TURF, which stands for Total Unduplicated Reach and Frequency, is a tool for understanding the portfolio of alternatives (products or media) that will maximize reach (i.e., penetration). It is used for selecting combinations of flavors and product variants (e.g., what are the best five flavors of bubble gum for a manufacturer to offer?).
Requirements

A data set consisting of at least 100 respondents, ideally many more.

A measurement of the appeal of three or more different alternatives per respondent. These measurements can be from rating scales, historical purchase data, MaxDiff, conjoint utilities, or preference predictions.

All measurement variables converted to a binary variable, where a 1 indicates the person should be counted in whatever is being measured, and a 0 indicates otherwise. The easiest way to do this in Q is to set the variables as a Pick Any Question. Please see How to Setup and Change Question Types for more details on how to change this in Q.

Cases that have any missing data in the measurements will be excluded from the analysis. You may wish to include missing data by deselecting Missing Data in the Value Attribute settings of your question.

For the incrementality plot, it will only work if each TURF output used in it has the same brands as the preceding TURF output.
How to run TURF in Q
 Go to Automate > Browse Online Library > TURF > TURF Analysis.
 Select the Pick Any variable set that contains the data to be analyzed in the Inputs > Alternatives dropdown.
A legacy TURF option is available by selecting Create > Marketing > Legacy TURF Analysis. The option referred to above is more flexible and has a more modern interface.
Learning how to use TURF
The best way to learn about TURF is to check out our eBook and webinar. These cover the TURF tool available in Q and in our online product Displayr.
TURF basics
A TURF analysis contains a set of alternatives which represent products (or medias), from which subsets of alternatives are selected to construct portfolios. In Q, alternatives are selected from variables in Pick Any or Pick Any  Grid questions. The objective of a TURF analysis is to find the portfolios with the highest reach. If two portfolios have the same reach, then the one with a higher frequency is assigned a higher ranking. The analysis returns the top portfolios for each portfolio size within a specified range of portfolio sizes.
Reach and the Minimum Alternatives Per Case
The reach is a percentage representing the "coverage" of a portfolio. This is commonly calculated as the (weighted) proportion of respondents in a survey who have provided a positive response to one or more alternatives in the portfolio. Therefore the reach is intended to represent the proportion of the population that would be interested in at least one of the alternatives, although this does not necessarily have to be case. An option called the minimum alternatives per case, also known as depth of reach, specifies the number of alternatives that each respondent has to respond positively to in order to be counted in the reach. This number is commonly one, but may be a whole number up to the maximum portfolio size.
Importantly, the Minimum Alternatives Per Case option is applied within each portfolio for the purpose of computing the Reach percentage. So if the minimum alternatives is set as 3, and the size of a portfolio is 4, only people who have 3 or 4 of selections from the options in that portfolio are counted towards the calculation of the % of reach.
Frequency
The total (weighted) number of positive responses received for all the alternatives in a portfolio. This measure is used to differentiate two portfolios with the same reach, where the one with a higher frequency is assigned a higher ranking.
Minimum Proportion of Positive Responses
An option to specify the minimum (weighted) proportion of positive responses that alternatives must have in order to be included in portfolios. The purpose of this is to exclude alternatives are likely to contribute the least to the reach, which reduces the size of the search space and hence the computation time, although this will only be noticeable for analyses with a large number of alternatives. The minimum proportion is set to zero by default, which means that no alternatives are excluded.
Forced Alternatives
An option that allows a subset of alternatives to be specified to be present in all portfolios. Such alternatives are often core products and the objective of the TURF analysis becomes one of choosing the remaining noncore products to add that maximise the reach. By forcing alternatives, the size of the search space is reduced.
Mutually Exclusive Alternatives
An option to specify one or more sets of alternatives where the alternatives in each set must not appear in the same portfolio. The purpose is to avoid considering portfolios with two or more almostidentical alternatives, as these alternatives often receive similar responses and therefore are unlikely to appear in portfolios that maximise reach. By specifying mutually exclusive alternatives, the size of the search space is reduced.
Minimum Portfolio Size
An option to specify the smallest portfolio size for which TURF optimization is conducted. This number must be at least the number of forced alternatives, at least the minimum alternatives per case and at least one. Specifying a higher minimum reduces the size of the search space.
Maximum Portfolio Size
An option to specify the largest portfolio size for which TURF optimization is conducted. This number must be no more than the total number of alternatives but may be lower depending which alternatives have been excluded and which alternatives are mutually exclusive. Specifying a lower maximum reduces the size of the search space.
Number of Top Portfolios to Display
An option to specify how many top portfolios to show, i.e. if this number is n, then the top portfolio until the nth ranked portfolio will be shown in the results. This number does not significantly affect the computation time but a large number may make the output results longer and more difficult to navigate. The default is one, meaning that only the top portfolio is shown.
