I have sat through enough quarter-end forecast calls to know how a healthy-looking sales pipeline turns into a miss. The commit number is only as good as the close dates, stages and contact roles sitting behind it, and those go stale fast.
For this update, I reviewed 16 sales forecasting tools against the same five criteria: forecast accuracy features, CRM fit, data hygiene, ease of adoption, and pricing transparency. Where I could not test a product directly, I worked from the vendor's own documentation and pricing pages, checked in September 2026, and recurring themes in G2 and Gartner Peer Insights reviews. Every pricing line below is what the vendor publishes, not an estimate.
Here is what made the cut, and who each one is actually for.
How I built this list. This guide is published by Cirrus Insight, which is one of the 16 tools reviewed. I judged every tool, including ours, on the same five criteria, and I have kept the cons on our own entry. Nobody paid for placement.
Product facts, plan names, and prices were checked against each vendor's website in September 2026. Where a vendor does not publish a price, I say "custom" rather than guessing. Vendor accuracy claims are labelled as claims.
A sales forecasting tool is software that turns your sales pipeline, historical data, and rep activity into a revenue forecast you can commit to. Basic sales forecasting software applies a weighted probability to each deal stage. AI sales forecasting tools go further: they score every open deal on engagement signals, conversation data, and past win patterns, then roll the result up by rep, team, and region so a sales leader can see where the number is soft. Some vendors call the category revenue forecasting software; the job is the same: predict future sales from current sales data and past sales performance.
Most of the tools below support more than one sales forecasting method. Bottom-up forecasts roll rep submissions up the hierarchy, weighted pipeline forecasts multiply deal value by stage probability, and time series forecasting projects from historical data alone. The AI-powered forecasting in modern sales forecasting tools combines two or three of these methods and shows a range rather than a single number, which is more useful in a forecast call than false precision. The right forecasting method for you depends on your sales cycle length, how much historical sales data you hold, and how disciplined your sales forecasting process already is.
The 16 tools fall into five types, and I tag every entry with one:
The basics of sales forecasting have not changed: a forecast is only as good as the sales process feeding it. So I scored 16 different forecasting tools on the same five criteria.
|
Tool |
Best for |
Standout feature |
Starting price |
Website |
|
Cirrus Insight |
Keeping Salesforce forecast data accurate |
CRM AI one-tap opportunity updates |
Modular, per feature (see pricing page) |
|
|
Clari Forecast |
Enterprise forecast governance |
AI Forecast Agent |
Custom |
|
|
Gong Forecast |
Conversation-driven forecasts |
AI Revenue Predictor |
Custom (add-on) |
|
|
Terret |
Multi-dimensional RevOps forecasts |
Machine Learning Predictions |
Custom |
|
|
Aviso |
Explainable predictive deal scores |
WinScore Explanations |
Custom |
|
|
Salesforce Sales Cloud |
Built-in forecasting for Salesforce teams |
Einstein Forecasting prediction range |
From $25/user/month |
|
|
HubSpot Sales Hub |
HubSpot CRM teams |
AI projections with historical snapshots |
From $90/seat/month (forecasting) |
|
|
Outreach |
Forecasting from sales engagement data |
Scenario Planner |
Custom |
|
|
Weflow |
Salesforce submissions at published prices |
AI forecast prediction corridor |
From $39/user/month |
|
|
Forecastio |
HubSpot teams that outgrow native forecasting |
Forecast accuracy tracking |
From $249/month |
|
|
Anaplan |
Finance-connected enterprise planning |
PlanIQ machine-learning forecasting |
Custom |
|
|
Oliv AI |
Agent-prepared forecasts on smaller teams |
Forecaster agent |
Free tier; forecasting from $49/user/month |
|
|
Backstory |
Fixing the activity data behind the forecast |
Automatic activity capture |
Custom (usage-based) |
|
|
Mediafly Intelligence360 |
Analytics-first sales leaders |
Machine-learning Confidence to Close scores |
Custom |
|
|
Zoho CRM (Zia) |
Zoho ecosystem teams |
Anomaly Detector |
Published per user; confirm USD |
|
|
Pipedrive |
Small teams that want a visual pipeline |
Revenue forecast report |
From $14/seat/month ($39 with forecasting) |
Starting prices are the lowest published tier as of September 2026; "custom" means the vendor does not publish pricing.
