Noom

Noom, the digital health and behavior change platform, brought us in to better understand the growth audience and uncover the behavioral patterns driving and blocking long-term engagement with the product.

Objective

Noom had a product that worked. The challenge was understanding who it was really for and why those people behaved the way they did. The company had strong acquisition data but limited visibility into the category-wide human drivers underneath it. What did the weight loss category actually mean to the people cycling through it repeatedly, sometimes for decades? What was Noom really selling against? Better audience understanding was the prerequisite for everything else.

Strategy

The work identified a specific growth audience defined by a behavioral pattern, not demographics. People cycle in and out of the weight-loss category repeatedly, not because they lack discipline, but because behavior change is a recurring project rather than a one-time decision. Mapping that pattern changed how the category looked. This audience was not simply choosing between programs. They were managing a longer internal arc of hope, effort, doubt, and renewed motivation. The research surfaced a key competitive insight about what was actually blocking engagement, which reframed the brand's job and gave the positioning a more precise target to work from.

Results

The audience and behavioral work gave Noom a more accurate picture of who it was serving and what those people actually needed from the brand. It informed the subsequent brand positioning and creative work, shaping the direction of marketing in the years that followed. Brand health metrics strengthened and acquisition became more efficient. The audience understanding did not replace the performance machine. It gave it a stronger foundation to run on.

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