Achieving a 99% accuracy rate in revenue projection.

Situation: 

How do you make accurate sales projections for new stores?

As a growing retail brand seeking new funding opportunities, the client’s financial estimates for growth needed to be accurate. However, given the varied nature of real estate markets, lack of web data for new markets, and limited understanding of a new store’s effect on an existing one (i.e., cannibalization effect), the brand’s projections were not consistent.

Solution:

Brin needed to accurately project revenue for every unique scenario this client faced. Therefore, she developed a pro forma model that included a cannibalization impact analysis, web impact, and other internal metrics such as wholesale comparisons.

Result:

New models and data tools led to a 99% accuracy rate.