Category: Forecasting layer for Salesforce
Pros:
Cons:
Cirrus Insight is our own product, so read this entry with that in mind. It is an AI-powered Revenue Workspace built for Salesforce that helps reps prepare before meetings, get coached during them, and automate CRM updates after them. It is not a forecast roll-up engine like Clari Forecast or Gong Forecast. It solves the problem that sits underneath most forecast misses: the Salesforce data the forecast is built on is out of date.
Every forecasting method on this list, from weighted pipeline to AI deal scoring, reads close dates, stages, amounts, and contact roles from the CRM. Cirrus Insight keeps those fields current from inside the rep's inbox and calendar, so Salesforce Sales Cloud forecasting, or any of the revenue intelligence platforms below, works from live deal data instead of last month's.
CRM AI (sold on the pricing page as CRM Updates) runs as a background assistant that queues up opportunity hygiene, including close amount, projected close date, key tasks, and contact roles, for one-tap updates in Salesforce. Reps approve rather than retype. Conversation Intelligence transcribes every call in real time, produces a summary with key takeaways and suggested next steps, and pushes those updates to the CRM. Meeting AI handles prep and follow-up around each meeting, and Buyer Signals tracks email opens, link clicks, and replies in Salesforce and the inbox, which gives a manager an engagement read on each deal before the forecast call.
What Cirrus Insight does not do is produce its own AI forecast number, run scenario models, or roll submissions up a hierarchy. For that, you pair it with the forecasting built into Salesforce Sales Cloud, or with a dedicated forecasting platform such as Weflow or Clari Forecast. If your sales team already lives in Salesforce and the forecast keeps missing because the pipeline is stale, that pairing is the cheapest fix on this list.
Cirrus Insight pricing: Modular and published per feature. You pick only the features you need, and every per-user price and discount is listed on the pricing configurator.
Category: Revenue intelligence platform
Pros:
Cons:
Clari Forecast is the forecasting and revenue intelligence product most enterprise sales leaders mean when they say "forecasting tool", and it is now sold by Salesloft. Clari and Salesloft completed their merger in December 2025 and unified under the Salesloft brand on 2 September 2026. Clari Forecast kept its name inside what Salesloft calls its Predictive Revenue System, alongside Cadence, Conversation Intelligence, Deals, Inspect, Revenue Cadences and Rhythm. The old clari.com product pages now redirect to salesloft.com.
The product itself is built for forecast governance at scale: a weekly cadence where every rep submits, every manager adjusts, and the CRO sees one number with the history behind it. AI-validated forecasting checks the human roll-up against the model, AI-scored opportunities flag deals whose activity does not match their stage, and commit tracking and trending show how the number moved week to week. Pipeline coverage analysis tells you whether there is enough sales pipeline to hit target in this quarter and the next, and the AI Forecast Agent surfaces next best actions on the deals dragging the forecast down.
Where Gong Forecast leans on call data, and Terret leans on a flexible data model, Clari Forecast leans on process discipline, and that is why large B2B sales organizations standardize on it. Terret and Aviso are the two closest alternatives for a RevOps team that wants the same governance with a different pricing conversation.
The trade-off is cost and weight. Pricing is quote-only, implementation is an enterprise project, and reviewers on Capterra and Gartner Peer Insights mention premium pricing, analytics that can be hard to follow, and heavy work still happening in Salesforce. If that sounds like more than you need, my Clari alternatives guide walks through lighter options.
Clari Forecast pricing: Custom (quote-based). No free trial.
Category: Revenue intelligence platform
Pros:
Cons:
Gong Forecast ties what buyers actually said on calls to the forecast number. Because Gong already records and transcribes the conversations, the AI Revenue Predictor can score each deal from those sales calls on buyer sentiment, next-step language and engagement patterns rather than on stage alone. Gong's own claim is that the predictor uses 300-plus signals and delivers 20% more precision than algorithms built on CRM data only; treat that as a vendor claim.
The working surfaces are Deal Boards and Account Boards, where a manager sees the forecast category, the deal drivers, and the underlying calls side by side, plus Forecast Analytics and Metrics and Target Management for the roll-up. AI Deal Reviewer and AI Deal Monitor do the between-call work: they review open deals against your criteria and alert you when a deal goes quiet. Gong sells two tiers, Gong Forecast Essentials and Gong Forecast.
