Case Study: Chime creates a broadcast-ready national TV spot at 5x lower cost with Runway ML

A Runway ML Case Study

Preview of the Chime Case Study

Chime saves $200K and cuts production costs 5x with Runway ML

Chime, a fee-free digital banking platform, needed to produce a national TV campaign featuring nearly 100 real members but found that a traditional photoshoot would be logistically unrealistic and cost-prohibitive. They partnered with Runway ML and used its AI tools to transform a collection of inconsistent user-generated photos into production-ready assets.

Using Runway, Chime processed over 85 member photos, bringing them into motion to create a stable, broadcast-ready end card for their TV spot. This solution achieved an 85% cost savings, which was five times less expensive than traditional production, and allowed them to execute a concept that would have been practically impossible otherwise.


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