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.
Vendors can pay for visibility on this page. It never changes what an entry
says about a product, including the criticism, and we earn nothing when you click through to a
vendor. How that works.
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.
Five things, in this order. Feature counts are not among them: they are the least useful
comparison in software, because every vendor ticks every box.
01
Setup effort in sales forecasting software
What the first ninety days of a sales forecasting software rollout cost in hours, not in licence fees. A product that needs a partner engagement before it does anything is a different purchase from one a team configures in an afternoon.
02
What sales forecasting software really costs
What the bill becomes once the modules a normal buyer of sales forecasting software needs are added, and whether you can read that number without a sales conversation.
03
Getting your data out of sales forecasting software
How your own data comes back out, in what format, and whether that export is included in the sales forecasting software contract or billed as a project.
04
Independence from the vendor
Whether you can buy sales forecasting software, run it and leave it on your own terms. This test decides most of the order on this page, and it is why the largest vendors in sales forecasting software often sit below the smaller ones.
05
Who the product is built for
The size and shape of company each sales forecasting software product was actually built for. Most regret in software comes from buying for a company you are not yet.
The fourth test decides most of the order on this page, and it is the reason the largest
sales forecasting software vendors sit below the smaller ones. A product with a published price, an export
that works and no mandatory implementation partner is a product you can leave.
A platform suite that arrives with a quote, a partner and a two-year commitment may well be
the better software and is still the harder decision to reverse. We rank sales forecasting software for the
buyer who has to live with that decision without a procurement department, which is a stated
bias rather than a hidden one.
We do not publish a score out of ten. A number like 8.4 is a judgement dressed as a
measurement, and nobody can check it.
What you can check is on this page: what each sales forecasting tool costs, where the vendor is
established, whether the price is published, and what we think it is bad at. Our full method
is on the how we work page.
Salesforce shops that cannot get a new vendor through procurement
Companies wanting a model independent of their CRM data
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 12 in Best Sales Forecasting Software in 2026.
Published pricingEurope
Weflow treats the forecast as a data hygiene problem, which is usually the correct diagnosis. 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 seat, you can size it without a sales call. The boundaries are clear: it is Salesforce-only, it does not analyse calls, and if you wanted a model that disagrees with your reps, this is not that product.
What stands out
Pipeline hygiene
Published pricing
EU vendor
Where it costs you
Salesforce only, with no HubSpot or Dynamics option
No conversation intelligence of its own
Right for
Mid-market Salesforce teams whose forecast fails on stale data
Wrong for
Enterprises wanting a predictive model over many data sources
British forecasting platform built for the weekly pipeline review
Ranked #2 of 12 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 involves the vendor mapping your stages and definitions, which is a week or two of joint work rather than a self-serve trial. It is a smaller company than Clari, and the reference list is heavily British, which cuts both ways depending on where you sell.
What stands out
Scenario planning
Deal inspection
UK vendor
Where it costs you
Quoted pricing with vendor-led stage mapping
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 12 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
Forecast scoring plus a reporting layer you can rebuild yourself
Ranked #4 of 12 in Best Sales Forecasting Software in 2026.
Pricing on requestNorth America
BoostUp's advantage is that you can 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 #5 of 12 in Best Sales Forecasting Software in 2026.
Pricing on requestNorth 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 a quoted price, 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, not the core
Module breadth stretches the first configuration
Right for
Salesforce teams whose activity data never reaches the CRM
Network-based deal scoring drawn from anonymised buying patterns
Ranked #6 of 12 in Best Sales Forecasting Software in 2026.
Free tierPublished 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 BoostUp ship.
What stands out
Pooled data model
Free entry tier
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 StatesFree tier for individuals; enterprise quoted
Forecast prediction with an AI assistant over the pipeline
Ranked #7 of 12 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 #8 of 12 in Best Sales Forecasting Software in 2026.
Pricing on requestNorth America
People.ai 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 BoostUp. 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
Sales execution platform with forecasting bolted to the sequence engine
Ranked #9 of 12 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 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
Seat price covers 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
The former InsightSquared analytics, now inside a larger enablement suite
Ranked #10 of 12 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, and that is still true: stage conversion, slippage, cohort win rates and rep comparisons are there on day one.
What changed is the commercial framing, since the product now arrives inside Mediafly's enablement portfolio and the sales conversation widens accordingly. Integration thinking is Salesforce-first, pricing is quoted, and investment is now split across a suite rather than concentrated on forecasting.
What stands out
Prebuilt reports
Analytics heritage
Suite purchase
Where it costs you
Now sold as part of a wider enablement suite
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
The category incumbent, sold as a revenue platform not a report
Ranked #11 of 12 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 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. Buy the process first; the software only makes it visible.
