Case Studies

Retail Brin Snelling Retail Brin Snelling

Achieving a 99% accuracy rate in revenue projection.

How do you make accurate sales projections for new stores?

As a growing retail brand seeking new funding opportunities, it was imperative that their financial estimates for growth were accurate. Given the varied nature of real estate markets, lack of web data for new markets and limited understanding of the effect a new store may have on an existing (i.e. cannibalization effect), their projections were not consistent.

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