The revenue operations software market has grown into a $10B+ category by convincing SaaS teams that they need specialized tools for every sub-function. CRM. Sales engagement. Conversation intelligence. Revenue intelligence. Forecasting. Compensation management. Contract lifecycle. Each tool has a compelling demo. Few deliver their full claimed value.
The RevOps stack that actually earns its cost:
CRM (non-negotiable): Salesforce or HubSpot for most teams. The CRM must be the single source of truth. This means discipline in maintaining it, not just the technology.
Sales engagement (selective): for outbound-heavy teams, a sequencing tool like Outreach or Apollo is justified. For inbound-heavy PLG teams, it's often overkill — the investment goes to maintaining cadences that your sales motion doesn't need.
Conversation intelligence (ROI-positive if actually used): Gong or Chorus provide real value for coaching and pattern recognition, but only if leadership actually reviews calls and uses the data. Unused conversation intelligence is expensive storage.
Revenue forecasting (often redundant with good CRM hygiene): most revenue forecasting tools are solving problems that good CRM data management and a Google Sheets model would solve at 10% of the cost. If your CRM data is clean, you don't need a separate forecasting tool.
Where the overspend typically lives:
ABM platforms at full enterprise price: most mid-market teams use 15-20% of the platform capability. A lighter LinkedIn Ads + CRM-based targeting approach achieves similar results at lower cost.
Data enrichment at full base coverage: enriching only your active pipeline (20% of your database) vs. your entire database (100%) reduces data costs by 80%.
Multiple analytics tools with overlapping function: companies often have Looker, Tableau, Google Data Studio, and product analytics all running simultaneously. Consolidate.
Rationalize quarterly. Keep what moves metrics. Cut what generates reports.