The catch is that you cannot buy Forecast on its own. Gong's help documentation states your organization needs a Gong Professional or Enterprise plan before it can buy Forecast seats, and that Forecast currently works with Salesforce and HubSpot CRMs only. Pricing is per user with a platform fee based on user count, and neither figure is published. G2 reviewers praise the coaching value and note the learning curve of the wider platform and occasional transcription inconsistency.
If you want conversation data feeding the forecast without the full Gong stack, Cirrus Insight's Conversation Intelligence paired with Salesforce Sales Cloud forecasting is the lighter route, and Terret ingests Gong and Chorus call data as an input. For a comparison of the two big conversation platforms, see Gong vs Chorus.
Gong Forecast pricing: Custom. Per-user licences plus a platform fee; requires a Gong Professional or Enterprise plan. No free trial.
Category: Revenue intelligence platform
Pros:
Cons:
If you last looked at this tool as BoostUp, the name has changed. BoostUp rebranded to Terret on 9 September 2025 and launched a set of AI revenue agents at the same time; the forecasting product is now Terret Forecast, and the login still runs through app.boostup.ai. The underlying strength is unchanged: a flexible data model that lets RevOps forecast by geography, product, segment, or any custom dimension without a services engagement.
Machine Learning Predictions produce the model's number for each roll-up, and a Self-Learning Loop retrains it on what actually closed. AI Forecast Pulse summarizes movement since the last call, Board-Ready Narratives turn that into the paragraph you paste into the board deck, and Deal-Level Intelligence, Health Scoring and Risk Identification explain which opportunities are behind the change.
Integrations cover Salesforce and HubSpot for the CRM, Gong and Chorus for calls, Gmail and Outlook for email, and Outreach and Apollo for engagement, which is why Terret sits comfortably next to Gong Forecast rather than replacing it. Terret offers a 48-hour proof of concept instead of a self-serve trial.
Reviewers on G2 like adoption among account executives but flag Salesforce sync lag, hierarchy-level forecasting gaps, and limited reporting flexibility, including no multi-currency in some setups. Aviso is the closest alternative if explainable deal scores matter more than data-model flexibility; Clari Forecast is the alternative if process governance matters more than either.
Terret pricing: Custom (quote-based). 48-hour proof of concept available on request.
Category: Revenue intelligence platform
Pros:
Cons:
Aviso is the predictive sales forecasting solution that puts the most effort into explaining its scores. WinScore Explanations list the factors pushing a deal up or down, so a manager can argue with the model instead of just overriding it. MIKI, Aviso's AI assistant, sits on top for "ask anything" questions about a deal, an account, or a region.
The forecasting core does what Clari Forecast and Terret do: automatic forecast roll-ups by rep, category, and team; pacing analysis against target for sales performance management; at-risk deal detection; and deal pull-in identification for the quarter-end scramble. What sets Aviso apart on this list is consumption forecasting for usage-based pricing models, which most sales forecasting software still does not handle natively. CRM support covers Salesforce with bidirectional sync, HubSpot through Aviso's HubSpot Marketplace app, and Microsoft Dynamics 365, including multiple CRM instances.
Aviso markets 98% forecast accuracy, drawn from a New Relic case study, and its Dynamics page says 98%-plus. Those are vendor claims; your number will depend on the quality of your historical data and how consistently reps use the tool.
The recurring complaints on G2 are performance (slow page loads under large data volumes), Salesforce sync delays, and a cluttered interface with a learning curve. Pricing is described as flexible per-user plans with a tailored proposal, so budget for a sales conversation before you can compare it to Weflow or Forecastio, which publish their prices.
Aviso pricing: Custom. Flexible per-user plans, quote-based. No free trial listed.
Category: CRM-native forecasting
Pros:
Cons:
If your CRM is Salesforce, the first sales forecasting tool to evaluate is the one you already pay for. Salesforce Sales Cloud ships Advanced Forecast and Pipeline Management on every edition: forecast types, forecast categories (pipeline, best case, commit), a forecast hierarchy that rolls up from rep to executive, and manager adjustments with commentary. Einstein Forecasting adds the predictive layer.