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 #12 of 12 in Best Sales Forecasting Software in 2026.
Pricing on requestNorth 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 Cloud, 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 rather than outside behaviour
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
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
2 of the 12 tools here publish what they cost; the other 10 quote per organisation, which means a sales conversation before you can compare anything. If you are buying without a procurement function, start with the ones that publish: Weflow, Collective[i].
02
Work out what the first ninety days cost in time
Licence cost is the number in the contract; setup effort is the number that surprises people. Ask every shortlisted vendor who does the configuration, how long it took the last customer of your size, and what happens if that person leaves halfway.
03
Check the exit before the entry
Ask for an export of your own data in a format you can open, and ask whether it is included or billed as a project. A vendor that hesitates here is telling you what renewal negotiations will feel like in three years.
04
Match the tool to the size you are, not the size you plan to be
Most regret in this category comes from buying for a headcount that never arrived. The entry-level products here are not worse; they are aimed at a different company.
05
Decide how much the jurisdiction matters
These 12 vendors are established in 3 countries across 2 regions (North America 9, Europe 3). Where a vendor is established decides which government can compel access to what it holds, which is a different question from where the servers are. For most buyers that is a factor, not a veto.
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, 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, 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 BoostUp 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
9 answers
What is the best sales forecasting in 2026?
Weflow leads our ranking of 12. Starts from the problem underneath the forecast: the CRM data is stale, so it gives reps a fast grid to update deals and flags the ones nobody has touched.
Forecast rollups and submissions follow from clean data rather than from a model. Salesforce-only, thinner on conversation signals than Clari, and aimed at mid-market teams rather than enterprises.
How did you rank these sales forecasting tools?
On what separates products after the demo: how much setup the first ninety days take, what the price becomes once the modules a normal buyer needs are added, how your data comes back out, whether you can buy and leave it without a partner engagement, and who the product is genuinely for.
That fourth test is why the large platform suites usually sit lower here than their market share would suggest. Not on feature counts, and not on a score we invented.
Which sales forecasting tools publish their pricing?
2 of the 12, with the pricing model each one publishes:
Weflow: Per seat per month, published.
Collective[i]: Free tier for individuals; enterprise quoted.
The other 10 quote per organisation.
Is there a free sales forecasting tool?
Collective[i] offer a free tier or a free self-hosted edition. Read what the free tier excludes before you plan around it.
Where are these sales forecasting vendors established?
In 3 countries across 2 regions: North America 9, Europe 3.
Weflow is established in Germany.
Kluster is established in the United Kingdom.
Ebsta is established in the United Kingdom.
BoostUp is established in the United States.
Revenue Grid is established in the United States.
Collective[i] is established in the United States.
Aviso is established in the United States.
People.ai is established in the United States.
Outreach is established in the United States.
Mediafly Intelligence360 is established in the United States.
Clari is established in the United States.
Salesforce Revenue Intelligence is established in the United States.
Establishment decides whose courts and whose disclosure laws apply, which is a separate question from where the data is hosted.
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.
All 12 are ranked here with what each one is bad at.
Who should not buy Weflow?
Enterprises wanting a predictive model over many data sources. Salesforce only, with no HubSpot or Dynamics option.
Do you get paid for these rankings?
Vendors can pay for visibility, which affects where and how prominently a product appears. It does not change a word of what the entry says about that product, including the criticism, and it cannot buy inclusion for something that does not belong in the category.
We take no commission when you click through to a vendor and we do not know whether you bought anything. The full arrangement is on our disclosure page.
How often is this sales forecasting guide updated?
Whenever the facts move: a price change, an acquisition, a product that stops being maintained. The published and updated dates at the top of the page are real, and a review means someone went back to the vendor documentation rather than bumping a date.
These 12 products are the ones we judged worth ranking in sales forecasting. If yours belongs here and is missing, tell us what it does and who it is for, and we will look at it. Inclusion is an editorial call and it is not for sale — but nobody gets considered for a list they were never put in front of.
People land on this page with a shortlist to make, not a browsing habit to feed. That is a narrower audience than a banner reaches and a far more decided one.
Written by us, about you
We describe the product in our own words, say who it suits and say who it does not. A vendor never writes the entry and never sees it before it goes up.
A correction costs nothing
If a fact about your product is wrong here, tell us and we fix it, whether or not there is any money between us. That offer is older than any commercial arrangement on this site.
Placement is separate, and disclosed
Where a product sits in the ranking can be paid for, and the notice above the list says so on every page. What the entry says about the product is not for sale at any price.
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![Collective[i] logo](/images/tools/collective-i.png){kind=small}
