6 Clari alternatives for revenue forecasting in 2026

As of 1 September 2026 there is no company called Clari. The merger with Salesloft closed in December 2025 and the combined business now runs under the Salesloft name, with the forecasting product surviving as Clari Forecast inside that platform. For teams reconsidering the renewal, the six credible alternatives are Gong, Terret (formerly BoostUp), Aviso, Backstory (formerly People.ai), Salesforce Revenue Intelligence, and RevSure. They do not all solve the same problem, which is the first thing to sort out.

What happened to Clari, stated plainly

Clari is no longer an independent company, and as of September 2026 it is no longer a standalone brand either. The merger with Salesloft was announced 7 August 2025 and closed 3 December 2025. Steve Cox was appointed CEO at close, not Clari co-founder Andy Byrne, who the August announcement had indicated would lead the combined company. Salesloft has been majority-owned by Vista Equity Partners since a deal at a $2.3 billion valuation announced in late 2021.

On 1 September 2026 Salesloft announced that the combined company runs under the Salesloft name. The forecasting product survives as Clari Forecast inside the Salesloft platform, alongside Cadence, Conversation Intelligence, Deals, Inspect and Rhythm. The clari.com press resources now redirect to salesloft.com.

None of this makes the product bad. Clari carries a 4.6/5 G2 rating across 5,624 reviews as of 21 September 2026, one of the strongest in enterprise software. But a renewal conversation with a merged company under a new CEO and a retired brand is a different conversation than the one signed three years ago, and that is why the search volume for alternatives is where it is.

The six at a glance

G2 ratings checked 21 September 2026: Clari 4.6/5 (5,624 reviews), Gong 4.7/5 (6,719), Terret 4.4/5 (615), Aviso 4.3/5 (990), Backstory 4.5/5 (630). Salesforce Revenue Intelligence has no standalone G2 listing; the 4.2/5 across 1,686 reviews often quoted for it belongs to Agentforce Revenue Management, formerly Revenue Cloud, which is a different product.

Why teams look for an alternative to Clari

Set the merger aside and the product complaints are consistent and specific.

Configuration burden comes first. A large share of reviewers describe difficulty tailoring the platform to a business that does not match the default model, and it is the most frequently raised theme in public reviews. Implementation involves meaningful data cleanup before output is trustworthy.

Salesforce integration inconsistency comes second, which is awkward for a product whose value proposition rests on the CRM. Reviewers report limited filtering, restricted customisation of the integration, and confusion arising from the sync behaviour.

Cost relative to team size comes third. Clari is difficult to justify below roughly 20 reps, which pushes smaller organisations toward Terret or Aviso.

And underneath all of it sits the complaint that is not really about Clari. Forecasting software inherits the quality of the CRM it reads. Every vendor in this comparison is downstream of the same stage definitions, the same optimistic close dates, and the same half-filled opportunity records.

An opinion worth disagreeing with

Forecast accuracy is mostly a data problem wearing a modelling costume.

Most teams shopping for a forecasting platform would get a larger accuracy improvement from rewriting their stage exit criteria and enforcing close-date hygiene than from any vendor on this page. This is not a popular thing for a vendor to publish, and every vendor here knows it, because the implementation teams spend the first eight weeks doing exactly that cleanup before the model is switched on. The software then gets credit for the improvement.

There is a real counter-argument. Manual hygiene decays the moment the person enforcing it changes roles, and a system that enforces it continuously is worth paying for even if the first-order gain came from the cleanup. That is a fair defence of the category. It is not a defence of the idea that buying a model fixes a definition problem.

Here is the evidence from RevSure's own corpus of 22 recorded enterprise GTM teams. At one company, the measured influence of a single channel came out at 16 million dollars under a linear attribution model, 1.8 million under an AI model, and 18,000 dollars under that same AI model one quarter later. The channel did not change. An analytics lead at a software testing company drew the obvious conclusion out loud: "I would rather have a worse model that I can actually explain to people if they ask. The data changes all the time. It's impossible to explain."

A model nobody can explain does not get argued with. It gets ignored, and then the forecast goes back into a spreadsheet.

The macro context

Board, the enterprise planning platform, published its 2026 Planning Intelligence Report on 16 September 2026, based on a survey of 300 CFOs, CIOs and COOs at enterprises above $100 million in revenue. It found that 83 percent of executives say their board has made a strategic decision based on a forecast they already knew was outdated. Three-quarters said roughly half or more of their planning decisions rely on data more than 30 days old. Eighty-five percent reported increased pressure to decide faster, while only 27 percent could replan in real time.

