IMAX, an innovator in entertainment technology, combines proprietary software, architecture and equipment to create experiences that take you beyond the edge of your seat to a world you've never imagined. Top filmmakers and studios are utilizing IMAX theaters to connect with audiences in extraordinary ways, and, as such, IMAX's network is among the most important and successful theatrical distribution platforms for major event films around the globe.

The Challenge

IMAX wanted a programmatic solution for the fulfillment of data subject rights and California opt-outs, to avoid manual processes

IMAX legal and engineering teams needed a scalable, automated solution for the fulfillment of privacy choices such as California opt-outs and data subject access rights (DSAR) requests. IMAX wanted to ensure the variety of privacy choices they offered across multiple channels such as web and mobile were reflected and enforced across the IMAX data ecosystem, including their Customer Data Platform (CDP).

The Solution

Ketch consent orchestration and end-to-end DSR fulfillment

IMAX uses Ketch consent & preference management for sustained compliance against current and future privacy regulations. Privacy choices such as opt-out consent are collected across multiple engagement channels, such as web and mobile. To enforce those choices across the IMAX data ecosystem, IMAX connects data systems via the Ketch App Marketplace. Consumer choices are enforced in third-party apps including Google Tag Manager, Zendesk, Customer.io, and Segment, their CDP.

“We’re impressed with Ketch’s App Marketplace. Ketch connects people’s privacy choices to our CDP and data systems—a truly comprehensive consent and rights solution.”
Senior Vice President, Legal and Business Affairs at IMAX

The Results

A measurable, business-impacting decrease in manual effort

IMAX has automated 80% of all DSAR fulfillment, freeing up resources for other initiatives. With the Ketch App Marketplace, IMAX depends on Ketch privacy APIs to orchestrate privacy choices across data systems, and eliminates the need to build these costly integrations in-house.

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Case Study
Published
June 1, 2022