Revenue Operations Category
Revenue Operations Tools for B2B SaaS: Pricing, Fit and Setup Guide
A practical guide to the revenue stack between marketing and customer success: CRM, workflow automation, forecasting, conversation intelligence, analytics and data hygiene, with the prices that vendors publish and a plan for rolling them out in the right order.
The short answer
For most B2B SaaS teams the first revenue operations tool should be a CRM that every seller will actually use. For that job Close is the most concrete starting point on this list: the Essentials plan is $35 per user a month when billed annually ($49 billed monthly), it bundles calling, SMS, email and a shared task list, and the price is published, so you can budget before a sales call. If your real bottleneck is forecast accuracy rather than data entry, Clari is the forecasting product to evaluate next, but its pricing is quoted case by case.
Prices in this guide come from each vendor's public pricing page, checked on 7 October 2026. Where a vendor does not publish a price, the page says "pricing on request" and does not estimate.
Who this guide is for
This guide is written for founders, heads of sales, RevOps managers and marketing operations leads at B2B software companies that sell to other businesses on contracts, usually with a sales cycle longer than a few days and more than one person touching each deal. If you run a self-serve product sold to individuals, most of the tools below will be more than you need.
Revenue operations, or RevOps, is the job of keeping sales, marketing and customer success working from the same account records, the same stage definitions and the same forecast. The tools in this guide cover five jobs: a system of record for accounts and deals, automation that moves data between systems, forecasting and pipeline inspection, analysis of calls and meetings, and cleaning and routing of the data that feeds all of them. Most companies need two or three of these jobs covered, not all of them.
The rest of the page compares the tools side by side, shows what the entry prices mean at realistic team sizes, explains each tool's strengths and limits for this audience, gives a decision table for choosing and a setup checklist, and ends with common questions.
Comparison: what each tool is for and what it costs to start
The table lists the job each tool does best, the lowest price the vendor publishes with its plan and billing view, and the limitation that matters most before you buy.
| Tool | Best for | Entry price (plan, billing) | Key limitation |
|---|---|---|---|
| Close | Sales CRM with built-in calling and email | Solo: $9 per user a month, annual ($19 monthly). Essentials: $35 per user a month, annual ($49 monthly) | Cost rises with every seat; calling and SMS usage is passed through at cost |
| Make | Moving data between CRM, product, billing and reporting | Free: 1,000 credits a month. Core: $9 a month, annual ($10.59 monthly), for 10k credits | Every module action uses a credit, so usage grows with data volume; not a system of record |
| Clari | Forecast roll-ups and pipeline inspection | Pricing on request | No public price to budget against; works best once stage definitions are agreed |
| Gong | Call review, deal inspection and coaching | Pricing on request | Value depends on consistent recording and clear consent practices |
| 6sense | Intent data and account-based marketing | Pricing on request | Designed around a defined target account list; small lists get little from it |
| Aviso | AI forecasting and deal guidance | Pricing on request | Predictions need a useful history of closed and open deals in the CRM |
| InsightSquared | Revenue analytics and cross-team reporting | Pricing on request | Reports are only as consistent as the stages and fields behind them |
| Syncari | Unifying and syncing records across the revenue stack | Pricing on request | Someone must own field mappings and sync rules after launch |
| LeanData | Lead-to-account matching and routing | Pricing on request | Routing rules need upkeep whenever territories or account owners change |
| Openprise | Cleaning, deduplicating and routing data at volume | Pricing on request | Real value needs data mapping work before the first rule goes live |
What the prices mean at realistic team sizes
Entry prices are misleading on their own, because the number that matters is the one you multiply. Close charges per user, so a five-seller team and a twenty-five-seller team pay very different amounts. Make charges per credit allowance, and the allowance shown is 10,000 credits a month. The table below shows the arithmetic for common team sizes. Each row names the plan and billing view it uses.