Einstein Forecasting adds a prediction column to the forecast page with a median predicted amount and a prediction range, splits expected wins into existing versus new deals, charts the prediction week by week, and lists the top contributing factors behind each number so a manager can pressure-test it. Salesforce lists Predictive Forecasting as available for purchase on the Core edition, with AI add-ons available on Core and above; the add-on price is not published.
One thing that trips people up in September 2026: On 3 September 2026, Salesforce replaced the Enterprise, Unlimited and Agentforce 1 editions with Core, Advanced and Max; Starter Suite and Pro Suite continue below them. Any guide that still quotes "Enterprise $165" is out of date. For the AI conversation layer that feeds Einstein, see my write-up on Salesforce Einstein Conversation Insights, and for adoption context, Salesforce statistics.
The limitation is the one Salesforce's own documentation implies: Einstein's AI-driven forecasting predicts from your historical data, so a young org or a messy one gets a weak model. That is exactly where Cirrus Insight and Weflow earn their place, because they keep the opportunity data Einstein learns from current. G2 reviewers add the usual notes on learning curve and the number of features sold as add-ons.
Salesforce Sales Cloud pricing: Starter Suite $25, Pro Suite $100, Core $195, Advanced $395 and Max $550 per user per month, billed annually (Starter Suite also monthly). Predictive Forecasting add-on: custom. Free trial on Starter Suite through Advanced.
Category: CRM-native forecasting
Pros:
Cons:
HubSpot Sales Hub is the CRM and sales automation platform most mid-market teams reach for when Salesforce feels heavy, and its forecast tool is good enough that many of them never buy a separate forecasting platform. Forecast submissions, custom forecast categories, weighted pipeline, team roll-up views, and multi-pipeline forecasting all live in the same interface reps use for deals, so there is no connector to maintain.
Two features matter most for forecast accuracy. Historical snapshots let you compare this week's forecast against earlier weeks to see who sandbagged and who over-committed. AI projections, powered by Breeze, produce a forecast range with a most-likely value; HubSpot's documentation is candid that projections are estimates built from the previous three months of closed-won data and should not be relied on alone. Enterprise adds forecasting across team hierarchies.
Pricing is public. The free CRM covers two users with pipeline visibility but not the forecast tool, which starts on Professional. Reviewers on G2 note that the most useful features sit in the higher tiers and that per-seat cost climbs quickly.
When a HubSpot team outgrows native forecasting, usually when they want time series forecasting, multiple forecasting methods side by side, or accuracy tracking, Forecastio is the purpose-built next step and stays inside HubSpot. Oliv AI also supports HubSpot if the goal is an agent that drafts the forecast for you.
HubSpot Sales Hub pricing: Free (up to 2 users); Starter from $7 per seat per month billed annually ($20 monthly); Professional from $90 per seat per month billed annually ($100 monthly) plus $1,500 one-time onboarding; Enterprise from $150 per seat per month plus $3,500 one-time onboarding. Forecast tool on Professional and Enterprise.
Category: Revenue intelligence platform
Pros:
Cons:
Outreach started as a sales engagement platform and built forecasting on top of the activity data it already captures: sequences, emails, calls, and meetings. That is the pitch. The forecast is informed by what reps actually did with each deal, not only by what they typed into the CRM. Outreach moved its site to outreach.ai in April 2026 alongside the launch of its Omni agent; the forecasting product was previously marketed as Outreach Commit.
The forecasting feature page lists AI Projection (the model's number), Automated Forecast Rollup, Scenario Planner for best and worst cases, Parallel Forecasting for running two forecast processes side by side, Forecast Submission History for auditing changes, Intraquarter Modeling, Line Item Forecasting for product-level numbers and multi-currency support. Outreach says its customers close over 2 million opportunities a month through the platform.
The constraints are the same ones that apply to Gong Forecast: you buy this because you already run the platform. Forecasting features (AI Forecast Projection, scenario planning, roll-ups) appear only on the Amplify Pro plan, prices are not published, and support documentation lists Salesforce and Microsoft Dynamics 365 as the supported CRMs. G2 reviewers mention CRM sync lag, a dense interface and limited reporting customization.
