Industry insights

Clari Pricing: Comprehensive Guide for 2026

Sorry, your browser does not support inline SVG.

Key Takeaway

  • Clari pricing is modular and opaque, with total costs often rising faster than expected as Core, Copilot, Groove, implementation services, and ongoing RevOps overhead are added.
  • Clari delivers the strongest ROI for large enterprises that prioritize strict forecasting discipline, executive rollups, and consistent process enforcement across complex, distributed sales teams.
  • Most buyers underestimate Clari’s total cost of ownership, which is driven more by implementation time, admin effort, integrations, and renewals than initial per-user pricing.
  • Revenue Grid is a strong alternative for Salesforce-first teams seeking unified forecasting, activity capture, and deal signals inside the CRM, with faster adoption and lower operational friction.
  • Gong and Salesloft generate ROI in coaching and outbound productivity, but often increase overall spend when layered alongside Clari rather than replacing it.

Revenue forecasting has become one of the most expensive problem areas for enterprise sales teams. 95% of revenue organizations now use AI-driven tools to improve forecast accuracy, yet missed forecasts remain common and costly. That pressure is why Clari shows up so often in enterprise buying conversations.

Clari is positioned as a forecasting and revenue governance platform for large sales organizations. A Forrester Total Economic Impact™ study commissioned by Clari reported strong ROI and payback in under six months for enterprises that fully adopted its forecasting workflows. Those results explain the appeal.

The challenge is pricing clarity. Clari’s costs are modular, quote-based, and often expand well beyond initial expectations once Copilot, Groove, implementation services, and ongoing RevOps overhead are factored in.

This guide focuses on how Clari pricing works in practice, where total costs grow, what ROI looks like in the real world, and how Clari compares to alternatives like Revenue Grid when total cost of ownership matters. Note: Total cost of ownership includes not only the initial pricing but also the ongoing costs such as implementation, integrations, and maintenance.

What is Clari?

Clari is a revenue intelligence platform built to bring discipline and predictability to enterprise sales forecasting. It aggregates CRM data, sales activity, and historical trends to help leadership answer a critical question: how confident are we in the number we’re committing to?

Enterprises choose Clari because it standardizes forecasting at scale. Reviews on G2 and Reddit consistently point to its strength in executive visibility, clean rollups across regions, and enforced forecasting cadence. For CROs and finance teams, Clari replaces subjective updates with a single number they can plan around.

The tradeoff, though, is complexity. Users often describe Clari as management-first, with insights living outside daily rep workflows. Cost transparency and operational overhead also surface as concerns, which is why buyers quickly start looking beyond features and into total cost of ownership.

Understanding Clari Pricing

Clari pricing Breakdown

When you start evaluating Clari pricing, the first thing you notice is that there isn’t a single number to react to. Pricing is modular and largely shaped by what enterprises actually end up using, not just what they buy at the start. 

Most of the concrete numbers available today come from aggregator sites like G2, TrustRadius, and customer disclosures.

Clari Core Pricing

Clari Core is the forecasting and pipeline foundation. This is where roll-ups, commit categories, pipeline inspection, and executive dashboards live. Core is what most teams buy first, and it’s what Clari is best known for. Pricing is quoted annually and scales with the number of users and forecast hierarchy complexity. 

Based on aggregated buyer data, Core typically starts around $100–$120 per user per month, billed annually. That translates to roughly $1,200–$1,500 per user per year.

This is usually positioned as the “entry point,” but for most mid to large enterprises, Core is rarely the final scope. Teams often discover that forecasting alone doesn’t explain why deals move or stall.

Clari Copilot Pricing

Copilot, Clari’s conversation intelligence module that adds deal risk signals and coaching insights. This module is priced separately and usually licensed per rep or role. Costs increase as call volume and team size grow.

Public estimates place Copilot between $60 and $110 per user per month, depending on plan and security requirements. Growth tiers tend to sit near the lower end, while enterprise tiers with SSO, APIs, and dedicated support push costs higher.

Many buyers add Copilot to bring call context into forecasts, but this is where total per-user costs start to rise quickly.

Clari Groove Pricing

Groove covers sales engagement like sequences, email automation, and dialing. Pricing is not published, but historical data from Groove customers suggests an additional $50–$80 per user per month, depending on functionality and volume.

