Consulting for WonderCow, Nate modeled out the recommendation of making subscription the default option on their hero product and offering a steeper discount to new subscribers. He modeled the improvement in sub take rate, decrease in CAC for higher discount, decrease in AOV due to the discount, and change in LTR/LTV due to higher discount, lower CAC, and improved retention and showcased the assumptions in an easily digestible model. The brand actioned on the strategy which resulted in 3x more new customers MoM at flat CAC, 2x higher percentage of new customers opting for subscription, and 3x the retention for month 1.

Nate implemented a post-purchase survey in the first year of the brand’s launch for a holistic view of attribution. This is still in use today and the main source of truth for performance across 10+ channels, both online and offline. Nate built the data pipeline with custom API connections and created a clean view of channel performance vs business performance so stakeholders could easily view the impact of increased or decreased spend across any active channels. The impact is seen in the brand’s ability to continue scaling.

A growth consultant asked Nate to perform LTV and speed-to-payback analysis for one of their brands. Nate extracted the data, modeled out retention rates by subscribers, one-time purchasers, and all customers, along with LTR (lifetime revenue), LTV (lifetime value), speed-to-payback (LTV:CAC), and AOV by order month for each of the segments. The consultant’s client said “this is a work of art.”