| Scenario | Plan and billing | Monthly cost | Yearly cost |
|---|---|---|---|
| 5 sellers, CRM and calling | Close Essentials, annual at $35 per user | 5 × $35 = $175 | 12 × $175 = $2,100 |
| 5 sellers, monthly billing | Close Essentials, monthly at $49 per user | 5 × $49 = $245 | 12 × $245 = $2,940 |
| 10 sellers, CRM and calling | Close Essentials, annual at $35 per user | 10 × $35 = $350 | 12 × $350 = $4,200 |
| 10 sellers, automated sequences and power dialer | Close Growth, annual at $99 per user | 10 × $99 = $990 | 12 × $990 = $11,880 |
| 25 sellers, CRM and calling | Close Essentials, annual at $35 per user | 25 × $35 = $875 | 12 × $875 = $10,500 |
| 25 sellers, monthly billing | Close Essentials, monthly at $49 per user | 25 × $49 = $1,225 | 12 × $1,225 = $14,700 |
| Workflow automation, 10k credits | Make Core, annual at $9 a month | $9 | 12 × $9 = $108 |
| Workflow automation with team roles | Make Teams, annual at $29 a month | $29 | 12 × $29 = $348 |
| Forecasting, intent, conversation, analytics, routing, data cleaning | Clari, Gong, 6sense, Aviso, InsightSquared, Syncari, LeanData, Openprise | Pricing on request | Pricing on request |
Two points follow from the table. First, the Close cost for a team is a per-seat decision: adding a seller adds $35 a month on Essentials, or $99 a month on Growth if you need automated workflows and a power dialer. Second, the Make allowance is the lever to watch. Make's pricing page offers larger credit allowances on a slider, and the figures above only apply to 10,000 credits a month. Estimate how many module actions your workflows run each month before you commit to a plan.
For the enterprise tools, budget the implementation as well as the licence. Forecasting, intent, routing and data-cleaning products usually need CRM administrators, data mapping and a project owner for the first few months. Those internal hours are a real cost even when the vendor's price is not published.
Tool-by-tool: strengths, limits and price
Each section below describes the job the tool does for a B2B SaaS team, where it is weaker, and what the vendor publishes about pricing. Where a vendor does not publish a price, the section says so.
1. Close: a CRM built for small sales teams
Close combines a CRM with calling, SMS, email, forms and a shared task list. For a B2B SaaS team with five to twenty-five sellers, the main benefit is one workspace where reps log calls and emails without switching tools, and where managers can see the activity behind a pipeline number. The Growth plan adds automated workflows, a power dialer and bulk email. The Scale plan adds role-based access and permissions, lead visibility rules, a predictive dialer, live call coaching and unlimited call recording retention, which matter once territories and regions need separate controls.
Where it falls short: the cost scales with every seat, and calling and SMS usage is passed through at cost, so the seat price is not the whole bill. Close lists a 14-day free trial with no card required and no ongoing free plan, so you cannot run it indefinitely at no cost. It is also a sales CRM first. If your main need is forecast roll-ups across several business units, you may still add a dedicated forecasting tool later.
Price: Solo $9 per user a month billed annually ($19 monthly); Essentials $35 per user a month annually ($49 monthly); Growth $99 annually ($109 monthly); Scale $139 annually ($149 monthly). AI credits are allocated per user on each plan.
Close pricing page →2. Make: connecting the stack without a developer
Make is a visual workflow builder that moves records between tools. For RevOps, the typical use is keeping a CRM in step with a product database, a billing system, a support desk or a spreadsheet that finance maintains. A scenario can, for example, create an account when a trial starts, copy plan changes from billing, or post a notification to the owner's channel when a deal stage changes. The product exposes routers and filters, so one scenario can branch by account segment or region.
Where it falls short: Make is not a system of record, so it does not replace the CRM and does not forecast anything. Every module action uses one credit, so volume grows with the number of records and steps. The Free plan allows two active scenarios, scenarios that run at most every 15 minutes, a five-minute maximum execution time and seven days of execution log storage. Those limits are fine for testing a single workflow and tight for a production stack.
