
Every RevOps team eventually has a version of this conversation.
Sales leadership wants better forecast visibility, so someone puts Clari on the shortlist.
The SDR team needs better sequence tooling, so Outreach comes up.
Both vendors call themselves revenue intelligence platforms. Both have AI. Both integrate with Salesforce. And somehow you're now evaluating two $100K+ contracts that may or may not solve the same problem.
They don't. Understanding why requires getting past the marketing and into what each platform was actually built to do, and who it was built for.
The Clari vs. Outreach comparison exists because of a category-naming problem. Revenue platform now means fundamentally different things, depending on which team holds the budget. For revenue operations teams trying to build a stack that works, that distinction is the whole decision.
Clari and Outreach aren't competing on the same theory. They express different views about where the revenue problem actually lives.
Clari's theory: the problem is visibility. Revenue leaders can't make good decisions because they don't have reliable data on what's in the pipeline, which deals are at risk, and whether the forecast is trustworthy. Fix the data layer, and leaders can manage revenue with precision. That's the core promise of AI sales forecasting software: model the pipeline, surface the risk, predict the quarter.
Outreach's theory: the problem is execution. Revenue teams underperform because reps don't have structured, consistent workflows. They forget to follow up, they sequence manually, they can't personalize at scale. Fix the rep's daily motion through sales cadence automation, and pipeline generation and close rates improve.
Both are real problems. But they're different problems, and solving one doesn't address the other.
Organizations that deploy Clari without fixing rep execution get better dashboards that still show the same broken pipeline. Organizations that deploy Outreach without building forecast discipline can generate a lot of activity but can't reliably predict what closes.
Clari's core workflow is the pipeline review. The product is built around giving CROs, VPs of Sales, and RevOps the tools to do deal inspection, track pipeline management, and manage forecast accuracy at scale.
The platform pulls activity signals from Salesforce Sales Cloud, email, and (via Clari Copilot) call recordings, then surfaces deal risk, forecast variance, and pipeline coverage trends. Revenue leaders can see commits vs. best-case changes week over week, flag deals where engagement has gone quiet, and roll up forecasts across teams and regions.
For enterprise organizations that run structured pipeline reviews and need forecast governance over the forecast process, this is genuinely useful. Clari claims 3-4% quarterly forecast variance for mature customers, backed by a Forrester TEI study. That accuracy matters when a missed forecast has board-level consequences.
Clari's sales forecasting automation is directly dependent on CRM data quality. The platform models what's in Salesforce. If reps aren't updating Salesforce consistently (and most aren't), Clari is modeling an incomplete picture. It improves forecast visibility. It doesn't improve CRM hygiene.
Clari offers very little for frontline reps. There's no daily workflow built around prospecting, note-taking, or follow-up. SDRs and AEs rarely, if ever, touch it. RevOps and leadership love the platform. The reps whose behavior it's supposed to track don't engage with it. That adoption gap is documented across dozens of G2 reviews and is worth taking seriously before you sign.
Clari merged with Salesloft in December 2025. The combined platform now spans forecasting (Clari Core), conversation intelligence (Clari Copilot), and sales engagement (Groove/Salesloft). Full integration is expected through H2 2026. Pricing and roadmap are actively in flux. If you're signing a multi-year contract, the platform you're buying today may look different in 12 months.
Outreach's core workflow is the sequence. The product is built around providing SDRs and AEs with structured, repeatable, multichannel outreach motions, with analytics to see what's working and automation to run those motions at scale.
As a sales execution platform, the sequence engine is the best in the category.
Conditional branching, A/B testing, automated out-of-office handling, and multi-channel coordination across email, phone, LinkedIn, and SMS. That's where Outreach's decade of product investment comes to life.
Deep Salesforce sync means rep activity logs are automatically synced, which also feeds into the deal intelligence and pipeline views leaders use.
Outreach has added conversation intelligence (Kaia), deal management, mutual action plans, and forecasting to the engagement core.
