90% of new clients see 2X+ growth in under 12 months
See how brands are staying relevant with SPINS data. Keep scrolling for our case studies.
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58% growth and a 20x return for plant-based beverage brand in just one year
With store-level data in hand, a plant-based milk company increased its distribution within its existing footprint and added another 10 retailers to the roster. In the first few months of having SPINS data, they expanded their distribution by 48%.
34% increase in distribution for a natural sweetener brand after identifying voids
A natural sweetener brand uncovered that they were the fastest-growing brand in their category across the Natural channel, yet they only had 70% coverage at their largest retail account. After identifying their distribution voids and taking their story to the retailer, they gained full coverage, increasing distribution by 34%, and recognized 11x ROI in 8 months.
30% growth for a hummus brand after conducting a category share analysis
An emerging hummus brand leveraged SPINS data to uncover that their brand was driving 1/3 of the categories’ growth while only representing 15% of the overall assortment. The brand revised its sales pitch accordingly, doubling its facings and growing 30% in sales at its key retail account, resulting in 15x ROI.
$300K in sales for a chocolate brand after uncovering assortment opportunity
A leading natural chocolate brand was looking to expand distribution at its top account when it turned to SPINS. By comparing the cross-channel category share to the retailer's assortment mix, they uncovered a compelling story; the retailer had gaps and a significant opportunity to drive sales. After presenting the story to the category manager, the retailer revised its assortment and the chocolate brand gained placement in 25 additional stores with a projection of $300k in new sales over the next year.
40% increase in trade spend ROI for a pet food brand after improving promotions
A pet food brand invested in SPINS trade spend analysis and uncovered that only 60% of their promotions were yielding a positive return. By isolating the top and bottom performing promotions, they could identify how discount depth, promotion, product type, seasonality, and duration led to better sales. Applying these insights to re-allocate funding, they improved their trade spend ROI significantly, realizing a 40% increase in ROI and $350K in incremental sales within the first year.