Revenue operations software

Revenue Operations Software for B2B Teams

Compare revenue operations software for CRM data, forecasting, call insights, compensation, workflow coordination, and pipeline visibility.

Revenue operations software helps sales, marketing, and customer teams work from more consistent data and processes. The useful starting point is a specific operational problem, such as unreliable pipeline stages, forecast gaps, or fragmented activity data.

This collection brings together CRM, revenue intelligence, conversation intelligence, compensation, and workflow tools that can support a revenue-operations stack. It does not replace a RevOps consultant or job service.

Compare software

Revenue operations tools to compare

Review these options by the operational data they improve, the handoffs they support, and the reporting decisions they make easier.

Salesforce

CRM / pipeline

from $25/user/mo

Enterprise CRM and sales platform. Built for Enterprise teams.

HubSpot Sales Hub

CRM / inbound sales

CRM, sales automation and engagement. Built for SMB–Mid-market teams.

Clari

Forecasting

Revenue orchestration, forecasting and pipeline. Built for Mid-market–Enterprise teams.

Gong

Conversation AI

Revenue intelligence and conversation analytics. Built for Mid-market–Enterprise teams.

People.ai

Revenue intelligence

Revenue activity capture and intelligence. Built for Enterprise teams.

Scratchpad

Pipeline

from $25/user/mo

Sales pipeline management for Salesforce teams. Built for SMB–Mid-market teams.

QuotaPath

Commissions

from $25/user/mo

Sales commission tracking and analytics. Built for SMB–Mid-market teams.

Spiff

Commissions

Sales compensation management. Built for Mid-market–Enterprise teams.

Xactly

Commissions

Enterprise incentive compensation. Built for Enterprise teams.

Make

Automation

Visual automation platform. Built for SMB–Enterprise teams.

Zapier

Automation

No-code app automation. Built for SMB–Enterprise teams.

Cien

Revenue intelligence

AI-driven sales productivity and revenue intelligence. Built for Mid-market–Enterprise teams.

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Comparison criteria

What to evaluate before you choose

Define one operational source of truth

Clarify where account, opportunity, activity, and forecast data should live before selecting more software.

Fix handoffs before dashboards

Map the ownership and required context between marketing, sales, and customer teams so reporting reflects real work.

Use metrics with shared definitions

Agree on stages, attribution, forecast categories, and compensation rules before comparing performance across teams.

Sales resources

Read before you compare

Use these guides to define the workflow and evaluation criteria before you add another tool to the stack.

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