If you are weighing Outreach against the merged Salesloft and Clari stack, that decision now includes forecasting on both sides; my Salesloft alternatives guide covers the trade-offs.
Outreach pricing: Custom (quote-based), per user with no platform fee per the vendor. Forecasting is included in the Amplify Pro plan only.
Category: Forecasting layer for Salesforce
Pros:
Cons:
Weflow is the tool I recommend to Salesforce teams that want a real forecast submission process without a Clari-sized contract. It is a Berlin-built revenue platform that runs on a real-time, two-way Salesforce integration and writes its data to native Salesforce objects, so nothing is lost if you leave.
The Deal Intelligence and Forecasting module covers forecast submissions deal by deal, automated forecast roll-ups from rep to org, and AI forecast prediction that produces a corridor from historical opportunity snapshots and deal signals. Every opportunity gets an AI deal score and account score from 0 to 100 with configurable deal warnings, and pipeline analytics ships with 30-plus pre-built metrics such as waterfall and pacing. Weflow describes its approach as combining bottom-up, weighted, and AI methods rather than picking one.
The commercial model is the differentiator. Prices are on the website; there is a 14-day free trial and a guided free pilot, and there is no platform fee. The catch is that the features you most want for forecasting- AI forecast prediction, automated roll-ups, and configurable forecast settings- sit in the Enterprise bundle at $79 per user, and there is a 10-seat minimum. G2 themes include AI summaries that occasionally mix context, app stability, and daily Salesforce re-authentication.
Weflow and Cirrus Insight are both Salesforce layers, but they solve different halves of the problem: Cirrus Insight fixes the inputs from the rep's inbox and calls; Weflow runs the submission and roll-up process on top of them. Teams that need both usually run them together.
Weflow pricing: Deal Intelligence and Forecasting $39 per user per month standalone; Revenue AI Foundation $49, Business $59, Enterprise $79 per user per month. Billed annually, 10-seat minimum, no platform fee. 14-day free trial.
Category: Forecasting layer for HubSpot
Pros:
Cons:
Forecastio does one thing: sales forecasting for HubSpot, and does it with more forecasting methods than HubSpot Sales Hub itself offers. Machine-learning AI sales forecasting, time series forecasting from historical data, weighted pipeline forecasting, and forecast categories with rep submissions all run on the same HubSpot data, and you can compare them against each other to see which method has been closest for your team.
That comparison is the standout feature. Forecast accuracy tracking stores forecast snapshots, shows how each method performed against actuals, and keeps a forecast audit trail of who changed what. What-if scenarios let you model a pushed deal or a lost rep. Forecastio has also added AI agents, including a Forecast Accuracy Agent, a Forecast Review Agent, and a Deal Review Agent, that prepare the analysis before the forecast call.
Pricing is flat and public, which is rare in this category: Sales Forecasting at $249 per month including two seats, and Forecasting and Pipeline Intelligence at $369 per month including two seats, each with per-seat add-ons. Billing is annual only. The vendor's blog mentions a free trial but does not publish the length.
There is no Salesforce support, so Salesforce teams should look at Weflow instead, and G2 has only a handful of reviews, which mention customization limits and a learning curve. If you are a HubSpot team that has hit the ceiling of Sales Hub Professional forecasting, this is the natural next step before considering an enterprise platform such as Clari Forecast.
Forecastio pricing: Sales Forecasting $249 per month (2 seats included, $49 per additional seat); Forecasting and Pipeline Intelligence $369 per month (2 seats included, $69 per additional seat). Billed annually. Free trial mentioned by the vendor; length not published.
Category: Enterprise planning platform
Pros:
Cons:
Anaplan is the tool on this list that finance, not sales, usually buys. It is a connected planning platform, owned by Thoma Bravo since June 2022, and its Sales Forecasting application sits next to sales planning, demand, supply chain, and workforce planning in the same model, which connects sales and revenue planning to everything else the business plans. That is the point: when the sales forecast changes, headcount and budget plans change with it.
The sales forecasting use case delivers real-time sales forecasts and predictive insights, scenario planning with best, probable, and worst cases, proactive risk modeling, pipeline visibility, and account planning, all rolled into a single forecast across every go-to-market team. PlanIQ, Anaplan's machine-learning forecasting engine, runs DeepAR+ and Prophet algorithms on your historical data. Anaplan Intelligence added role-based AI analysts, including a Sales Analyst agent, in March 2026, and CoModeler and Agent Studio in June 2026. Anaplan says more than 2,600 global brands plan on the platform, and its Data Orchestrator includes a native Salesforce connector.