Price: Free: 1,000 credits a month with no time limit. Core: $9 a month billed annually ($10.59 monthly) for 10,000 credits, with unlimited active scenarios and scheduling down to the minute. Pro: $16 annually ($18.82 monthly) adds priority execution, custom variables and full-text log search. Teams: $29 annually ($34.12 monthly) adds team roles and shareable templates. Enterprise is quoted.
Make pricing page →3. Clari: forecasting and pipeline inspection
Clari is built for the weekly forecast call. It rolls up deals from individual reps to managers and regions, shows how the forecast has moved, and highlights deals whose health or close date has changed. For a B2B SaaS company where the CFO and the sales leader disagree about the quarter, that visibility is the main reason to buy it. The tool is most useful when the forecast categories and stage definitions are already agreed across sales and finance.
Where it falls short: the pricing page does not publish a price or a free plan, so the budget case has to be built through a sales conversation. Clari also depends on clean CRM data. If stages are inconsistent or close dates are rarely updated, the forecast will reflect that. Plan the stage clean-up before the first forecast call that uses Clari.
Price: pricing on request. The vendor's pricing page does not publish a numeric price for its plans.
Clari pricing page →4. Gong: conversation intelligence for sales teams
Gong records and analyzes customer conversations across calls, emails and meetings. Sales leaders use it to review how deals move, which objections come up in discovery, and which talk patterns appear in won and lost deals. For a SaaS company with a field of account executives who run long demos, the coaching use case is often the first reason to buy. Gong also feeds deal context to other revenue tools, which is useful when the forecast needs a view of what was said on the last call.
Where it falls short: its value depends on consistent recording. If reps do not connect their calendars or if recording consent practices differ between regions, the analysis covers only part of the pipeline. Legal and HR review is worth doing before rollout, since the tool captures employee and customer speech. The pricing page does not publish a numeric price.
Price: pricing on request.
Gong pricing page →5. 6sense: intent data and account-based marketing
6sense combines intent signals from B2B content sources, predictive scoring and account-based marketing orchestration. It is aimed at teams that have a defined list of target accounts and want to know which accounts show buying activity, what those accounts are researching and when to contact them. The buying-journey view helps marketing and sales agree on which accounts to prioritize in a given week.
Where it falls short: the product is designed around large target account lists. If you sell to a few hundred accounts, the signal volume per account may not justify the setup. It also needs marketing operations capacity to build audiences and measure campaigns. Intent data is probabilistic, so treat it as a prioritization input rather than proof that an account is ready to buy.
Price: pricing on request.
6sense website →6. Aviso: AI forecasting and guided selling
Aviso uses machine learning on pipeline history to forecast revenue and to suggest actions for open deals, such as which contact to involve or which next step to schedule. It is a fit for teams that want the forecast to be driven by deal behavior and not only by what reps type into the CRM. Managers get a deal-level view of risk and a list of recommended actions to review in one-to-one meetings.
Where it falls short: AI forecasting needs history. A company with a short sales history, frequent changes to stages or a recent CRM migration will get less from the models at the start. Review the recommendations with sellers, because a suggestion that works in one segment may not fit another. The pricing page does not publish a numeric price, so compare the quote against the internal hours for CRM preparation.
Price: pricing on request.
Aviso website →7. InsightSquared: revenue analytics and reporting
InsightSquared focuses on analytics: pipeline reports, sales performance views and dashboards that compare periods and teams. For a RevOps manager who spends too long building spreadsheets to answer board questions, it removes much of that manual work. The strength is the breadth of standard reports across the revenue funnel.
Where it falls short: reports are only as consistent as the definitions behind them. If two regions count pipeline differently, the dashboard will show both numbers without explaining why. Agree on metric definitions first, then configure the reports. Analytics tools also rarely fix bad stage discipline on their own. The pricing page does not publish a numeric price.
Price: pricing on request.
InsightSquared website →8. Syncari: unifying records across the revenue stack
Syncari keeps account and contact records consistent across the CRM, marketing automation, product and customer success systems. It uses no-code rules to decide which system owns which field and to sync changes both ways. For a company where the same customer exists in four systems under slightly different names, unification is the prerequisite for every other RevOps tool.
