B2B SaaS tool list
Best B2B SaaS Revenue-Intelligence Tools in 2026
By the editorial team. Vendor pricing pages were read on 7 October 2026.
For a B2B SaaS team that already keeps its pipeline in HubSpot, HubSpot Sales Hub Professional is the practical first pick. It lists forecasting, conversation intelligence and sequences in one seat-based plan at $90 per seat per month billed monthly, plus a one-time onboarding fee that the pricing page states separately. The reason is structural: deal stages, email and meeting activity sit on the same record the rest of the revenue team uses, so there is less reconciliation between the forecast and the CRM. A five-seat team budgets $450 a month before the onboarding fee.
Teams whose forecast process, call analysis or account-signal needs go beyond the CRM usually compare dedicated platforms such as Gong, Clari or 6sense. Those vendors do not show a numeric price on their public pages, so a fair comparison needs written quotes for the same seat count and the same scope.
Revenue intelligence is only as good as the records behind it. Before comparing platforms, measure forecast error for the last two quarters, the share of meetings logged to a deal, the time a manager spends on deal review and how many flagged deals actually move forward. Treat intent scores and AI risk labels as hypotheses that a seller has to confirm.
This guide separates three jobs that vendors often blur together: capturing evidence (calls, emails and meetings), inspecting the forecast (roll-ups, categories and risk) and finding accounts worth acting on (firmographics, intent and product usage). Most teams need one tool for the first two and, at most, one for the third.
Shortlist at a glance
The table lists each tool with the audience it is built for, the entry price with its plan and billing basis, and the main limitation. Where a vendor does not publish a numeric price, the cell says so.
| Tool | Best for | Entry price (plan and billing) | Key limitation |
|---|---|---|---|
| HubSpot Sales Hub | B2B SaaS teams that already keep pipeline and contact records in HubSpot | Free for up to 2 users; Professional at $90 per seat per month billed monthly | Forecast quality depends on activity logged against deals; deal splits and pipeline approvals sit in the Enterprise tier |
| Close | Small B2B SaaS sales teams that want calls, SMS, email and pipeline in one CRM | Solo $19 per user per month ($9 billed annually); Essentials $49 per user per month ($35 billed annually) | A CRM with activity tools rather than an enterprise deal-analytics platform; calling and SMS usage is passed through at cost |
| Gong | Revenue teams that want call, meeting and email evidence attached to deals | Pricing on request | No numeric price on the pricing page; coaching value depends on rep and manager adoption |
| Clari | Enterprise and upper mid-market SaaS sales organizations that run a formal forecast call cadence | Pricing on request; no public free plan | Needs consistent stage definitions and CRM data quality; no numeric price is shown |
| Clearbit | SaaS teams that need firmographic context on inbound leads and existing CRM accounts | Pricing on request; the homepage shows no price or free plan | Coverage and freshness vary, so match rates must be measured on your own list |
| 6sense | Account-based marketing and sales teams that act on account-level buying signals | Pricing on request | Intent signals are directional and need first-party confirmation |
| People.ai | Teams whose CRM is missing activity and stakeholder coverage | Pricing on request | Data quality and workflow adoption decide the results |
| BoostUp.ai | Revenue organizations that want AI-assisted forecast inspection | Pricing on request | AI outputs depend on CRM definitions and on manager validation |
| Mindtickle | Sales enablement leaders who want seller readiness linked to revenue outcomes | Pricing on request | Enablement activity is not proof of pipeline impact |
| Aviso | Revenue teams that want forecasting and deal intelligence in one tool | Pricing on request | Model quality and adoption need consistent operating discipline |
| Ebsta | Teams where relationship strength matters in long, multi-stakeholder deals | Pricing on request | Coverage and interpretation vary with the systems connected |
| Common Room | Product-led and community-led growth teams | Pricing on request | Signals need identity resolution and a named follow-up owner |
| MadKudu | Product-led sales teams that score accounts and users | Pricing on request | Predictions need local validation and should not replace human qualification |
| Dooly | Individual sellers and small teams that lose time to meeting preparation and CRM updates | Pricing on request | A seller workflow layer, not an enterprise forecasting system |
What the prices look like at three team sizes
The table multiplies the published per-seat prices by three illustrative team sizes of 5, 15 and 40 users. These seat counts are assumptions for comparison, not vendor figures. Only plans with a published price appear; Gong, Clari and the other tools without a numeric price are left out of the arithmetic.
