Article
A RevOps checklist for GTM data confidence
Data Hygiene for Enterprise Data Management

You run revenue systems that depend on trust in the data. When that trust drops, routing breaks, scoring slips, reporting drifts, and execution slows. Data hygiene stops being a cleanup task and becomes a revenue control point.
That shift matters more now because your go-to-market motion runs across more systems, more signals, and more stakeholders. According to Forrester’s State of Business Buying, 2024, 13 people are involved in the average B2B buying decision, and 89% of purchases involve two or more departments. Your data model needs to support buying groups, not isolated leads.
If you own RevOps, data hygiene and enterprise data management set the floor for every downstream workflow. This checklist helps you pressure test that foundation and fix the weak points before they affect pipeline, conversion, or forecast quality.
The RevOps checklist for GTM data confidence
Latest Articles

Article
Turning account engagement into buying momentum with Custom Audiences
Account engagement rarely fails from lack of activity. It fails when you see activity at the account level but miss who is driving it, how interest is spreading, and when to act. That gap slows follow-up, weakens targeting, and leaves pipeline exposed.
If you want stronger account engagement, you need more than account coverage. You need Custom Audiences built from buying-team signals. That gives you a way to move from broad account reach to coordinated influence across the people who shape a deal.
That shift matters because B2B buying is already group-driven. According to 6sense research, 92% of B2B purchases involve groups of three or more people. A lead-centric model misses that reality. Your targeting should reflect the full buying team.

Article
From static segments to living audiences: why custom audiences and technographics now drive intent marketing
Your market does not stand still. Your audience should not either.
Yet many revenue teams still build outreach around static lists, old firmographic filters, and one-time TAM exercises. That model breaks fast. Accounts shift priorities. Buyers move roles. Tech stacks change. Intent rises and fades.
If you still treat segmentation as a reporting task, you miss the point. In outbound TAM development, segmentation works best when you frame it as enablement. It gives sales and marketing a shared way to act on change.
That is wherecustom audiences and technographics start to matter. Together, they help you move from fixed segments to living audiences that reflect what is happening inside target accounts right now.



