14 Best Sales Forecasting Software Tools in 2026 (Ranked Against the Fall 2026 Market Leaders)

Most sales forecasts are wrong, and everyone in the room knows it. Gartner research reported by Demand Gen Report found that only 7% of sales organizations achieve forecast accuracy of 90% or higher, with the median sitting between 70% and 79% I’ve watched a board call where a quarter forecast moved by six figures in eleven days. Nothing changed in the market. The CRM just caught up with reality.

In this post, I’ll walk you through how forecasting actually works (quantitative, qualitative, multivariable), show you the one input that quietly wrecks most forecasts, and give you 14 forecasting tools worth shortlisting in 2026, checked against the vendors the market currently recognizes as leaders. Pricing included where the vendor publishes it, and flagged clearly where they don’t.

What is sales forecasting?

Sales forecasting is how you predict your future sales performance.

To make those predictions, you look at past indicators such as historical data and market trends, plus any other factor that moves your numbers.

By analyzing past sales data, market conditions, customer behavior, and other internal and external factors, you can estimate future sales volumes, revenues, and trends.

The point is to give your business a usable view of what’s coming, so you can make decisions about resource allocation, budgeting, inventory management, and strategic planning with something better than a gut feel.

You can get there through several methods. Quantitative forecasting runs on time series and regression analysis. Qualitative forecasting runs on expert opinion and market research. Multivariable analysis forecasting combines several inputs at once, and I’ll break down all of them below.

Why is it important?

A good forecasting strategy does more than satisfy curiosity about how you’re doing.

Sure, hitting your number feels good. But forecasting exists so you can decide what to do next with evidence instead of taking a leap of faith.

With sales forecasting, you’re able to:

• •

  Devise strategic planning

Forecasting helps you set realistic goals and build strategies to hit them. It gives you a roadmap for growth and tells you where to put resources: budget, headcount, inventory, and production capacity.

• •

  Allocate your resources efficiently

This includes determining inventory levels, staffing requirements, marketing budgets, and investment decisions.

• •

  Manage your business’s finances

Accurate sales forecasts help you manage cash flow, set revenue targets, and make informed financial decisions. That only works if the pipeline numbers flowing into finance are current, which is why most teams sync their outbound activity and deal data back into the CRM through native CRM integrations rather than exporting spreadsheets once a month.

• •

  Evaluate your performance and adjust

By comparing actual sales results to forecasted figures, you can identify strengths and weaknesses, measure progress toward goals, and adjust as needed. You’ll pinpoint the parts of the business that aren’t performing and would otherwise drag down the whole funnel. If the gap sits at the top of the funnel, your reply and booking rates across channels are the first place to look, and multichannel prospecting reporting will show you which channel is actually generating the meetings.

• •

  Develop risk management

Forecasting lets you anticipate problems before they hit the number: market fluctuations, competitive threats, pricing pressure, and economic downturns. From there you can build mitigation into the plan instead of reacting to a bad quarter after it closes.

• •

  Increase your investor’s confidence in the brand

For publicly traded companies or those raising, accurate sales forecasts are essential. Investors rely on them to assess growth potential and make investment decisions.

Sales Forecasting Method

The method you choose depends on how much data you have, how complex your market is, and how precise the forecast needs to be.

You can also combine methods. Plenty of teams build a baseline with quantitative forecasting, then adjust it with qualitative input for anything the model can’t see.

Quantitative Forecasting Method

Quantitative sales forecasting is based on tangible facts and numbers.

Because it gives you data-driven predictions, it’s more reliable than judgment alone. It runs on historical data and mathematical analysis of trends and patterns in your industry.

Quantitative methods account for trends, seasonality, cyclical patterns, statistics, and other historical data that could push sales up or down. The tradeoff: this approach doesn’t account for external factors such as shifts in consumer behavior.

If you run a larger company with years of history behind you, analyzing all that data on a regular cadence beats guessing by a wide margin.

