End of analysisNext steps and reference material below. Not part of the analysis result.
Next step
This week
Full journey
What should I look at first in a campaign CSV?
Compare the recent window with the prior one and pick one change.
Method and FAQOpen only when you need the methodology
See the review order and interpretation rules
When to use it
Use it for weekly reviews, mid-month pacing checks, and sudden CPA changes—whenever you first need to know what changed. Date, cost, and an outcome column are enough to start; revenue and retention columns unlock the ROAS and cohort tabs.
What to inspect
Compare the recent window with the prior one in the scorecard, check remaining budget and burn rate in pacing, and find days outside the usual range in anomaly detection. Funnel, cohort, LTV, and seasonality tabs slice the same CSV differently rather than requiring new data.
How to act
When a channel or campaign moves sharply, hand the cause analysis to campaign variance and the budget decision to saturation and allocation. The dashboard decides where to look; why it happened and how much to move belong to the next tool.
Frequently asked questions
Can I use it without a revenue column?
Yes. Cost and one outcome column (installs, signups, purchases) are enough for CPA, trends, and anomaly detection. Mapping revenue additionally unlocks ROAS and LTV views.
Is my uploaded data stored on a server?
No. Parsing and aggregation run in your browser, and source rows are never transmitted or retained.
Does an anomaly flag confirm a problem?
No. It only marks a value outside the usual range. Promotions, seasonality, and tracking changes produce the same signal, so confirm the cause with variance analysis or an experiment.