This assessment evaluates the maturity of an account-based marketing program across five dimensions: account selection and ICP definition, content personalization and engagement, sales-marketing alignment, measurement and attribution, and buying group orchestration. It is designed for VP Marketing, demand gen leaders, and ABM managers who need to diagnose whether their ABM program is generating real pipeline impact or just running account-targeted campaigns. The output identifies specific maturity gaps and routes to improvement playbooks. [src1]
What this measures: The rigor and data-driven nature of how target accounts are identified, scored, tiered, and maintained.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | No formal ICP; target list is sales wish list based on company size alone | List from sales opinions; no data sources; no tiering |
| 2 | Emerging | Basic ICP with firmographic criteria; static account list not scored | ICP doc with revenue/industry; 100-500 accounts on spreadsheet; no intent data |
| 3 | Defined | Data-driven ICP using firmographic + technographic + intent; scored and tiered | 3+ data source scoring model; Tier 1/2/3 allocation; quarterly ICP review |
| 4 | Managed | Predictive ICP with ML; real-time intent triggers; buying committee mapped | Predictive scoring; real-time monitoring; contacts identified per account |
| 5 | Optimized | Self-refining ICP learning from win/loss; dynamic expansion; lookalike modeling | ML auto-adjustment; dynamic account discovery; buying group coverage tracked |
Red flags: Account list not refreshed in 6+ months; ICP is a one-paragraph description; no intent data integrated. [src2]
Quick diagnostic question: "How do you decide which accounts to target, and when did you last remove accounts that no longer fit your ICP?"
What this measures: The depth of content and messaging personalization for target accounts.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | No account-specific content; same campaigns for everyone; ABM = targeted ads | Generic content; only {company_name} merge; one-size landing pages |
| 2 | Emerging | Industry-level personalization; some content by vertical or size | 3-5 industry variants; basic ad personalization; generic email body |
| 3 | Defined | Tier-based: custom for Tier 1, industry for Tier 2, programmatic for Tier 3 | Custom landing pages for T1; industry journeys for T2; web personalization active |
| 4 | Managed | Multi-channel journeys by account stage; content by buying committee role | Persona-specific content per role; orchestrated sequences; engagement scoring |
| 5 | Optimized | AI-driven personalization at scale; real-time recommendations; 1:1 experiences | AI content engine; dynamic website; personalized microsites for top accounts |
Red flags: All accounts get same email nurture; no web personalization; personalization limited to name/company. [src3]
Quick diagnostic question: "If a Tier 1 target account visits your website today, will they see anything different from a random visitor?"
What this measures: How well sales and marketing operate as a unified team on target accounts.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | Sales and marketing independent; no shared account view; mutual blame | No shared list; marketing on MQLs, sales on quota; no alignment meetings |
| 2 | Emerging | Shared account list; some coordination; MQA handoff exists | Shared spreadsheet; monthly alignment; MQA process inconsistently followed |
| 3 | Defined | SLA between teams; shared dashboards; account engagement visible to both | Written SLA; shared CRM dashboard; weekly account reviews; 67% better closing |
| 4 | Managed | Single KPI contract; coordinated orchestration; sales uses marketing content | Joint dashboard; bi-directional play triggering; sales consumes account intelligence |
| 5 | Optimized | Unified revenue team; AI-assisted orchestration; shared comp incentives | Revenue team with shared comp; AI next-best-action; 2-3x higher win rates |
Red flags: Marketing and sales can't agree on account list; no SLA exists; sales doesn't know which accounts marketing engages. [src2]
Quick diagnostic question: "Do sales and marketing share a single target account dashboard, and when did you last jointly review engagement data?"
