Marketing KPI Dashboard Guide: The Four Numbers That Matter
More metrics don't produce better decisions if no one reviews them consistently — four numbers, checked weekly, beat twenty glanced at occasionally.
Rohan Alexander · 8 min read · Updated July 2026
Quick Answer
The Four Numbers
| Metric | What it reveals |
|---|---|
| Cost per lead | Efficiency of top-of-funnel acquisition spend |
| Conversion rate (lead to customer) | Lead quality and sales process effectiveness |
| Customer acquisition cost (CAC) | True total cost to acquire a paying customer |
| Customer lifetime value (LTV) | Whether CAC is actually justified by long-term value |
What's Context, Not a Decision-Driver
Impressions, reach, engagement rate, and click-through rate are useful for diagnosing a specific problem once one of the four core numbers looks off, but they shouldn't be the primary weekly review metrics — a business can have excellent reach and engagement while quietly losing money on every customer acquired, if the four core numbers aren't also being watched.
How to Review Them Weekly
Compare each of the four numbers against its own trailing baseline (the past 4-8 weeks), not an arbitrary external benchmark pulled from an industry report — a sharp, unexpected change relative to your own recent history is what actually signals something worth investigating, since "good" varies enormously by business and a generic benchmark rarely applies precisely.
Building a Simple Dashboard
- Pull the four numbers from ad platforms, CRM, and sales data into one place — a simple spreadsheet works fine to start.
- Add a trailing 4-8 week average column next to each current number for comparison.
- Review weekly at a protected checkpoint, not sporadically.
- Add supporting context metrics only when investigating a specific flagged issue, not as a permanent addition to the main view.
Variations by Business Model
| Business model | Adjustment |
|---|---|
| Ecommerce | Add ROAS alongside CAC, since revenue is more directly attributable per order |
| B2B / long sales cycle | Track cost per qualified lead separately from cost per lead overall |
| Subscription | Add churn rate alongside LTV, since it directly determines LTV's accuracy |
Case Study
A small business tracked a dozen different marketing metrics in a complex dashboard that took over an hour to review each week, and reviews became increasingly infrequent as other priorities took over. Simplifying to just the four core numbers, compared against an 8-week trailing average, cut review time to about 10 minutes and actually got done consistently every week — and caught a rising CAC trend within two weeks that the more complex, rarely-reviewed dashboard had missed for over a month.
Decision Matrix
| Situation | Action |
|---|---|
| Dashboard has many metrics but isn't reviewed consistently | Simplify to the four core numbers, review weekly |
| One of the four numbers shifts sharply from its baseline | Investigate using supporting context metrics (CTR, engagement) as needed |
| All four numbers stable and healthy | Maintain the cadence; consider testing incremental scale |
Common Mistakes
- Tracking dozens of metrics, making consistent review impractical.
- Comparing numbers against generic industry benchmarks instead of your own trailing baseline.
- Reviewing sporadically instead of at a protected weekly checkpoint.
- Adding context metrics permanently to the main view instead of only when investigating a flagged issue.
Checklist
☐ Dashboard limited to the four core numbers as the primary view
☐ Trailing 4-8 week baseline included for comparison
☐ Weekly review protected on the calendar
☐ Context metrics used only for investigating flagged issues
FAQ
What KPIs should a small business dashboard track?
Cost per lead, conversion rate, CAC, and LTV — tracked weekly.
Why only four numbers?
More metrics don't produce better decisions if no one reviews them consistently.
How should these numbers be reviewed?
Against your own trailing baseline, not a generic external benchmark.
You can build this dashboard manually using the guidance above.
Zephra tracks these four numbers automatically against your own trailing baseline, flagging unexpected shifts before they compound.
Start Free Audit →Sources & Further Reading
- Harvard Business Review — The Value of Keeping the Right Customers — Frederick Reichheld's (Bain & Company) research on retention's effect on profit, published in HBR.
- Bain & Company — Prescription for Cutting Costs: Loyal Relationships — The original Bain & Company research on the profit impact of customer retention.
- WordStream — 2026 Google Ads Benchmarks Report — Current cross-industry CPC, CTR, conversion rate, and cost-per-lead benchmarks.
Figures and platform mechanics referenced in this guide are cross-checked against the above as of publication; ad platform thresholds and benchmarks change over time, so confirm current figures directly with the source before making budget decisions.