9 Best RevOps and Revenue Intelligence Platforms in 2026: Forecasting, Attribution, and Cost Compared

Yananai A. Chiwuta·Reviewed by Celine Sky··14 min read·Last updated July 2026
9 Best RevOps and Revenue Intelligence Platforms in 2026: Forecasting, Attribution, and Cost Compared

TL;DR

  • This category is expensive and the published prices are not the prices. Vendr's median across 287 Clari purchases is $75,488 per year, with a range from $18,931 to $408,424. Budget from actual transaction data, not from vendor pages.
  • Clari is the strongest fit for enterprise forecasting, now merged with Salesloft as of December 2025, at $200 to $310 or more per user per month for the full stack.
  • HockeyStack is the strongest fit for B2B marketing and revenue attribution, from $2,200 per month for the Platform tier.
  • LeanData is the strongest fit where routing and territory management are the actual problem, averaging $37,987 for SMB and $73,812 for enterprise.
  • Implementation is the line item that breaks budgets. Clari runs $15,000 to $25,000 standard and $50,000 to $75,000 for complex deployments. HockeyStack onboarding runs $5,000 to $15,000 or more.

Contents


What revenue intelligence actually covers

The term covers four distinct jobs that vendors bundle inconsistently, and confusing them is the most common cause of a bad purchase here.

Forecasting predicts what will close, when, and with what confidence, by reading CRM state alongside activity and engagement data. Clari and Aviso are built around this.

Attribution determines which marketing and sales touches contributed to revenue. HockeyStack and Dreamdata are built around this. It is a fundamentally different data problem to forecasting and rarely done well by the same product.

Routing and territory management decides who owns which account and enforces it in the CRM. LeanData owns this space. It is operational plumbing rather than analytics.

Compensation and quota management models territories, quotas, and commission. Xactly and CaptivateIQ live here, and this is a finance product that happens to touch sales.

A platform strong at forecasting is usually weak at attribution. Buying one expecting the other is the most expensive mistake in this category, because these contracts are annual, large, and slow to unwind.


Comparison table: category, pricing, and implementation

PlatformPrimary jobEntry priceImplementationContract
ClariForecasting$100 to $120/user/mo$15,000 to $75,000Annual
HockeyStackAttribution$2,200/mo Platform$5,000 to $15,000+Annual
Gong ForecastForecastingModule on Gong$7,500+ onboardingAnnual or multi-year
LeanDataRoutingQuoteModerateAnnual
AvisoForecasting$50/seat, no platform feeLowerAnnual
XactlyCompensationQuoteHighAnnual
DreamdataAttributionQuoteModerateAnnual
Salesforce Revenue CloudForecastingBundledHighAnnual
Factors.aiAttribution$5,000/yr BasicLowAnnual
PlatformVendr or reported medianSMB averageEnterprise average
Clari$75,488/yr across 287 purchases$66,655$264,812
GongNot listed$73,673$308,533
LeanDataNot listed$37,987$73,812
XactlyNot listed$92,561$285,915
HockeyStack~$26,400/yr at Platform tierNot publishedNot published

The 9 platforms reviewed

1. Clari

Best for: Enterprise revenue organisations that need forecast accuracy defensible to a board.

Clari is the reference forecasting platform. It reads CRM state, activity, and engagement signals to produce a forecast with confidence intervals, then surfaces the deals moving the number. Following the completed merger with Salesloft in December 2025 under CEO Steve Cox, it now spans forecasting, conversation intelligence via Copilot, and engagement via Salesloft.

Pricing: Clari Forecast is $100 to $120 per user per month. Clari Copilot is $60 to $110, with some sources citing $120 to $160 standalone. The Salesloft engagement layer is $50 to $80. A full stack lands at $200 to $310 or more per user per month. Implementation is $15,000 to $25,000 for standard deployments and $50,000 to $75,000 for complex ones. Vendr's median across 287 purchases is $75,488 per year, ranging from $18,931 to $408,424, with average savings of 14.71%. Spendhound puts average annual spend at $66,655 for SMB and $264,812 for enterprise.