What this measures: The ability to measure ABM impact on pipeline, revenue, and ROI.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | No ABM-specific measurement; campaign metrics only | Vanity metrics only; no account-level tracking; pipeline contribution unknown |
| 2 | Emerging | Basic account engagement tracked; pipeline exists but attribution unclear | Account engagement scores; target account pipeline reported but not attributed |
| 3 | Defined | ABM metrics framework: engagement, velocity, win rate, deal size; account attribution | Monthly dashboard; target vs non-target comparison; account-level ROI |
| 4 | Managed | Multi-touch account attribution; ABM ROI vs other channels; velocity impact quantified | Account-level multi-touch; ABM vs non-ABM velocity; deal size premium tracked |
| 5 | Optimized | Predictive analytics; AI conversion forecasting; incrementality testing | Predictive scoring; A/B incrementality; ABM influences 73%+ of revenue |
Red flags: ABM reports impressions/clicks not pipeline; no ROI stated; no target vs non-target comparison. [src6]
Quick diagnostic question: "Can you tell me pipeline value, win rate, and deal size for ABM vs non-ABM accounts in the last two quarters?"
What this measures: The ability to identify and orchestrate outreach to the full buying committee within target accounts.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | Lead-based model; single contacts; no buying group awareness | One contact per account; single-person outreach; MQL funnel applied to ABM |
| 2 | Emerging | Multi-contact tracking started; roles being identified; still individual engagement | Multiple contacts tagged; role tagging started; contacts engaged independently |
| 3 | Defined | Buying committee mapped for Tier 1 (5-7 roles); group-level engagement; multi-thread | Buying group template; group engagement scores; multi-thread to champion + buyer |
| 4 | Managed | Coverage gaps closed proactively; role-specific journeys; group engagement predicts outcomes | Coverage analysis; persona sequences; group score predicts progression |
| 5 | Optimized | AI-powered buying group discovery; automatic stakeholder identification; orchestrated engagement | AI identifies stakeholders; automated coverage alerts; 2-3x win rates from focus |
Red flags: One contact per account; no buying committee concept; outreach to single person regardless of deal size. [src3]
Quick diagnostic question: "For your top 10 accounts, how many buying committee contacts have you identified and engaged in 90 days?"
Overall Score = (Account Selection x 1.2 + Personalization x 1.0 + Sales Alignment x 1.2 + Measurement x 0.8 + Buying Group x 0.8) / 5.0| Overall Score | Maturity Level | Interpretation | Recommended Next Step |
|---|---|---|---|
| 1.0 - 1.9 | Critical | ABM in name only — targeted campaigns without strategy, alignment, or measurement | Establish ICP, build shared list, implement account engagement tracking |
| 2.0 - 2.9 | Developing | Emerging with account focus but lacks alignment, personalization, or ROI proof | Build SLA; implement tier personalization; establish ABM metrics dashboard |
| 3.0 - 3.9 | Competent | Solid program proving pipeline impact; ready to scale and optimize | Focus on buying groups, predictive scoring, multi-touch attribution |
| 4.0 - 4.5 | Advanced | Proven revenue driver with strong alignment; optimize with AI and prediction | AI-driven scoring, automated buying group discovery, incrementality testing |
| 4.6 - 5.0 | Best-in-class | Primary revenue engine; only 13% of companies reach this level | Maintain innovation; pioneer AI-native ABM; attract talent through thought leadership |
| Weak Dimension (Score < 3) | Fetch This Card |
|---|---|
| Account Selection & ICP | ICP Definition Framework |
| Content Personalization | ABM Content Personalization Playbook |
| Sales-Marketing Alignment | Sales-Marketing Alignment Framework |
| Measurement & Attribution | ABM Metrics Framework |
| Buying Group Orchestration | Buying Group Strategy Playbook |
| Segment | Expected Average Score | "Good" Threshold | "Alarm" Threshold |
|---|---|---|---|
| Series A-B (first ABM) | 1.7 | 2.3 | 1.2 |
| Series C-D | 2.6 | 3.3 | 2.0 |
| Growth / Late-stage | 3.3 | 3.8 | 2.5 |
| Enterprise / Public | 3.7 | 4.2 | 3.0 |
Fetch when a user asks to evaluate ABM program effectiveness, diagnose why ABM isn't generating expected pipeline, prepare for ABM expansion or technology investment, benchmark ABM maturity against industry standards, or decide whether to shift from lead-based to account-based marketing.