Monthly Marketing Report Skeleton template.

What's inside — the exact file

This is the complete template, not a sample. The rows are worked examples — replace them with your data (and delete them before any platform import).

What this template is for

Most marketing reports are forty screenshots of platform dashboards that answer no executive's actual question. This skeleton is the opposite: one row per month with the numbers leadership actually reads — sessions, leads, SQLs, closed-won, revenue influenced, top channel — plus two text columns that matter more than the metrics: what changed, and next month's bet.

The filled example row shows the discipline: real numbers, a one-sentence explanation of the month's movement, and a falsifiable bet for next month. Twelve rows of this is a marketing narrative any board can follow — and any new hire can catch up from in ten minutes.

How to use it, step by step

1. Automate the number columns where possible. Sessions from analytics, leads and SQLs and revenue from the CRM. If gathering the numbers takes more than an hour, fix the plumbing — the report's value is the thinking, not the collection.
2. Report the funnel, not the platforms. Sessions → leads → SQLs → closed-won is one story with conversion rates between every stage. Platform-level details belong in the appendix (and in our attribution reconciliation sheet), not the headline.
3. Write 'what changed' as a causal sentence. 'Leads up 20% — the Zendesk pricing guide started ranking and the plan finder converts its traffic' is a report. 'Leads: 120 (+20%)' is a data point. The sentence is the analysis.
4. Make next month's bet falsifiable. 'Double down on comparison content' is a strategy; 'publishing two comparison pages should lift organic leads 10%' is a bet you can score next month. Scored bets are how a team learns what it actually knows.
5. Review last month's bet every month. The first agenda item is whether last month's bet paid. This single habit converts the report from a rearview mirror into a decision instrument.
6. Keep every row forever. Month twelve's report is written in ten minutes because months one through eleven exist. Seasonality, compounding, and slow-building channels are only visible in the long row history.

What each column means

Common mistakes to avoid

• Reporting form fills as 'leads' — the CRM count after dedup and junk filtering is the honest number, and the gap between the two is itself worth knowing.
• Changing the revenue_influenced definition month to month, which makes the trend line fiction — define once, note the rule, change it only with an annotation.
• Skipping the text columns under time pressure — the numbers say what happened; only the sentences say why, and the why is what the report is for.
• Reporting only in good months. The streak of consecutive rows is the credibility of the whole document.

Questions, answered

What does 'revenue influenced' mean exactly?

Whatever you define it to mean — consistently. Common rules: revenue from deals whose first touch was marketing, or deals where any tracked marketing touch occurred. Pick the rule your attribution data can actually support, write it in the notes, and never silently change it.

Shouldn't we just use a live dashboard instead?

Dashboards show numbers; this report forces interpretation — the causal sentence and the scored bet are things no dashboard produces. The strongest setup is both: dashboards for monitoring, this one-row-per-month document for narrative and accountability.

Why track top channel by CRM attribution instead of platform reports?

Because platforms over-claim (see our attribution reconciliation template — the two documents feed each other). The CRM's source attribution is the single version of truth this report should stand on; platform numbers inform tactics within each channel.

This is a Market Disrupt worksheet, not a vendor file. Import-format templates follow each platform's documented layout as of July 2026 — platforms evolve, so validate against current documentation before a large import.