SAB Case Study

Staffing over a 4-month period: 10%

Revenue growth over a 6-month period: 150% increase

With the help of data analytics, we were able to model what would happen if our product was improved or changed. Using fractional factorial analysis instead of traditional A/B testing methods allowed us to test different variables to find out which ones have the most impact on customer response rates without uncertainty.

A second analytical tool was created to project the financial impact on all offer combinations. The Net Present Value (NPV) model was based on Digi Consulting LTD. finances and used both observed conversion rates as input and modeled responses at each level for an accurate forecast of revenue potentials that can be achieved through direct marketing campaigns with different scopes or sizes—from small local businesses up to significant chains such as Walmart and Target. 

This allows marketers to test new ideas without spending too much money beforehand to get valuable insights into what works best before investing heavily into production planning.

The marketing agency discovered that certain variables caused customers to respond more often than others. For example, offers with three or four times as many responses generated an original offer, and high price points did not seem appealing.

Using our advanced analytics marketing capabilities, Digi Consulting LTD. was able to identify the most profitable direct campaign for rollout nationwide. We also helped them develop in-house expertise and conduct multivariate campaigns that were more successful than those before it with better results across various channels such as email or social media engagement rates per post.

We’re passionate about helping companies grow by finding out what works best when running digital advertising, not just how much you can spend but where your money should go to have maximum impact on customer acquisition.