Every CRM already shows a forecast number, and almost nobody believes it.
This guide ranks the products that sit on top of the pipeline and score deals on behaviour and history rather than on what a rep typed into a close-date field, and it is honest about the limit: a forecast is a management process.
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In short
What sales forecasting software does
Sales forecasting software predicts closed revenue for a period by scoring open deals against past outcomes and buyer behaviour, then tracking how each call changed the number.
In this order: setup effort, what it really costs, how your data comes back out, whether
you can leave, and who each sales forecasting tool is built for. Why those five, and why there is no
score out of ten, is on the how we work page.
Sales operations teams wanting standard pipeline reports out of the box
Buyers who want a focused, independently developed forecasting tool
Country is where the vendor is headquartered or contracts from, which is a
different question from where your data is hosted. Where the two tell different stories, the
entry says so.
Pipeline hygiene and forecasting layered onto an existing Salesforce org
Ranked #1 of 14 in Best Sales Forecasting Software in 2026.
Published pricingEurope
Weflow treats the forecast as a data hygiene problem, which is usually the correct diagnosis. Emails and meetings are synced into Salesforce, reps update deals in a spreadsheet-speed grid instead of the Salesforce UI, missing fields are chased automatically, and managers get a rollup they can submit.
Because the price is published per user, with a 10-user minimum and annual billing, you can size it without a sales call. The boundaries are clear: it is Salesforce-only, call recording is a separate product, and the AI forecast prediction comes only with the top bundle.
What stands out
Pipeline hygiene
Published pricing
EU vendor
Where it costs you
Salesforce only, with no HubSpot or Dynamics option
AI forecast prediction only in the top Enterprise bundle
Right for
Mid-market Salesforce teams whose forecast fails on stale data
Wrong for
Enterprises wanting a predictive model over many data sources
GermanyPer user per month, published; billed annually with a 10-user minimum
British forecasting platform built for the weekly pipeline review
Ranked #2 of 14 in Best Sales Forecasting Software in 2026.
Pricing on requestEurope
Kluster is arranged around the pipeline meeting: what changed since last week, which deals moved out, what has to happen for the quarter to land, and scenario boards for arguing about it. Managers can inspect deals without an analyst preparing anything.
Setup is done with Kluster's own data and forecasting experts rather than as a self-serve trial, and the vendor claims a first deployment within 24 hours. It is a smaller company than Clari, and its published case studies mix British firms such as Cognism with DeepL, Gainsight and ExtraHop.
What stands out
Scenario planning
Deal inspection
UK vendor
Where it costs you
Quoted pricing, with setup run by the vendor's own team
Shorter integration list than the American platforms
Right for
Sales leaders who want to run the weekly review inside the tool
Wrong for
Teams needing wide integrations beyond CRM and calendar
Relationship-strength scoring that grades deals on real contact activity
Ranked #3 of 14 in Best Sales Forecasting Software in 2026.
Pricing on requestEurope
The premise is that deal health is measurable from contact behaviour: how many people in the buying group are engaged, how recently, and how that compares with deals that closed. That catches the deal a rep swears is committed and nobody has emailed for a fortnight.
It works with Salesforce and HubSpot, which is rarer here than it should be. The forecasting screens are competent rather than deep, and the scores mean little until the system has ingested a few quarters of history.
What stands out
Relationship scoring
Salesforce and HubSpot
UK vendor
Where it costs you
Forecasting is newer than the relationship scoring underneath it
Scores need several quarters of history to settle
Right for
Teams whose deals die from single-threading and quiet stakeholders
Wrong for
Short transactional cycles with little email or meeting trail
Sales forecasting and pipeline analysis built only for HubSpot
Ranked #4 of 14 in Best Sales Forecasting Software in 2026.
Published pricingNorth America
Forecastio exists because most of this category assumes Salesforce. It reads HubSpot deals and their history and produces model-based forecasts, weighted pipeline, scenario planning and, on the dearer plan, at-risk deal flags, at a price on the website with seats added individually.
