One of the most valuable brands known among athletes, a footwear manufacturer, engages in design, development, manufacturing and worldwide marketing and sales of sportswear apparel and services. In addition to manufacturing sports footwear and equipment, the brand also operates online and brick-and-mortar retail stores. Tracking orders and revenue metrics across retail can be dizzying for such a large brand.
Teaming with Outlier, the Retailer found a big problem to solve. Our automated business analysis platform analyzed many of the brand’s data feeds and identified several stories across data sets which alerted them to significant drops in orders and revenue metrics overall and in specific geographies. Outlier was able to bring this to the analytics team’s attention, which quickly circled up with the product management team to help solve the issue. Without the insight from Outlier, the teams said they would not have known to act and potentially would not have spotted the issue until days later.
Outlier Spots Drops in Order Funnel for Footwear Manufacturing Company
Outlier identified the problem by discovering which tags had been dropped. A day after, the error was fixed, as shown by updated stories from Outlier. Orders and revenue metrics were no longer dropping. Dropped tags like this can impact metrics and performance measurements across the company and have downstream impacts if not identified and fixed immediately.
This story is essential for an e-tailer because tracking these metrics can help them uncover different behavioral trends on their website. If the orders and revenue metrics are incorrect, and a drop appears, that may signal a dip in conversions among high paying customers. Outlier helped this brand avoid such an obstacle to correctly track their Average Order Value (AOV), which is a direct indicator of what’s happening with their profits, and one of the most important e-commerce metrics.
You can identify meaningful trends in your data with Outlier. Without Outlier, these kinds of insights would require hours, days, weeks or months of analysis. Outlier empowers businesses to take a deeper look at their data and uncover unexpected trends that can help you correct tagging issues. Sign up for a custom demo.