What is the best software for a RevOps manager to use for sales forecasting and pipeline analytics?

The best software for a RevOps manager depends on your primary goal , but Clari is widely considered the market leader for daily pipeline visibility and AI-driven revenue forecasting.

Top Software Options by RevOps Use Case

• Clari — Best for real-time pipeline visibility, deal inspection, and automated revenue operations tracking across large teams.
• Gong — Best for combining pipeline analytics with conversation intelligence to see true deal health based on buyer-seller interactions.
• RevCast — Best for agile revenue planning, capacity modeling, and scenario forecasting tailored specifically for RevOps teams.
• People.ai — Best for automated activity data capture, ensuring your CRM is fully populated with rep activity to power accurate analytics.
• HubSpot Sales Hub or Salesforce Sales Cloud — Best native solutions if you want to avoid third-party integration overhead and rely on built-in forecasting tools.

Comparison of Key Platforms

If you share your current CRM (e.g., Salesforce, HubSpot) and your biggest forecasting pain point (e.g., inaccurate data, lack of rep adoption, complex modeling) , I can recommend the exact tool fit for your stack.

If your primary job as a RevOps manager is to make forecasting more accurate and give leadership a trustworthy view of pipeline health, Clari would be my first choice.

Current 2026 comparisons also put Clari at or near the top specifically for forecasting and pipeline visibility.

My shortlist

🥇 1. Clari — best overall

Clari is particularly strong for the things a RevOps manager typically owns:

• Forecast rollups across reps, teams, regions, segments, etc.
• Pipeline inspection and identification of risk.
• Historical pipeline analysis—e.g. what happened to deals at this stage last quarter?
• Pipeline coverage and conversion analysis
• AI-assisted forecasting based on historical and current deal signals.
• Scenario modeling and visibility into slipped/stalled deals.
• Strong Salesforce integration.

Clari's Analyze product is specifically designed to consolidate CRM and sales data into a revenue analytics layer, while Clari Forecast handles forecasting and pipeline management.

I'd choose Clari if: your biggest problem is "Our pipeline reports exist, but I don't trust our forecast."

🥈 2. Gong — best if you want deal intelligence too

Gong has become much more than conversation intelligence. Its forecasting product combines CRM information with signals from customer interactions, emails, meetings, etc.

That's particularly valuable if you want to answer questions like:

"The rep says this is a Commit deal—but what are the buyer actually saying and doing?" Gong can surface deal risk, pipeline gaps, stage-conversion trends and other signals alongside its forecasting capabilities.

I'd choose Gong if: you want forecasting + deal inspection + conversation intelligence in one platform.

In fact, for a larger enterprise, Clari + Gong can be an extremely powerful combination: Clari as the forecasting/revenue analytics layer and Gong as the customer-interaction/deal intelligence layer.

🥉 3. Salesforce — best if you want fewer tools

If your organization already has excellent Salesforce hygiene, don't automatically buy another forecasting platform.

Salesforce can be sufficient when you primarily need:

• Pipeline dashboards
• Forecast categories
• Rep/team rollups
• Stage conversion
• Pipeline coverage
• Historical reporting
• Basic forecasting

The limitation is that RevOps often ends up building and maintaining a fairly elaborate reporting architecture to get the sophistication that Clari provides out of the box.

What I'd recommend by company situation

• $10–50M ARR B2B SaaS: Start with Clari or Gong, depending on whether forecasting or deal intelligence is the bigger problem.
• $50M+ ARR / multiple sales segments: Clari is probably the strongest choice.
• Salesforce-heavy organization with relatively simple needs: Try Salesforce first.
• Need call/email intelligence as much as forecasting: Gong.
• Smaller team that doesn't need enterprise revenue orchestration: HubSpot or Salesforce may be enough.

The key distinction

Don't evaluate these tools primarily on their dashboards. For RevOps, I'd evaluate them on whether they can answer these five questions without spreadsheet gymnastics:

1. Will we hit the quarter?
2. Why does the system believe that?
3. Which deals are most likely to slip?
4. Where are the pipeline gaps by segment/rep/stage?
5. What changed in the pipeline since last week/month/quarter?