Setup is quick because there is only one CRM to map. The risks are those of a small vendor: a short list of references, no conversation data in the model, and a product that becomes irrelevant the day you leave HubSpot.
What stands out
HubSpot only
Published price
Small vendor
Where it costs you
Works only with HubSpot, so a CRM change means a forecasting change
Small vendor with a short track record and few references
Right for
HubSpot sales teams wanting forecasts and pipeline inspection without an enterprise contract
Wrong for
Salesforce organisations or enterprises needing conversation signals in the model
United StatesPer month with two seats included, published; extra seats per month; billed annually; one-month pilot before paying
Forecast scoring plus a reporting layer you can rebuild yourself
Ranked #5 of 14 in Best Sales Forecasting Software in 2026.
Pricing on requestNorth America
BoostUp, now renamed Terret, lets you define the revenue metrics rather than accept the vendor's. If your business splits by product line, region and motion in a way no template covers, that is the difference between reports you trust and reports you argue with.
Scoring blends CRM fields, activity and conversation data. The cost is real setup effort: weeks of mapping before the numbers agree with finance, quoted pricing, and an interface that expects an owner rather than a casual user.
What stands out
Custom metrics
Conversation signals
RevOps tool
Where it costs you
Configuration takes weeks of data mapping
Assumes a dedicated RevOps owner after go-live
Right for
RevOps teams that need metrics defined their own way
Wrong for
Small teams without an operations person to own it
Activity capture and guided selling with forecasting on top
Ranked #6 of 14 in Best Sales Forecasting Software in 2026.
Published pricingNorth America
The activity capture underneath is the reason to look: emails, meetings and contacts land in Salesforce reliably, which fixes the input problem before anyone models anything. Signals then nudge reps while a deal is live rather than in a post-mortem.
Forecasting sits on top and is adequate without being the reason anyone buys. Expect to pay for the top published tier to get it, a Salesforce-shaped world view, and a configuration phase longer than the demo suggests because there are more modules than you need.
What stands out
Activity capture
Guided selling
Salesforce focus
Where it costs you
Forecasting is one module among several, and only in the top tier
Module breadth stretches the first configuration
Right for
Salesforce teams whose activity data never reaches the CRM
Wrong for
Buyers wanting a focused forecasting product only
United StatesPer user per month, published; forecasting only in the top Ultimate tier
Network-based deal scoring drawn from anonymised buying patterns
Ranked #7 of 14 in Best Sales Forecasting Software in 2026.
Published pricingNorth America
Collective[i] answers the cold-start problem honestly: instead of learning only from your closed deals, it scores against patterns in a large pooled set of anonymised transactions. For a company closing a few dozen deals a year, that is the difference between a model and a coin flip.
The condition is that your activity data joins the pool, which is a governance conversation before it is a procurement one. The application layer around the model is plainer than what Clari or Terret ship.
What stands out
Pooled data model
Published manager price
Automatic capture
Where it costs you
Your activity data contributes to the shared pool
Reporting and interface trail the specialist platforms
Right for
Companies with too few closed deals to train their own model
Wrong for
Organisations that cannot share activity data outside their walls
United StatesC[i] for Sales per manager per month, published, billed annually; enterprise packages quoted
Forecast prediction with an AI assistant over the pipeline
Ranked #8 of 14 in Best Sales Forecasting Software in 2026.
Pricing on requestNorth America
Aviso has been predicting quarter-end for longer than most of this list and the core output is a defended number rather than a prettier rollup, which is exactly what a chief revenue officer needs in a board meeting.
Multiple forecast views can run side by side. It is an enterprise purchase with enterprise onboarding, the model is only as good as the history you hand it, and a good deal of recent marketing sits on assistant features that are not why anyone renews.
What stands out
Predictive model
Enterprise scale
Long track record
Where it costs you
Needs clean historical data before predictions are usable
Assistant features are sold harder than the forecast accuracy
Right for
Enterprises wanting a model number to argue against the commit
Activity data platform that feeds forecasting rather than replacing it
Ranked #9 of 14 in Best Sales Forecasting Software in 2026.
