7 Clari alternatives
worth evaluating.
Clari is the default name in revenue intelligence. But "default" does not mean "best fit." Depending on what your team actually needs, one of these alternatives might be a better match. Here is an honest look at each one.
If you are reading this, you are probably doing one of two things. Either you are evaluating Clari and want to know what else is out there. Or you are already using Clari and wondering if something else fits better.
Both are reasonable. Clari is a solid pipeline intelligence platform. It does aggregation, roll-up, and rep workflow well. That approach works for teams whose primary problem is visibility and whose RevOps team wants to operate the platform.
It works less well for teams whose primary problem is forecast accuracy. If you want an AI/ML forecasting platform calibrated to your specific sales motion, you will look at this list differently.
Here are 7 alternatives, starting with the ones that take fundamentally different approaches and ending with the ones that compete more directly on Clari's turf.
ORM Technologies
ORM and Clari are both platforms. They are built for different problems. Clari is a broad revenue platform built for large enterprise teams: pipeline, ML forecasting, calls, and engagement, all in one stack. ORM is an AI/ML forecasting platform built for one job: producing a forecast accurate enough to defend in a board meeting, plus the prescriptive next steps to hit it.
The output is not just a number. ORM delivers prescriptive actions: which deals to accelerate, where to add pipeline, what to change this week to close the gap to target. The AI/ML models are calibrated to your specific sales motion, not tuned for the average Fortune 500.
ORM's AI/ML models deliver 85 to 95 percent forecast accuracy. Clari's Dynamic Forecasting is a real ML capability, but it sits inside a broad platform tuned for the largest enterprises. Companies between $100M and $1B in ARR often need a forecasting platform built specifically for their scale.
Best for: B2B SaaS companies between $100M and $1B in ARR (typically $200M to $500M) where the forecast goes to the board and a 10 to 15 percent miss is tens of millions in misallocated capital.
Pricing: Platform plus dedicated analyst layer. Not per-seat.
Deep dive: ORM vs. Clari full comparison
Gong
Gong started in conversation intelligence and expanded into revenue forecasting. Its core strength is still the conversation layer. Gong records, transcribes, and analyzes every customer interaction your team has. That data feeds into deal scoring and forecasting.
The forecasting functionality is real but secondary to the coaching and deal inspection use case. Gong's forecast models use conversation signals (email engagement, call sentiment, stakeholder involvement) rather than pure CRM pipeline data. That makes Gong's forecasts particularly useful for understanding deal health and rep performance.
The trade-off: Gong is a broad platform that does many things. If your primary need is accurate revenue forecasting with prescriptive actions, you will be paying for a lot of functionality you do not use. If your primary need is rep coaching and deal visibility with forecasting as a bonus, Gong is strong.
Best for: Sales-led organizations that want coaching insights, deal visibility, and forecasting in one platform. Teams where the VP of Sales is the primary buyer.
Pricing: Enterprise pricing. Typically $100-$150+/user/month. Minimum commitment of $30K-$50K/year.
Deep dive: ORM vs. Gong full comparison
6sense
6sense approaches revenue from the demand generation side. Its core strength is identifying accounts showing buying intent before they ever fill out a form. The platform combines third-party intent data, website visitor identification, and predictive scoring to tell your team which accounts are most likely to buy.
6sense has added revenue intelligence and forecasting capabilities, but these are add-ons to the core ABM engine. The platform is strongest at the top of the funnel, helping marketing and BDR teams prioritize outreach. For pipeline forecasting specifically, 6sense is less mature than tools built primarily for that purpose.
The key question: is your primary problem "we do not know which accounts to target" or "we cannot accurately forecast what we have in pipeline"? If it is the former, 6sense is worth evaluating. If it is the latter, you want a forecasting-first tool.
Best for: Marketing-led organizations that want account prioritization and intent signals. Companies where the top of funnel is the bottleneck, not pipeline-to-close conversion.
Pricing: Enterprise pricing. Platform contracts typically start at $60K-$120K/year depending on modules.
Deep dive: ORM vs. 6sense full comparison
HubSpot Forecasting
If your team already runs on HubSpot, its built-in forecasting tools are the path of least resistance. HubSpot's Sales Hub Enterprise includes forecasting with AI-powered deal scoring, pipeline management, and basic revenue reporting. No integration required because it is all in the same platform.
The strength is simplicity and ecosystem coherence. Your reps update deals in HubSpot, and the forecasts reflect those changes in real time. The weakness is depth. HubSpot's forecasting is built to be "good enough" for a broad customer base, not purpose-built for sophisticated revenue teams.
The AI scoring is decent for basic deal prioritization, but it cannot build custom models for your specific sales cycle or deliver the prescriptive depth that a dedicated forecasting solution provides. For companies between $50M and $1B ARR with complex, multi-segment pipelines, HubSpot's forecasting usually hits a ceiling.
Best for: HubSpot-native companies under $50M ARR that want forecasting without adding another vendor. Teams that value simplicity over depth.