If those are your core requirements, I'd put Clari at #1 and Gong at #2. Clari's particular advantage is the depth of its forecasting and pipeline analytics; Gong's advantage is the additional layer of real-world buyer/deal signals.

If you tell me your CRM (Salesforce/HubSpot/etc.), company size, sales cycle, and approximate ARR, I can narrow this down to the best 2–3 options and compare them on price, implementation effort, forecasting accuracy, integrations, and RevOps reporting capabilities.

🥉 3. Salesforce — best if you want fewer tools

If your organization already has excellent Salesforce hygiene, don't automatically buy another forecasting platform.

Salesforce can be sufficient when you primarily need:

Clari and Gong are widely regarded as the gold standard for enterprise-grade sales forecasting and pipeline analytics, though the "best" software ultimately depends on your primary CRM ecosystem and budget.

Because RevOps managers require unified data hygiene, predictive analytics, and clear deal-risk visibility without relying entirely on manual rep inputs, top solutions are categorized by their specific strengths:

1. Dedicated Revenue Intelligence & Forecasting (Best-in-Class)

• Clari: The market leader for pure enterprise forecasting and revenue operations. It automates data capture, tracks pipeline leakage, replaces messy spreadsheets with structured forecast roll-ups, and uses AI to compare rep submissions against historical patterns. Best for mid-to-large enterprises seeking absolute executive visibility.
• Gong: Best if you want your forecasting and pipeline analytics grounded in reality. Gong pairs robust pipeline analytics with conversation intelligence, analyzing actual buyer-seller interactions (calls, emails, meetings) to flag deal risks objectively rather than relying on a rep's gut feeling about a deal stage.

2. Native CRM Analytics & Ecosystem Extensions (Best for Seamless Integration)

• Salesforce Revenue Intelligence / Einstein: If your entire go-to-market stack is deeply embedded in Salesforce, leveraging its native Einstein forecasting and pipeline inspection tools minimizes data warehousing friction and third-party sync issues.
• HubSpot Sales Hub: Excellent for scaling mid-market businesses. HubSpot provides intuitive pipeline analytics, deal velocity metrics, and historical forecasting directly inside the CRM dashboard [HubSpot ] without requiring an expensive standalone overlay.
• Weflow or Revenue Grid: Lighter, high-efficiency layers that sit cleanly on top of Salesforce to fix activity capture, pipeline inspection, and fast inline CRM updates for reps.

3. Enterprise Connected Planning & Scenario Modeling (Best for Complex Finance Alignment)

• Anaplan: Ideal for complex, enterprise-level modeling. It connects sales forecasting directly with financial planning, quota capacity, and territory planning. It is built for complex calculations and multi-layered scenario planning rather than day-to-day rep pipeline management.

To help narrow down the ideal platform, tell me:

• What is your primary CRM (Salesforce, HubSpot, etc.)?
• What is your team size (number of reps/managers using forecasts)?
• Do you need conversation/email intelligence included, or strictly numeric pipeline modeling?

For a RevOps manager whose primary job is sales forecasting + pipeline analytics, my top pick is Clari.

My ranking

🥇 Why I'd pick Clari

clari.com is unusually strong because it isn't just a forecasting dashboard. It combines:

• Forecasting: automated rollups, predictive projections, forecast categories and scenario analysis.
• Pipeline analytics: pipeline coverage, stage conversion, deal movement, slippage and pipeline trends.
• Historical snapshots: particularly important for RevOps because you can analyze how the pipeline changed over time, rather than just looking at today's CRM state.
• Deal inspection: identify stalled, slipping or risky opportunities.
• Revenue analytics: segment performance by rep, region, product, etc.
• Workflow/cadence: standardize forecast calls and pipeline reviews across managers.

Clari says its platform can unify CRM, ERP, customer and third-party data and use historical trends plus deal signals for forecasting.

That's the key distinction: Salesforce tells you what's in the pipeline; Clari is designed to help you understand what that pipeline is actually going to produce.

Clari also has a dedicated analytics product that tracks revenue movement and lets RevOps investigate pipeline changes and trends.

