Rogers Diffusion Adopter Categories Percent Split
Convert five cumulative adopter-category cutoffs into category shares, defaulting to a common diffusion split.
Description
Cumulative adopter cutoffs must be differenced to obtain category shares.
Cumulative adopter cutoffs must be differenced to obtain category shares. Their meaning differs from five shares that already sum to 100.1
The returned values include Category shares percent, Cumulative category cutoffs percent, Innovators percent, Early adopters percent, Early majority percent, Late majority percent, Laggards percent. The How section below explains the calculation, input rules and interpretation.
When to use Rogers Diffusion Adopter Categories Percent Split
Use Rogers Diffusion Adopter Categories Percent Split when you need to evaluate the supplied records under the calculation and evidence rules below. The embedded default yields shares [2.5,11,20.5,34,32], not the familiar Rogers split [2.5,13.5,34,34,16]. To request that split, supply cumulative [2.5,16,50,84,100]. No adoption prediction is calculated.
Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.
How to use Rogers Diffusion Adopter Categories Percent Split and understand its results
- Define the question, evidence and scenario assumptions first. Supply the chosen score scales, time horizons or reference selection explicitly. Interpret generated text as a discussion template and screen labels as the stated rules.
- Enter cumulativeCategoryCutoffsPercent using the field table and calculation rules, then run the tool.
- Read categorySharesPercent, cumulativeCategoryCutoffsPercent, innovatorsPercent, earlyAdoptersPercent, earlyMajorityPercent, lateMajorityPercent, laggardsPercent. 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 |
|---|---|---|---|
| cumulativeCategoryCutoffsPercent | Exactly five cumulative cutoffs ending at 100. (%) | list of number; default when omitted: [2.5,13.5,34,68,100] | Optional |
Use five finite nondecreasing cumulative cutoffs 0–100 ending100. Omitted input uses [2.5,13.5,34,68,100]. Return copied cutoffs, shares and named values in innovators/earlyAdopters/earlyMajority/lateMajority/laggards order.
share_i=cutoff_i−previousCutoff; previousCutoff_0=0 Units, indexing, boundary conditions and exceptional cases are defined in the calculation rules above.
| Output field | Meaning | Value type |
|---|---|---|
| categorySharesPercent | Category shares percent (%) | list of number |
| cumulativeCategoryCutoffsPercent | Cumulative category cutoffs percent (%) | list of number |
| innovatorsPercent | Innovators percent (%) | number; minimum: 0; maximum: 100 |
| earlyAdoptersPercent | Early adopters percent (%) | number; minimum: 0; maximum: 100 |
| earlyMajorityPercent | Early majority percent (%) | number; minimum: 0; maximum: 100 |
| lateMajorityPercent | Late majority percent (%) | number; minimum: 0; maximum: 100 |
| laggardsPercent | Laggards percent (%) | number; minimum: 0; maximum: 100 |
{
"input": {
"cumulativeCategoryCutoffsPercent": [
2.5,
13.5,
34,
68,
100
]
},
"output": {
"categorySharesPercent": [
2.5,
11,
20.5,
34,
32
],
"cumulativeCategoryCutoffsPercent": [
2.5,
13.5,
34,
68,
100
],
"innovatorsPercent": 2.5,
"earlyAdoptersPercent": 11,
"earlyMajorityPercent": 20.5,
"lateMajorityPercent": 34,
"laggardsPercent": 32
}
}Limitations and assumptions
The embedded default yields shares [2.5,11,20.5,34,32], not the familiar Rogers split [2.5,13.5,34,34,16]. To request that split, supply cumulative [2.5,16,50,84,100]. No adoption prediction is calculated.
Numeric inputs, where present, must be finite. Follow the calculation-specific rules for overflow, underflow and exceptional cases. Core numeric and string lists are limited to 100,000 entries; text entries are subject to the general large-text limit. Follow any smaller calculation limits above. Missing fields without a declared default, extra fields, wrong value types and violations of the calculation rules are input errors.
Alternative or Complementary methods
Use S Curve Adoption Phase Innovators Laggards Mapper: Adopter phase labels describe where cumulative adoption lies against category endpoints. This tool uses caller-provided cutoffs. For a complementary task, use Crossing the Chasm Early Majority Gap Strategy Lookup: An early-majority adoption barrier may concern affordability, compatibility, credibility, usability or value. This reference links a chosen barrier to a generic strategy and evidence target.
References
Similar or alternative tools
- S Curve Adoption Phase Innovators Laggards Mapper
Adopter phase labels describe where cumulative adoption lies against category endpoints. This tool uses caller-provided cutoffs.
- Crossing the Chasm Early Majority Gap Strategy Lookup
An early-majority adoption barrier may concern affordability, compatibility, credibility, usability or value. This reference links a chosen barrier to a generic strategy and evidence target.