plans to hire a data team anyway. The cost is time: someone has to model the data, maintain it as the CRM changes and read the dashboards. The CFO's question about NRR still lands on an analyst's desk.
VANDFORT Revenue Answers: an engineered answer system
This option is not a platform. Revenue Answers is one of our nine systems. It answers plain-language questions about revenue from a reconciled layer that uses the same definitions as your board deck. Ask why net revenue retention moved and it returns the accounts that drove it, with the query and definition behind the answer. It runs on read-only access and says when the data cannot answer. Before it goes live, it runs against twenty questions your team already knows the answers to, including ones the data can't support. Below an 85% pass mark, or on any unsafe action, it doesn't ship. The limits are real: we don't record calls, coach reps or run a forecast cadence, and an engagement takes weeks.
How to choose
Write down the ten questions you need answered every month. Sort them into two piles. Deal questions: which deals are at risk, what the buyer said, who hasn't been contacted. Business questions: why NRR moved, why win rate fell in one segment, which accounts explain the gap to plan. Deal questions point to a platform; business questions point to an answer system or a build.
Map where the answers live. For each question, list the systems needed to answer it. If half your questions need billing or product data, no CRM-bound tool will answer them without a data layer underneath.
Check whether your teams agree on definitions. Ask sales, finance and customer success to define churn, pipeline and bookings separately. If the definitions differ, fix that before buying anything, as we argue in our guide to board-ready revenue reporting.
Test with questions you already know the answers to. Give each vendor, or your own build, five questions from last quarter with known answers, including one the data can't answer. Score whether the answer is right, whether it shows its working, and whether it admits what it doesn't know.
Price the full cost of ownership. Add licenses, platform fees, add-ons, admin time and the manager hours adoption needs. For a build, add the analyst time to maintain the models.
A rule of thumb, offered as a suggested starting point rather than a benchmark: if more than half of your ten questions need data from outside the CRM, or two teams answer the same question differently, start with data and definitions. If your questions are mostly about deals and your CRM is clean, a platform will pay back faster.
Where VANDFORT fits, and where it doesn't
Your board questions cross the CRM, billing and product data, and each team answers them differently. You already own a revenue intelligence platform, and it tells you which deals are at risk but not why a board metric moved. Or you are a $3M to $30M ARR B2B SaaS company without a data team, and you need one trustworthy answer system rather than a warehouse project. Revenue Answers pairs naturally with the Board Report Engine, which uses the same reconciled definitions. Our systems page lists all nine.
If you want call recording, transcripts and coaching, buy conversation intelligence; we don't build that. If you need a self-serve tool your RevOps admin configures in a day, buy software. If you run a large sales organisation and need a forecast cadence enforced across dozens of managers, a forecasting platform is built for that. And if you already have a data team with a semantic layer and well-used dashboards, extend what you have before adding an outside team.
Frequently asked questions
What is a revenue intelligence platform?
A revenue intelligence platform collects data from sales activity, such as calls, emails, meetings and CRM updates, and analyses it to show deal risk, pipeline health and forecast outlook. Examples include Gong, Clari (now part of Salesloft), Aviso and Backstory. In December 2025 Gartner began evaluating much of this market under a new category, revenue action orchestration, as revenue intelligence and sales engagement converged.
What is the difference between revenue intelligence and conversation intelligence?
Conversation intelligence is one part of revenue intelligence. It records and analyses calls and meetings: what buyers said, talk ratios, objections and next steps. Revenue intelligence is broader. It combines conversation data with CRM records, email and activity to assess deals, pipeline and the forecast. Most platforms now include both, so ask which data sources each feature actually reads.
How much do revenue intelligence platforms cost?
Most do not publish prices. As of October 2026, Gong prices per user plus a platform fee, and Vendr reports a median of $55,359 a year across 1,145 Gong purchases. Salesforce lists Revenue Intelligence at $220 per user a month, billed annually. HubSpot includes forecasting in Sales Hub Professional, from $90 per seat a month billed annually. Add admin time and adoption effort to any license.
Can we build revenue intelligence in-house instead of buying a platform?
Yes, if you have data engineering capacity. The usual build joins CRM, billing and product data in a warehouse, defines metrics once in a semantic layer and serves them to a BI tool. That gives you full control of definitions. It won't capture call data or analyse conversations, and someone still has to maintain the models and read the dashboards every week.
Do I need a revenue intelligence platform if I already have HubSpot or Salesforce?
Not always. Start with what your CRM already includes. Salesforce sells Revenue Intelligence as an add-on, and HubSpot includes forecasting in Sales Hub Professional and Enterprise. If your questions are mostly about deals and your stages are clean, native tools may be enough. Buy a platform when you need conversation data or activity capture the CRM doesn't provide.
Why don't revenue intelligence tools answer board questions like why NRR dropped?
Because those questions usually need data the platform doesn't read and definitions it doesn't control. Net revenue retention depends on billing, contract changes and finance's definition of churn, which often live outside the CRM. A platform built around deals and conversations sees only part of that. Answering it needs a reconciled data layer and agreed definitions, with each answer traced to the accounts behind it.
Sources: Gartner, survey of 303 sales leaders (conducted July 2023; press release, February 6, 2024). Salesforce, State of Data and Analytics (two surveys of 5,540 responses each, analytics and IT leaders and line-of-business leaders, 18 countries, June to July 2023; published November 2023). Vendr, Gong pricing data (1,145 purchases; updated March 2026). Salesloft, Clari and Salesloft merger announcement (August 2025) and merger customer FAQ (December 2025). Business Wire, Gartner Magic Quadrant for Revenue Action Orchestration announcement (December 2025). Gong, Magic Quadrant press release (December 2025). dbt Labs, Semantic Layer documentation. Vendor product and pricing pages: Gong, Salesloft, Aviso, Terret, Backstory, Salesforce Revenue Intelligence and HubSpot Sales Hub (all checked October 8, 2026).
Last reviewed: October 2026. Vendor features and pricing change; check each vendor's site before buying.
