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Source Health

Know when your numbers are ready to trust.

Adynamite makes reporting readiness visible so teams can catch stale, partial, or missing data before it distorts a decision.

marketing data source healthsync statusstale marketing datadata readiness

Numbers ready to trust

Reporting readiness by source

Demo UI

Meta Ads

18 accounts - fresh

Ready

Snapchat Ads

4 accounts - fresh

Ready

Google Ads

9 accounts - 3 min ago

Fresh

GA4

1 property incomplete

Partial

Search Console

3 properties - provisional today

Fresh

Shopify

Orders through today

Ready

Merchant Center

Feed issues detected

Review

Report context

Weekly view refreshed

Ready

What it helps you do

Move from signal to decision.

Avoid bad reports

See when ad, analytics, conversion, commerce, feed, and reporting context is fresh, partial, stale, unavailable, or missing before sharing numbers.

Focus reviews

Know which accounts are ready and which need attention.

Explain gaps

Give the team a plain-language reason when a number should not drive a decision yet.

Why it matters

The decision gets easier when the evidence is visible.

A report can look polished and still be wrong. Data readiness protects the weekly review from late, missing, or incomplete numbers.

How it works

  1. 01Check every connected data area and account.
  2. 02Show readiness states in the reporting and analysis workflow.
  3. 03Flag missing or incomplete context before reports are shared.
  4. 04Let Copilot include readiness context when answering questions.

Data it works with

Connection statusLast refresh timeAccount coverageMissing fieldsPartial rowsReport dependencies

Who uses it

Analysts
Agency account leads
Media buyers
Growth leads

Example workflow

A realistic way teams use it.

Before the Monday report

Confirm which parts of the marketing context are ready to trust before interpreting performance.

During analysis

See if an answer is based on complete, partial, or stale context.

Client review

Explain why a metric is delayed or excluded instead of hiding the gap.

FAQ

Questions teams ask before they try it.

Why does data readiness matter?

Because late or incomplete numbers can create the wrong action.

What states are shown?

Common states include ready, fresh, partial, stale, unavailable, and missing.

Can Copilot use this context?

Yes. Readiness context helps Copilot avoid overconfident answers.

See this workflow in Adynamite.

Start a trial or book a demo to map the workflow to your accounts, team, and reporting rhythm.