Performance Measurement: Connecting Marketing to Sales to Revenue

The decisive test for any metric: would my decision change because of it? A metric that changes no decision is visual entertainment.

1. Read the whole funnel

Measure the transition between every pair of stages, not the final outcome alone:

impression → visit → lead → qualified lead → opportunity → paying customer → retained customer

The value is that a single problem at a single stage can corrupt everything after it. A drop in paying customers may be caused by weak qualification rather than weak advertising — and a wrong diagnosis spends budget in the wrong place.

Calculate the conversion rate between each consecutive pair, and watch the trend monthly.

2. Leading versus lagging indicators

Lagging indicators tell you what happened: revenue, customer count, share. Important but late — by the time they appear, the moment to act has passed.

Leading indicators predict: first conversations, proposals issued, new pipeline volume, response speed, stage-to-stage conversion.

Track leading weekly and lagging monthly. The practical difference: a leading indicator gives you weeks to correct.

3. Attribution

• Consistent source tags on every link, under a unified naming convention rather than individual improvisation.
• Ask the customer directly how they heard about you, at signup or in the first conversation. The simplest instrument and the most neglected — and its value has risen as technical tracking accuracy has declined.
• Know the model's limits: first-touch attribution overstates discovery channels, and last-touch overstates closing channels. Use both and understand each one's bias.
• Don't chase perfect accuracy. The general direction is enough to make a decision; pursuing a perfect figure costs more effort than it's worth.

4. Cohort analysis

Compare groups of customers by the month they joined rather than looking at the aggregate. This reveals:

• Are recent months' customers retaining better than earlier ones? (An improvement in product or qualification.)
• Does their value rise over time?
• Does customer quality differ by channel?

Aggregates hide deterioration, because growth in numbers can mask declining quality. Cohorts expose it.

5. Marketing metrics worth tracking

• Cost per qualified lead by channel.
• Customer acquisition cost by channel, inclusive of salaries.
• Customer quality by channel: conversion and retention rather than volume.
• Share of organic demand in the total — an indicator of brand strength and growth sustainability.

6. Sales metrics

• Pipeline volume against target.
• Close rate and average deal value.
• Sales cycle length and its trend.
• Categorised loss reasons — the most valuable information in sales and the most neglected: price, product, timing, a competitor, or a lead that was never qualified?

7. Dashboard design

• One page, ten metrics at most.
• Trend, not snapshot: every metric with its history, not just its current value.
• A written definition for each metric, its data source, and its owner.
• Comparison against plan, not against the prior month alone.
• A fixed rhythm, with reviews ending in written decisions rather than observations.

Common mistakes

• Measuring engagement instead of revenue.
• Relying on lagging indicators alone.
• Looking at aggregates without cohort analysis.
• Relying on a single attribution model without understanding its bias.
• Inconsistent source tags.
• Neglecting to categorise loss reasons.
• A dashboard with thirty metrics that produces no decision.
• Changing definitions without declaring it.

Checklist

• A defined funnel with stages and conversion rates
• Leading indicators tracked weekly
• Source tags under a unified naming convention
• A direct question about how customers found you
• Monthly cohort analysis
• Cost and quality per channel
• Categorised loss reasons
• A one-page dashboard with written definitions
• Periodic reviews ending in documented decisions

FAQ

What is the most important marketing metric?
Customer acquisition cost against customer value — and the direction matters more than the figure.

How do I measure content?
By the demand it generates rather than readership: leads produced, growth in searches for your name, and its effect on shortening the sales cycle.

Do I need advanced tools?
Not at the start. A disciplined spreadsheet with clear definitions beats an advanced tool fed disorderly data.