Who this is for
- RevOps leaders cleaning up fragmented GTM systems.
- Teams with inconsistent field mapping, ownership, or data governance.
- Organizations that need more credible attribution and executive reporting.
Services
Revenue Operations & Data Strategy
Create the data structure, governance, and reporting logic that makes GTM systems trustworthy.
Common problems
- Field mapping is inconsistent across CRM, automation, and adjacent tools.
- Account and contact matching logic creates duplication or weak ownership.
- Enrichment and routing standards are unclear.
- Attribution and reporting are difficult to defend internally.
- Leadership lacks confidence in the data behind pipeline decisions.
What's included
- Field mapping and data structure review.
- Data governance and ownership recommendations.
- Account and contact matching logic guidance.
- Enrichment approach and routing standards.
- Attribution model recommendations.
- Executive reporting and measurement guidance.
Engagement options
- Project-based RevOps and data strategy support.
- Focused architecture engagements for routing, governance, or reporting.
- Ongoing advisory support for operational refinement and leadership reporting.
Pricing
- Project: $5,000-$15,000
- Ongoing advisory: $3,000-$6,000/month
Expected outcomes
- More trustworthy CRM and automation data.
- Better governance and cleaner routing decisions.
- Clearer executive visibility into performance and pipeline influence.
- A stronger operating foundation for ABM, intent, and campaign work.
FAQ
A useful RevOps audit should review data structure, field mapping, routing, ownership, lifecycle standards, reporting logic, and the operational friction blocking execution.
Yes. While the core platform focus is ZoomInfo, Demandbase, and HubSpot, supporting work often spans Salesforce and Microsoft Dynamics 365.
No. Many engagements are about improving trust and consistency inside an existing stack rather than replacing it.
Related insights
Practical reading for this service area.
These articles explain how the same operating-model issues show up in intent data, AI, ABM, CRM workflows, and pipeline measurement.
Intent Data
AI Is Finally Making Intent Data Usable
AI is helping B2B teams turn fragmented intent signals into prioritized accounts, smarter workflows, and measurable pipeline action.
→ Read the related articleIntent Data
What Intent Data Activation Actually Requires
Intent data is only valuable when it moves into CRM, workflows, sales context, and measurable revenue action.
→ Read the related articleCommon platform environments
This work is typically executed across CRM, ABM, marketing automation, and intent data platforms. Most environments we support include combinations of Salesforce, Microsoft Dynamics 365, HubSpot, Marketo, ZoomInfo, 6sense, Demandbase, Bombora, and related systems.
Our approach is designed to integrate with your existing stack rather than force a specific toolset.
Related platform paths