Clari markets 448% ROI, 30% more first meetings, 15% faster sales cycles, 90% less time spent forecasting, and 22% reduction in ramp time. These are vendor-published figures.

Where it falls short: Cost, and dependence on CRM hygiene. Clari's forecast is only as good as the pipeline data feeding it, and organisations with inconsistent stage definitions get a very expensive restatement of their existing problems. The merger also means packaging is still consolidating, so what you are quoted in mid-2026 may not match published breakdowns.

Verdict: The strongest forecasting product available, appropriate where forecast accuracy has genuine board-level consequences. Fix CRM hygiene first or you will not see the value.


2. HockeyStack

Best for: B2B marketing and revenue teams that need multi-touch attribution connecting spend to closed revenue.

HockeyStack is the attribution product that GTM teams actually recommend to each other. It stitches website behaviour, ad platforms, CRM, and marketing automation into a single revenue attribution model, and adds account intelligence on top.

Pricing: G2 lists four editions with the Platform tier starting at $2,200 per month, roughly $26,400 per year. Add-ons for ABM, Sales Intelligence, and Data Warehouse Sync are all quote-only. Pricing has risen over time, from $950 per month in 2023 to a revised $1,399 per month, to the current $2,200 Platform entry. Onboarding runs $5,000 to $15,000 or more, and overage fees apply on contact volume. G2 ratings sit at 4.5 to 4.6. The company has 77 employees, was founded in 2021, and went through Y Combinator.

Where it falls short: Price escalation has been steep and shows no sign of stopping, which matters when you are modelling a three-year cost. Contact-volume overages are easy to underestimate. Add-on pricing being quote-only makes total cost hard to establish before a sales cycle.

Verdict: Note that Forma Norden's internal assessment does not designate a best pick for marketing attribution and lists HockeyStack as the top alternative. That absence is deliberate: attribution quality depends so heavily on your data completeness that no product wins universally. HockeyStack is nonetheless the strongest fit for most B2B teams asking this question.


3. Gong Forecast

Best for: Existing Gong customers who want forecasting built on conversation data rather than CRM state alone.

Gong Forecast is a module within the Gong platform, using call and email signals as forecast inputs. That is a genuine differentiator, because activity data is harder for a rep to manipulate than a CRM stage field.

Pricing: Sold as part of Gong, where licences run $1,200 to $1,920 per user per year plus a mandatory platform fee of $5,000 to $50,000 and onboarding from $7,500. Bundled Foundation, Engage, and Forecast pricing is roughly $250 per user per month. Spendhound puts Gong's average annual spend at $73,673 for SMB and $308,533 for enterprise.

Where it falls short: Not available without Gong. Pure forecasting depth trails Clari. The 2026 introduction of Gong Credits for AI agent usage adds a variable cost line.

Verdict: Compelling if you already run Gong. Not a reason to adopt Gong.


4. LeanData

Best for: Organisations where the actual problem is that leads reach the wrong owner, not that forecasts are inaccurate.

LeanData is routing and territory management infrastructure. It matches leads to accounts, applies routing logic, and enforces ownership rules inside Salesforce. It is unglamorous and it solves a problem that costs real revenue.

Pricing: Quote-based. Reported averages are $37,987 for SMB and $73,812 for enterprise annually.

Where it falls short: Heavily Salesforce-oriented. No forecasting or attribution capability, so it is a component rather than a platform. Configuration complexity is real and usually needs a dedicated administrator.

Verdict: The right purchase when lead-to-account matching and territory enforcement are the binding constraint. Do not evaluate it against Clari, they solve different problems.


5. Aviso

Best for: Teams that want AI forecasting without a platform fee.

Aviso positions explicitly against Clari on pricing structure, offering forecasting at roughly $50 per seat with no platform fee. For a fifty-person team that is a materially different proposition to Clari's stack pricing.

Where it falls short: Smaller vendor, thinner ecosystem, and less reference-able in enterprise procurement. The $50 per seat figure comes from competitive positioning material, so verify current pricing directly.

