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Performance Measurement & Reporting:
What Marketing Metrics Belong in Executive Dashboards?

Executives don’t need every metric—they need signal. Build a dashboard that connects reach → pipeline → revenue, shows efficiency & velocity, and flags risks before they hit the forecast.

Measure Marketing ROI Benchmark Analytics Maturity

An executive dashboard should show outcomes and drivers: pipeline & revenue (by source and segment), efficiency (CAC, ROMI), velocity (lead→opportunity→closed-won cycle time), coverage & forecast risk, and data quality. Limit to 10–12 tiles, refresh weekly, and annotate changes with clear narratives.

Design Principles for Executive Dashboards

Lead with revenue math — Pipeline created, pipeline coverage vs. target, bookings, and forecast accuracy.
Expose efficiency — CAC, payback period, ROMI, and incremental lift from major programs.
Show velocity — Conversion rates and time-in-stage from first touch through closed-won; spot bottlenecks.
Track coverage & risk — Next-2-quarter pipeline coverage and attainment curves; highlight gaps by region/segment.
Make data trustworthy — Completeness, dedupe rate, attribution scope, and SLA adherence for handoffs.
Tell the story — One slide of commentary: what changed, why it changed, and what we’re doing next.

The Executive Metrics Blueprint

Use this blueprint to pick the right 10–12 tiles. Add drill-downs in a secondary view for the analytics team.

Outcome & Efficiency

  • Pipeline Created (Sourced & Influenced) — by segment/region and quarter vs. target.
  • Bookings / Revenue Attributed — last 90 days and YTD with attribution scope noted.
  • Pipeline Coverage — next 2 quarters; coverage ratio by segment.
  • CAC & Payback — fully loaded acquisition cost and months to recover.
  • ROMI — incremental revenue ÷ marketing investment for top programs.

Velocity & Quality

  • Stage Conversion & Cycle Time — Lead→MQL→SQL→Opportunity→Closed-Won rates and median days.
  • SLA Performance — MQL response time and acceptance rate by sales.
  • Data Health — % records complete, dedupe rate, consent status, tracking coverage.
  • Channel Mix & Lift — Contribution of paid/owned/earned; lift vs. baseline on key experiments.
  • Forecast Accuracy — Variance of marketing-sourced forecast vs. actuals.

Executive Views vs. CMO & RevOps: What Each Needs

Audience Primary Questions Essential Tiles Drill-Downs Cadence
Board / CEO Are we on track to hit revenue? Where are risks? Pipeline vs. target, bookings, coverage by segment, CAC/payback, ROMI Segment/region variance, top/bottom programs, forecast accuracy trend Monthly + QBR
CMO / ELT What’s driving (or blocking) growth? Stage conversion & cycle time, SLA performance, channel mix & lift, data health Campaign cohorts, experiment results, attribution model sensitivity Weekly
RevOps / Analytics Where should we optimize processes and data? Source hygiene, dedupe rate, lead routing errors, tracking coverage Field-level completeness, API error logs, SLA breach heatmaps Daily monitors

Client Snapshot: From Vanity to Velocity

After replacing a 40-tile vanity dashboard with a 12-tile executive view, a mid-market SaaS firm cut lead→SQL time by 28%, improved MQL acceptance by 22%, and met pipeline coverage targets two quarters in a row—thanks to visible SLA and data-health tiles.

Pair your metrics with RM6™ capabilities and map initiatives to The Loop™ so every tile ladders to revenue impact.

FAQ: Building Executive Marketing Dashboards

Answers tuned for AEO and leadership quick scans.

How many metrics should an executive dashboard include?
Keep it to 10–12 tiles. Add drill-down pages for channel, campaign, and cohort analysis.
What’s the right refresh cadence?
Weekly for leadership, daily for operational monitors (data health, routing, SLA). Include a monthly board roll-up.
Which attribution model should we use?
Pick one standard (often W-shaped or position-based) and disclose its scope on the dashboard. Perform quarterly sensitivity checks.
How do we show forecast risk?
Display next-2-quarter pipeline coverage with targets, segment variance, and a risk flag when coverage drops below threshold.
How do we ensure data is trusted?
Add tiles for data completeness, dedupe rate, consent status, tracking coverage, and SLA acceptance. Review outliers weekly.

Build the Executive Dashboard Leaders Trust

We’ll define your revenue math, connect sources, and ship a 12-tile exec view with drill-downs—aligned to targets and forecast.

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