Turf Analysis SAS

TURF Analysis can be done in two ways depending upon what you are trying to achieve:-

  • Analysis - Choose the options (Answers) that you would like to calculate the REACH for and then click on Calculate Unduplicated Reach -- This will give you the Reach % or market share for those options. Use this option to calculate the Unduplicated reach for a set of alternatives.
  • Simulator - If you would like the TURF Simulator to run through Every Possible Combination and present you with the optimal REACH for a limited set of choices click on Simulator
  • Price Modeling - With this option, you can assign a "Cost" or a "Price" for each of the options, and also specify a "Budget". The Price Modeling Simulator will Simulate Every Possible combination that falls within the budget, and give you optimum configurations for the maximum reach.
  • Line Optimization - With this option, if you have a Minimum Reach % that you need to achieve, and would like to find out the the cheapest alternative for that.

Research Objective

The objective of Survey Analytics TURF analysis is to identify an efficient product portfolio. Specifically,

  • Maximizes the number of unduplicated consumers who will find their favorite items in the product line.
  • Minimizes the product line mix while maintaining maximum unduplicated consumer reach.
  • Finds the incremental value to the full line contributed by each additional possible product.

A TURF is a sequential analysis, when in each step the objective is to find the product that .reaches. the greatest proportion of the market that is still unreached.


The data input for a TURF analysis is most often a set of product preference questions asked of respondents. The format varies, but some common types are:

  • Purchase Intent Likelihood Scale: For each of the following products would you definitely buy, probably buy, might or might not buy, probably not buy, or definitely not buy?
  • Desirability scale: Rate the following 6 items on a scale from 1 to 6, with 1 being your most preferred product and 6 being the least preferred.
  • Ordered List: If you were limited to picking out at most 3 extra options, which ones would they be?

The key to designing a study that will include TURF analysis is that all respondents must evaluate all products. That is, this is a full block, within-subject experiment. In addition, the survey should collect basic demographics and purchase frequency and amount. The reasons for this are discussed in the Limitations section of the paper. SurveyAnalytics provides you with a bunch of survey templates and you can pick the one that is close to your research studies. Also with the highly advanced question types that we have introduced you can collect just the vital information, that makes sense.

Limitations and Merits

While TURF is a useful and commonly used tool, a few points should be kept in mind when using or interpreting results from a TURF analysis. TURF makes the assumption that once consumers are satisfied with a specific product they will no longer seek variety in that product category. This assumption is probably limiting for some product categories where there is substantial variety seeking. Also, TURF makes no assumptions about frequency or amount of use. It does not distinguish between the person who will definitely buy the product twice a week and the person who will definitely buy the product once a month. This is why the 'frequency of use' questions mentioned earlier can be valuable. Using the data from those questions as a weight will allow for a better estimation of the volumetric potential of the line.

Survey Analytics provides you with reports/ results that are easy to interpret though its a complex analysis that you are doing. SurveyAnalytics TURF results are relatively simple to understand and interpret. TURF is a useful technique for analyzing existing product lines as well as adding to and developing new product lines.

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