One caveat I’d add from experience: quantitative forecasting inherits the quality of whatever list and account data you started with. Duplicate accounts, wrong company sizes, and bounced contacts all distort the historical baseline. Teams that build their pipeline from a verified B2B lead database start with cleaner firmographic data, which makes the historical trend you’re modeling considerably less noisy.

Qualitative Forecasting Method

Qualitative forecasting is based on subjective expert opinion and non-measurable data.

These techniques earn their place when historical data is scarce or unreliable, when the market environment is shifting, or when you’re making long-term strategic calls.

Qualitative forecasting is particularly useful when your business is fairly new and you don’t have a large data log to lean on. It also lets you build external factors into your predictions.

Take a recurring B2B buying cycle. If your buyers reset budgets in January and your deals consistently stall through December, no historical average will explain that on its own. You adjust for it. The same applies to timing signals inside accounts: hiring sprees, funding rounds, leadership changes, tech stack switches. Intent signals turn that kind of market judgment into something you can actually track per account instead of a hunch a rep mentions on a Friday call.

The downside is real. Qualitative forecasts are inherently subjective and prone to bias, so validate them against objective data wherever you can, and pair them with quantitative methods for predictions you’d be willing to defend.

Multivariable Analysis Forecasting

Multivariable analysis forecasting predicts future outcomes by considering multiple variables at the same time.

Unlike univariate forecasting, which relies on a single variable, multivariable analysis accounts for the interrelationships and dependencies between several factors that influence the outcome.

How multivariable analysis forecasting works:

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  Identify relevant variables

Start by identifying the factors that may affect the outcome you’re forecasting. These include independent variables (the factors that influence the outcome) and dependent variables (the outcome being predicted).

⬇️

• •

  Collect your data

Next, gather historical data for each identified variable over a relevant time period.

This may include quantitative data such as sales figures, market trends, demographic information, and economic indicators.

⬇️

• •

  Analyze the data you’ve collected

Analyze the collected data to identify patterns, trends, and relationships between the variables.

This may involve correlation analysis, regression analysis, and time series analysis to quantify the relationships between variables and assess their impact on the forecasted outcome.

⬇️

• •

  Develop a statistical model

Based on that analysis, build a statistical model that represents the relationships between the variables and predicts the future outcome.

The model may be linear or nonlinear, depending on the nature of the data and the relationships between variables.

⬇️

• •

  Start your forecasts!

Once the model is developed and validated, use it to generate forecasts based on the values of the independent variables.

You can run these for short-term or long-term horizons, depending on what you need.

⬇️

• •

  Validate and adjust accordingly

Compare the forecasts the model produces against actual outcomes to assess accuracy and reliability.

If needed, adjust or refine the model based on those validation results to improve its predictive performance.

Your forecast is only as good as the pipeline feeding it

Here’s the part most forecasting content skips.

Every tool below does the same fundamental job: it reads your pipeline and projects it forward. None of them can tell you that the 40 accounts your SDR added last month were sourced from a stale list, that half the contacts bounced, or that six of those logos aren’t even in your ICP anymore.

AI applied to a broken pipeline doesn’t fix the forecast. It makes the wrong number arrive faster and with better graphics.

So before you spend five figures on forecasting software, I’d fix the inputs. That means verified contact data instead of scraped lists, intent signals that tell you which accounts are actually in a buying window, and outbound activity syncing back into your CRM automatically so deal stages reflect real conversations. That’s the layer lemlist sits in, and it’s why we rate 4.6/5 on G2 with 2,000+ reviews across G2, Capterra, and Trustpilot. Forecasting tools read the data. Something has to produce it correctly first.

Concede the obvious: good data won’t save a team with no forecasting discipline. But a disciplined team forecasting on bad data will still miss, every quarter, and never quite know why.

Sales Forecasting Software

As with most steps in the sales funnel, there’s software to make this faster and more accurate.

I’ve grouped the list below around the vendors buyers actually shortlist today. For context, FeaturedCustomers published its Fall 2026 Sales Forecasting Software Customer Success Report on October 6, 2026, naming Blue Ridge, Clari, Gong, Jedox, John Galt Solutions, OneStream Software, Outreach, Planful, and Workday Adaptive Planning as Market Leaders, with InsightSquared, Jirav, Limelight Software, Prophix Software, Quantrix, and Xactly Forecasting awarded Top Performer honors. That report draws on over 4,000 pieces of verified customer reference content.

