Performance data
Validate periods, fields, attribution limits and creative mapping.
The Signalitize method
The method is designed to improve decision quality—not manufacture confident explanations from incomplete advertising data.
Illustrative interface — synthetic data
The operating loop
Each stage creates an explicit artifact or decision. The process repeats only after new test evidence exists.
Validate periods, fields, attribution limits and creative mapping.
Describe what changed, where the signal appears and how reliable it is.
Choose the few questions worth spending the next budget to answer.
State the expected mechanism without presenting it as proven causation.
Translate the test into hook, opening, proof, format, CTA and controls.
Execute only the approved variations with human QA.
Define the primary metric, guardrails, comparison and decision rule.
Record the result and update the creative memory for the next cycle.
Evidence discipline
A useful decision pack makes the boundary visible so a media buyer can defend the recommendation—and know what still needs investigation.
What objectively changed in the available evidence.
Which reported metrics mathematically moved with the outcome.
A plausible hypothesis—clearly marked as uncertain.
What the media buyer or brand should examine next.
The controlled creative decision to put into market.
Evidence quality assessment
Prioritize specific controlled creative hypotheses.
Use cautious patterns and wider guardrails.
Do not make the claim. Fix evidence or run a learning test.
One account. One decision cycle.
The synthetic sample pack shows the transition from evidence quality to observations, hypotheses, briefs and a controlled test matrix.