The Client

Boll & Branch is a leader in the manufacturing and distribution of high-end organic and ethically sourced textile products such as sheets, duvets, towels, and mattress products. They are the first Fair Trade Certified manufacturer of organic linens and mainly sell their products through e-commerce channels. They have recently expanded through a partnership with Nordstrom, as well as through Boll & Branch-owned stories.

The Challenge

As a direct-to-consumer (DTC) manufacturer of luxury products, Boll & Branch markets through various online channels: Google, Facebook, and Pinterest. The company also harnesses offline channels like OTA and magazines. 

This multi-channel approach prompted the need to optimize marketing spend, but the company’s existing multi-touch attribution model went through so many iterations that the sources of the data flowing through that model became difficult to identify. As a result, that data was deemed untrustworthy.

The Solution

Mammoth Growth was brought in to audit, clean up, and simplify Boll & Branch’s multi-touch attribution model. Through the implementation of a phased approach, Mammoth created a new data lineage and attribution model that, through a Looker dashboard, generates accurate data-driven reports that guide Boll & Branch in making marketing decisions.