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Insights Mission

NPD Insights® is a newsletter of The NPD Group, Inc. NPD Insights presents vital information on key market trends and features the NPD services, which help our clients understand, anticipate and capitalize on these trends to build their businesses.

HomeAsk The Researchers

Have a question about NPD’s research methods? Let us know. Send a question to your NPD account representative, or directly to our Chief Research Officer, Steve Coffey, at steve_coffey@npd.com. We’ll get back to you straight away – and you may see your question in a future Research Edition of NPD Insights.

For this edition, we surveyed some of the research scientists across NPD for the questions they address most frequently.

Liz Heffernan
Carol Parker

Question: Why does NPD calibrate consumer data?  Why isn't the data closer to "reality" without being calibrated?

Answer: Many, but not all, of NPD’s consumer databases benefit from calibration. Calibration is the process by which we systematically adjust the consumer-derived market and brand size estimates based on actual point-of-sale data that we receive from retail partners. Since consumer recall is by its nature imperfect, we adjust the consumer estimates to match the point-of-sale data each month wherever we can, to ensure that we are delivering the most accurate view of the marketplace possible.


Paul Violino
Paul Violino

Question: Why do you do "upgrades"?

Answer: We constantly work to provide the most accurate and trendable data possible in order to give our clients the best-available view of the marketplace. As part of this continuous effort, we have formally adopted a policy of periodic data upgrades. These upgrades allow us to systematically address marketplace or methodology changes, ensuring that clients have the best information at hand when making critical business decisions. Some examples of events that may trigger an upgrade include:

- Additions to the sample of POS retail partners
- Improvements in research methodology (i.e., projection system enhancements)
- Changes to the definition of channels/addition of channels

By incorporating these changes in a planned and careful manner, the stability and reliability of our market information is not compromised and our clients can more proactively manage their use of the information. It is, of course, a trade off – we understand that changes to the data may require adjustments to our clients’ internal reporting documents. But NPD's position is that we are committed to ensuring that our clients continuously receive the best possible estimates that we are able to provide.

Our commitment to our clients is to communicate upgrade plans as early as possible and identify key changes to the data prior to the upgrade’s release. We are also committed to working with our clients to disseminate information about the possible impact and implications of the changes throughout their organizations.
Jan Van Tol
Jane Van Tol

Question: Your POS data does not match my internal data. Why?

Answer: Several conditions may result in NPD’s POS databases not matching other frequently used databases. More often than not, this is a function of differences in the definitions of what is included, how data is classified, and estimation techniques.

  • The defined retail universe must be aligned. Most of NPD’s POS databases are built to represent sales from a precisely defined channel. Department stores, the mass channel, and electronics superstores are examples of channels. A common definition of the channel is essential if alignment is to be expected.
  • While the retailer participation rates within the NPD channels are typically very high, NPD makes estimates or projections to cover non-participating retailers within the defined channels. If another data source is being compared to NPD’s POS data, and if it has the same channel definition, differences in projection techniques or even the amount of projection will result in overall differences.
  • The category definition may be different. NPD has developed product hierarchies and category definitions over the years that have evolved with inputs from manufacturers and retailers. What is included or excluded from a defined category may be different across data sources.
  • NPD classifies POS data received from retailers at an item level, assigning brand, feature, and category characteristics. A client’s internal database may utilize a different reporting format and classify items differently.
Aside from the reasons noted above, other minor differences between data sets may occur if NPD does not receive a retail partner's data on time, requiring us to estimate or impute that missing data. When this occurs, internal models are used to simulate that missing data, so that we can meet our data delivery timelines and at the same time, produce reliable simulated data sets.Back to Top

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