Subscription Churn After Price Rise Percent

Audit observed cancellation dates in a fixed caller exposed cohort and explicit post-price window; no subscriber additions denominator, causal attribution to price rise, complete follow-up guarantee or predicted future churn.

Description

Cohort churn uses a fixed exposed subscriber set.

Cohort churn uses a fixed exposed subscriber set. An observation window needs clear inclusive and exclusive endpoints.^[1]

Enter aligned nonempty unique cohort IDs/cancellation dates or empty, real effective date and later exclusive end date. Return matching IDs, rate and cohort size.

When to use Subscription Churn After Price Rise Percent

Use Subscription Churn After Price Rise Percent when you need to evaluate the supplied records under the calculation and evidence rules below. Dates use exact Gregorian YYYY-MM-DD in1900–2199. No subscriber-addition denominator, causal price effect or complete follow-up is inferred.

Prepare the actual editorial, source, layout, timing or audience records requested. Supply explicit house-policy limits and preserve missing evidence.

How to use Subscription Churn After Price Rise Percent and understand its results

Prepare the actual editorial, source, layout, timing or audience records requested. Supply explicit house-policy limits and preserve missing evidence.
Enter exposedSubscriberCohortIds, priceIncreaseEffectiveDate, callerExclusiveObservationEndDate, observedCancellationDatesOrEmpty using the field table and calculation rules, then run the tool.
Read withinWindowCancelledSubscriberIds, observedCohortChurnPercent, cohortSize. The explanation below defines the units, signs, ordering and any flags or placeholder values.
If the tool reports an input issue, correct the values and run it again. Apply the stated assumptions when interpreting a successfully returned result.

Input field	Meaning	Value type; see rules below	Requirement
exposedSubscriberCohortIds	Exposed subscriber cohort ids	list of string	Required
priceIncreaseEffectiveDate	Price increase effective date	string	Required
callerExclusiveObservationEndDate	Caller exclusive observation end date	string	Required
observedCancellationDatesOrEmpty	Observed cancellation dates or empty	list of string	Required

Enter aligned nonempty unique cohort IDs/cancellation dates or empty, real effective date and later exclusive end date. Return matching IDs, rate and cohort size.

churn%=100×cancellations in [effectiveDate,endDate)/cohortSize

Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.

Output field	Meaning	Value type
withinWindowCancelledSubscriberIds	Within window cancelled subscriber ids	list of string
observedCohortChurnPercent	Observed cohort churn percent	number
cohortSize	Cohort size	number

json

{
  "input": {
    "exposedSubscriberCohortIds": [
      "a",
      "b",
      "c"
    ],
    "priceIncreaseEffectiveDate": "2025-01-01",
    "callerExclusiveObservationEndDate": "2025-02-01",
    "observedCancellationDatesOrEmpty": [
      "2025-01-10",
      "",
      "2025-02-01"
    ]
  },
  "output": {
    "withinWindowCancelledSubscriberIds": [
      "a"
    ],
    "observedCohortChurnPercent": 33.333333333333336,
    "cohortSize": 3
  }
}

Limitations and assumptions

Dates use exact Gregorian YYYY-MM-DD in1900–2199. No subscriber-addition denominator, causal price effect or complete follow-up is inferred.

Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Numeric lists are limited to 10,000 entries; string lists to 128 strings of at most 128 characters each. The rules above may impose smaller limits. Extremely large text inputs are rejected. Missing required fields, extra fields, wrong value types and violations of the calculation rules are input errors.

Alternative or Complementary methods

Use Pitch Accept Rate Percent Freelance Calculator: Acceptance among decided pitches excludes pending and withdrawn records. Missing decisions should remain visible. For a complementary task, use Newsletter Send Time Open Rate Optimum Lookup: Observed newsletter open rates depend on delivered cohorts and filtered human opens. A minimum evidence floor can exclude small cohorts.

References

Subscription Churn After Price Rise Percent — tool.io

Similar or alternative tools

Pitch Accept Rate Percent Freelance Calculator
Acceptance among decided pitches excludes pending and withdrawn records. Missing decisions should remain visible.
Newsletter Send Time Open Rate Optimum Lookup
Observed newsletter open rates depend on delivered cohorts and filtered human opens. A minimum evidence floor can exclude small cohorts.