A protocol for measuring the gap between an opt-out event and suppression in each sending system.
Research question and scope
This protocol examines suppression propagation. It reports what a defined record can show in one window and does not claim an industry rate or a causal effect.
Population and unit of analysis
The unit is one opt-out event across connected tools. Keeping one unit prevents linked events from being counted as independent successes or failures.
Definitions and measures
The main measure is the time until the contact is suppressed everywhere. Report the denominator and time window beside every count so the result is not read as a bare percentage.
Evidence and data dictionary
Collect the opt-out source, tool timestamps, and contact identity. Label missing, unavailable, and confirmed negative as separate states rather than collapsing them into a blank.
Sampling and collection
The sample is opt-out events observed for two weeks. Record the observation date and exclude items that were already open before the window begins.
Analysis and reporting
Present propagation time by tool pair and contact type. Separate seller behavior from tool behavior whenever the evidence allows that distinction.
Limitations and sources of error
Limits include manual overrides and identity mismatches. State them beside the finding and avoid turning a small operational sample into a universal standard.
Review cadence and next action
The practical next step is to close the slowest propagation gap first. Re-test a later sample after the change so the review produces a decision, not just a report.