A Pragmatic Framework for the CMO Dashboard
I first became familiar with the problem of vanity-metric overload more than ten years ago when I picked up Lean Analytics. The book warned that page views, social followers, and assorted “likes” could feel rewarding while concealing deep performance issues. Experience has confirmed that warning again and again: the larger the spreadsheet, the harder it is to see the story that matters.
The three most common problems:
- Everything is measured because everything can be measured. Tools spit out volumes of data with zero marginal cost, so teams paste every export into the deck.
- No one owns the noisy metrics. When a number lacks a clear owner, it rarely changes behavior, which means it rarely changes results.
- Executive debate drifts to trivia. Meetings open with topline revenue, then slide into explaining a 3% swap in mid-funnel impressions, leaving little time for pricing or positioning moves that decide the quarter.
Before a figure earns space on the exec dashboard, it must satisfy three conditions:
- Material: A meaningful swing changes cash flow, risk profile, or strategic position.
- Actionable: The CMO can assign a name, a budget, and a deadline to improve it.
- Non-overlapping: No other tile on the dashboard tells the same story.
If a metric fails any of these tests, it belongs in a functional or channel report, not the board slide.
I personally like grouping the essentials by growth lever – considering a total of six levers (but you may need only five if your company is not product-led; drop the last one in that case).
#1 Acquisition Efficiency core metrics: Blended CAC; CAC Payback Months
This card reveals how much it costs to buy a customer and how fast that cash returns.
#2 Unit Economics core metrics: LTV; LTV:CAC
This card ensures the company does not scale negative economics. A 3:1 ratio is the common rule of thumb for LTV:CAC ratio before pouring fuel on acquisition.
#3 Capital Efficiency core metrics: MER; GP (Gross Profit)
MER shows revenue per marketing spend in business models heavy on paid media. GP shows whether revenue produces cash that can be reinvested.
#4 Revenue Velocity core metrics: MRR / ARR Growth%; AOV or ARPU (pick one)
Growth rate measures how fast things are accelerating. AOV or ARPU answers “How much value is created per economic unit?”.
**Use AOV for transactional (basket) business models, ARPU for subscriptions.
#5 Retention & Expansion core metrics: NRR (Net Revenue Retention); (optional) Churn Rate
NRR blends churn and expansion into one figure.
***Churn, despite what so many growth gurus say, is actually a less powerful metric than NRR; include it only if board insists.
#6 Product Activation core metric: TTFV (Time-to-First-Value)
Early indicator of long-term cohort health; if users reach value fast, retention soars later.
*Non-PLG companies can drop this one.
11 metrics at most, 9 if your model is simple. Anything else is diagnostic and should remain a level down.
One screen, no scroll: a single slide or monitor forces ruthless prioritization. If you need to zoom or swipe, you already have too many numbers.
One owner per metric.
LTV and GP shift slowly. Update those two once per quarter to avoid micro-debates on noise. Faster metrics like CAC update weekly or even daily.
Set alert automations: dashboards should ping owners when thresholds are breached instead of waiting for the next meeting.
Complexity feels sophisticated, yet complexity often hides the real problem. The next time someone suggests adding another KPI, pause and ask: does it meet the tests of materiality, actionability, and uniqueness? If not, leave it in the channel report. Your profit margin will thank you.