| Plan and billing | 5 users | 15 users | 40 users |
|---|---|---|---|
| HubSpot Sales Hub Starter, billed monthly ($7 per seat) | $35 a month | $105 a month | $280 a month |
| HubSpot Sales Hub Professional, billed monthly ($90 per seat), plus one-time onboarding fee | $450 a month | $1,350 a month | $3,600 a month |
| HubSpot Sales Hub Enterprise, billed monthly ($150 per seat), plus one-time onboarding fee | $750 a month | $2,250 a month | $6,000 a month |
| Close Essentials, billed monthly ($49 per user) | $245 a month | $735 a month | $1,960 a month |
| Close Essentials, billed annually ($35 per user) | $175 a month ($2,100 a year) | $525 a month ($6,300 a year) | $1,400 a month ($16,800 a year) |
| Close Growth, billed monthly ($109 per user) | $545 a month | $1,635 a month | $4,360 a month |
Two things change these numbers. Close bills calling and SMS usage at cost on top of the seat price, so a team that dials heavily should add that usage before comparing totals. HubSpot Professional and Enterprise each carry a one-time onboarding fee whose amount is on the pricing page; add it to the first-year cost. A quote from a vendor that does not publish prices should be compared against these totals line by line, on the same seat count and the same contract length.
Tool-by-tool breakdown
Each section covers one tool for revenue intelligence: who it suits, what it does well, where it falls short, what its public page says about price and one way to test it before committing.
HubSpot Sales Hub for revenue intelligence
Best for: B2B SaaS teams that already keep pipeline and contact records in HubSpot.
What it does well: Professional lists forecasting, conversation intelligence and sequences in one seat-based plan, with up to 300 customizable workflows and 3,000 HubSpot Credits. For a SaaS team the advantage is that deal stages, email and meeting activity sit on the same record as the account, so a forecast can be traced back to what the rep actually did.
Where it falls short: Every revenue view inherits the hygiene of the CRM behind it. Deal splits, deal journey analytics and pipeline approvals appear in Enterprise, which is listed at $150 per seat per month billed monthly. Both paid tiers carry a required one-time onboarding fee; the amount is on the pricing page, not in this guide.
Price: Free for up to 2 users. Starter is $7 per seat per month, Professional $90 per seat per month and Enterprise $150 per seat per month, all billed monthly as listed. Professional and Enterprise each carry a one-time onboarding fee.
How to test it: Agree which stage changes count as forecast-relevant, then switch on the forecast view for one team before rolling it out to the rest of the sales organization.
Close for revenue intelligence
Best for: Small B2B SaaS sales teams that want calls, SMS, email and pipeline in one CRM.
What it does well: Close puts a CRM, built-in calling, SMS, email, a centralized inbox and a task list in one product. Growth adds automated workflows, a power dialer, custom activities and bulk email. Scale adds role-based access, lead visibility rules, a predictive dialer and live call coaching. When the call log is the signal the team trusts most, capturing activity inside the system of record removes a sync step.
Where it falls short: Calling and SMS costs sit on top of the seat price, and AI credits are allocated per user: 500 on Solo, 1,000 on Essentials, 1,500 on Growth and 2,000 on Scale. There is no ongoing free plan. The pricing page lists a 14-day free trial that needs no credit card.
Price: Solo $19, Essentials $49, Growth $109 and Scale $149 per user per month billed monthly. Billed annually, the same tiers are $9, $35, $99 and $139 per user per month.
How to test it: Make the dialer the only way calls get logged, then compare activity counts with stage movement before moving up to Growth.
Gong for revenue intelligence
Best for: Revenue teams that want call, meeting and email evidence attached to deals.
What it does well: Gong is built around conversation intelligence. It records and analyzes calls and meetings, surfaces deal insights and supports coaching and revenue workflows. For a SaaS forecast, the main advantage is that deal risk can be checked against what the buyer said, not only against fields a rep typed into the CRM.
