Best Revenue Operations Software 2026: 14 Tools Compared
Best Revenue Operations Software 2026: 14 Tools Compared
Shortlist
Quick Answer

Revenue Operations software pricing ranges from Free to $150 per user per month in 2026. The category average is $12/user/month. 2 of 14 tools offer free tiers.

Quick Picks

Best Value

Aviso AI

From Free/user/month

Best Free Tier

Crossbeam

Free plan available

Most Feature-Rich

BoostUp.ai

Up to $150/user/month

Full Comparison Matrix

Product Starting Price Popular Tier Enterprise Free Tier Best For
Aviso AI Custom Custom Custom No Revenue teams that need a tailored Aviso AI proposal across forecasting, conversation intelligence, agentic AI, relationship intelligence, customer success, and sales engagement use cases
Highspot Custom Custom Custom No Organizations laying foundation for AI-powered go-to-market
InsightSquared Custom Custom Custom No Mid-market and enterprise sales teams needing deep pipeline analytics
Revenue.io Custom Custom Custom No Sales teams that primarily need a power dialer with basic AI coaching
Crossbeam Free /forever Free /forever Free /forever Yes -
Clari RevOps Custom Custom Custom No -
Gong Forecast Custom Custom Custom No -
LeanData Custom Custom Custom No -
Outreach (RevOps) Custom Custom Custom No -
Fullcast Custom Custom Custom No -
6sense Revenue AI Custom Custom Custom No -
HubSpot RevOps Free /mo $7 /mo $50 /mo Yes -
Revenue Grid $30 /user/month $49 /user/month $149 /user/month No -
BoostUp.ai $79 /user/month $110 /user/month $150 /user/month No Small to mid-size sales teams starting with revenue intelligence and forecasting

Category Summary

14

Products

$8

Avg Starting

$12

Avg Popular

2

Free Tiers

Revenue Operations Pricing FAQ

01 What is the best Revenue Operations software?

The best revenue operations software depends on your team size and requirements. See our rankings for recommendations.

02 How much does Revenue Operations software cost?

Revenue Operations software typically ranges from free tiers to enterprise pricing based on features and scale.