One note before the list. Most of these tools either live inside your CRM or sync with it, so whichever you pick, your outbound data needs to land there cleanly. lemlist’s CRM integrations push activity and replies into HubSpot and Salesforce in real time, which is the layer these forecasting engines read from.

Here are 14 of the best sales forecasting tools out there.

1. Anaplan

G2 4.6/5 (344 reviews) | Capterra 4.3/5 (26 reviews)

Overview

Anaplan is a connected planning platform for modeling, planning, and running your business.

Using its proprietary Hyperblock technology, Anaplan lets you contextualize real-time performance and forecast future outcomes for faster decisions.

On its own, Anaplan is fairly accurate. If you need tighter forecasts, Anaplan PlanIQ adds predictive capability on top and performs noticeably better.

Anaplan connects with multiple cloud systems such as AWS S3, Google BigQuery, and Microsoft Azure Blob, and uses capabilities from third-party systems via the CloudWorks framework.

That said, users have mentioned, “This software doesn’t go well with the high integration functions and doesn’t offer a wide range of event workflows”.

Anaplan leans hard on user experience and offers a demo with a short video walking through the product. Reviewers describe the UX as native and friendly, though some say usability still has room to improve.

Pricing

Free trial ✅

Anaplan doesn’t publish pricing, so it’s available on request only. We do know there are three plans: Basic, Professional, and Enterprise.

✅ Pros

• •

  Intuitive user interface

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  History feature that shows any change made to a specific cell

❌ Cons

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  Dashboard functionality is less flexible than Excel

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  Doesn’t offer a wide range of event workflows

2. Pipedrive

G2 4.2/5 (1008 reviews) | Capterra 4.6/5 (2950 reviews)

Overview

Pipedrive offers sales forecasting features that predict future performance based on historical data and current pipeline information.

With Pipedrive’s forecasting functionality, you can:

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  Track Sales Pipeline

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  Generate Forecasts

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  Customize Forecasting

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  Monitor Performance

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  Generate Reports

Forecasting is tied to deal progression, which keeps accuracy high as long as reps keep stages current.

Pipedrive offers over 400 integrations, including Zendesk, PandaDoc, MailChimp, and many more. Users generally appreciate how simple those integrations are to set up.

On the other hand, reviewers say the UX isn’t especially friendly for newcomers. Dashboards aren’t structured well and there are too many added features competing for attention.

Pricing

Sales forecasting is included in the Advanced plan and above.

✅ Pros

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  Affordable pricing

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  Good analytics and reports for forecasting pipeline and deals

❌ Cons

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  UX could be improved

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  You can’t move between contacts in the same list

3. Clari

G2 4.5/5 (1759 reviews) | Capterra 4.5/5 (19 reviews)

Overview

Clari is a sales forecasting platform that uses AI and automation to help sales teams predict and manage their pipeline. It was named a Market Leader in the FeaturedCustomers Fall 2026 report.

Features include:

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  Pipeline Visibility

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  Predictive Analytics

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  Deal Insights

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  Forecast Accuracy

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  Collaboration Tools

Clari’s aim is to simplify the sales forecasting process, improve forecast accuracy, and help sales teams make better-informed decisions.

Between sales trend analysis, statistical analysis, and reporting, Clari produces clear predictions you can take into a pipeline review without reformatting anything.

Clari is partnered with 41 different apps and integrates with Salesforce, Salesloft, and Google Workspace, among others.

The reporting side is strong. Solid graphics and template options make it easy to communicate forecast changes to the rest of the business.

Pricing

Clari does not publish public pricing. According to FeeGuides, the core forecasting tool runs roughly $1,200 to $1,500 per user per year in 2026, with a median contract around $76,000. Treat that as a planning range and expect a custom quote.