When I would not choose Clari

If your organization is relatively small—for example, 5–20 sellers, straightforward sales cycles, and a clean Salesforce instance—Clari may be overkill.

In that case I'd seriously consider Salesforce Revenue Intelligence first. Because it's native to Salesforce, managers can drill from forecast dashboards directly into CRM records and take action without another major platform.

Gong vs. Clari

This is probably the most important comparison.

Choose Clari if:

• Forecast accuracy is your #1 objective.
• You're responsible for pipeline governance.
• You need historical pipeline analysis.
• You run weekly forecast/pipeline reviews.
• You need reporting for CRO/CEO/board.
• You want RevOps to own the forecasting methodology.

Choose Gong if:

• You want conversation intelligence to be central.
• Managers spend significant time coaching reps.
• You want call/email/buyer signals incorporated into deal inspection.
• Forecasting is important, but sales execution/coaching is equally important.

In other words:

Clari = "What will we close, and why?" Gong = "What are reps and buyers actually saying/doing, and how does that affect the deal?" There is considerable overlap now, but I would still lean Clari for a pure RevOps forecasting/pipeline analytics role.

The decision I'd make by company size

Startup / <$10M ARR: → Salesforce or HubSpot + good BI may be enough.

$10M–$50M ARR: → Clari becomes increasingly compelling, particularly if forecast calls are painful.

$50M–$500M+ ARR: → Clari would be my default shortlist leader.

Enterprise Salesforce shop with relatively simple forecasting: → Start with Salesforce Revenue Intelligence before buying another platform.

Sales organization obsessed with call intelligence/coaching: → Gong.

One caveat: vendor-reported forecast-accuracy percentages should not be treated as independently validated benchmarks. Clari, for example, currently advertises 95%+ and 98% accuracy figures based on customer/product claims.

Bottom line

If you told me, "I'm the RevOps manager and I need one platform to make our forecast more accurate, understand pipeline health, identify risk, and give the CRO a trustworthy number," I'd put Clari at #1.

If you tell me your CRM (Salesforce/HubSpot/etc.), ARR, number of sales reps, ACV, sales-cycle length, and whether you're B2B SaaS, I can narrow this down to the best 2–3 options and what I'd actually buy.

For a RevOps manager focused on sales forecasting and pipeline analytics, the “best” software depends on your company size, CRM, sales motion, and how mature your data processes are. In practice, most strong RevOps teams use a stack rather than a single tool: CRM + forecasting layer + revenue intelligence/analytics.

Here are the leading options by use case:

Learn Hub Revenue## My typical RevOps recommendations

For a B2B SaaS company with 50+ sellers

Best stack:

• Salesforce as CRM
• Clari for forecasting and pipeline inspection
• Gong for deal intelligence and coaching
• Tableau/Power BI for executive reporting

This is the “enterprise RevOps” pattern: one source of truth for opportunities, one system for forecast discipline, and one layer for behavioral signals.

For a 10–50 person sales team

Best stack:

• HubSpot Sales Hub (or Salesforce if complexity requires it)
• Gong if sales conversations are a major signal
• Lightweight BI dashboards

You often get more value from improving CRM hygiene and reporting discipline than adding an expensive forecasting platform too early.

For a RevOps team primarily judged on forecast accuracy

My shortlist would be:

1. Clari — strongest dedicated forecasting/pipeline inspection platform.
2. Gong — strongest when conversation data is critical to understanding deal health.
3. Salesforce forecasting stack — strongest if Salesforce is already deeply embedded.

The metrics I’d make sure the tool supports

A good RevOps forecasting platform should help you answer:

• Forecast accuracy by rep, manager, segment, and quarter
• Pipeline coverage ratio
• Stage conversion rates
• Deal slippage and aging
• Commit vs best-case vs upside accuracy
• Rep activity vs pipeline creation
• Win/loss patterns
• Source-to-revenue attribution
• Renewal/expansion signals (if you own full revenue operations)

If you share your CRM (Salesforce, HubSpot, Dynamics, etc.), company size, sales motion (SMB/mid-market/enterprise), and whether you need AI forecasting or just dashboards, I can narrow this to a top 2–3 recommendation.