None of that makes it a rep-facing forecasting tool. There is no self-serve deployment, implementation runs through partners, pricing is not published, and G2 reviewers consistently mention licensing cost, the complexity of building and maintaining models, and performance with very large models.
The way to think about it: Clari Forecast, Aviso, or Terret produce the sales-side number; Anaplan is where the CFO consumes it. If your forecasting decisions drive hiring and budget, Anaplan belongs on the shortlist. If they do not, it does not.
Anaplan pricing: Custom (quote-based). No free trial listed.
Category: Forecasting layer for Salesforce, HubSpot, and Zoho
Pros:
Cons:
Oliv takes a different angle from every other sales forecasting tool here: instead of a better dashboard, it runs agents on top of your CRM so the forecast is prepared for you. The Forecaster agent drafts the forecast, collects rep submissions, rolls them up by team, saves forecast snapshots, pressure-tests the number and flags deal slippage, on weekly, monthly or quarterly cadences. The manager reviews a forecast instead of building one.
The companion CRM Manager agent writes deal fields to the CRM after every activity, maps your org and, in Oliv's words, always shows its work, which addresses the same data-hygiene problem Cirrus Insight solves for Salesforce teams. Oliv supports Salesforce, HubSpot and Zoho, which makes it one of the few options on this list for a Zoho team that wants more than Zia.
Pricing is per user and published: a free Amplify tier, Converse at $19, Sell at $49 (the tier with the forecast app, revenue forecast boards, forecast submissions and weekly pipeline snapshots) and Grow at $79, plus add-ons and usage-based Agent Actions credits at one cent each. There is a sandbox rather than a formal trial.
Be realistic about accuracy. Oliv itself says AI-assisted forecasts land around 75 to 80% and reach 80 to 85% within 12 to 16 weeks, which is more honest than most vendors but a reminder that an agent needs time and clean data. G2 has around ten reviews, mentioning occasional glitches and limited dashboard customization. For a Salesforce-only team with a bigger budget, Weflow is the more mature submission workflow.
Oliv AI pricing: Amplify $0; Converse $19; Sell $49 (forecasting); Grow $79 per user per month. Add-ons: Engage $29, Enable $29 per user; Agent Actions $0.01 per credit. Sandbox available.
Category: Revenue intelligence platform
Pros:
Cons:
People.ai became Backstory on 21 April 2026, and the company describes it as the same product on the same data infrastructure. What it does has not changed either: it captures every email, meeting and call automatically, maps that activity to the right account and opportunity, and uses the result to score engagement and explain risk.
For forecasting, the Revenue Decisions and Pipeline Health and Deal Risk solutions add Forecasting, Waterfall Charts that show how the number moved, Risk Headlines and Trending Risks that surface the deals behind the movement, and Deal Summaries a manager can read before the call. Backstory works inside Salesforce, Microsoft Dynamics and Oracle, and the rebrand release says its answers are available through Slack, Microsoft Copilot, ChatGPT and Claude.
The reason it earns a place on a sales forecasting list is the input problem. If your forecast is wrong because activity never made it into the CRM, a forecasting platform will faithfully model bad data. Backstory fixes the capture layer at enterprise scale; Cirrus Insight does the equivalent for Salesforce teams at the rep and inbox level.
The trade-offs: pricing is usage-based (you pay for the people whose customer activity powers the platform and the answers consumed, with free viewer seats) and quote-only; G2 reviewers note that accuracy depends on underlying CRM hygiene and that setup needs a clear implementation plan. Most buyers layer it under Clari Forecast or Salesforce rather than using it as the primary forecast tool.
Backstory pricing: Custom, usage-based (charged on active users and answers consumed; viewer seats free). No free trial listed.
Category: Revenue analytics suite
Pros:
Cons:
InsightSquared was the sales analytics tool sales leaders bought when native CRM reporting ran out. Mediafly acquired it in January 2022 and renamed it Intelligence360 inside its Revenue360 suite later that year. The forecasting page still lives on insightsquared.com with an acquisition banner, which tells you something about the product's current priority.
