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TG3 SaaS / Insights / SaaS marketing metrics
The KPIs that predict revenue

SaaS marketing metrics: the KPIs that actually matter.

Most SaaS marketing dashboards measure activity, not outcomes. Here are the SaaS marketing metrics that predict revenue and the popular ones worth deleting.

T3
By the TG3 SaaS Practice
Published 10 June 2026
Category Metrics
1
The filter

What makes a SaaS marketing metric worth tracking.

One test. Does the number predict revenue or just describe activity? Pageviews, impressions and email opens describe activity. Marketing-sourced pipeline, CAC payback and net revenue retention predict revenue. If a metric cannot change a decision, it is decoration. Delete it.

2
The keepers

The SaaS marketing metrics that predict revenue.

A short list beats a long one. Marketing-sourced and influenced pipeline. CAC and CAC payback, measured by channel not blended. MQL to SQL acceptance rate, which tells you if marketing and sales agree. Trial to paid for product-led teams. And net revenue retention, because acquisition you cannot keep is a leaky bucket.

Report in ARR, not leads

The fastest way to lose a board is a slide full of MQLs. Translate everything into pipeline and ARR. That is the language the people funding you actually speak.

3
The vanity list

SaaS marketing metrics to stop reporting.

Raw lead volume, unless tied to acceptance. Email open rate, which Apple privacy changes already broke. Social followers. Total traffic with no intent split. None of these survive the does-it-predict-revenue test and reporting them trains everyone to optimise the wrong thing.

4
Attribution

SaaS marketing metrics are only as good as the attribution under them.

A perfect KPI on broken attribution is a confident lie. If your channel numbers do not reconcile to booked revenue, fix the plumbing before you trust the dashboard. One source of record, assumptions written down, totals that add up to reality.

5
The cadence

How often to review your SaaS marketing metrics.

Monthly for the scoreboard, weekly for the leading indicators that move it. Same definitions every time. The moment you quietly redefine an MQL to make a chart look better, the dashboard stops being a tool and starts being a story.

T3
Author
The TG3 SaaS Practice
Written by the practice. Edited by [Practice lead name].

TG3's SaaS practice has worked with 47 B2B SaaS companies between $800K and $42M ARR over 11 years. We publish what we'd write if a peer asked us at a conference. No ghostwriting. No PR-cleared platitudes. If a post lands well, the editing team gets the credit. If it lands wrong, we'll say so in the next one.

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