Its April 2026 releases (Omni Agent, Agent Studio, Meeting Prep Agent, Research Agent) show real AI investment. The Omni Agent, which lets reps query across accounts, deals, and sequences in natural language, is genuinely useful for teams that are deep in the platform.
One honest caveat is that everything beyond the sequence engine is newer and less mature.
Kaia is gated to Amplify Plus and Pro tiers, so teams on Core don't get it.
Outreach Forecast works for mid-market teams that want basic forecasting without a separate deployment, but organizations with complex rollup requirements and multi-level hierarchies typically find it insufficient for serious pipeline management.
Outreach was built to move the pipeline, not to govern it.
For teams with fewer than 50 reps, cost and complexity are also real concerns.
Multiple G2 reviews describe the platform as overbuilt for smaller organizations. Without dedicated RevOps to configure and maintain it, the depth becomes overhead rather than capability.
Buying Clari or Outreach in isolation is rarely the real question. The real question is where each fits in a full enterprise sales software stack, and whether the combination makes sense for your organization right now.
Here's how it typically breaks down:
If pipeline generation is the primary constraint, Outreach belongs in the stack before Clari. The best sales forecasting software purchase doesn't help if there isn't enough pipeline to forecast. Adding visibility into a generation problem delays solving it.
If forecast accuracy is the primary constraint and pipeline generation is working, Clari addresses something Outreach can't.
Outreach's forecasting module won't provide multi-level rollups, CRO-level forecast governance, or AI-assisted scenario modeling that Clari's core product delivers.
If both are constraints, sequencing still matters.
Most Series B companies should establish execution discipline with Outreach before building forecast governance with Clari.
Most Series D+ companies with 200+ reps and mature RevOps can justify running both.
The scenario in which buying both is premature is more common than vendors will admit.
When comparing Clari vs Outreach pricing, a combined contract for a 30-rep team runs $150K–$330K annually before implementation. Add $15K–$75K for Clari professional services, $5K–$25K for Outreach onboarding, and ongoing RevOps overhead to maintain both.
The total cost of ownership climbs fast. And the two platforms aren't natively integrated. Activity data flows from Outreach to Salesforce Sales Cloud, and Clari reads from Salesforce. The pipeline between them depends entirely on your CRM hygiene.
Clari belongs in the stack when:
The Salesloft merger is a real variable. If you're evaluating in H2 2026, ask Clari directly how pricing and product roadmap are changing before signing anything multi-year.
If you're also evaluating Clari against other revenue intelligence platforms, see our Clari vs Gong comparison.
Outreach belongs in the stack when:
Outreach doesn't publish pricing. Market estimates run $100–160+/user/month, plus AI credit consumption on the Amplify packages, plus implementation. The total cost is consistently higher than the initial quote. Build that into the evaluation.
Here's what Clari and Outreach have in common: both are downstream of the actual conversation.
Clari reads from your CRM. Outreach writes to your CRM. The quality of both systems depends on what gets logged. And what gets logged is activity data: emails sent, calls made, stages updated, tasks completed.
What doesn't get logged is what was said. The specific objection a buyer raised in the second demo. Whether a champion was identified or just assumed. What pricing concern came up late in the deal. Whether the decision criteria shifted between meetings. Whether the person who said "we're moving forward" actually has budget authority.
That conversation intelligence data is where real deal signals live. A forecast built on CRM fields reflects what reps believe will happen. A forecast that also incorporates what buyers are saying in calls reflects what's actually happening. Those two things diverge more than most RevOps teams realize, especially late in the quarter.
Clari Copilot and Outreach Kaia both offer call recording and transcription. But for both platforms, it's a secondary layer. Copilot isn't where Clari's product investment is concentrated. Kaia is gated behind the higher-tier Outreach plans and sits on top of an execution-first architecture. Teams running both can have full visibility into sales pipeline management and rep activity, and still have no reliable signal from their customer conversations.
