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Conversion Cohort Support Count Tool

Calculate conversion cohort support count from explicit caller-supplied inputs.

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Description

Count observed cohort records and their conversions.

Business timing and cohort summaries depend on event origins, bucket boundaries and the treatment of incomplete records. A time difference or bucket label is a supplied record convention rather than proof of customer behavior, completed service or future retention.

Count observed cohort records and their conversions.

When to use this tool

Use Conversion Cohort Support Count when checking the stated business timing or cohort convention.

How to use the tool and how it works

  1. Enter inCohort, observed, converted. Follow any array-alignment requirements below. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read supported, conversions. Use the output convention below.

Count observed cohort records and their conversions. Require aligned Boolean arrays; supported counts inCohort AND observed, conversions additionally requires converted.1

Input fieldMeaning and unitsAccepted input
inCohortIn CohortRequired. Array of boolean; maximum items 256.
observedObservedRequired. Array of boolean; maximum items 256.
convertedConvertedRequired. Array of boolean; maximum items 256.
Output fieldInterpretationReturned shape
supportedSupportedRequired. Safe integer.
conversionsConversionsRequired. Safe integer.
json
{
  "input": {
    "inCohort": [
      true,
      true,
      false
    ],
    "observed": [
      true,
      false,
      true
    ],
    "converted": [
      true,
      true,
      true
    ]
  },
  "output": {
    "supported": 1,
    "conversions": 1
  }
}

Limitations and assumptions

  • Rows are not deduplicated and no rate is returned; flags do not establish actual observation, cohort identity or causal conversion.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.

Alternative or Complementary methods

Use complete event records and a defined cohort/period policy; evaluate commercial performance and uncertainty with appropriate complete analyses.

References

  1. Calculation and input contract: business-analytics/conversion-cohort-support-count — tool.io

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