Pricing on requestNorth America
People.ai, now trading as Backstory, is a data foundation sold to enterprises: it captures the emails, meetings and contacts sales never logs, resolves them to accounts and opportunities, and writes them back. Everything downstream, including forecasting, gets better because the inputs exist.
Judged only as a forecasting tool it is less capable than Clari or Terret. The deployment is also a project, because giving a vendor mailbox and calendar access is a conversation with security before it is one with sales.
What stands out
Automatic activity capture
Contact discovery
Enterprise deployment
Where it costs you
Thinner as a forecasting product than the specialists
Mailbox access triggers a security review before deployment
Right for
Large sales organisations fixing CRM data before trusting forecasts
Wrong for
Small teams that already log activity reliably
United StatesQuoted; platform fee for customer-facing users plus pre-paid usage, viewers not charged
Sales execution platform with forecasting bolted to the sequence engine
Ranked #10 of 14 in Best Sales Forecasting Software in 2026.
Pricing on requestNorth America
If Outreach is already the system reps work in, forecasting from the same activity data is a reasonable consolidation: no extra integration, no second login, and the engagement history behind each deal is already there.
Bought for forecasting alone the economics are poor, because forecasting comes only in the top Amplify Pro package, priced per seat plus AI credits, and you pay for the sequencing platform whether or not you use it. The forecasting side has also been renamed and repackaged, which makes multi-year planning around it harder than around a dedicated vendor.
What stands out
Sequences included
Execution platform
Seat-based
Where it costs you
Forecasting only in the top package, which bundles an engagement platform you may not need
The forecasting module has been repositioned more than once
Right for
Teams already running sequences here who want one fewer vendor
Wrong for
Buyers shopping for a standalone forecasting product
United StatesPer seat plus AI-credit usage, quoted; forecasting only in the top package
Forecasting module sold by the sales compensation vendor Xactly
Ranked #11 of 14 in Best Sales Forecasting Software in 2026.
Pricing on requestNorth America
Xactly is known for sales compensation, and its forecasting product extends that into the pipeline: customisable forecast views, tracking of how deals moved, and AI-generated risk and opportunity signals on top of CRM data.
The argument for it is consolidation, since commissions, quotas and forecasts then share a vendor and a data model. The argument against is the same: it is a suite purchase, quoted per organisation, and without the compensation product it loses most of its advantage.
What stands out
Compensation data
Suite purchase
Enterprise
Where it costs you
Strongest as an add-on to Xactly's compensation products, weaker bought alone
Quoted pricing and an enterprise sales process
Right for
Existing Xactly compensation customers wanting forecasts built on the same data
Wrong for
Mid-market teams without Xactly looking for a standalone forecasting tool
The category incumbent, now sold by Salesloft inside a revenue platform
Ranked #12 of 14 in Best Sales Forecasting Software in 2026.
Pricing on requestNorth America
Clari is the reference product and the one every other vendor is positioned against. It is now sold by Salesloft as Clari Forecast, so expect the conversation to include sequencing and conversation tools you may already own elsewhere.
It ingests CRM, activity and conversation data, produces a defensible number, and gives every level of the organisation the same view of what changed. The reason it sits low on a page that weighs independence is the commitment: a quoted enterprise contract, months of data work, and a cadence the whole revenue team must adopt.
What stands out
Enterprise standard
Revenue cadence
Heavy implementation
Where it costs you
Implementation is measured in months and needs data engineering
Only pays back if the whole revenue organisation changes how it works
Right for
Enterprises rebuilding their entire forecast cadence around one system
Wrong for
Teams under a hundred reps wanting a quick improvement
United StatesQuoted per organisation, annual commitment
Forecasting and pipeline analytics sold as a Salesforce add-on
Ranked #13 of 14 in Best Sales Forecasting Software in 2026.
