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The Marketing Analytics Every CMO Actually Needs (And What to Ignore)

The Problem: Marketing Teams Drowning in Dashboards


You’re staring down your Monday morning dashboards. Site traffic is up 12%. Email opens are holding steady. MQLs increased, but sales still isn’t happy. Again.


It’s not that you don’t have data. You have plenty of it. The problem is that what’s being measured often doesn’t map to what matters: Account engagement, true buying behavior, and pipeline contribution.


Most early-scale B2B teams (150–500 employees, $10M–$40M ARR) are still stuck optimizing lead forms, paid social CTRs, and content download counts — while trying (and failing) to break into enterprise markets.


It’s not your fault. Most analytics dashboards are either:

  • Built around leads instead of accounts

  • Not strategically built with revenue strategies in mind

  • Lacking direction in terms of how your business measures success


Here’s a better way: a focused analytics model that maps marketing activity to the account journey — so you can track real progress, not vanity noise.



What Actually Matters: 5 Metrics That Should Run Your Week


If you’re a VP of Marketing, these five views should be your sacred dashboard tabs:


1. Engaged Target Accounts

Accounts that show repeated behavior aligned to actual purchasing signals — think multiple visitors, high-value content views, return traffic, or G2 surges. Use tools like 6Sense or Demandbase to correlate that activity.


> Why it matters: Early buying signals don’t show up in your CRM. They show up here.


2. Pipeline Velocity Within ICP

Forget total pipeline. Track how fast revenue potential moves — but only for your named accounts in your actual market. Segment by stage and vertical.


> Why it matters: If pipeline is growing but stuck in Stage 2 forever, you don’t have a demand problem — you have a deal acceleration problem.


3. Reach & Coverage Across Buying Committees

Measure how many accounts you’re truly covering — and how many key buying committee members (economic buyer, champion, users) are actually engaging.


> Why it matters: ABM without buying group coverage is like hosting a dinner party and only sending one invite.


4. Sales Activation & Follow-Up Rates

Even the best MQA's or intent pings die if reps don’t act. Track which accounts triggered alerts and whether sales followed up within 48 hours.


> Why it matters: Engagement without orchestration leads to wasted airdrops of marketing dollars.


5. Influenced Revenue by Campaign & Channel

No, we don’t mean last-touch attribution. Instead, look at whether strategic campaigns (like a 1:Few ABM initiative) touched deals that progressed or won.


> Why it matters: You should know what content and programs are moving deals, even if they didn't convert on a form.



Anchor Analytics to Business Questions

Instead of starting with what the platforms spit out, start with the questions the business needs answered. For most marketing leaders, those sound like:


  1. Are we creating quality pipeline?

    • Metrics: Marketing-sourced pipeline, Qualified Accounts to Qualified Opportunities conversion, opportunity acceptance rates.

  2. Are we expanding in the right accounts?

    • Metrics: Account engagement across tiers, opportunity penetration within target accounts, expansion pipeline.

  3. Are we efficient with our spend?

    • Metrics: CAC (customer acquisition cost), payback period, program-level ROI.

  4. Are we accelerating deals?

    • Metrics: Velocity of opportunities influenced by marketing, stage-to-stage conversion rates, deal cycle length.


When you ground analytics in these core questions, you’ll always have an answer that resonates with the CRO and CFO.


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If you’re not sure how to start, or you’ve got great tools (hi, 6Sense) collecting dust, let’s talk. We’ll run a fast diagnostic and show what matters — and what doesn’t.


Book a strategy call with me and I'll share how I structure my Dashboards and more importantly, the insights that we get from them. https://calendly.com/deanna-dgmarketing


 
 
 

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