Industry
Ecommerce
Company size
50-100
Established
2015
Value
$6M
Location
London
We built an ecommerce stack on top of Snowplow and Shopify, and delivered a highly sophisticated attribution model so that the Eve team would know exactly what marketing approaches were working well.
Eve Sleep is a UK-based sleep wellness company. Founded in 2015, Eve offers a full suite of sleep-optimising furniture and bedding through their direct to consumer (DTC) ecommerce shop. Only two years after its founding, Eve raised £30mn through its IPO on the London Stock Exchange.
Eve had scaled rapidly and had reached a pivotal moment of change: the company was looking to grow and expand their proposition in an increasingly competitive market. The leadership team had a clear vision for the future of data in the company, but their data infrastructure could not support the next phase.
As a company, Eve described themselves as data-rich and organisationally poor: data was generally available, but it wasn’t in shape to drive decision making. Marketing analytics were available via Google Analytics and while operational data was housed in Netsuite, but both were disconnected and insufficient. Acquisition data was disconnected from product and profitability metrics, hindering the team’s ability to make informed strategic decisions. The team needed to update its data stack to put insight and profitability into focus. Beyond execution alone, their data leaders needed an interim team to build a foundation and multi-year roadmap which could be implemented long after the engagement ended.
“To go from where we began to where we are now is a huge step change. The intangible measure of our success was our ability to on- and off-board team members from the legacy environment to the new environment.”
Philip Cotton, Data Director
During Sprint Zero we met with the broader stakeholder set (i.e., Marketing, Product, Data, and Leadership teams) to catalogue the range of potential use cases. In addition to scoping out our own work, we build a multi-year data strategy that Eve could implement after the engagement ended.
The first stage of accelerating the stack was to ensure the quality and reliability of data inputs. We refreshed data collection from over 10 tools, including writing custom scripts to extract affiliate acquisition data. Using Fivetran for ETL, we aggregated this data into dbt for modelling.
During Sprint Zero we met with the broader stakeholder set (i.e., Marketing, Product, Data, and Leadership teams) to catalogue the range of potential use cases. In addition to scoping out our own work, we build a multi-year data strategy that Eve could implement after the engagement ended.
The first stage of accelerating the stack was to ensure the quality and reliability of data inputs. We refreshed data collection from over 10 tools, including writing custom scripts to extract affiliate acquisition data. Using Fivetran for ETL, we aggregated this data into dbt for modelling.
We delivered the data stack that Eve needed as a scalable foundation for the team to own, including:
“We’re not just keeping the lights on — we’re building and expanding on it. Despite the team shrinking in size, we are doing more. Having a clean infrastructure has vastly reduced individual dependencies. That’s the big win!”
Philip Cotton, Data Director
