All About Cost Segregation by Eli Loenbenberg, CEO Download PDF

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"Improving your cash flow by reducing your taxable income is the goal of our cost segregation specialists."

Madison SPECS

Statistical Sampling Approach

Often, the full tax benefits of a cost segregation analysis can be obtained by looking at just a small sample of total assets. Our statistical experts take advantage of the latest IRS Revenue Procedures (found in Rev. Proc. 2007-35 and Rev. Proc. 2004-29) to draw the sample as efficiently as possible and extrapolate from the sample to the population of assets.

We perform our studies in phases to ensure that "relative precision" targets as required by the IRS can be met without sampling more locations (stores / restaurants / etc.) than necessary.

  • Phase one is a pilot study to estimate the variance of reclassified property.
  • Phase two incorporates the variance estimates to complete the sampling as efficiently as possible.

Our phased approach takes all the guesswork out of sampling. By neither sampling too many locations nor too few, we are able to maximize the tax benefits to the client.


  • For a national, fast-food restaurant chain, our statistician developed a statistical model to estimate the fixed assets that could be reclassified from 39-year real property to five-year personal property. This statistical model was reviewed and accepted, on audit, by the IRS. A stratified sample design enabled the selection to be as small a sample as possible, thus minimizing the amount of work performed by our cost segregation analysts completing the study.

  • For the past five years, our statistician has performed an annual sampling analysis of new acquisitions and new construction projects by one of the nation's largest retail banks. Our cost-segregation model extrapolates from the sample to produce population estimates of five-year personal property. The work has withstood IRS review all five years.

  • For a retailer with locations at hundreds of malls across the U.S., our statistician conducted a sampling analysis for cost segregation purposes. The sample was designed to meet the "10-percent relative precision target" (found in Rev. Proc. 2007-35 and Rev. Proc. 2004-29.)

For clients with space in dozens or hundreds of locations, Madison SPECS' use of statistical sampling is an invaluable tool that saves both time and money. Statistical sampling makes cost segregation an even more effective strategy for generating tax benefits and increasing cash flow.

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