The forecasting capabilities are solid: forecast submission automation, an AI-powered weighted pipeline, forecast roll-ups sliced by region, line of business, product or quarter, change tracking with override history, and machine-learning Confidence to Close scores on each opportunity. If your pain is reporting depth rather than a broken submission process, it covers ground Clari Forecast charges more for.
The concern is the vendor. Mediafly's homepage now leads with sales enablement and does not mention Intelligence360, and G2's listing has folded into a general Mediafly page with reviews that mention a learning curve and slow loading. Salesforce is the only CRM referenced on the forecasting page, and pricing is by quote.
Confirm the product is still sold standalone before you shortlist it. If it is not, a sales forecasting software such as Terret or Aviso covers the same analytics ground with an active roadmap.
Mediafly Intelligence360 pricing: Custom (quote-based). No free trial listed.
Category: CRM-native forecasting
Pros:
Cons:
Zoho CRM is the value pick for teams already in the Zoho ecosystem, and Zia is its built-in analyst. Zia's AI forecasting suggests sales targets from past performance and shows predicted achievement against them as the period runs; Zia Scores rank open deals, and Field Prediction lets you build a custom prediction such as deal win or loss on your own fields.
The Anomaly Detector is the feature I would use most: it flags when sales data deviates from trend, which is the earliest warning that a forecast is about to slip. Churn Prediction and trend analysis round it out. These features are edition-gated: sales forecasting starts on Professional, Field Prediction and Zia Scores on Professional and above, and Anomaly Detector and Churn Prediction on Enterprise and Ultimate, with churn predictions capped per org.
Zoho publishes per-user pricing for its Standard, Professional, Enterprise and Ultimate editions, billed annually, and the CRM Plus bundle comes with a 30-day free trial with no card required. Reviewers on G2 rate the value well but describe the AI as limited compared with dedicated platforms and the interface as cluttered.
If a Zoho team needs a forecast process with submissions and roll-ups, Oliv AI supports Zoho and is the only other tool on this list that does. For everyone else, Pipedrive is the closest comparison on price and simplicity.
Zoho CRM pricing: Published per-user pricing for Standard, Professional, Enterprise and Ultimate editions (billed annually); forecasting from Professional. Zoho CRM Plus bundle: 30-day free trial.
Category: CRM-native forecasting
Pros:
Cons:
Pipedrive keeps forecasting simple enough that sales reps actually update it, which for a ten-person sales team is worth more than any predictive model. The Insights revenue forecast report shows open deals by expected close date and won deals by won time, using deal value or weighted value, with a cumulative view for the period. The Forecast view sits next to the kanban pipeline, and the AI-powered report builder and Sales Assistant (beta) add suggestions on which deals to work.
Pipedrive renamed its plans in 2025: Lite, Growth, Premium and Ultimate replace Essential, Advanced, Professional, Power and Enterprise. The revenue forecast report is available on Growth and higher, so the $14 Lite plan gives you a pipeline but not a forecast. AI email tools are Premium and Ultimate only.
What you do not get is any of the signal depth of the revenue intelligence platforms above. There is no call recording or conversation analysis, so the forecast reflects stage, value and activity, and G2 reviewers note that reporting customization feels restrictive until you upgrade.
For a small team that will outgrow it, the upgrade path is HubSpot Sales Hub or Salesforce Sales Cloud, CRM tools that carry their forecasting with them. For a small team that will not, Pipedrive at $39 per seat on Growth is the cheapest working sales forecast on this list.
Pipedrive pricing: Lite $14, Growth $39, Premium $59, Ultimate $79 per seat per month, billed annually. Revenue forecast report from Growth. 14-day free trial, no credit card required.
These are not sales forecasting tools, but they improve the inputs the tools above depend on, and two of them appeared in the previous version of this list.
The right tool depends on where the forecast breaks, not on the longest feature list. Forecasting tools help sales teams only when reps use them, so weigh adoption as heavily as the model.
Whatever you shortlist, run one full sales cycle before judging the AI. Every vendor on this list, from Salesforce to Oliv, says the model needs historical data before its predictions are worth committing to.
