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FREE TEMPLATE / EVIDENCE-BASED

Score the signals.
Keep the uncertainty.

Use a repeatable worksheet to summarize list health, spot risky domains, track invalid trends, and choose the next cleanup action without turning a snapshot into a guarantee.

Template · Observed evidence only · No false certainty
How to use this: Complete one row per assessment window. Keep the source file ID and assessment date beside every score so a future reader can reproduce the decision.

Scorecard fields

SignalRecordWhy it matters
Observed healthValid ÷ unique rowsShows the share that met the verification criteria at that time.
Risk signalsInvalid + unknown + suppression matchesKeeps actionable and unresolved evidence visible instead of hiding it in one number.
Domain concentrationTop domains by risky rowsHelps identify a domain-specific issue worth reviewing.
TrendCompare with the prior assessmentShows whether cleanup changed the observed mix.
Suggested score language

“Observed health: 86% valid in this assessment window.” Add the date, file ID, and unknown share. Do not say “deliverable,” “inbox-safe,” or “guaranteed.”

Four-step worksheet

01

Capture the baseline

Write down the file name, file ID, row count, unique count, assessment date, and the verification result mix.

02

Separate the evidence

Keep valid, invalid, unknown, duplicate, and suppressed rows distinct. Duplicates are a hygiene signal, not a deliverability verdict.

03

Find concentration and change

Sort risky rows by domain and compare against the previous run. Look for repeated invalid clusters or a rising unknown share.

04

Assign the next action

Remove or suppress confirmed invalids, review unknowns, investigate domain clusters, then re-check the changed segment.

Recommended cleanup actions

Prioritize confirmed invalids and suppression matches, review high-risk domains, preserve unknowns for a separate decision, and record what changed before the next assessment.

Questions about the score

What is a deliverability health score?+

It is a transparent summary of observed list signals such as valid, invalid, unknown, duplicate, and suppressed rows. It is not a promise of inbox placement.

Which inputs should I record?+

Record the assessment date, total unique rows, result counts, risky domains, suppression matches, and the source list or file ID. Keep the evidence window visible.

How should I treat unknown results?+

Keep unknown results separate from valid and invalid. They indicate incomplete evidence and should lead to a review or cautious follow-up, not a confident send decision.

How often should I update the score?+

Update it after each meaningful verification pass and compare the same list over time. A trend is more useful than one isolated percentage.

Continue the evidence trail

THE PRACTICE

MAKE THE SIGNAL
EASIER TO TRUST.

Good reporting makes the evidence—and its limits—easy to see.

CHECK LIST HEALTH See methodology