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Campaign Touch Point Credit Tool

Allocate conversion value to one touch point using an explicitly supplied attribution fraction, without choosing an attribution model.

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Description

Multiply nonnegative conversionValue by attributionFraction in [0, 1] for attributedValue.

Lift compares an observed outcome with a reference, while a response curve describes an assumed relationship. Neither arithmetic difference alone establishes causal impact.

Multiply nonnegative conversionValue by attributionFraction in [0, 1] for attributedValue.

When to use this tool

Use Campaign Touch Point Credit when you need a supplied uplift or response-curve term.

How to use the tool and how it works

  1. Enter conversionValue, attributionFraction. 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 attributedValue. Use the output convention below.

Multiply nonnegative conversionValue by attributionFraction in [0, 1] for attributedValue.1

Input fieldMeaning and unitsAccepted input
conversionValueConversion ValueRequired. Finite number; minimum 0.
attributionFractionAttribution FractionRequired. Finite number; minimum 0; maximum 1.
Output fieldInterpretationReturned shape
attributedValueAttributed ValueRequired. Finite number.
json
{
  "input": {
    "conversionValue": 120,
    "attributionFraction": 0.25
  },
  "output": {
    "attributedValue": 30
  }
}

Limitations and assumptions

  • The attribution fraction is supplied rather than estimated; this does not establish a touch point's causal effect or allocation across other channels.
  • 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.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Use a suitable experimental or observational design and report uncertainty and model assumptions with impact estimates.

References

  1. Calculation and input contract: marketing/campaign-touch-point-credit — tool.io

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