How the antiperspirant brand uses Daasity to customize its analytics and make real-time business optimizations
Before working with Daasity, the Carpe team ran data analytics in-house in order to keep on top of company performance and run ad hoc analyses. Despite the team’s strong analytical skills, they were limited by their software: they could not easily query their data and could not easily pull data from key sources, such as Amazon Seller Central.
After trying out several data solutions, the team decided on Daasity for a few main reasons:
Carpe centralized all its data using Daasity and began building its ideal analytics environment. From the outset, the team has built customized visualizations in Looker and regularly run queries, including on its Shopify Plus + Amazon data.
For example, every day, the team analyzes how many new customers were acquired from Amazon out of their total orders.
Additionally, the entire brand relies on Daasity for automated reporting. On a daily, weekly, and/or monthly cadence, each team (marketing, finance, ops, customer service) receives KPI reports based on their data needs.
By using Daasity, Carpe tracks and reacts to real-time changes in data from all parts of the organization, and the analytics team is able to get a lot more done in a shorter amount of time.
That productivity means a whole lot more testing and learning, leading to virtuous cycles in workflow and brand performance.