How to Scale Ad ROI Using Machine Learning and Attribution Habits

I recently chatted with Depesh Mandalia from AdSignals about our use of Machine Learning to help our customers to automatically mine their attribution data to find valuable consumer behaviour insights, to generate alerts and weekly recommendations. 

Our system excels at identifying subtle 'Attribution Habits,' such as detecting that customers who engage with a specific blog post and a low-cost Facebook retargeting ad within 7 days have a 45% higher Lifetime Value (LTV) than average. The ML then translates this insight into a weekly recommendation to increase budget on that specific ad set and adjust the blog's Call-to-Action. This level of precision is exactly how Depesh Mandalia was able to see such significant, measurable returns.

We’ve been busy working hard for our customers. In the past 30 days a lot of requested features have been delivered. This video summarizes the features and lets you know what is coming in the next 6 weeks.