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How Fractory grows repeat business by finding high-impact insights faster with Sisu
Technology Category
- Analytics & Modeling - Data Mining
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Software
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- Data Science Services
- System Integration
The Challenge
As VP of Demand Marketing and Marketing Operations at Fractory, Heikki Tilk is tasked with determining where to focus his acquisitions and optimization efforts to efficiently convert and retain customers. To do so, Heikki finds the factors and subfactors that identify high-value customer segments and uses those insights to drive decisions for Fractory’s Sales and Marketing teams. Heikki needed an analytics engine that could do data exploration for him, allowing him to find answers quickly and drive decisions for the Sales and Marketing teams. Unfortunately, after searching more than twenty BI providers, he found that most didn’t have the core function for relational mapping between tables that he needed to make sense of his complex marketing and sales data. Heikki needed an analytics tool that was part of a modern analytics stack. That’s when he turned to Sisu.
About The Customer
Fractory is one of the leading cloud manufacturing platforms in the world, addressing challenges in the global supply chain by offering a one-stop shop for on-demand manufacturing services. Their unique solution streamlines the manufacturing process, allowing everyone from hobbyists to large corporations to order metal fabrication in seconds. As VP of Demand Marketing and Marketing Operations at Fractory, Heikki Tilk is responsible for determining where to focus acquisitions and optimization efforts to efficiently convert and retain customers. Heikki finds the factors and subfactors that identify high-value customer segments and uses those insights to drive decisions for Fractory’s Sales and Marketing teams.
The Solution
After reaching out to the Sisu team, Heikki and the Fractory team were quickly up and running in Sisu. With Sisu’s cloud-native architecture, Fractory quickly connected to their Google BigQuery data warehouse and began running analysis in seconds. With their data connected to Sisu, Heikki worked to better understand the Sisu engine and how best to structure Fractory’s data for analysis. In under two weeks, Heikki was using Sisu to drill down into the factors and sub-populations driving changes in their core metrics and determine what was impacting customer behavior. Despite having a smaller database than other companies, Heikki and the Fractory team realized they could rely on the confidence score in Sisu to understand what kind of questions they can ask of their data without wasting time looking for answers that were out of the scope of their data.
Operational Impact
Quantitative Benefit
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