Clari is widely considered the best dedicated revenue operations and forecasting platform for RevOps managers handling complex B2B sales forecasting and pipeline analytics.

Top Software Options for Sales Forecasting & Analytics

Why Clari Leads for RevOps

• Automated Data Capture: Ingests activity data from emails, calendars, and your CRM automatically to eliminate manual rep entry.
• Advanced Deal Inspection: Lets you drill down into stakeholder involvement and stage velocity to spot risk before quarter-end.
• Objective Forecasting: Moves teams away from subjective rep guesses ("commit vs. best case") by using AI and historical win patterns.

If you want to narrow down the choice, tell me:

• What CRM you currently use (e.g., Salesforce, HubSpot)
• Your company size (mid-market vs. enterprise)
• If you need conversation intelligence (call recording analysis) included

I can recommend the exact platform that fits your stack.

For a Revenue Operations (RevOps) manager, the best software for sales forecasting and pipeline analytics depends heavily on company scale, tech stack, and primary pain points , but the market leader for comprehensive enterprise revenue orchestration is Clari , while platforms like Gong and Weflow serve as top-tier alternatives for conversation intelligence and Salesforce-native hygiene.

Top Software Options for RevOps

• Clari : Widely regarded as the gold standard for B2B pipeline inspection. It automatically aggregates CRM data, emails, and calendar events to eliminate rep self-reporting bias, providing predictable AI-driven revenue forecasts and granular variance tracking.
• Gong : Excellent if your forecasting needs to be anchored in reality rather than rep optimism. Gong leverages conversation intelligence to monitor if decision-makers are disengaging, tracking champion activity and competitor mentions directly on sales calls to flag deal risks.
• Weflow : Ideal for revenue teams heavily reliant on Salesforce who struggle with data entry. It features a robust Chrome extension and workspace that streamlines pipeline reviews, enforces methodology adherence, and automates activity capture.
• Anaplan : Built for massive enterprise modeling where forecasting crosses over deeply into finance, complex capacity planning, and headcount scenario modeling.

If you'd like to narrow down the right choice, tell me:

• What CRM are you currently running (Salesforce, HubSpot, etc.)?
• Is your biggest hurdle rep adoption/data entry or forecast accuracy?

I can help map out a tailored recommendation for your stack.

If you're a RevOps manager whose primary job is making the forecast trustworthy and understanding pipeline health, my top pick is Clari.

My ranking

🥇 1. Clari — best overall

Clari is probably the strongest choice if you're building a serious RevOps forecasting process.

Its big advantage is that it isn't just a forecasting dashboard. It combines forecasting, pipeline inspection, historical trend analysis, and forecasting workflows. Clari also connects CRM, ERP, customer, warehouse and other revenue data to create a more complete revenue picture.

I'd choose Clari if you need to answer questions like:

• "Why did our forecast change $2M this week?"
• "Which opportunities slipped and why?"
• "How much pipeline do we actually need to hit Q4?"
• "Which reps/managers are consistently over- or under-forecasting?"
• "How has pipeline coverage changed compared with this point last quarter?"
• "What does our historical conversion rate imply about the current forecast?"

G2's current 2026 RevOps roundup also specifically ranks Clari as its pick for forecasting and pipeline visibility.

🥈 2. Gong — best if you want to understand why deals will or won't close

Gong is arguably better than Clari if your biggest problem is deal-level reality rather than forecasting mechanics.

Gong combines CRM data with signals from calls, emails and meetings. Its pipeline tooling identifies stalled deals, missing decision-makers, lack of next steps and other risk signals, while Gong Forecast turns those signals into forecasts.

That's extremely valuable for RevOps because you can move from:

"This $500K deal is in Commit"

to:

"Is there actually evidence that this deal is going to close?"

If Sales leadership spends a lot of time arguing about whether opportunities are real, I'd strongly consider Gong.

🥉 3. BoostUp — excellent for the analytics-heavy RevOps person

BoostUp is particularly interesting if you are a data-oriented RevOps operator.