Verdict: Worth a look for teams that want forecasting discipline without a six-figure commitment. Expect to do more of your own diligence.


6. Xactly

Best for: Finance and sales operations teams managing complex commission plans across large sales organisations.

Xactly handles incentive compensation, quota planning, and territory design. It is a finance product, and it should be evaluated by finance.

Pricing: Quote-based. Reported averages are $92,561 for SMB and $285,915 for enterprise annually.

Where it falls short: Expensive and complex to implement. Overkill unless commission plans are genuinely complicated, which for most teams under a hundred reps they are not. Spreadsheets remain defensible for longer than vendors suggest.

Verdict: Justified where comp plan errors carry real financial and legal exposure. Otherwise premature.


7. Dreamdata

Best for: European B2B teams needing attribution with GDPR-conscious data handling.

Dreamdata is the main European alternative to HockeyStack for B2B revenue attribution, with a strong data model and a self-serve entry point that HockeyStack no longer offers.

Where it falls short: Smaller ecosystem than HockeyStack. Attribution depth is comparable but account intelligence is thinner.

Verdict: The strongest fit for European teams where data residency is part of the evaluation.


8. Salesforce Revenue Cloud

Best for: Salesforce-committed organisations that want forecasting without adding a vendor.

Salesforce's native forecasting and revenue management sits inside the CRM, avoiding an integration and a separate contract.

Pricing: Bundled into Salesforce licensing, where Enterprise is $175 per user per month and Unlimited is $350, both billed annually. Unlimited also includes conversation intelligence and sales engagement, which changes the comparison if you were otherwise buying those separately.

Where it falls short: Native forecasting is meaningfully less sophisticated than Clari or Aviso, which is precisely why those companies exist. Configuration burden is high.

Verdict: The pragmatic choice where adding a vendor is the harder problem than forecast precision.


9. Factors.ai

Best for: Small and mid-sized teams that want account intelligence and attribution at a fraction of enterprise pricing.

Factors.ai combines website de-anonymisation, intent, and attribution in one product with published, self-serve-friendly pricing, which is rare in this category.

Pricing: Free tier available. Basic at $5,000 per year, Growth at $15,000, and Enterprise at $25,000.

Where it falls short: Attribution depth trails HockeyStack and Dreamdata. Forecasting is not really present. Best understood as an entry point rather than an endpoint.

Verdict: The most accessible way into this category, and honest about what it is.


Real contract values from transaction data

Vendor pricing pages in this category are close to useless. Transaction data is not.

PlatformData sourceMedian or averageRange
ClariVendr, 287 purchases$75,488/yr median$18,931 to $408,424
ClariSpendhound$66,655 SMB, $264,812 enterpriseNot published
GongSpendhound$73,673 SMB, $308,533 enterpriseNot published
LeanDataReported averages$37,987 SMB, $73,812 enterpriseNot published
XactlyReported averages$92,561 SMB, $285,915 enterpriseNot published

Two things stand out. First, the enterprise-to-SMB multiple is roughly four times across every platform, which tells you these are volume and complexity priced rather than value priced. Second, Clari's observed range spans more than twenty times from lowest to highest, meaning the quote you receive says as much about your negotiating position as about the product.

Vendr reports average savings of 14.71% on Clari purchases, which is a reasonable expectation for a prepared buyer. Ask for the transaction data for your company size before entering a negotiation, and treat the first quote as an opening position rather than a price.


Why forecasting accuracy claims should be treated carefully

Every vendor in this category publishes an accuracy improvement figure. Almost none of them are independently verifiable, and the underlying methodology matters more than the number.

The structural problem is that forecast accuracy is partly a function of behaviour, not just prediction. When an organisation adopts a forecasting platform, it also usually tightens stage definitions, enforces close date hygiene, and introduces a weekly forecast review. Accuracy improves. Attributing all of that improvement to the software is generous.

The second problem is selection. The organisations that buy forecasting platforms are the ones already investing in revenue discipline. Their forecasts were going to improve anyway.

