This assessment evaluates marketing capability across six dimensions: brand strategy, demand generation, content operations, analytics and measurement, marketing operations, and customer engagement. It is designed for CMOs, VPs of Marketing, and marketing directors who need a structured diagnostic of their marketing function's current state. The output identifies specific capability gaps and routes to targeted improvement playbooks. [src1]
What this measures: How well the organization has defined, differentiated, and operationalized its brand across all customer touchpoints.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | No documented brand guidelines; messaging inconsistent across channels | No brand book; each team creates its own messaging |
| 2 | Emerging | Basic brand guidelines exist but not enforced; positioning is founder-driven | Brand deck exists but dated; sales creates own materials |
| 3 | Defined | Clear positioning, documented guidelines, and brand governance process | Updated brand book; brand council; consistent visual identity |
| 4 | Managed | Brand tracked with awareness metrics; competitive positioning regularly updated | Brand tracking surveys; win/loss analysis includes brand factors |
| 5 | Optimized | Brand drives measurable pipeline impact; brand equity quantified | Brand-to-demand attribution; earned media monitored |
Red flags: Inconsistent messaging across website, sales deck, and ads; no documented value propositions; brand guidelines older than 2 years. [src1]
Quick diagnostic question: "Can three different team members describe your positioning the same way?"
What this measures: The maturity of inbound and outbound demand creation, from lead acquisition through pipeline contribution.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | Demand gen is reactive; no systematic lead generation | No MQL definitions; no lead scoring; marketing does not own pipeline targets |
| 2 | Emerging | Basic inbound running; MQL definition exists but not enforced | 1-2 active channels; MQL volume tracked but not quality |
| 3 | Defined | Multi-channel demand gen with MQL/SQL handoff process | 3-5 active channels; SLA with sales; funnel dashboards |
| 4 | Managed | Predictable pipeline from diversified channels; attribution in place | Multi-touch attribution; channel-level ROI; marketing-sourced pipeline >40% |
| 5 | Optimized | AI-augmented demand gen; real-time optimization; integrated ABM+inbound | Predictive lead scoring; intent data; marketing-sourced pipeline >50% |
Red flags: Marketing cannot report pipeline contribution; no lead scoring model; dependency on a single channel. [src5]
Quick diagnostic question: "What percentage of sales pipeline is marketing-sourced, and can you break down CAC by channel?"
What this measures: The ability to systematically plan, produce, distribute, and measure content across the buyer journey.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | Content created reactively on request; no editorial calendar | No content calendar; content requests via email/Slack |
| 2 | Emerging | Editorial calendar exists; some content mapped to funnel stages | Monthly blog cadence; 1-2 content types |
| 3 | Defined | Content strategy aligned to buyer journey; multi-format production | Documented strategy; content mapped to personas and stages; 4+ formats |
| 4 | Managed | Content performance measured by pipeline impact; SEO-driven planning | Content attribution to pipeline; keyword-driven editorial planning |
| 5 | Optimized | AI-assisted content production; personalization at scale | AI tools for creation; dynamic personalization; content ROI reported |
Red flags: Content team is "order takers" for sales; no measurement beyond pageviews; content older than 18 months still live without review. [src4]
Quick diagnostic question: "Do you have a documented content strategy tied to buyer personas, and can you measure content's impact on pipeline?"
What this measures: The sophistication of marketing measurement, from basic reporting through predictive analytics and attribution.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | No marketing dashboard; metrics pulled manually | Reporting takes days; no single source of truth |
| 2 | Emerging | Basic dashboards exist; vanity metrics dominate | GA4 configured but underutilized; focus on impressions/clicks |
| 3 | Defined | Funnel metrics dashboard; first/last-touch attribution in place | Centralized dashboard; MQL-to-opportunity tracked; monthly reviews |
| 4 | Managed | Multi-touch attribution; marketing mix modeling; experimentation framework | MTA platform; A/B testing program; incrementality testing |
| 5 | Optimized | Predictive analytics; real-time optimization; ML-driven budget allocation | Predictive pipeline models; automated bid management; causal inference |
Red flags: Marketing cannot answer "What is our CAC?" within 24 hours; no attribution model; reporting cadence is quarterly or less. [src2]
Quick diagnostic question: "What attribution model do you use, and can you report marketing ROI by channel within a week?"