Published pricingNorth America
The case is procurement, not product. It arrives on an existing contract, reads objects you already own, and needs no new data pipeline or security review, which for many companies decides it.
What you get is better-presented CRM data rather than an independent read on the pipeline, because the signals it scores are the fields reps already fill in. The interesting analytics also keep drifting toward Data 360, so price the full stack before assuming the add-on line is the cost.
What stands out
No new vendor
CRM-native
Data Cloud dependency
Where it costs you
Scoring relies on CRM fields unless outside data is connected
The stronger analytics increasingly assume Data Cloud
Right for
Salesforce shops that cannot get a new vendor through procurement
Wrong for
Companies wanting a model independent of their CRM data
United StatesAdd-on per user per month, published, billed annually; included in some Sales Cloud editions
The former InsightSquared analytics, no longer listed on Mediafly's own site
Ranked #14 of 14 in Best Sales Forecasting Software in 2026.
Pricing on requestNorth America
The InsightSquared analytics that this is built on were good at answering pipeline questions without anyone building a report first: stage conversion, slippage, cohort win rates and rep comparisons.
Mediafly completed the acquisition in January 2022, and its platform is now presented as three products, content engagement, value selling and learning, with no revenue intelligence or forecasting page left on the site. Integration thinking was Salesforce-first and pricing quoted; ask whether the product is still on sale, and on what roadmap, before spending time on a demo.
What stands out
Prebuilt reports
Analytics heritage
Suite purchase
Where it costs you
No longer listed on Mediafly's own product pages
Roadmap is shared with modules you did not buy
Right for
Sales operations teams wanting standard pipeline reports out of the box
Wrong for
Buyers who want a focused, independently developed forecasting tool
Sales forecasting software predicts closed revenue for a period by scoring open deals against past outcomes and buyer behaviour, then tracking how each call changed the number. The differences that matter are rarely in the feature list, so this is
the order we would work through them.
01
Decide whether you need a published price
5 of the 14 tools here publish what they cost; the other 9 quote per organisation. The ones you can compare without a sales call: Weflow, Forecastio, Revenue Grid, Collective[i], Salesforce Revenue Intelligence.
02
Decide how much the jurisdiction matters
These 14 vendors are established in 3 countries across 2 regions (North America 11, Europe 3). That decides whose disclosure law applies to what the vendor holds, wherever the servers are.
Your CRM already has a forecast number
Every CRM rolls up open deals into a total, and that total is only as good as the close dates reps typed. A forecasting product does something different: it compares each open deal against how deals like it behaved before, using activity, contact coverage and stage history rather than the field a rep updated on Friday.
Salesforce Revenue Intelligence sits closest to the CRM version and is the cheapest to adopt for that reason. Weflow attacks the input side instead, making the update fast enough that the rolled-up number is worth reading. Clari, Terret (formerly BoostUp) and Aviso replace the number outright with a model. Know which of the three you are buying, because they fail in different ways.
Write down today's forecast error for the last four quarters before shopping.
Decide whether your problem is bad inputs or no model. They need different products.
Ask each vendor which fields they read and which they ignore.
No algorithm fixes a pipeline nobody cleans
This is the part vendors will not open with. A model trained on your history learns your history, including the habit of leaving dead deals open until the quarter ends. Feed it three years of that and it will predict it back to you accurately.
The products that help most are the ones that change rep behaviour: Weflow because updating is faster than avoiding it, Ebsta because a deal with no contact activity is flagged before the review, Backstory (formerly People.ai) because the activity is captured whether or not anyone logs it. The forecast improves when the pipeline gets cleaned. Buying a scoring engine and changing nothing else buys you a better-presented version of the same wrong number.
Count how many open deals have a close date already in the past.
Agree a rule for closing dead deals, and enforce it before go-live.
Ask what percentage of email and meeting activity the tool captures without rep effort.
How much history the model needs before it says anything
Every one of these products needs closed deals to learn from, and the number is larger than the sales pitch implies. A team closing forty deals a year will not get a useful model out of Terret or Aviso in the first two quarters, because the training set is too small to separate signal from a good month.