None of this means the products do not work. It means the honest business case is narrower than the marketing: a forecasting platform gives you a consistent, auditable method and removes manual spreadsheet effort, and it surfaces deal risk earlier than a human review would. Those are real and worth paying for. A specific percentage improvement in accuracy is not something you should underwrite in a business case.

We have not independently tested forecast accuracy for any platform in this article, and every performance figure quoted here is vendor-published or drawn from third-party aggregators.


Build or buy: the honest threshold

A meaningful share of what these platforms do can be built with a data warehouse, a BI tool, and an automation layer. Whether you should is a question of scale and staffing rather than capability.

Building makes sense when your revenue model is unusual enough that vendor data models fight you, when you already have a data team and a warehouse, and when your reporting requirements change faster than a vendor roadmap. The honest cost is one analyst's ongoing time, not a one-off project.

Buying makes sense when you need something working this quarter, when nobody owns data infrastructure, and when the auditability of a third-party method matters to your board or investors.

The threshold we apply in practice: below roughly thirty reps, a warehouse plus a BI dashboard plus disciplined stage definitions outperforms most purchased forecasting, because the bottleneck is process rather than modelling. Above roughly a hundred reps, the coordination cost of a homegrown system exceeds the licence.

Between those numbers it is a genuine judgement call, and the deciding factor is usually whether you have someone who will own it.


Which platform fits which team

SituationStrongest fitWhy
Enterprise forecast accuracy matters to the boardClariDeepest forecasting, defensible method
Need marketing-to-revenue attributionHockeyStackStrongest B2B attribution model
European team with data residency needsDreamdataGDPR-conscious attribution
Leads reaching the wrong ownerLeanDataPurpose-built routing and territory enforcement
Already running GongGong ForecastForecasts from activity data, no new vendor
Want forecasting without a platform feeAviso~$50 per seat, no platform fee
Complex commission plansXactlyPurpose-built comp management
Salesforce-committed, avoid new vendorsRevenue CloudNative, no integration
Small team, first attribution purchaseFactors.ai$5,000 per year Basic, published pricing


AI vs SDR Cost Comparison Template: Download Free

Get the practical framework for applying this article to your GTM system.

Download the Cost Comparison Template →



FAQ: RevOps and Revenue Intelligence Platforms

How much does Clari cost?

Vendr's median across 287 purchases is $75,488 per year, ranging from $18,931 to $408,424, with average savings of 14.71%. Module pricing is roughly $100 to $120 per user per month for Forecast, $60 to $110 for Copilot, and $50 to $80 for Salesloft engagement, reaching $200 to $310 or more for the full stack. Implementation adds $15,000 to $25,000, or $50,000 to $75,000 for complex deployments.

What is the difference between revenue intelligence and forecasting?

Forecasting predicts what will close and when. Revenue intelligence is a broader term covering forecasting, attribution, routing, and compensation management. Vendors bundle these inconsistently, and a platform strong at forecasting is usually weak at attribution because they are different data problems.

What is the best revenue attribution tool?

HockeyStack is the strongest fit for most B2B teams, from $2,200 per month at the Platform tier. Dreamdata is the strongest European alternative where data residency matters. Factors.ai offers the most accessible entry point at $5,000 per year. Attribution quality depends heavily on your own data completeness.

Did Clari and Salesloft merge?

Yes. The merger completed in December 2025, with Steve Cox appointed CEO. Groove has been folded into Salesloft branding. The combined stack spans forecasting, conversation intelligence, and sales engagement at $200 to $310 or more per user per month.

How much should I budget for implementation?

Clari runs $15,000 to $25,000 for standard deployments and $50,000 to $75,000 for complex ones. HockeyStack onboarding runs $5,000 to $15,000 or more. Gong onboarding starts at $7,500. Implementation is the line item most commonly missing from initial budgets in this category.

When should I build instead of buy?

Below roughly thirty reps, a warehouse plus BI plus disciplined stage definitions usually outperforms purchased forecasting, because the bottleneck is process rather than modelling. Above roughly a hundred reps, coordination cost exceeds the licence. In between, the deciding factor is whether you have someone who will own the system.