TURF estimates the unduplicated reach and frequency achieved by combinations of items. It is useful for portfolios, claims or messages when the objective is coverage rather than average appeal.
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TURF, portfolio and assortment techniques
Reach, assortment and optimisation methods for selecting combinations under constraints and diminishing returns.
Methods family
Reach, assortment and optimisation methods for selecting combinations under constraints and diminishing returns.
Use methods only after defining the estimand, data structure, assumptions, validation plan and decision consequence.
Total Unduplicated Reach and Frequency is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Incremental-reach analysis is a method within turf, portfolio and assortment techniques. Reach, assortment and optimisation methods for selecting combinations under constraints and diminishing returns. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Read the full entry →Portfolio optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Assortment optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →SKU rationalisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Product-line optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Feature-bundle optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Read the full entry →Message-bundle optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Claim optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Menu optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Set-covering models is a method within turf, portfolio and assortment techniques. Reach, assortment and optimisation methods for selecting combinations under constraints and diminishing returns. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Knapsack optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Integer programming is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Mixed-integer programming is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Linear programming is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Constraint optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Pareto optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Multi-objective optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Portfolio cannibalisation modelling is a method within turf, portfolio and assortment techniques. Reach, assortment and optimisation methods for selecting combinations under constraints and diminishing returns. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Incremental penetration is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Duplication analysis is a method within turf, portfolio and assortment techniques. Reach, assortment and optimisation methods for selecting combinations under constraints and diminishing returns. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Browse linked method entries
TURF analysis
TURF estimates the unduplicated reach and frequency achieved by combinations of items. It is useful for portfolios, claims or messages when the objective is coverage rather than average appeal.
Open methodTotal Unduplicated Reach and Frequency
Total Unduplicated Reach and Frequency is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodIncremental-reach analysis
Incremental-reach analysis is a method within turf, portfolio and assortment techniques. Reach, assortment and optimisation methods for selecting combinations under constraints and diminishing returns. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodPortfolio optimisation
Portfolio optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodAssortment optimisation
Assortment optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodSKU rationalisation
SKU rationalisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodProduct-line optimisation
Product-line optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodFeature-bundle optimisation
Feature-bundle optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodMessage-bundle optimisation
Message-bundle optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodClaim optimisation
Claim optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodMenu optimisation
Menu optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodSet-covering models
Set-covering models is a method within turf, portfolio and assortment techniques. Reach, assortment and optimisation methods for selecting combinations under constraints and diminishing returns. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodKnapsack optimisation
Knapsack optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodInteger programming
Integer programming is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodMixed-integer programming
Mixed-integer programming is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodLinear programming
Linear programming is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodConstraint optimisation
Constraint optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodPareto optimisation
Pareto optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodMulti-objective optimisation
Multi-objective optimisation is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodPortfolio cannibalisation modelling
Portfolio cannibalisation modelling is a method within turf, portfolio and assortment techniques. Reach, assortment and optimisation methods for selecting combinations under constraints and diminishing returns. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodIncremental penetration
Incremental penetration is a statistical or analytical concept within turf, portfolio and assortment techniques. It should be selected for the data-generating process and decision question rather than because software makes it available.
Open methodDuplication analysis
Duplication analysis is a method within turf, portfolio and assortment techniques. Reach, assortment and optimisation methods for selecting combinations under constraints and diminishing returns. Its usefulness depends on data structure, assumptions, validation and whether the output answers the intended decision.
Open methodNo entries match this search.