How to Audit an Ad Revenue Report Without Guessing
Check date coverage, map CSV fields, calculate ratios from totals and separate observations from hypotheses.
Read guide →Practical, source-linked explanations
Guides for interpreting publisher ad reports
Worked examples explain what a metric says, what it cannot prove and which checks to make before changing a site or monetization setup.
Page RPM Explained: Formula, Example and Limits
Calculate page RPM from matching earnings and pageviews, then interpret it alongside traffic.
Read guide →How to Forecast Ad Revenue Without False Precision
Build low, central and high scenarios without treating estimated earnings as guaranteed.
Read guide →CTR, CPC and RPM: What Each Metric Actually Measures
Understand the denominator behind each metric before comparing reports.
Read guide →How to Diagnose a Publisher Revenue Drop
Separate traffic and RPM arithmetic effects, then investigate page-level evidence.
Read guide →Page RPM vs Impression RPM: Why the Denominator Matters
A concrete example showing why the two metrics answer different questions.
Read guide →How to Check an Advertising CSV Before Trusting the Totals
A workflow for date ranges, blank values, duplicates, units and weighted ratios.
Read guide →How to Plan a Publisher Revenue Goal from Measured RPM
Turn a target into a traffic requirement and scenario range using observed data.
Read guide →How to Interpret Ad Impressions per Pageview
Use the ratio as a reporting clue—not a goal to add more advertising.
Read guide →Editorial approach
These guides focus on specific publisher-reporting tasks and show formulas or repeatable checks rather than promise an outcome. Numerical examples are labeled as illustrative. When a metric definition depends on the platform, the guide links to that platform’s documentation. See the editorial policy and calculation methodology.