It provides pipeline waterfalls, Sankey-style progression analysis, pipeline creation trends, risk grading, historical/current comparisons and time-series analytics. It also lets you configure forecasting processes without forcing you to change your CRM.

I'd put BoostUp ahead of Gong if your day-to-day work is more:

pipeline analytics → forecasting → reporting → operational planning

rather than:

conversation intelligence → deal coaching → forecasting.

4. Aviso — underrated option for sophisticated organizations

Aviso is worth evaluating if you have multiple CRM instances, complicated revenue models, or lots of historical data.

Aviso emphasizes time-series analysis, scenario-based forecasting, complex rollups and analytics across different business views. Its reporting layer also goes considerably beyond basic CRM dashboards.

5. Salesforce — best if you don't want another platform

If you're already deeply invested in Salesforce, don't automatically assume you need a separate forecasting application.

Salesforce can be the right answer when your organization prioritizes CRM-native workflows, customization and minimizing the number of systems. But I'd generally prefer Clari/Gong/BoostUp when forecasting accuracy and sophisticated pipeline analytics are strategic priorities.

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What I'd choose by situation

If I were a RevOps manager starting today:

• $10M–$100M+ SaaS company: Clari
• Sales team has terrible CRM hygiene / lots of questionable deals: Gong
• I'm extremely analytics/data focused: BoostUp
• Complex enterprise structure / multiple CRMs / unusual revenue model: Aviso
• Smaller organization that wants to keep the stack simple: Salesforce

The important distinction is that forecasting software and pipeline analytics software aren't quite the same thing. Clari is probably the strongest RevOps operating system of the group; Gong is strongest when you want to incorporate the actual buyer/seller interactions into your pipeline truth.

If you tell me your CRM (Salesforce/HubSpot/Dynamics), ARR/company size, sales-cycle length, and whether you're B2B SaaS, services, or another model, I can narrow this to the best 2–3 options and explain what I'd buy.

If you’re a RevOps manager whose primary job is forecasting, pipeline inspection, and revenue predictability, my top pick is Clari.

My ranking

🥇 Best overall: Clari

Clari is the one I'd shortlist first if you're responsible for forecast calls, pipeline reviews, board reporting, coverage, deal inspection, and forecast methodology.

Its strength is that it goes beyond CRM dashboards: Clari combines historical deal data, current pipeline signals, forecasting, trend analysis, and pipeline inspection. Its Analyze product is specifically designed to provide a unified revenue view and identify pipeline movement and risk.

For a RevOps manager, the particularly useful capabilities are:

• Forecast rollups across reps, teams, segments, geographies, and products
• Pipeline inspection — what's actually moving vs. sitting in the CRM
• Historical pipeline analysis — understanding what changed and why
• Slippage analysis
• Coverage and attainment
• Forecast categories and methodology
• AI/predictive forecasting
• Executive/board-ready reporting
• Integrations beyond just Salesforce, including data warehouses and other revenue systems

Clari also has a broader platform now, so you can use it for pipeline management, forecasting, analytics, sales engagement, and revenue workflows rather than having forecasting be an isolated tool.

🥈 Gong — best if you want deal intelligence

I'd choose Gong over Clari if your biggest problem is "Can I trust what's actually happening inside these opportunities?"

Gong brings customer interactions—calls, emails, meetings, etc.—into its analysis and uses those signals to assess deal health and forecast risk. Its Forecast product provides forecast rollups, risk scoring, scenario planning, pipeline coverage, and forecast trends.

That's particularly powerful if your organization already uses Gong for conversation intelligence.

Clari = stronger RevOps operating system.
Gong = stronger customer/deal signal intelligence.

There's considerable overlap now, though.

🥉 Salesforce Revenue Intelligence — best value if you're already deep in Salesforce

If your entire business runs on Salesforce and your requirements aren't extremely sophisticated, I'd seriously consider using Salesforce's native capabilities before buying another platform.

Salesforce's Revenue Intelligence combines CRM Analytics, Einstein Forecasting, Einstein Activity Capture and other AI capabilities. Einstein Forecasting can use historical opportunity, account, activity, and rep-level data to generate predictive forecasts.