Optimization Methods
There are two optimization methods used in TURF, exhaustive and stochastic. The exhaustive method searches through all possible portfolios and is used for all cases, except when the search space so large that it would typically take more than a few seconds to run. In such a situation an option is provided to use the stochastic method instead, which is highly likely but not guaranteed to provide the exact list of optimal portfolios. This is because the stochastic method relies on randomly chosen starting points at which to begin the search. However, as the random seed is kept constant, the same results will be returned each time if the input options are unchanged.
The error rate of the stochastic method is very low. Tests have been conducted on realworld problems with 30 alternatives, for a range of portfolio sizes, both with and without forced and mutually exclusive alternatives. For each configuration, the stochastic method was repeated 1000 times (with a different seed) on the sample problem, with the resulting top 20 portfolios being correct in all 1000 runs.
Legacy TURF Output Example
This information relates to the legacy TURF option in Q using Create > Marketing > Legacy TURF.
The output below was copied (without formatting) from the results of a TURF analysis on chewing gum flavors. There were 16 alternatives (flavors), with Spearmint chosen as a forced alternative and Strong Peppermint and Peppermint chosen as the first set of mutually exclusive alternatives and Eucalyptus and Menthol chosen as the second set of mutually exclusive alternatives. The minimum proportion was specified to be 20%, which meant that White Fruit was excluded. The minimum portfolio size was 3 and the maximum portfolio size was 5. The filter called Filter: Eat Gum Monthly+ and the weight called Weight: Days Chewing Gum Per Year were applied to the input data.
TURF Summary: Best Portfolios for Each Size Size Reach Frequency     Peppermint OR Spearmint OR Strawberry 3 93.88% 334,201     Green Apple OR Peppermint OR Spearmint OR Strawberry 4 96.61% 406,762     Green Apple OR Menthol OR Peppermint OR Spearmint OR Strawberry 5 97.87% 484,720     Best Portfolios of Size 3 Rank Reach Frequency     Peppermint OR Spearmint OR Strawberry 1 93.88% 334,201     Fruit OR Peppermint OR Spearmint 2 92.95% 319,214     Green Apple OR Peppermint OR Spearmint 3 92.91% 322,452     Best Portfolios of Size 4 Rank Reach Frequency     Green Apple OR Peppermint OR Spearmint OR Strawberry 1 96.61% 406,762     Lemon OR Peppermint OR Spearmint OR Strawberry 2 96.44% 414,414     Orange OR Peppermint OR Spearmint OR Strawberry 3 96.17% 408,536     Best Portfolios of Size 5 Rank Reach Frequency     Green Apple OR Menthol OR Peppermint OR Spearmint OR Strawberry 1 97.87% 484,720     Green Apple OR Lemon OR Peppermint OR Spearmint OR Strawberry 2 97.71% 486,976     Eucalyptus OR Green Apple OR Peppermint OR Spearmint OR Strawberry 3 97.64% 467,480     List of All 16 Alternatives from Q22. Preferred flavour % Population    Strong peppermint 49.86% 89,070    Eucalyptus 33.99% 60,718    Fruit 38.81% 69,324    Green Apple 40.62% 72,562    Lemon 44.90% 80,213    Menthol 43.64% 77,958    Mint and passionfruit 25.75% 45,994    Orange 41.61% 74,335    Peach 22.33% 39,890    Peppermint 71.97% 128,561    Spearmint 67.92% 121,329    Strawberry 47.20% 84,310    Sweetmint 36.88% 65,888    Vanilla 31.85% 56,899    Watermelon 29.27% 52,290    White Fruit 12.08% 21,572    Forced Alternatives  Spearmint  Mutually Exclusive Alternatives 1  Strong peppermint  Peppermint  Mutually Exclusive Alternatives 2  Eucalyptus  Menthol  Excluded Alternatives Alternatives with % less than 20%  White Fruit  Note Portfolios are ranked in terms of highest reach and then highest frequency. The filter "Filter: Eat Gum Monthly+" has been applied to the TURF analysis. The weight "Weight: Days Chewing Gum Per Year" has been applied to the TURF analysis. Base n (unweighted total sample size): 1,230 Base Population (weighted total sample size): 178,632 Missing n (number of observations excluded due to missing data): 9
The first output produced is a TURF Summary
. This shows the optimal alternatives (products or media) for a given portfolio size. For example, the table below shows that of the flavors in the analysis, if only 1 alternative was available, then Peppermint maximizes the reach with a reach of 66%, while if two alternatives are available, reach is maximized by offering both Strawberry and Peppermint, and the resulting reach for these two alternatives is 84.89%, etc.
In this example, only six alternatives have been included in the analysis so Q only shows reach for up to six alternatives. The more alternatives included in the TURF analysis, the more portfolios that need to be tested. For example, where there are 20 alternatives, then there are
 20 portfolios involving 1 alternative (i.e., each alternative on its own)
 190 portfolios involving different pairs of alternatives
 1,140 portfolios offering different triples of alternatives
 …
 184,756 portfolios involving ten alternatives.
To avoid situations where users inadvertently request a TURF that will take too long time to compute, Q only examines portfolio sizes that will involve less than 1,000,000 combinations of alternatives. In practice, this means that Q does not evaluate larger portfolios when there are more than 22 alternatives (e.g., with 23 alternatives, Q only examines portfolios of size 9 or less; with 24 alternatives, 8 or less, etc.).
In addition to the TURF Summary, Q computes the top portfolios for each of the portfolio sizes. Where the portfolio size consists of more than 100 combinations of alternatives, only the top 100 are shown (additional portfolios of interest can be created using Create NET.
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How to Setup and Change Question Types
How to Recode Missing Values in Q