As business professionals, we are constantly optimizing our processes and workflows. We do this because we expect to get more automation or efficiency with the new changes. Is it possible to actually track the impact of optimizations while you’re making the process change? Today’s story shows you how a luxury online women’s retailer can track optimization during process change with Outlier’s Automated Business Analysis platform.
Last month, the online women’s retailer made some process changes in their Salesforce instance. The marketing team wanted to increase the amount of product details inputted before each listing went live. By having more product information on each listing, it created a better experience for buyers and limited the amount of questions about each listing. In short, the online retailer reduced back and forth with buyers and sold products faster. This is also called a win-win scenario.
Reading How an Online Retailer Can Track Optimization During Process Change
To make this change happen, the marketing team started an informational campaign to educate sellers on key fields to fill in before they submitted a listing for validation. In a recent Outlier weekly report, the retailer saw a weekly trend increase drastically. The Outlier story showed the email marketing efforts were making a positive impact to influence more product details be added to each listing. In fact, their process improvement efforts were delivering 61% above previous results.
The process improvement campaign had started in February and the retailer is already realizing the campaign’s benefits. Here’s a quote in their own words, “Oh – I know what that is! We are working to change this process and it is cool to see this comparison of the data through time.” Knowing this improvement was working, allows the marketing team to continue the campaign and know it’s working.
Outlier’s Root Cause Analysis feature shows that an email marketing campaign mainly re-targeting Los Angeles sellers in the 90210 area code were following the new process steps. Without Outlier the team would have spent hours identifying which sellers were making the process change, what campaign was driving the change and where were the sellers located. Fortunately, Outlier’s Automated Business Analysis platform was able to use artificial intelligence and automatically investigate and uncover these causes automatically.
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 lead to revenue increases. Sign up for a custom demo to hear how an online retailer can track changes to existing process.