Where it falls short: someone has to own field mappings and sync rules after launch, or the rules drift as new fields are added. A unification tool does not replace the decision about which system is the record of truth, so settle that decision before configuring anything. The pricing page does not publish a numeric price. Earlier versions of this page quoted a starting price; that figure is not on the vendor's public pricing page and has been removed.
Price: pricing on request.
Syncari website →9. LeanData: lead-to-account matching and routing
LeanData matches incoming leads to existing accounts and contacts, then routes them to the right owner using territory and account rules. B2B SaaS companies with parent and subsidiary account structures, or with several sales motions for the same product, get the most from this kind of matching. A correct match prevents duplicate outreach, and a correct route keeps an existing customer's expansion opportunity with the account owner.
Where it falls short: routing rules need upkeep. Every territory change, hire or account reassignment can require a rule update, and an out-of-date rule quietly sends leads to the wrong person. Assign a named owner for the routing table. The pricing page does not publish a numeric price.
Price: pricing on request.
LeanData website →10. Openprise: data orchestration at volume
Openprise cleans, deduplicates, enriches and routes revenue data in bulk. It is designed for teams whose CRM contains years of imports, multiple acquisitions or several lead sources, where manual cleaning no longer keeps up. The main value is a repeatable pipeline for data quality, so that the same rules apply to every new record.
Where it falls short: the benefit only arrives after data mapping and rule design, which take real effort before the first rule runs in production. Smaller teams with a clean CRM may find simpler tools or a periodic cleaning project sufficient. The pricing page does not publish a numeric price.
Price: pricing on request.
Openprise website →How to choose: match the problem to the first tool
Most RevOps purchases go wrong when a company buys a forecasting or conversation tool to solve a data problem. Start from the symptom your leadership team names in the weekly meeting, then find the tool that addresses it. The table gives a starting point for each common symptom and the check to run before you sign.
| If the main problem is | Start with | Because | Check before you buy |
|---|---|---|---|
| Deal data lives in spreadsheets and inboxes | Close | One CRM with calling and email, and published per-seat prices | Import history, field layout and how calling costs will be billed |
| The forecast changes every week and finance does not trust it | Clari or Aviso | Forecast roll-ups and deal-level inspection | Agreed stages, forecast categories and close-date rules |
| Managers rarely hear how calls go | Gong | Recorded calls and coaching views | Recording consent by region and calendar connection for reps |
| Marketing wants to know which target accounts are active | 6sense | Intent signals and account-level ABM | A defined target list large enough to justify the signal |
| The same customer exists under several names | Syncari or Openprise | Unification, deduplication and repeatable cleaning | Named owner for field mappings and a record-of-truth decision |
| Leads reach the wrong owner or duplicate an existing account | LeanData | Account matching and rule-based routing | Current territory map and an owner for rule changes |
| Board questions take days of spreadsheet work | InsightSquared | Standard pipeline and performance reporting | Written metric definitions agreed by sales, marketing and finance |
| Systems need to exchange data without a developer | Make | Visual scenarios with routers, filters and team roles on paid plans | Monthly count of module actions against the credit allowance |
A few rules of thumb help when the symptoms overlap. If you cannot yet say which system holds the correct account name and owner, buy the unification or CRM layer first, because every other tool reads from it. If your forecast meeting already runs on a stable CRM, a forecasting product will change the quality of the discussion. If you have only a handful of sellers, a full enterprise stack is rarely justified, and a CRM with a disciplined review process will do most of the work.
Finally, look at who will maintain the tool. A RevOps tool with no owner decays. Before you buy, name the person who will change routing rules, review stage definitions each quarter and answer the questions from sales when a number looks wrong. If that person does not exist yet, hire or assign one before buying a second tool.