✅ Pros

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  Edits several fields for separate opportunities from Salesforce

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  Revenue operations teams can drop the Excel spreadsheet

❌ Cons

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  Not always intuitive to click through

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  Functionality limits such as drill-down and view replies

4. ForecastX

Capterra 4.4/5 (7 reviews). G2 holds a single review, so there’s no meaningful average there yet.

Overview

ForecastX is a forecasting tool from John Galt Solutions, named a Market Leader in the FeaturedCustomers Fall 2026 report. It brings advanced statistical forecasting to businesses predicting sales and demand.

Some of ForecastX’s features include:

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  Performance metrics

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  Built-in algorithms

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  Exception analysis

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  Correlation analysis

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  Modeling and simulation

Among many others.

ForecastX runs as an Excel plugin and generates reports instantly inside the spreadsheet you’re already in. Its PROCAST engine handles statistical method selection for you.

Pricing

Free trial ❌

ForecastX doesn’t offer a free trial or free plan, though a demo is available on request.

John Galt Solutions currently lists two plans, both with a $500 one-time software and installation fee per user:

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  ForecastX Lite: $59/month, which works out to $1,208 for the first year per user

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  ForecastX: $99/month, which works out to $1,688 for the first year per user

✅ Pros

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  Online and face-to-face training available

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  Statistical depth that’s unusual at this price point

❌ Cons

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  Exporting features could be improved

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  Slows down with large data volumes

5. Aviso

G2 4.4/5 (712 reviews) | Capterra 4.1/5 (30 reviews)

Overview

By combining human expertise with AI, Aviso delivers strong results.

The core strengths of the Aviso AI Platform include:

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  AI-Guided Deal Forecasting

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  Pipeline & Deal Management

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  Relationship & Activity Intelligence

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  Conversational Intelligence

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  Coaching & Enablement

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  NLP Analytics & Reporting

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  Go-To-Market (GTM) Collaboration

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  Sales Engagement

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  Lead Intelligence

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  Customer Success Intelligence

Aviso’s platform pulls data from its own databases, your CRM, and external sources, then processes it through an AI/ML layer.

Users describe the UI as clean, simple, and easy to navigate.

Forecast accuracy is a standout. Reviewers mention the platform gives them more than a number, which is the whole point of buying a forecasting tool rather than building a spreadsheet.

Aviso integrates with Salesforce, Zoho CRM, Zoom, HubSpot, and plenty more.

Pricing

Aviso offers a free demo so you can make an informed decision before choosing between its two plans. Pricing is on request.

✅ Pros

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  Creates 360 profiles and scores that highlight interactions or risk in deals

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  Clear view of the entire pipeline

❌ Cons

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  Little flexibility for custom reports

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  Updates aren’t immediate

6. Salesforce Sales Cloud

G2 4.3/5 (19,622 reviews) | Capterra 4.4/5 (18,309 reviews)

Overview

Salesforce Sales Cloud has deep forecasting capabilities for predicting future performance and making informed decisions.

Key features include:

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  Customizable Forecasting Models

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  Collaborative Forecasting

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  Visibility and Transparency

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  Predictive Analytics

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  Integration with CRM Data

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  Mobile Accessibility

With Einstein Analytics handling the AI layer, Sales Cloud produces predictive analysis and intelligent recommendations.

Forecasting plugs directly into Salesforce CRM data, including opportunities, accounts, contacts, and activities. You get a complete view of the pipeline and forecasts that update with real-time data.

Getting those integrations running smoothly does require technical expertise.

Sales Cloud has a high learning curve thanks to the sheer volume of customization available, though users say implementation itself is manageable with the usage guides.

Pricing

Free trial and demo ✅

Salesforce offers five plans starting at €25 with the Starter Suite, though Predictive AI doesn’t appear until the Unlimited plan at €330.

Keep in mind that Salesforce charges extra for most add-ons, which pushes the real cost well above list.