If you already use an engagement tool, Groove often overlaps during rollout, creating short-term stack inflation.

How Clari Pricing Works in Practice

Clari pricing is shaped by three variables. First is module selection. Core is rarely deployed alone, and Copilot and Groove are commonly added within the first year. Second is company size. 

Larger teams unlock volume discounts but also require more licenses, hierarchy nodes, and admin support. Third is industry complexity. Regulated or enterprise-heavy industries often require longer implementations and deeper customization.

Hidden costs are where many buyers feel surprised. 

Reviews frequently mention professional services fees ranging from $15K to $75K, implementation timelines of 8–16 weeks, and ongoing RevOps time to maintain integrations and forecasting logic. Because pricing is quote-based, renewal discussions can also feel uncertain once Clari becomes embedded in executive workflows.

This is why most experienced buyers stop asking what Clari costs per user and start asking what Clari costs over three years. That shift usually changes how the platform is evaluated.

Evaluating Clari’s Value

Return on Investment with Clari

When Clari delivers ROI, it does so by stabilizing forecasts rather than accelerating sales motion. That distinction matters.

Enterprises using Clari reported a 398% ROI over three years, with payback in under six months. The value came primarily from improved forecast accuracy, fewer missed commits, and tighter alignment between sales and finance. 

On G2, many enterprise customers credit Clari with improving forecast accuracy and executive confidence. 

“Using Clari to streamline my sales forecasting has been extremely helpful. I get quick insights into my quarterly targets and the deals I need to close, and the way Clari classifies deals by forecast category makes everything much easier.”

~ G2 Review

Multiple reviewers mention tighter weekly forecast calls and fewer end-of-quarter surprises once Clari becomes part of the operating rhythm. 

Where ROI becomes less predictable is at the execution layer. Leaders frequently point out that Clari does not fix upstream behavior on its own. If reps update Salesforce late or managers override signals based on instinct, Clari reflects those inputs faithfully. 

Teams that pair Clari with strict cadence, data hygiene, and ownership tend to see strong returns. Teams that expect automation to replace discipline often struggle to justify the cost.

Clari vs Competitors

Clari is rarely evaluated in isolation. Buyers typically compare it with platforms that address adjacent needs.

1. Revenue Grid approaches ROI from a different starting point

Because it is Salesforce-native, activity capture, deal signals, and forecasting happen directly inside the CRM. Public customer stories and reviews consistently point to faster time to value, cleaner data, and lower RevOps overhead. 

Teams using Revenue Grid report a 12% increase in win rates in the first year, driven by earlier visibility into stalled deals and engagement gaps. In committed deals specifically, teams see a 93% increase in average quota attainment, as managers intervene earlier and reps stay focused on the right opportunities.

“Revenue Grid has significantly reduced our manual data entry by automatically capturing all activities into our CRM. This automation allows our team to focus more on building customer relationships rather than administrative tasks. It’s a huge time-saver and keeps our data accurate.”

~ G2 Review

The biggest difference is that ROI is tied to workflow alignment. Reps don’t need to work “around” the tool. As a result, Salesforce adoption itself increases, data quality improves naturally, and payback happens faster. 

2. Gong shows strong ROI in coaching and deal inspection

Customers often credit Gong with improving win rates and messaging quality. The limitation is scope. Gong focuses on conversations, not forecasting end to end, which means many teams pair it with Clari or another forecasting platform. That stacking increases total cost and stretches ROI timelines.

3. Salesloft delivers ROI through outbound productivity

Reviews highlight better rep efficiency and higher activity volume. Forecasting impact is indirect. As a result, Salesloft is rarely a Clari replacement and more often an additional line item. When layered with Clari, ROI depends on how well the tools are integrated and governed.

In practice, Clari delivers the strongest ROI when your primary goal is forecasting discipline at scale. Revenue Grid tends to outperform on ROI when you want forecasting, activity capture, and deal guidance unified inside Salesforce, with lower operational friction and fewer hidden costs.

Why Revenue Grid is a Better Fit When Clari Starts to Feel Heavy

For many teams, Clari delivers value early, then friction builds over time. As forecasting discipline improves, new challenges show up: multiple modules to manage, insights living outside Salesforce, and growing RevOps overhead. This is where many buyers start re-evaluating fit.