Setup and migration: the order that avoids rework
Most RevOps projects that disappoint were set up in the wrong order: the forecasting tool was switched on before the stages were agreed, or the routing rules ran before the account list was cleaned. The checklist below sets out a sequence that works for a B2B SaaS team moving from spreadsheets or an old CRM. Each step has a clear finish line, so you can tell when to move on.
| Step | What to do | Done when |
|---|---|---|
| 1. Define stages | Write the pipeline stages, exit criteria and forecast categories in one document | Sales, marketing, customer success and finance have signed the same version |
| 2. Inventory systems | List the CRM, billing, product, support, email and calling tools, and name an owner for each | Every key field has one system of record |
| 3. Clean the CRM | Merge duplicate accounts, standardize industry, country and segment values, and archive dead deals | A manual sample of records shows the duplicate and missing-field rates you expected |
| 4. Map integrations | Decide which tool writes which field, and document any two-way sync | No field is written by two tools without a rule that decides the winner |
| 5. Pilot one workflow | Run one process end to end, such as lead routing for a single region or a billing-to-CRM sync for one plan | The pilot ran for a full billing or sales cycle with reviewed exceptions |
| 6. Add forecasting and analytics | Turn on the forecast and reporting layer once stages and fields are stable | The weekly forecast meeting uses the new tool, and the old spreadsheet is retired |
| 7. Train and review | Train reps and managers, then review rules and definitions each quarter with a change log | Every rule change has a date, an owner and a reason |
When migrating from an older CRM, keep the old system read-only for a period after the cut-over, so that anyone who needs an old record can find it. Export activity history separately if your new CRM does not import it in full. Ask the vendor how attachments, call recordings and custom objects are handled, because those are the items most often lost in a move.
For automation, document each scenario in plain language before building it: what triggers it, which fields it reads, which fields it writes and who is notified when it fails. Scenarios without that note become impossible to maintain once the person who built them leaves. Set a monthly review of module-action usage on your automation tool, so the credit allowance is not a surprise on the invoice.
Directory of revenue operations tools
Frequently asked questions about revenue operations tools
Which revenue operations tool should a small B2B SaaS team buy first?
In most cases, a CRM that the whole team uses. Close is the most concrete choice in this guide because its plans and per-user prices are published: five sellers on Essentials cost $175 a month billed annually, or $245 billed monthly. Add forecasting, conversation intelligence or data-cleaning tools once the CRM data is consistent enough to support them.
Do I need a separate forecasting tool if my CRM has a forecast view?
It depends on where the forecast goes wrong. If the number is wrong because reps do not update deals, a forecasting product will not fix that on its own. If the number is wrong because managers cannot see why deals moved, a dedicated tool such as Clari or Aviso adds the roll-up and deal-level inspection that a basic CRM view does not provide. Diagnose the cause before you buy.
Why does this guide show "pricing on request" for most tools?
Because the vendors' public pricing pages do not show a numeric price for those plans, and this guide only quotes prices the vendor publishes. Ask for a written quote that states the number of seats or accounts, the contract length, the implementation fee and any data volume limits, then compare quotes on the same basis.
How do RevOps tools connect to billing, product and email systems?
Most connect through native integrations or through an automation layer such as Make. Before you connect anything, decide which system owns each field, such as plan, renewal date or account owner. Two tools writing the same field without a rule produce conflicting data, and that is the most common integration failure.
How long does a revenue operations rollout take?
The length depends on how much data needs cleaning and how many systems are involved. Plan for a pilot of one workflow before a full rollout, and do not switch on forecasting until stages and close-date rules have been stable for a full quarter. Rushing the sequence is the usual cause of a rollout that has to be redone.
What is the difference between RevOps and sales operations?
Sales operations focuses on the sales team's processes, CRM administration and sales forecasting. Revenue operations takes a wider view, covering marketing, sales and customer success around shared account records, stage definitions and revenue targets. In practice, RevOps owns the handoffs between teams, while sales operations owns the sales process inside one team.
Which metrics should a RevOps team review each month?
Review forecast accuracy against the commit made at the start of the period, pipeline created and progressed by stage, win rate by segment, sales cycle length, and net revenue retention. Keep the definition of each metric in writing, because a metric without a definition gets calculated differently by each team.