Where it falls short: Someone has to decide which conversation patterns count as risk, and recording needs consent rules that match every region you sell into. Because no numeric price is shown, a fair comparison needs a written quote for your exact seat count.
Price: Pricing on request from the vendor.
How to test it: Take last quarter’s closed-won and closed-lost deals, review their recordings beside the forecast notes and check whether the signals would have flagged the losses earlier.
Clari for revenue intelligence
Best for: Enterprise and upper mid-market SaaS sales organizations that run a formal forecast call cadence.
What it does well: Clari concentrates on the forecast process itself: revenue cadence, forecast roll-ups, pipeline inspection and governance. For a SaaS company its value is a shared forecast view that finance, sales leadership and frontline managers review on the same schedule and against the same category definitions.
Where it falls short: A forecast tool reflects the discipline behind it. If reps move close dates loosely, the roll-up will show it. Because the pricing page gives no numeric price and no free plan, budgeting requires a sales conversation.
Price: Pricing on request. The pricing page shows no free plan and no numeric price.
How to test it: Write the forecast categories (commit, best case and pipeline) and the rule for moving a deal between them before any demo. Then record two forecast calls on the current spreadsheet as a baseline.
Clearbit for revenue intelligence
Best for: SaaS teams that need firmographic context on inbound leads and existing CRM accounts.
What it does well: Clearbit provides firmographic enrichment, such as company size and industry, for marketing and sales workflows. In a revenue-intelligence stack it fills in the account context that routing and segmentation rules need when the CRM record is thin.
Where it falls short: Enrichment says nothing about buying intent or deal progress, so it has to be paired with activity data. The current product scope should be confirmed directly with the vendor before you build rules on specific fields.
Price: Pricing on request. The vendor homepage shows no price or free plan.
How to test it: Enrich a sample of last month’s inbound leads, count how many fields come back complete and count how many routing decisions would change if those fields were used.
6sense for revenue intelligence
Best for: Account-based marketing and sales teams that act on account-level buying signals.
What it does well: 6sense combines account intelligence, buying signals and orchestration for B2B demand. It is most useful when a named list of target accounts exists and marketing and sales need to agree which accounts are moving.
Where it falls short: Intent is a probability, not a deal. A surge should prompt a look at the account, followed by confirmation from a reply, a meeting or CRM activity. No price is listed on the public product page.
Price: Pricing on request.
How to test it: Restrict the first test to a named account list and require a seller to confirm or reject each signal within a fixed number of days, so precision can be measured.
People.ai for revenue intelligence
Best for: Teams whose CRM is missing activity and stakeholder coverage.
What it does well: People.ai captures activity automatically and maps the people involved in each account. Deal visibility often breaks where a rep did not log a meeting or a stakeholder joined without anyone noticing, and automatic capture addresses that gap directly.
Where it falls short: Capture requires mailbox and calendar access, which means IT and legal review before rollout. The benefit depends on managers actually using the relationship map during deal reviews. No price is listed on the public product page.
Price: Pricing on request.
How to test it: Pick two accounts with known stakeholder gaps and check whether the captured contacts match the buying group the rep describes in the forecast notes.
BoostUp.ai for revenue intelligence
Best for: Revenue organizations that want AI-assisted forecast inspection.
What it does well: BoostUp.ai provides forecasting, pipeline inspection, deal risk and revenue workflows. It suits a team that wants forecast calls structured around explicit risk flags rather than around a rep’s confidence.
Where it falls short: Risk flags are only as current as the CRM records behind them. No price is listed on the public product page, so total cost has to be compared with the other forecasting options directly.
Price: Pricing on request.
How to test it: Ask each manager to override at least one risk flag per forecast call and log the reason. The override log shows whether the model is earning trust.
Mindtickle for revenue intelligence
Best for: Sales enablement leaders who want seller readiness linked to revenue outcomes.
What it does well: Mindtickle covers sales readiness, coaching, skills and performance intelligence. It helps answer whether specific capabilities appear alongside better execution in the pipeline.
Where it falls short: Any link to revenue needs a clean connection to CRM outcomes. Without one, readiness data only describes training activity. No price is listed on the public product page.
Price: Pricing on request.
