Looking for a way to simplify its internal data, Boll & Branch turned to Mammoth Growth. Consequently, the team at Mammoth Growth was able to build out a four-pronged approach that massively helped Boll & Branch organize and store its data.
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.
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.
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.