Snacking Company Uses SPINS Store Level Data to Energize Sales

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Performance-Based Innovation and Activation

As the team further analyzed the data, they identified new flavor options based on what was performing well in their category, and as a result added 3 new flavors. They were also able to identify more desirable pack sizes and associated price points. They adjusted their pricing differently for natural retailers (lowered it 10%) and for conventional retailers (increasing 12%). 

These efforts, combined with the store locator, ensured their passionate customers could always find the flavor and pack size they wanted.   

SPINS data allowed this snack company to spring out of its 3-year rut and grow 340% in less than a year. The company enjoyed a 12x return on their investment and is headed for an even bigger and better future. 

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