What this measures: The operational infrastructure — processes, technology stack, data management, and team enablement — that powers marketing execution.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | No MAP; manual processes for email, lead routing | No marketing automation; campaigns in spreadsheets |
| 2 | Emerging | Basic MAP implemented but underutilized; email automation only | MAP handles email only; no lead scoring; <20% features used |
| 3 | Defined | MAP fully utilized; lead lifecycle defined; data hygiene process | Lead scoring active; lifecycle stages in CRM; quarterly data cleansing |
| 4 | Managed | Integrated martech stack; revenue operations alignment | MAP-CRM-analytics integrated; RevOps function; martech utilization >60% |
| 5 | Optimized | AI-augmented operations; composable martech architecture | AI in lead routing; CDPs for unified profiles; martech ROI measured |
Red flags: MAP utilized at <30% of capability; no dedicated marketing ops person; CRM data quality below 70% accuracy. [src3]
Quick diagnostic question: "What percentage of your MAP's capabilities do you actively use, and do you have a dedicated marketing ops role?"
What this measures: How well marketing engages customers beyond acquisition — retention, advocacy, expansion revenue support, and customer experience.
| Score | Level | Description | Evidence |
|---|---|---|---|
| 1 | Ad hoc | Marketing stops at acquisition; no post-sale programs | No customer newsletter; no advocacy program |
| 2 | Emerging | Basic customer communications; NPS/CSAT surveys running | Quarterly newsletter; annual NPS; 3-5 case studies |
| 3 | Defined | Customer marketing programs active; review generation; segmented comms | Customer marketing role; G2/Trustpilot program; segmented nurtures |
| 4 | Managed | Lifecycle marketing integrated with CS; advocacy program | Health scoring informs marketing; ABM for expansion; customer community |
| 5 | Optimized | Predictive churn marketing; personalized lifecycle journeys | ML-driven churn triggers; NRR >120% with marketing contribution tracked |
Red flags: Marketing team cannot name top 10 customers; zero budget for customer marketing; no advisory board or community. [src6]
Quick diagnostic question: "What percentage of your marketing budget and team is dedicated to post-acquisition customer engagement?"
Overall Score = (Brand × 1.0 + Demand Gen × 1.5 + Content × 1.0 + Analytics × 1.25 + Ops × 1.25 + Customer × 1.0) / 7.0| Overall Score | Maturity Level | Interpretation | Recommended Next Step |
|---|---|---|---|
| 1.0 - 1.9 | Critical | Marketing is reactive with no systematic processes; significant risk of wasted spend | Start with marketing ops foundations — MAP, basic analytics, MQL definitions |
| 2.0 - 2.9 | Developing | Basic infrastructure in place but underutilized; marketing operates in silos | Focus on demand gen process, analytics dashboards, and sales-marketing alignment |
| 3.0 - 3.9 | Competent | Solid foundation; marketing contributes to pipeline but optimization opportunities exist | Optimize with multi-touch attribution, content measurement, advanced automation |
| 4.0 - 4.5 | Advanced | Marketing is a predictable revenue engine; data-driven decisions across channels | Fine-tune with predictive analytics, AI augmentation, composable martech |
| 4.6 - 5.0 | Best-in-class | Marketing drives competitive advantage; fully integrated with revenue operations | Maintain through continuous innovation and AI-first operations |
| Weak Dimension (Score < 3) | Fetch This Card |
|---|---|
| Brand Strategy & Positioning | Review go-to-market strategy and positioning framework |
| Demand Generation | Demand Generation Channel Assessment |
| Content Operations | Review content strategy and operations playbook |
| Analytics & Measurement | Marketing Metrics Benchmarks |
| Marketing Operations | Marketing Tech Stack Assessment |
| Customer Engagement | Review customer marketing and lifecycle playbook |
| Segment | Expected Average Score | "Good" Threshold | "Alarm" Threshold |
|---|---|---|---|
| Seed/Series A (1-50 employees) | 1.8 | 2.5 | 1.2 |
| Series B-C (51-200 employees) | 2.7 | 3.5 | 2.0 |
| Growth/Scale-up (201-1000) | 3.4 | 4.0 | 2.5 |
| Enterprise/Public (1000+) | 3.9 | 4.3 | 3.0 |
[src1]
Fetch when a user asks to evaluate their marketing function's overall health, diagnose why marketing is not delivering pipeline, prepare for a board-level review, or plan a marketing transformation initiative. Also useful when a new CMO joins and needs a baseline assessment.