Revenue Grid is often mentioned in G2 reviews and Clari comparison threads as an alternative for teams that want less process enforcement and more built-in truth. The core difference is architecture. Revenue Grid operates natively inside Salesforce, so activity capture, deal signals, and forecasting update in real time without API sync delays or separate dashboards.

Users frequently point to faster adoption and quicker ROI. Because reps don’t need to change how they work, data quality improves automatically. Managers see cleaner pipelines, earlier risk signals, and more reliable forecasts without adding manual steps. Pricing is also more predictable, with clear tiers and fewer surprise costs tied to integrations or storage.

If your main challenge with Clari is not forecasting logic but operational drag, Revenue Grid tends to be a better long-term fit.

Book a demo with Revenue Grid

Clari is typically more expensive upfront than point solutions and comparable to bundled enterprise platforms when multiple modules are added. Alternatives like Revenue Grid often offer lower total cost of ownership due to native architecture and reduced admin overhead.

Common hidden costs include long implementation cycles, ongoing RevOps maintenance, Salesforce storage impact from synced data, and higher renewal pricing once adoption expands.

Clari is designed primarily for mid to large enterprises. Smaller teams often find the cost and complexity outweigh the benefits unless forecasting discipline is a critical requirement.

Yes. Clari integrates with Salesforce and other CRMs via APIs. However, it is not CRM-native, which can introduce sync delays and maintenance effort.

ROI improves when teams invest in data hygiene, enforce consistent forecasting cadence, and align behavior with signals. Without that discipline, insights lose accuracy.

Hilal Bakanay
Hilal Bakanay
Senior Content Writer

With over a decade of experience in B2B tech marketing, Hilal is a content writer specializing in consumer technologies like artificial intelligence, natural language processing, conversational AI, and augmented reality. As the co-founder of Why Not Labs, an indie mobile game studio, she also shares insights on mobile game marketing, particularly in the hybrid casual and hyper casual genres.

Related Content

5 Best Fintech CRM Solutions in 2026

Hilal Bakanay
Hilal Bakanay
Senior Content Writer

The 5 Best Revenue Intelligence Platforms for 2026

Hilal Bakanay
Hilal Bakanay
Senior Content Writer
9 min read

Six of the best sales hacks guaranteed to boost engagement

Prioritizing your sales engagement is crucial if you want to get ahead in sales

img-mathilda-ataimewan-blog-author
Mathilda Ataimewan
Storyteller, Copywriter & Content Strategist
9 min read

ICPs vs. buyer personas: what SDRs at B2B SaaS companies need to know

Outreach not converting enough leads? Work on your buyer personas and ICP

img-grace-sweeney-blog-author
Grace Sweeney
B2B content writer & strategist
9 min read

What is a probing question and how to use them

Five probing sales questions that will propel your profits forward

Hilal Bakanay
Hilal Bakanay
Senior Content Writer
9 min read

Hard sell vs soft sell – Which is best for your business?

Batman or Superman, Barcelona or Real Madrid, hard sell or soft sell?

img-victoria-golovtseva-blog-author
Victoria Golovtseva
B2B SaaS Content Writer
9 min read

B2B sales techniques that demonstrate the importance of Social Selling in the Digital Age

B2B customers are digitally savvy. It’s your job to show them that you are, too

img-lavender-nguyen-blog-author
Lavender Nguyen
Core UX Writer at Booking.com
9 min read

How to Refresh Your Sales Strategy with Dynamic Guided Selling

Learn to use guided selling to thrive in the current environment

img-grace-sweeney-blog-author
Grace Sweeney
B2B content writer & strategist
9 min read

Account-based selling and relationship selling: old concepts powered by new technologies

Account-based selling and relationship-based selling are hot topics these days. But—what do these terms actually mean for sales reps?

img-lavender-nguyen-blog-author
Lavender Nguyen
Core UX Writer at Booking.com

Subscribe to our newsletter

We’ll keep you up to date with all things Revenue Grid.

    Subscribe to our newsletter

    loader-rg-2 | Revenuegrid.com
    I have read and agree to the privacy policy

    By providing your information you agree the terms and conditions of this website and our privacy policy.

    close
    expand_less