Services

ABM Data & Targeting Strategy

ABM Data & Targeting Strategy is a strategy engagement that defines the data foundation an ABM program runs on: how target accounts are selected, enriched, and structured in the CRM, and how buying committees get mapped. It is for teams whose ABM ambitions have outrun the quality of their account data.

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PhaseStrategy
EngagementProject
DisciplineAccount-Based Marketing (ABM) Strategy

The problem this solves

An ABM program is only as good as its account list, and most lists are a spreadsheet someone built once from gut feel. Accounts lack the firmographic and intent data needed to tier them, buying committee contacts are missing or stale, and the CRM has no structure that distinguishes a target account from any other company record. Plays end up targeting the wrong people at the wrong accounts, and reporting cannot show account-level progress at all.

How we work

We start with selection logic: which fit signals actually predict a winnable account in your market, which intent data sources are worth paying for, and which are noise at your market size. This is where honest trade-off calls get made, because data spend scales fast.

Then we design the operational layer: enrichment approach and refresh cadence, a buying committee coverage model defining which roles must be identified per account, and the CRM structures to hold it all: target account flags, tier properties, lists, and account views in HubSpot.

Governance closes the loop: who owns list changes, how accounts enter and exit the program, and how the data stays fresh so the program does not quietly decay after the first quarter.

Deliverables

  • Account selection and scoring criteria
  • Intent and enrichment data source recommendations with trade-offs
  • Buying committee coverage model
  • CRM data structure design: target account properties, lists, views
  • List governance rules: entry, exit, refresh cadence
  • Reporting requirements for account-level visibility

FAQ

What buyers ask before scoping.

Do we need to buy intent data?

Not necessarily. Intent data earns its cost in broad markets where you need help spotting in-market accounts; in narrow markets where you can name most of your targets, fit data and first-party signals usually matter more. The strategy makes that call explicitly for your situation instead of defaulting to another subscription.

How does this land in HubSpot specifically?

As concrete structures: target account designation, tier and status properties, buying role assignments on contacts, active lists per tier, and the views sales works from. Every element of the strategy maps to something a HubSpot admin can build, which is what makes it executable rather than aspirational.

Our account data is a mess. Should we clean it first?

Messy data is normal input for this work, not a blocker. The strategy defines exactly which data needs to be clean for the program to run, which scopes the cleanup to what matters instead of a portal-wide purge. For deeper structural issues we pair this with the data quality modules.

Brief first, scope follows

Sounds like your situation?

30 minutes, your calendar, no slide deck. We tell you honestly whether this module fits.

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