Avoma integrates natively with Outreach. It captures AI meeting notes and deal signals (pain points, objections, decision criteria, buying signals) from every conversation, syncs them to your CRM with custom field mapping, and surfaces deal and churn risk against your sales methodology (MEDDIC, SPICED, BANT, or custom). Pricing is published: $19–$39/user/month for core plans, with add-ons at $19–$29/user/month, compared to either platform's unpublished enterprise rates.
If you have Outreach for execution and want better deal intelligence from your meetings without adding a full Clari deployment, Avoma is the conversation intelligence layer that feeds the revenue forecasting picture that Outreach can't fully build on its own. And because it writes AI-captured meeting data (pain points, next steps, methodology scores) directly to your CRM fields after every call, it also solves the CRM hygiene problem that limits Clari's accuracy in the first place.
See how Avoma integrates with Outreach
Clari and Outreach are both serious platforms. They're just not solving the same problem, and buying the wrong one first is an expensive mistake.
If your reps aren't generating enough pipeline, Outreach belongs in your stack before anything else. If pipeline is healthy but your forecast is consistently wrong, Clari addresses what Outreach can't. And if you're already running both and still finding that deal signals fall through the cracks, the missing piece is probably the conversation data neither platform was built to capture.
The best-funded revenue stack isn't always the most accurate one. The most accurate one is the one where what buyers say in calls actually makes it into the forecast.
Clari's core product is revenue forecasting and pipeline inspection. It acquired Groove in 2023 and merged with Salesloft in 2025, which added sales engagement to its portfolio. But forecasting is where the product's depth still lives. If sales engagement is the primary need, evaluate a best sales engagement platform rather than banking on the Groove/Salesloft integration being fully mature.
For mid-market teams that don't need multi-level rollup hierarchies or CRO-level governance, Outreach Forecast covers the basics reasonably well. For enterprise organizations with complex Clari forecasting vs Outreach requirements (multiple regions, business units, CFO-level accountability) Clari's depth is stronger. Most enterprise teams with both requirements end up running both.
Clari vs Outreach pricing is opaque on both sides. Clari estimates run $60–110/user/month, with professional services adding $15K–$75K. Outreach estimates run $100–160+/user/month plus AI credit consumption and $5K–$25K in implementation. A combined contract for a 30-rep team commonly lands in the $150K–$330K annual range before professional services. Both require direct negotiation.
Data flows through Salesforce Sales Cloud as an intermediary: Outreach logs rep activity in Salesforce, Clari reads from Salesforce for forecasting. The connection works, but the two systems don't share data directly. The quality of that pipeline depends entirely on your Salesforce hygiene.
Depends on where the RevOps mandate sits. If RevOps owns forecast governance and pipeline visibility, Clari is purpose-built for that. If RevOps owns rep execution, outbound sequencing, and sales analytics, Outreach is. Most RevOps teams end up caring about both, which is why the combined stack is common at enterprise scale.
For teams evaluating Clari alternatives that want forecasting without Clari's implementation overhead, options include Avoma (stronger on conversation intelligence, mid-market pricing) and Salesforce's native forecasting. For teams evaluating Outreach alternatives focused on AI sales coaching and meeting intelligence rather than outbound volume, Avoma is worth a direct look. The right alternative depends on whether forecasting depth or conversation intelligence is the primary gap.
Both depend on CRM data as their primary input. Neither captures conversation intelligence as a core capability. For teams where forecast accuracy is constrained by the gap between what reps report and what buyers actually say in calls, conversation data from meetings is the layer neither platform fully delivers. Avoma integrates natively with Outreach to close that gap.
A sales engagement platform gives reps the tooling to run outbound: sequences, dialers, multichannel outreach, task management. A revenue intelligence platform gives leaders the analysis of pipeline health, deal risk, and revenue forecasting they need to manage the business. Outreach sales engagement vs Clari is precisely this distinction. Outreach built its reputation in sales engagement and added revenue intelligence. Clari built its reputation in revenue intelligence and added engagement through acquisition. Which gap you're solving first determines which platform belongs in your stack first.


