Quick answer
Build reporting in layers: business outcomes, funnel stages, channel diagnostics and actions. Keep the executive view small and move detailed platform metrics into supporting views.
A report is successful when it changes a decision, not when it contains every available metric.
What I would check first
I would ask what decisions the report is supposed to support, who owns those decisions and which outcomes the business can verify. Then I would check whether definitions match across Ads, Analytics, CRM and sales records.
I would also look for metrics that are routinely included but never acted on. Those usually belong in an appendix or should be removed.
Decision framework
Use one primary business objective, a small set of leading indicators and a diagnostic layer. For lead generation, that might be qualified leads and customer value, supported by conversion rate, response speed and channel quality.
Choose comparison windows that match the business cycle. Week-over-week can be noisy for low-volume accounts; monthly or rolling windows may be more useful.
Real-world example
A local service business may care about booked jobs, qualified enquiries, close rate and customer value. Clicks, impressions and form submissions explain movement, but they should not replace the operational outcomes.
The report can then show whether a weak month came from demand, website friction, tracking or sales follow-up.
Implementation steps
Write a metric dictionary, define source-of-truth fields, create an executive scorecard, add diagnostic views and include an actions log with owner and due date.
Keep annotations for launches, budget changes, tracking fixes and website releases so performance changes have context.
Common mistakes
Avoid changing definitions mid-quarter, mixing platform attribution without explanation, celebrating volume without quality and sending reports with no recommendation.
Do not build a dashboard that nobody opens. A simpler report used consistently beats a complex report ignored.
Measurement and business implications
Evaluate reporting by decision speed, data trust, action completion and business outcome improvement. The report itself should have a purpose and an owner.
Use the audit checklist, GA4 measurement plan, Ads-versus-Analytics guide and budget tools to establish the underlying definitions.