How to test it: Compare certified and uncertified reps on the same deal stages over one quarter, and treat the result as a question to investigate rather than proof of cause.
Aviso for revenue intelligence
Best for: Revenue teams that want forecasting and deal intelligence in one tool.
What it does well: Aviso provides AI-assisted forecasting, pipeline inspection and revenue workflows. Managers see forecast context next to account and deal signals in the same view.
Where it falls short: Models trained on inconsistent stage history give weak output, so the first months can turn into a data-cleanup project. No price is listed on the public product page.
Price: Pricing on request.
How to test it: Before connecting, clean the stage history for the last four quarters so the model is not trained on deals with mislabeled outcomes.
Ebsta for revenue intelligence
Best for: Teams where relationship strength matters in long, multi-stakeholder deals.
What it does well: Ebsta offers relationship intelligence, pipeline insights and data enrichment. Connected email and calendar data show how well a deal is linked to the buying group.
Where it falls short: Results depend on which systems connect, so check coverage before relying on any relationship view. No price is listed on the public product page.
Price: Pricing on request.
How to test it: Map the buying group for three open deals by hand, then compare that map with what the relationship view shows. The differences show where coverage is missing.
Common Room for revenue intelligence
Best for: Product-led and community-led growth teams.
What it does well: Common Room gathers signals from product usage, community, the website and other go-to-market surfaces. Activity from people who are not yet in the pipeline becomes visible to the team that could follow up.
Where it falls short: Without identity resolution, anonymous activity cannot be tied to an account, and alerts that nobody owns get ignored. No price is listed on the public product page.
Price: Pricing on request.
How to test it: Assign an owner to every signal category before turning on alerts, then review each month which categories actually produce meetings.
MadKudu for revenue intelligence
Best for: Product-led sales teams that score accounts and users.
What it does well: MadKudu provides predictive qualification and product-led sales signals. It is useful when product usage is a meaningful input to which accounts reach sales, and when.
Where it falls short: A score learns from historical conversions, so a new product or a new market has little history to learn from. No price is listed on the public product page.
Price: Pricing on request.
How to test it: Back-test the score on last year’s closed deals before using it to route live leads, and check how it ranks the deals you already know were wins.
Dooly for revenue intelligence
Best for: Individual sellers and small teams that lose time to meeting preparation and CRM updates.
What it does well: Dooly supports meeting preparation, notes, CRM updates and seller productivity. It is practical when the immediate problem is that deal notes are incomplete or arrive late.
Where it falls short: It does not replace a forecast process or cross-team deal inspection. No price is listed on the public product page.
Price: Pricing on request.
How to test it: Measure the minutes per week spent on CRM updates over a two-week test, then check whether the deal notes are more complete at the next forecast call.
How to choose
Start from the decision you need to improve, not from the feature list. A forecast call that runs on stale close dates needs a different fix from a team that never hears about a stakeholder change. Name the single decision first, then pick the tool built around it.
Next, decide where the evidence should live. If the answer to forecast questions is in calls, a conversation-analysis product earns its cost. If the answer is in deal fields and sequences, the CRM you already run may be enough. Adding a second system only makes sense when the first one cannot hold the data you need, because every extra system is another place where stage definitions can drift.
Then check the commercial model. Per-seat tools such as HubSpot and Close are easy to budget. Enterprise platforms that do not publish a numeric price need a quote with the seat count, data sources, recording volume and implementation scope written out, so that two quotes can be compared. For background on forecast methods, read the sales forecasting tools guide. For the operating model that connects these tools, read the revenue operations guide , and for substitutes to the tools named here, see the alternatives page.
