# CMO Marketing Prover MCP > The CMO Marketing Prover forces mathematical discipline onto marketing plans. Stop accepting generic advice like 'better' or 'scale ads.' This MCP evaluates strategies against five required axes: polarizing market positioning, calculating true CAC payback physics, tracking dark social attribution gaps, building intentional funnel friction, and defining a proper brand/performance budget split. ## Overview - **Category:** marketing - **Price:** Free - **Tags:** cmo, marketing, cac, ltv, positioning, dark-social, attribution, brand ## Description Marketing plans often fall apart because the people writing them skip critical steps. Your agent usually gives advice that sounds good but means nothing—like just saying 'be better.' This MCP fixes that by forcing your strategy through five rigorous checks used by top-tier CMOs. It demands you define a clear market category or name an enemy instead of using vague comparisons. Crucially, it models CAC payback physics, ensuring every dollar spent on ads has a mathematically defined return and understands the point where spending starts costing more than revenue. Furthermore, it acknowledges that platform dashboards miss 30-50% of traffic (the 'dark social' part). When you connect this through Vinkius, your agent doesn't just give advice; it returns a verdict: does the plan pass all five axes? If not, you know exactly where the strategy fails. ## Tools ### validate_cmo_marketing Checks a marketing strategy to ensure it covers category positioning, CAC payback physics, dark social attribution, funnel friction, and budget split. ## Prompt Examples **Prompt:** ``` We are better and faster than competitors. We will scale ads. Google Analytics tracks everything. Our funnel is frictionless. 100% budget on paid ads. ``` **Response:** ``` POSITIONING_WEAK — Five fatal gaps: generic positioning, no payback model, platform trust, no friction, no brand investment. ``` **Prompt:** ``` Created 'Revenue Intelligence' category. Enemy: spreadsheet forecasting. CAC $340, LTV $4,200, payback 2.8mo. Self-reported: 38% dark social. Gates: pricing visible, work email, use case. Brand 30%, Performance 60%, Experimental 10%. ``` **Response:** ``` MARKETING_PROVEN — Strategy validated. All five axes pass. Execute. ``` **Prompt:** ``` Our brand awareness is 45% in our target segment but conversion from awareness to trial is only 2.1%. Competitors average 8%. Content is producing 200K monthly impressions. ``` **Response:** ``` Awareness-to-trial gap indicates messaging-market mismatch. Impressions without conversion is vanity content. Audit the gap: is the value proposition clear in 5 seconds? Is the CTA friction-free? Test 3 positioning variants against conversion, not impressions. ``` ## Capabilities ### Assess market positioning strength Forces a marketing plan to define a specific category or name a competitor, moving beyond vague claims of being 'better.' ### Model cost payback period Calculates the true relationship between Customer Acquisition Cost (CAC), Lifetime Value (LTV), and how long it takes to recoup spending while accounting for diminishing returns. ### Integrate non-platform traffic sources Adjusts marketing plans by weightings self-reported data, podcasts, and community referrals that platform dashboards ignore. ### Implement lead qualification barriers Adds intentional steps—like visible pricing or work email requirements—that filter out low-quality leads before they hit the sales team. ### Validate budget allocation strategy Ensures marketing funds are correctly split across Brand building, direct Performance campaigns, and Experimental testing channels. ## Use Cases ### The annual budget review meeting A VP of Marketing needs to justify a $5M budget increase. They feed their current plan into the MCP, which immediately flags 'BUDGET_MISALLOCATED' because they only proposed 90% performance spend and zero brand investment, forcing them to build in long-term trust spending. ### Launching a new product line A Product Marketing Manager needs to define the market. They use the MCP to move past 'better/faster' claims and successfully establish a unique category name, which passes the positioning check and validates their go-to-market strategy. ### Optimizing paid ad spend A Growth Lead suspects their CAC is too high. Running the plan through the MCP forces them to model LTV against current spending, pinpointing the exact diminishing return threshold where they're losing money on every new customer. ### Improving lead quality The Sales Ops team knows their leads are too weak. They use the MCP to implement intentional funnel friction—like requiring a work email and specific use case dropdown selection—to immediately qualify prospects before they reach sales reps. ## Benefits - Stops vague positioning. Instead of claiming you're 'better,' the tool forces you to create a defensible category or name a clear enemy, making your market position concrete. - Moves beyond simple ad spending. You calculate CAC payback physics and identify diminishing returns thresholds, stopping cash burn before it happens. - Corrects for blind spots. It integrates dark social attribution, ensuring you account for 30-50% of traffic coming from word-of-mouth or communities that platform dashboards miss. - Filters out time-wasters. By adding intentional funnel friction—like visible pricing—you ensure your sales team only spends time on qualified leads, not tire-kickers. - Forces balanced spending. It validates the three required budget splits (Brand, Performance, Experimental), preventing you from putting 100% of funds into short-term demand harvesting. ## How It Works The bottom line is you get a mathematically rigorous pass/fail report on your marketing plan, not just encouraging words. 1. Feed your current marketing plan details into the MCP. 2. The tool runs a structured reflection against five required industry axes: positioning, CAC physics, dark social gaps, funnel friction, and budget split. 3. You receive an immediate verdict that grades the strategy—passing or failing specific axes like 'CAC_PHYSICS_BLIND' or 'POSITIONING_WEAK'. ## Frequently Asked Questions **How does the CMO Marketing Prover handle brand awareness?** It doesn't treat 'brand awareness' as a goal; it forces you to allocate budget for Brand (30-40%) and prove its role in long-term memory alongside performance spending. **Does the CMO Marketing Prover work with all my marketing data?** It specifically accounts for platform attribution while making sure you weigh self-reported data (from surveys) to capture dark social traffic that dashboards miss. **What is CAC payback physics in this MCP?** This refers to the calculation of Customer Acquisition Cost (CAC) against Lifetime Value (LTV), ensuring your plan accounts for diminishing returns and how quickly you pay back every dollar spent. **Is the CMO Marketing Prover just for enterprise companies?** No. It's a fundamental framework. Any company that needs to justify spending money based on measurable return will benefit from its structured validation process. **Can I use validate_cmo_marketing if I don't have LTV data?** It requires you to model it. The MCP forces the input of key metrics like CAC and LTV to calculate payback periods, making assumptions mandatory.