✅ Pros

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  Detailed reporting

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  Easy to use and highly customizable

❌ Cons

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  Forecasting and AI are sold as separate add-ons

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  High learning curve

7. Zoho CRM

G2 4.1/5 (2,604 reviews) | Capterra 4.3/5 (6,690 reviews)

Overview

Zoho CRM has solid forecasting capabilities for predicting future sales performance.

Key features of Zoho CRM sales forecasting include:

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  Customizable Forecasting Models

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  Pipeline Visibility

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  Forecast Collaboration

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  Predictive Analytics

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  Forecast Reporting and Analysis

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  Integration with CRM Data

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  Mobile Accessibility

Detailed reporting is what drives accuracy here. The forecast is only as granular as the reports behind it.

Zoho has invested heavily in improving the UX.

Most users comment positively on how smoothly Zoho CRM’s integrations work with other tools.

Pricing

Free trial ✅

Zoho CRM offers four plans starting at €14, and sales forecasting is included in all of them.

✅ Pros

• •

  Customizable workflows

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  All apps integrate with each other

❌ Cons

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  Initial setup and customization can be tedious

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  Occasional glitches

8. Insightly

G2 4.2/5 (894 reviews) | Capterra 4.1/5 (645 reviews)

Overview

Insightly is a CRM platform with forecasting features for predicting future sales performance.

Among Insightly’s forecasting capabilities:

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  Pipeline Management

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  Forecasting Models

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  Data Analysis

• •

  Forecast Collaboration

• •

  Integration with CRM Data

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  Reporting and Analytics

• •

  Mobile Accessibility

Insightly gives you the framework and the tools, but accuracy comes down to data quality, user input, the method you choose, and external market conditions.

The platform is user-friendly and fully customizable.

With an AppConnect plan, you can integrate Insightly with a wide variety of apps.

Pricing

Free plan ✅

Insightly’s pricing splits across three plans and five tiers so you can match your needs, or combine all tiers into a near all-in-one package starting at $349.

✅ Pros

• •

  Modern, organized, and clean

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  Great report management

❌ Cons

• •

  Files can’t be deleted in bulk

• •

  Minor glitches in the system

9. NetSuite

G2 4/5 (3,119 reviews) | Capterra 4.1/5 (1,480 reviews)

Overview

NetSuite is a cloud-based ERP platform with built-in sales forecasting as part of its CRM and ERP suite.

Among NetSuite’s forecasting capabilities:

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  Customizable Forecasting Models

• •

  Integrated CRM and ERP Data

• •

  Demand Planning

• •

  Collaborative Forecasting

• •

  Advanced Analytics

• •

  Scenario Planning and “what-if” analysis

• •

  Mobile Accessibility

Users find NetSuite friendly to work in, though autosaving isn’t an option.

Some have said NetSuite’s forecasting isn’t the most accurate, largely because of inconsistencies in the underlying reporting.

Pricing

NetSuite doesn’t disclose its pricing plans at this time.

✅ Pros

• •

  Unified platform

• •

  Workflows are easy to set up

❌ Cons

• •

  Reported as expensive

• •

  Lacks a structured training process

10. Forecastio

G2 4.6/5 (21 reviews)

Overview

Forecastio is an AI-powered sales performance management tool built to improve forecasting for HubSpot users. It reads historical and real-time data to produce predictions and actionable insights for your sales strategy.

Key features:

• •

  Multi-Method Forecasting: uses several techniques including time-series analysis and pipeline stage forecasting

• •

  AI and Machine Learning: finds patterns and trends to improve forecast accuracy

• •

  Real-Time Analytics: up-to-date insights and dynamic reporting for timely decisions

• •

  HubSpot Integration: connects to HubSpot CRM for a single source of truth

Pricing

Forecastio’s Basic plan is $149/month and includes 2 users plus analysis for up to 1,000 deals. Additional users cost $29/month and extra deal analysis runs $29 per 1,000 deals. A Custom plan is available for larger teams with heavier data requirements.

✅ Pros

• •

  Accurate advanced forecasting methods

• •

  Real-time analytics with insights

• •

  Easy HubSpot integration

❌ Cons

• •

  HubSpot users only

If you’re on HubSpot and want better forecasting without replacing your CRM, Forecastio is a strong fit.

