Payback optimization through a new deal analysis infrastructure.

Situation:

How do you make cost-effective decisions in scaling your retail stores?

As a growing digitally native retail brand, the client had plans for store growth. They had a broker and simple models to analyze deals but recognized an opportunity for improvement.

Brin saw a need to build an infrastructure and utilize their data more effectively to finalize deals faster and optimize the client’s lease economics.

Solution:

A new infrastructure ensured a faster process and optimal deal paybacks.

• Brin built a pro forma model utilizing existing store data and market assumptions.

• She built a revenue projection model with data such as competitor sales, web impact, and cannibalization impact.

• And she trained the client on how to use the models and negotiate deal terms.

Result:

The result was a refined internal real estate process, which included savings of over $200k on an existing deal. In addition, the tools and training allowed for more robust negotiation points, better terms, and paybacks in under 24 months.