Two caveats belong with that, and a reader deserves both. Board sells planning software, so it has a commercial interest in the finding. And the study covers enterprise financial planning rather than sales pipeline forecasting specifically, so the analogy to a revenue forecast is an inference rather than a measurement.

The inference still holds up against what the corpus shows. The failure mode described is not a bad model. It is a decision made on a number that everyone in the room already knew was stale, because the process for producing a fresher one took longer than the decision could wait.

1. Gong: best when the forecast should be grounded in what was said

Gong records and transcribes calls, emails and meetings, extracts deal and competitor signals from that corpus, and drives coaching, deal inspection and forecasting from it. The architectural difference from Clari is that the primary evidence is the conversation rather than the CRM field, which means a deal can be flagged at risk because of something a buyer said rather than because a close date slipped.

This is for a company with 100 or more reps that already runs call coaching as a discipline, where the sales leadership team reviews calls rather than only dashboards. Gong is expensive to justify as a forecasting tool alone and easy to justify when coaching, competitive intelligence and forecasting all run on one corpus.

AI inaccuracy is the single most-cited complaint in Gong's review corpus, and reviewers describe it as degrading the relevance of the insights. Transcription struggles with accents, technical terminology and non-English languages, which is a real constraint for a company selling into EMEA or APAC. Transcription delays of up to an hour after a call are reported. Retrieving older calls is difficult, and there is no real-time coaching during a live call.

On 12 May 2026 Gong announced that ARR had passed $500 million with growth accelerating past 55 percent year over year, and more than 5,000 customers including half of the Fortune 10. On security, Gong's Trust Center lists ISO/IEC 27001, 27017, 27018, 27701 and 42001:2023, along with SOC 2 including a Type 2 report with HIPAA, PCI DSS, CSA STAR and EU-US DPF. G2 on 21 September 2026: 4.7/5 across 6,719 reviews, the highest rating and largest review base in this comparison.

2. Terret: best for agent-driven forecasting below enterprise pricing

BoostUp rebranded to Terret on 9 September 2025, positioning the shift as a move from a forecasting tool to a full-stack AI system. The product is sold as a Virtual Revenue Fleet of agents that ingest CRM and activity data: Pipeline Builder, Sales Process Agent, Mutual Action Planner, Machine Forecast and Terret GPT.

The fit here is a 50 to 300 rep organisation that wants enterprise-grade forecasting logic without enterprise-grade pricing, and that has a RevOps function capable of configuring the process enforcement rather than expecting defaults to fit. The mutual action plan capability is the differentiator for teams running complex multi-stakeholder deals.

Three limitations matter more than the rest. There is no hierarchy forecasting, which rules it out for organisations that need to roll a forecast up through multiple management layers with adjustments at each. Reporting cannot track or display forecasts in multiple currencies, which rules it out for many international teams. And Salesforce connectivity issues and lag are the most frequently raised problem in public reviews, with forecasting accuracy degrading further where Salesforce data is unclean.

The 9 September 2025 rebrand release names MongoDB, Cloudflare, Carta and Mistral as customers. Prior funding included a $28.5 million Series B. G2 on 21 September 2026: 4.4/5 across 615 reviews, carried over from the BoostUp listing.

3. Aviso: best for regulated, public-sector and cost-sensitive buyers

Aviso covers forecasting, deal and pipeline management, conversational intelligence and a GTM copilot in one system, and positions explicitly against Clari on price and on serving public-sector and regulated buyers.

This fits a RevOps leader in government, defence, public safety or a similarly procurement-heavy sector, or an enterprise with a hard budget ceiling that still needs conversational intelligence and forecasting in the same product rather than buying two.

Performance is the recurring problem, and reviewers are specific about it: page loads exceeding 10 seconds, frequent lag, and a platform that occasionally goes unresponsive or falls out of sync. Data accuracy issues trace specifically to the Salesforce integration, with sync delays of up to an hour. Initial setup is difficult and reviewers report no visibility into implementation progress while it happens. The interface is cluttered. Forecasting capabilities are less complete than the enterprise tier.

One note for a regulated buyer: Aviso does not surface a public trust centre in the way Gong does, so compliance attestations should be requested directly during evaluation rather than assumed from the website. That is standard diligence, not a finding.

Aviso AI became available on the Zoom App Marketplace on 28 February 2025. A partnership with systems integrator NEWCOM targeting public safety and enterprise markets was announced 11 March 2026. G2 on 21 September 2026: 4.3/5 across 990 reviews.