Collective[i] gets around this by scoring against a pooled data set rather than only yours, which is a real answer with a real cost, since your activity data joins the pool. For everyone else, plan on the first two quarters producing dashboards rather than predictions, and judge the product on inspection and hygiene during that period instead.
Tell the vendor your annual closed-deal count and ask when scores become reliable.
Ask whether the model is trained on your data alone or on a shared pool.
Backtest against two closed quarters during the trial and compare with what you called.
The forecast is a meeting, not a number
The product that improves a forecast is the one that survives contact with the weekly pipeline review. That means a manager can open a rep's deals, see what moved since last week, and challenge one deal without exporting anything. Kluster is built around this and it shows in how the screens are arranged.
Clari does it too, at the cost of an implementation. Judge every demo on the review, not the dashboard: ask the vendor to run your Monday meeting in their tool with your data. If nobody in the room can answer why the number changed, the product has not helped, however good the model behind it is.
Run one real pipeline review inside the trial, with the actual managers present.
Check that the week-on-week change view names the deals that moved, not just the delta.
Confirm you can export the full deal history, including scores, when you leave.
What goes wrong most often when buying sales forecasting software
Buying a model to avoid a management conversation. The tool shows which deals are wrong; somebody still has to tell the rep.
Judging accuracy on the vendor's backtest. Run your own against two closed quarters, using only data that existed at the time.
Forgetting that the scores are the vendor's, not yours. Ask in writing whether deal scores and history come out in the export.
Paying for a platform when the actual problem is that nobody updates the CRM. Fix the input first and re-measure before signing.
07
Frequently asked questions
6 answers
What is the best sales forecasting in 2026?
Weflow leads our ranking of 14. Starts from the problem underneath the forecast: the CRM data is stale, so it syncs email and meetings into Salesforce, gives reps a fast grid to update deals and flags the ones nobody has touched.
Forecast rollups and submissions come first; an AI forecast prediction is only in the top Enterprise bundle. Salesforce-only, now with its own call recorder, and aimed at mid-market teams rather than enterprises.
Which sales forecasting tools publish their pricing?
5 of the 14, with the pricing model each one publishes:
Weflow: Per user per month, published; billed annually with a 10-user minimum.
Forecastio: Per month with two seats included, published; extra seats per month; billed annually; one-month pilot before paying.
Revenue Grid: Per user per month, published; forecasting only in the top Ultimate tier.
Collective[i]: C[i] for Sales per manager per month, published, billed annually; enterprise packages quoted.
Salesforce Revenue Intelligence: Add-on per user per month, published, billed annually; included in some Sales Cloud editions.
The other 9 quote per organisation.
Is there a free sales forecasting tool?
No. None of the 14 offer a usable free tier.
Where are these sales forecasting vendors established?
In 3 countries across 2 regions: North America 11, Europe 3.
Weflow: Germany.
Kluster: United Kingdom.
Ebsta: United Kingdom.
Forecastio: United States.
Terret (formerly BoostUp): United States.
Revenue Grid: United States.
Collective[i]: United States.
Aviso: United States.
Backstory (formerly People.ai): United States.
Outreach: United States.
Xactly Forecast: United States.
Clari Forecast (Salesloft): United States.
Salesforce Revenue Intelligence: United States.
Mediafly Intelligence360: United States.
What should you use instead of Weflow?
Kluster and Ebsta are the next two on this page. Kluster is for Sales leaders who want to run the weekly review inside the tool; Ebsta is for teams whose deals die from single-threading and quiet stakeholders.
Who should not buy Weflow?
Enterprises wanting a predictive model over many data sources. Salesforce only, with no HubSpot or Dynamics option.
If your sales forecasting product belongs among these 14, tell us what it does and who it is for. Inclusion is an editorial call; what a listing is and is not is set out under software advice.
![Collective[i] logo](/images/tools/collective-i.png){kind=small}
