Engagement Impact Score (EIS)
Engagement Impact Score, or EIS, measures whether meaningful engagement is happening at scale, not just among a loyal few.
Combine your Engagement Quality Score with Engaged Reach. That is EIS: is meaningful engagement happening at scale? It matters because quality and volume can each fake success alone: a handful of superfans, or a million shrugs. EIS only rises when both climb.
Signal Type
Metric Role
Metric Type
The Formula
Worked example
Benchmarks and interpretation
Where the number actually comes from
When to use it
Common Mistakes
In the REACT framework
EIS is REACTIQ360 proprietary. Read it with EQS as a diagnosis: high quality with low EIS is a distribution problem. High reach with low quality is a content problem. It tells you whether to fix the work or fix the reach.
Related metrics
Frequently Asked Questions
What is Engagement Impact Score?
Engagement Impact Score, or EIS, measures whether meaningful engagement is happening at scale, not just among a loyal few. It confirms whether strong engagement quality is actually happening at scale.
How do you calculate Engagement Impact Score?
Use the formula: EIS = EQS × Engaged Reach. Keep both inputs in the same reporting period and avoid mixing users, sessions, events, or customers unless the formula calls for it.
What data do you need for EIS?
You need engaged reach and platform-adjusted eqs, pulled from the relevant connected sources and computed for the same period.
What mistakes should you avoid with EIS?
Do not chase EIS through volume alone: buying reach onto weak content lifts nothing. And do not celebrate quality from a tiny audience, which is exactly the trap EIS exists to catch.
When should marketers use EIS?
Use EIS when deciding whether the fix is creative or distribution. High EQS with low EIS says the work resonates but not enough people see it. The reverse says reach is fine and the content is not landing.
What is a good EIS?
EIS reads on a 0 to 10 gauge and is best judged against your own trend. Good is a score rising because both quality and audience are growing, not because one spiked.
Sources and methodology. EIS formula and definition derive from standard marketing analytics practice and platform reporting conventions. REACTIQ360 harmonises source data from Platform APIs, Content taxonomy, Harmonisation layer and applies a consistent same-period computation methodology.
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