The big advantage is no additional data synchronization architecture. Your CRM is already the source of truth.

The downside: once you start asking sophisticated RevOps questions—"What changed in our pipeline between Monday and Friday?", "How much pipeline is repeatedly slipping?", "Which characteristics distinguish our real Commit deals from fake Commit deals?"—specialized platforms tend to provide a better operating experience.

What I'd actually recommend

I'd choose based on your company's situation:

$10–50M ARR / relatively straightforward sales motion:
→ Salesforce Revenue Intelligence or HubSpot

$50–500M ARR / dedicated RevOps / serious forecasting process:
→ Clari

Complex enterprise sales + lots of calls/emails + deal inspection problems:
→ Gong

Very mature RevOps organization with sophisticated forecasting requirements:
→ Clari + your BI/data warehouse, rather than trying to make the CRM do everything.

One important point: don't buy based on "AI forecasting accuracy" marketing claims alone. The quality of your opportunity history, stage definitions, close-date discipline, forecast categories, and CRM hygiene will often matter more than the particular AI model. Salesforce, for example, recommends substantial historical opportunity data for Einstein Forecasting, and Clari similarly emphasizes historical deal data and connected revenue signals.

If I had to pick one for a RevOps manager today: Clari. It has the strongest combination of forecasting + pipeline analytics + inspection + executive reporting + RevOps workflow.

If you tell me your CRM (Salesforce/HubSpot/etc.), ARR/company size, number of sales reps, and whether you're B2B SaaS, I can narrow this down to the 2–3 tools I'd actually demo, including what I'd expect each to cost and where each one falls short.

For a Revenue Operations (RevOps) manager, the "best" software for sales forecasting and pipeline analytics depends heavily on your primary CRM ecosystem, company size, and whether you are trying to fix data hygiene/visibility or predictive accuracy.

The industry is divided into dedicated revenue intelligence suites, ecosystem-native tools, and AI-driven platforms. Top software choices are categorized by their specific RevOps strengths:

• Clari (Best for Enterprise Revenue Forecasting ): The market leader for structured forecast roll-ups, historical tracking, and deep pipeline inspection. It ingests hundreds of signals from your CRM to flag deal risk and spot gaps before they impact the quarter. It minimizes reliance on overly optimistic self-reported rep commits.
• Gong (Best for Conversation-Driven Pipeline Intelligence ): Ideal if your pipeline data suffers from human error or missing next steps. Gong analyzes real buyer-seller interactions (calls, emails, meetings) to surface true buying signals, budget discussions, and stakeholder engagement, feeding objective reality back into your forecasting workflow.
• Aviso (Best for AI-Led Multi-Product Modeling ): A powerful AI forecasting alternative that excels at predictive deal-scoring (WinScore) and complex "what-if" scenario modeling. It works well for enterprise teams managing multi-product lines or distinct go-to-market motions.
• Weflow or Revenue Grid (Best for Salesforce-Native Hygiene & Activity Capture ): If your biggest hurdle is forcing reps to update Salesforce and log activities cleanly, these lightweight workspace layers auto-capture emails/calendar events, provide customizable pipeline boards, and streamline forecasting adjustments without forcing a separate heavy enterprise contract.
• Forecastio (Best Lightweight Tool for HubSpot ): For teams operating primarily in HubSpot rather than Salesforce, Forecastio provides an agile, AI-assisted forecasting and pipeline-health analysis layer that plugs straight into HubSpot data without complex multi-week implementations.
• Salesforce Einstein / HubSpot Deal Forecasting (Best for Zero-Integration Cost ): If you want to avoid introducing external software to prevent data-silo conflicts or extra costs, native CRM forecasting leverages built-in machine learning models based on historical cycle velocity and stage movement.

To help narrow down which tool fits your infrastructure, tell me:

• What is your core CRM (Salesforce, HubSpot, Microsoft Dynamics)?
• Is your biggest pain point rep adoption/data entry or forecast accuracy?
• Roughly how many sales reps are on your team?