4. RevSure: best for forecasting pipeline creation rather than conversion

RevSure does not record calls, does not run deal inspection, and does not produce a rep-level commit. A sales leader looking for a replacement for the weekly forecast call should not shortlist it, and the rest of this section will not change that.

The distinction that matters is which half of the revenue problem is being forecast. Clari Forecast, Gong and Terret forecast the conversion of pipeline that already exists: which of these open deals will close, and for how much. RevSure sits a stage earlier and forecasts pipeline creation: how much qualified pipeline the current marketing and sales development motion will produce next quarter, which campaigns are creating it, and which are consuming budget without creating any.

It does that by resolving identity across Salesforce, HubSpot, Marketo, Snowflake, LinkedIn Ads, Google Ads and the ABM layer into one reconciled record on the Full Funnel Data Graph, then running Decision Attribution and forward pipeline forecasting on that single record. The practical test is whether the pipeline number in the marketing report matches the pipeline number in the CRM. Where it does not, the gap is almost always an identity problem rather than a modelling one.

The right buyer is a company where the CMO and the RevOps leader are jointly accountable for a pipeline generation target, typically 500 to 5,000 employees, running Salesforce plus a marketing automation platform plus paid media, where the quarterly business review argues about which channel created the pipeline and nobody can settle it with evidence.

RevSure stops in two places, both real. The first is scope: a team that needs deal-level forecasting, call recording and rep coaching needs a different product, and many RevSure customers run one alongside it. The second is that the forecast is only as good as the campaign taxonomy underneath it. Where paid campaigns are named inconsistently across Google Ads, LinkedIn and the marketing automation platform, the model will group spend the way the naming implies rather than the way the programme was actually run, and fixing that is the customer's work before the output is trustworthy.

Unlike most vendors on this page, RevSure publishes its tiers, priced by contact volume with implementation included, on the pricing page. It is certified to ISO/IEC 42001:2023, the AI management systems standard, which only one other vendor compared here (Gong) also holds. The feature-level comparison against Clari Forecast sits at RevSure vs Clari.

The corpus detail that shows why the creation half matters: at one company, most of the paid budget went to paid search, but the last-source-before-MQL logic re-bucketed most of that pipeline to paid social and paid ABM. The forecast was not wrong about the total. It was wrong about what to spend more on, which is the decision the number was being used to make.

5. Backstory: best for fixing the activity data the forecast sits on

People.ai became Backstory on 21 April 2026, and people.ai now redirects to backstory.ai. Jason Ambrose became CEO on 30 October 2025, promoted from SVP Marketing and Strategy, with founder Oleg Rogynskyy moving to the board. The repositioning is from a data and analytics product to what the company calls a Revenue Answers Platform.

The underlying capability has not changed and remains the most useful thing about it: automatic capture of emails, meetings, calls and chats, matched to CRM records with patented matching technology. For a forecasting problem, this addresses the layer beneath the model. A deal with no logged activity looks the same as a dead deal to every forecasting tool in this comparison, and Backstory's job is to ensure that never happens.

Best suited to a large enterprise sales organisation where rep CRM hygiene is poor enough that activity-based deal scoring cannot be trusted, and where headcount makes manual enforcement impossible. Named customers include Red Hat, Five9, Palo Alto Networks, Iron Mountain, TransUnion, Randstad and AVEVA.

LinkedIn and Slack activity are not captured, which leaves real gaps in how modern sellers actually communicate. Reviewers report data accuracy problems and misinterpretation of captured activity, which is the risk inherent in automated matching. The interface is dated. Page timeouts and loading delays appear repeatedly, and setup requires precise implementation knowledge. Reporting and customisation are limited relative to a dedicated analytics tool.

On 18 February 2026, before the rename, the company launched an MCP integration for its SalesAI platform, exposing revenue intelligence to Claude, Microsoft Copilot, ChatGPT and custom agents. G2 on 21 September 2026: 4.5/5 across 630 reviews.

6. Salesforce Revenue Intelligence: best for teams committed to staying inside Salesforce

Revenue Intelligence is a Sales Cloud add-on built on CRM Analytics, adding revenue dashboards and AI-powered deal insights natively. Two Salesforce products get confused constantly, so keep them apart: Revenue Intelligence is forecasting and pipeline analytics, while Revenue Cloud, now being renamed Agentforce Revenue Management, is the quote-to-cash lineage covering CPQ, contracting and billing.

It works for a Salesforce-standardised enterprise with admin and CRM Analytics capacity in house, where the argument for a third-party forecasting tool keeps losing to the argument that the data is already here. Where CRM hygiene is already solid, this is the shortest path to a working forecast.