11. Workday Adaptive Planning

Named a Market Leader in the FeaturedCustomers Fall 2026 report.

Overview

Workday Adaptive Planning is a planning platform that finance and revenue teams use together. Its pitch for 2026 centers on AI-assisted forecasting, pipeline analytics, active dashboards, and unlimited shareable what-if scenarios.

That scenario modeling is the differentiator. Instead of producing one number, you model several versions of the quarter (hiring freeze, pricing change, a large deal slipping) and share them with finance in the same workspace.

Best for revenue teams whose forecast has to reconcile with a financial plan rather than live alone in the CRM.

Pricing

Workday doesn’t publish list pricing for Adaptive Planning. Expect a quote based on users and modules.

12. Gong

Named a Market Leader in the FeaturedCustomers Fall 2026 report.

Overview

Gong captures customer interactions across calls, emails, and meetings, then uses that activity to score deals and build a forecast on observed buyer behavior rather than on what reps typed into a stage field.

This is the strongest answer to the single biggest cause of forecast misses: rep optimism. If a deal has had no buyer-side activity in three weeks, Gong knows, and the forecast reflects it.

Best for teams with enough recorded conversation volume to feed the models. If your deals close over email with no calls, you’ll get less out of it.

Pricing

Gong doesn’t publish public pricing. Quotes are typically platform fee plus per-seat.

13. Outreach

Named a Market Leader in the FeaturedCustomers Fall 2026 report.

Overview

Outreach is a sales execution platform with forecasting and deal health scoring layered on top of its engagement data. Because the same system runs your sequences and your forecast, activity data reaches the roll-up without a separate sync.

Best for teams already running outbound inside Outreach that want forecasting without adding another vendor.

Pricing

Pricing is quote-based.

14. Xactly Forecasting

Awarded Top Performer honors in the FeaturedCustomers Fall 2026 report.

Overview

Xactly Forecasting sits inside Xactly’s revenue intelligence lineup and connects pipeline forecasting to quota and compensation data. The useful side effect: you can see how a forecast change hits commission spend before the quarter ends.

Best for sales operations and finance teams who own both the number and the comp plan.

Pricing

Pricing is quote-based.

Also named in the Fall 2026 rankings

A few more vendors earned recognition in FeaturedCustomers’ Fall 2026 report and belong on a serious shortlist depending on what you sell:

• •

  Blue Ridge (Market Leader): supply chain and demand planning, strongest for distribution and retail.

• •

  Jedox (Market Leader): enterprise planning and analytics with heavy Excel compatibility.

• •

  OneStream Software (Market Leader): corporate performance management for organizations consolidating finance and sales planning.

• •

  Planful (Market Leader): financial planning with sales and revenue modules.

• •

  InsightSquared (Top Performer): revenue intelligence and pipeline analytics.

• •

  Jirav (Top Performer): financial planning and forecasting aimed at smaller finance teams.

• •

  Limelight Software (Top Performer): planning and reporting that connects directly to ERP data.

• •

  Prophix Software (Top Performer): performance management and budgeting.

• •

  Quantrix (Top Performer): multidimensional modeling for complex scenario work.

Final thoughts

Pick your forecasting software based on where your number actually breaks. If reps sandbag, buy activity-based intelligence like Gong or Aviso. If finance and sales argue over two different numbers, buy a planning platform like Workday Adaptive Planning or Planful. If you just need a forecast that doesn’t live in a spreadsheet, your CRM probably already has one.

But fix the inputs first. A forecasting engine reading incomplete CRM records, unverified contacts, and accounts nobody has touched in a month will give you a confident, well-designed, wrong answer. Clean pipeline data is the cheapest accuracy upgrade available, and it’s the one most teams skip.

That’s the part lemlist handles: verified leads, intent signals that show you which accounts are in a buying window, and multichannel outreach syncing straight into HubSpot or Salesforce so your forecast reads reality instead of a guess.

Start a 14-day free trial and build the pipeline your forecast deserves.