Customer Stories

CUSTOMER STORY

PacSun is leveraging SoundCommerce to align marketing, merchandising, and operations data into a “single source of truth” for all customer transaction, interaction, and event data, driving business performance across its retail stores and ecommerce site.

READ THE FULL STORY

CUSTOMER STORY

Sleepwear icon Eberjey runs a dynamic, high-growth omnichannel business with SoundCommerce data insights and activation.

READ THE FULL STORY

CUSTOMER STORY

Black Rifle Coffee Company (BRCC), a hyper-growth subscription coffee brand, adopted SoundCommerce to elevate its omnichannel commerce marketing and operations.

CUSTOMER STORY

SoundCommerce powers Hearst’s commerce data and analytics — to align marketing, merchandising, and operations with profit and customer lifetime value (CLV) for the global media company.

CUSTOMER STORY

Learn how Constellation Brands uses SoundCommerce to optimize marketing spend and unearth actionable campaign insights to intelligently shape its business and unify data across seven brands.

READ THE FULL STORY

CUSTOMER STORY

With SoundCommerce, Bala has built a repository of in-depth customer, digital marketing, and order data, which enables it to create customer profiles and launch marketing campaigns using first-party data.

READ THE FULL STORY

CUSTOMER STORY

SoundCommerce helps Outdoor Research tackle complex data to better market, sell and fulfill its innovative product line through DTC and wholesale channels.

CUSTOMER STORY

With SoundCommerce data analytics and activation, Mattress Warehouse is on its way to becoming a 500-store omnichannel business.

CUSTOMER STORY

SoundCommerce helped Rainbow Shops to unify more than eight years of granular transactional order history and customer engagement data to unlock insights and enable action across its omnichannel operations, from initial customer click to doorstep delivery.

CUSTOMER STORY

Artisan jewelry brand GLDN taps SoundCommerce to unify and model its ecommerce data ranging from paid media to custom manufacturing costs — all running on the modern data stack.