Pricing: Included in Sales Hub Enterprise ($150/user/month) and Sales Hub Professional ($90/user/month with limited features).
Deep dive: ORM vs. HubSpot full comparison
InsightSquared (Mediafly)
InsightSquared was one of the original revenue intelligence platforms. It offered solid forecasting, pipeline analytics, and activity tracking for B2B sales teams. In 2022, Mediafly acquired InsightSquared and folded it into their sales enablement platform.
The result is a combined platform that tries to connect content engagement (which decks and proposals are working) with revenue intelligence (how the pipeline is performing). If you care about the intersection of sales content and pipeline performance, the combined platform is interesting.
The concern is focus. Post-acquisition platforms often try to do too many things. InsightSquared's standalone forecasting capabilities have not received the same investment as competitors who are solely focused on revenue intelligence. If forecasting accuracy is your primary buying criteria, you want a tool where forecasting is the product, not a feature inside a sales enablement suite.
Best for: Sales teams that want content analytics and revenue intelligence in one platform. Companies already evaluating Mediafly for sales enablement.
Pricing: Custom pricing through Mediafly. Expect enterprise-level contracts.
Aviso
Aviso positions itself as an AI-native revenue platform. The core product includes forecasting, pipeline inspection, deal intelligence, and conversation analytics. Aviso leans heavily on its AI capabilities and often leads with accuracy claims in competitive evaluations.
The platform's AI engine ingests data from CRM, email, calendar, and conversations to generate forecasts and deal scores. Aviso's approach is more data-hungry than most competitors. That can be a strength if you have clean data across all those systems. It can be a weakness if your data is messy or siloed.
Aviso is a self-serve platform. Your team configures and manages it. The AI is the product, not a human analyst who understands your business. That works well for companies with strong RevOps teams that can tune the system. It works less well for companies that want someone to own the accuracy of the forecast.
Best for: Companies with strong RevOps teams that want an AI-first platform and have clean data across CRM, email, and calendar systems. Teams that enjoy tuning and configuring tools.
Pricing: Custom enterprise pricing. Typically in the $50K-$100K/year range depending on team size and modules.
Dreamdata
Dreamdata is not a direct Clari competitor in the traditional sense. It is a B2B attribution platform that tracks the full customer journey from first touch to closed deal. If your core question is "which marketing channels and campaigns are actually generating revenue," Dreamdata answers it better than most.
The platform connects CRM, ad platforms, website analytics, and marketing automation to build a complete picture of what influenced each deal. For marketing teams trying to justify budget allocation, this is powerful. Dreamdata also provides pipeline reporting and some forecasting capabilities, though these are secondary to the attribution engine.
It makes this list because some teams evaluating Clari are really trying to solve an attribution problem, not a forecasting problem. If you want to know which deals will close and what to do about it, you need Clari or ORM. If you want to know which marketing investments are driving pipeline, you need Dreamdata.
Best for: Marketing teams that need multi-touch attribution across the B2B buyer journey. Companies where the marketing-to-revenue connection is the primary analytical gap.
Pricing: Starts at $999/month for the Team plan. Enterprise pricing for larger deployments.
Quick comparison.
| Tool | Primary Strength | Approach | Best For |
|---|---|---|---|
| ORM | Custom forecast models | Partner + custom models | $50M-$1B B2B SaaS |
| Clari | Revenue intelligence platform | Self-serve platform | Large enterprise RevOps |
| Gong | Conversation intelligence | Self-serve platform | Coaching + deal visibility |
| 6sense | Intent data + ABM | Self-serve platform | Top-of-funnel targeting |
| HubSpot | CRM-native forecasting | Built-in CRM feature | HubSpot-native teams |
| InsightSquared | Content + revenue alignment | Acquired platform (Mediafly) | Sales enablement focus |
| Aviso | AI-native forecasting | Self-serve platform | Strong RevOps teams |
| Dreamdata | B2B attribution | Attribution platform | Marketing measurement |
How to choose the right alternative.
The right choice depends on what problem you are actually trying to solve. Here is how to think about it:
If your problem is forecast accuracy, look at ORM or Aviso. Both are forecasting-first. The difference is that ORM builds custom models and operates them for you, while Aviso gives you a self-serve AI platform your team configures and maintains.
If your problem is rep coaching and deal visibility, Gong is the strongest option. Its conversation intelligence layer gives you insight into what is happening in every deal without relying on reps to update CRM fields.
If your problem is demand generation and account targeting, 6sense solves a different problem than Clari. If your bottleneck is at the top of the funnel, 6sense's intent data engine is more relevant than a forecasting tool.
If you want the simplest path, and your team is already on HubSpot, start with its built-in forecasting. You can always add a dedicated tool later when you outgrow it.
If your problem is attribution, Dreamdata answers "what is driving revenue" while the others answer "what will revenue be." Different questions, different tools.
For more detailed comparisons, explore our individual deep-dives: ORM vs. Clari, ORM vs. Gong, ORM vs. 6sense, ORM vs. HubSpot. For more on the underlying concepts, see revenue intelligence in our glossary.
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