| If you need | Start with | Because |
|---|---|---|
| Forecast roll-ups and governance across many managers | Clari or Aviso | Both are built around the forecast process, with category rules and a shared review cadence. |
| Call and meeting evidence attached to deals | Gong | Its core job is analyzing what was said in conversations, which a CRM field cannot show. |
| Forecasting, pipeline and sequences in a HubSpot CRM | HubSpot Sales Hub Professional | Forecasting, conversation intelligence and sequences sit in one seat-based plan with a published monthly price. |
| Calls, SMS and email inside a small CRM | Close Essentials or Growth | Calling, SMS and email are logged in the CRM, and the per-user price is published. |
| Account signals for a named target list | 6sense | It is designed around account-level buying signals for demand teams. |
| Activity and stakeholder coverage the CRM misses | People.ai or Ebsta | Both map activity and relationships from connected email and calendar systems. |
| Product usage as a qualification input | MadKudu or Common Room | Both bring product and community activity into account and lead scoring. |
| Missing firmographic fields on inbound records | Clearbit | Its job is enrichment, which fills the account context a routing rule needs. |
| Incomplete notes and slow CRM updates | Dooly | It targets meeting preparation and record updates for individual sellers. |
| Moving signals between tools without custom code | Make | A visual builder with a free plan of 1,000 credits a month and 3,000+ apps to connect. |
Setup and rollout checklist
Most failed deployments skip the definitions. The checklist below puts the definitions first, because a forecast tool will faithfully reproduce whatever stage rules it inherits. Each step has a visible finish line, so the pilot can be judged on evidence rather than on how busy the team felt.
| Step | What to do | Done when |
|---|---|---|
| 1. Write definitions | Agree stage names, forecast categories and what counts as a logged meeting or a qualified deal. | Managers sign one written definitions page. |
| 2. Clean the pipeline | Merge duplicate deals and fix stale close dates for the last four quarters. | Stage history can be read without guessing. |
| 3. Connect activity sources | Connect email, calendar and call systems for named teams first, after legal and consent review. | Each rep’s capture coverage has been checked once. |
| 4. Set up the forecast view | Build the categories and a fixed weekly review cadence in the chosen tool. | The first two forecast calls run from the new view. |
| 5. Add workflow glue | If needed, build scenarios in Make. The Free plan allows 1,000 credits a month and 2 active scenarios; Core is $10.59 a month billed monthly, or $9 billed annually, for 10k credits. | Each scenario has one named owner and an error alert. |
| 6. Schedule the day-30 review | Compare tool output with manager-reviewed outcomes and log false positives and missing data. | A keep-or-stop decision is written down with its evidence. |
Measuring whether it works
Pick one metric per decision and keep the denominator visible. For forecasting, track the gap between the forecast called in week one and the actual outcome at close. For activity capture, track the share of customer meetings that appear on a deal. For account signals, track how many flagged accounts reach a qualified meeting within the agreed window, and how many do not.
Report counts rather than percentages alone, especially on small teams where one deal changes the result. Do not claim that an AI score caused revenue. Keep a workflow only if it improves a defined decision without degrading trust in the data or adding administrative work for reps.
Frequently asked questions
Which tool should a 10-person B2B SaaS team start with?
If the pipeline already lives in HubSpot, Sales Hub Professional at $90 per seat per month billed monthly is the simplest starting point, which comes to $900 a month for ten seats before the one-time onboarding fee. If the team is not on HubSpot and mainly needs calls and email in a CRM, Close Essentials is listed at $49 per user per month billed monthly or $35 billed annually.
Do I need a dedicated platform such as Gong or Clari?
Only when the CRM cannot hold the evidence you need. Gong is worth a look when conversation analysis is the missing input, and Clari when a formal forecast cadence across many managers is the problem. Neither public page shows a numeric price, so request written quotes for the same seat count before comparing.
Is the free HubSpot plan enough for revenue intelligence?
The free sales tools are limited to two users. The pricing page places forecasting and conversation intelligence in the Professional tier, so a team that needs those features should budget for a paid seat from the start.
Are intent signals reliable enough to drive outreach on their own?
No. Intent signals show that an account is researching a topic, not that it is buying. Require a seller to confirm each signal within a fixed window, and measure how many flagged accounts reach a real meeting before expanding the list.
How much does the one-time onboarding fee add?
HubSpot Professional and Enterprise each carry a required one-time onboarding fee. The amount is not stated in this guide, so take it from the HubSpot pricing page and add it to the first-year cost, alongside the monthly seat total from the cost table.
Can Make connect these tools without custom code?
Make is a visual workflow builder with 3,000+ apps. Its Free plan includes 1,000 credits a month, no time limit, and up to 2 active scenarios, with scenarios that run at most every 15 minutes. Each module action in a scenario uses one credit, so high-volume syncs need a paid plan such as Core.