It requires clean CRM data to produce anything useful, more so than the third-party tools, because it has no independent activity capture layer to compensate. The learning curve is steep enough that reviewers repeatedly describe needing niche skills or paid consultants. Setup is burdensome, and the breadth of customisation options makes straightforward tasks cumbersome. AI features degrade badly on poor data.

This is the only vendor in the comparison with a published list price. Revenue Intelligence is $220 per user per month billed annually, and $250 per user per month with Tableau, on an annual contract, per salesforce.com as of 21 September 2026. Salesforce notes it is included in Max Edition or available separately. It sits on top of a Sales Cloud licence, so the real cost is additive.

How to choose

Which half of the number is the problem? Missing the forecast on deals already in pipeline points to Gong, Terret or Clari Forecast. Not creating enough pipeline to forecast in the first place points to RevSure. These are different problems that share a vocabulary, and teams buy the wrong one regularly.

Is the evidence in the CRM or in the conversations? If deal risk shows up in what buyers say before it shows up in a field, Gong's architecture matches the reality. If the CRM is well maintained and the issue is roll-up and process discipline, Terret or Salesforce Revenue Intelligence will be cheaper and faster.

Is the activity data trustworthy? Test this before shortlisting anything. Pull 20 closed-won opportunities from last quarter and count logged activities against what actually happened. If the gap is large, Backstory addresses the foundation and every forecasting tool bought before it will underperform.

What to ask all six about token scoping. Every tool here connects to Salesforce and often to a data warehouse through OAuth, which makes token handling a category question rather than a vendor one. It became concrete in August 2025, when Salesloft disclosed a breach of its Drift platform, acquired February 2024: a threat actor tracked as UNC6395 abused Drift OAuth tokens to reach connected Google Workspace, AWS, VPN and Snowflake environments across more than 700 organisations. Salesloft instructed customers to revoke and rotate API keys and engaged Mandiant. The diligence that follows applies to all six vendors on this page. How are integration tokens scoped, how often are they rotated, and what is the disclosure commitment.

What does procurement need? Teams arriving here after an ABM platform change should also read 7 Demandbase alternatives for B2B GTM teams in 2026, since the migration problem is the same one. A regulated or public-sector buyer should shortlist Aviso but should request compliance attestations directly during evaluation. A Salesforce-only mandate points to Revenue Intelligence at a known $220 per user per month. Budget-constrained enterprises should price Terret and Aviso against each other before assuming the enterprise tier is required.

Questions, answered

Is Clari still available in 2026?

Yes, as Clari Forecast inside the Salesloft platform. Clari merged with Salesloft in a deal announced 7 August 2025 and closed 3 December 2025, and on 1 September 2026 Salesloft announced the combined company operates under the Salesloft name. The forecasting product continues; the standalone Clari brand does not.

Who owns Clari now?

Salesloft, which has been majority-owned by Vista Equity Partners since a deal at a $2.3 billion valuation announced in late 2021. Steve Cox was appointed CEO of the combined company at close on 3 December 2025, rather than Clari co-founder Andy Byrne as originally announced in August.

What is the best Clari alternative for a mid-market team?

Terret, formerly BoostUp, is the usual answer below roughly 300 reps, since Clari is hard to justify under about 20 reps and the enterprise tier scales past mid-market budgets. Two limits to confirm first: Terret has no hierarchy forecasting and no multi-currency reporting, which rules it out for many international or multi-layer organisations.

Does RevSure compete with Clari?

Partially. Both forecast revenue, but Clari Forecast projects the conversion of existing pipeline, while RevSure forecasts pipeline creation and attributes which campaigns and channels generated it. RevSure does not do call recording, deal inspection or rep-level commit, and a number of customers run both.

How much does Salesforce Revenue Intelligence cost?

$220 per user per month billed annually, or $250 per user per month with Tableau, per Salesforce's published pricing as of September 2026. It requires an annual contract and sits on top of an existing Sales Cloud licence, so the effective cost is additive rather than standalone. It is the only vendor in this comparison publishing a list price.

Will a forecasting tool fix an inaccurate forecast?

Only partly. Every tool here reads the same CRM stage definitions, close dates and opportunity records, and inherits their quality. Implementation teams typically spend the first weeks on data cleanup before switching the model on, which means a meaningful share of the improvement comes from the cleanup. A tool that enforces hygiene continuously is worth paying for; a tool bought instead of fixing definitions usually is not.