There is no single best sales forecasting tool, only the right sales forecasting software for your CRM, your team size and the part of the forecast that keeps breaking. Enterprise B2B sales teams with a RevOps function get the most from tools like Clari Forecast, Aviso or Terret, and that is where the right sales forecasting software for 2026 stops being a spreadsheet upgrade and becomes part of sales strategy. HubSpot teams have a clear path from Sales Hub to Forecastio. Small teams should start with the forecasting already inside Pipedrive or Zoho CRM. And every Salesforce team chasing revenue and sales targets should ask whether the problem is the forecasting model or the data feeding it.
If it is the data, that is what Cirrus Insight is built for. CRM AI keeps close amounts, projected close dates, key tasks, and contact roles current with one-tap Salesforce updates, Meeting AI handles prep and follow-up; and Conversation Intelligence turns every call into a summary and next steps that land in the CRM. Your forecast, whether it runs in Salesforce Sales Cloud or in one of the platforms above, gets better inputs without your reps typing more.
Book a 30-minute demo to see how Cirrus Insight keeps your Salesforce pipeline forecast-ready.
AI sales forecasting uses machine learning to forecast future sales, deal outcomes, and pipeline performance from CRM data, historical deal patterns, and engagement signals such as emails, meetings, and calls. Instead of applying a fixed probability to each stage, the model learns which deals actually close and scores open deals against that pattern, then updates the forecast as the data changes.
Three ways. It scores deals on behavior (buyer engagement, activity gaps, conversation sentiment) rather than on the stage a rep picked; it learns from historical data so the model improves each quarter; and it flags the deals whose signals do not match their forecast category before the sales revenue number is committed. None of that helps if the CRM inputs are stale, which is why data hygiene is one of my five evaluation criteria.
It depends on where your data lives. For enterprise revenue teams, Clari Forecast (now sold by Salesloft), Aviso, and Terret lead on predictive forecasting. Gong Forecast is the pick when call data should drive the forecast. Salesforce Einstein Forecasting and HubSpot Sales Hub AI projections cover CRM-native teams; Weflow and Forecastio add AI prediction to Salesforce and HubSpot respectively, and Oliv AI prepares the forecast with agents. Cirrus Insight keeps the Salesforce data those models learn from accurate.
Cirrus Insight improves forecast accuracy by keeping the Salesforce data behind the forecast current. CRM AI queues close amount, projected close date, key tasks, and contact roles for one-tap updates; Conversation Intelligence turns every call into a summary and next steps synced to Salesforce; Meeting AI handles prep and follow-up; and Buyer Signals shows email opens, clicks, and replies on each deal. The forecast itself runs in Salesforce Sales Cloud or a dedicated forecasting platform.
CRM forecasting (Salesforce Sales Cloud, HubSpot Sales Hub, Zoho CRM, Pipedrive) rolls up what reps enter: stage, amount, close date, and forecast category. A dedicated sales forecasting tool such as Clari Forecast, Gong Forecast, Aviso, or Terret adds signals the CRM does not hold, including conversation data, engagement patterns, and forecast change history, and produces an AI prediction alongside the human roll-up. Most teams start with CRM forecasting and add dedicated forecasting software when the number stops being trusted.
Yes, but check the list carefully. Salesforce is supported by every dedicated tool here except Forecastio, which is HubSpot-only. HubSpot is supported by Gong Forecast, Terret, Forecastio, Oliv AI, Aviso and Clari Forecast, but not by Weflow or Outreach according to their documentation. Microsoft Dynamics 365 is supported by Aviso, Outreach and Backstory. Cirrus Insight is built for Salesforce and works inside Gmail and Outlook.
Software and tools in this category range from free CRM tiers to six-figure enterprise contracts. Published entry points on this list run from $14 per seat per month (Pipedrive Lite, without the forecast report) and $39 per user per month (Weflow standalone forecasting, Pipedrive Growth) to $249 per month flat (Forecastio). CRM-native forecasting starts at $90 per seat on HubSpot Sales Hub Professional and $25 per user on Salesforce Starter Suite, with Predictive Forecasting as a Core add-on. Clari Forecast, Gong Forecast, Aviso, Terret, Outreach, Anaplan, Backstory and Mediafly Intelligence360 are quote-based, and Gong and Outreach require their wider platforms.