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.
I'm proud to say that during the conversation, Depesh stated that he had used Wicked Reports to make a lot of money and he described the support he from us as "really interested in helping to grow my business" .....
If you'd like to know more about our Recommendations, please book a call.
FAQ
What is the main purpose of Wicked Reports' Machine Learning automation?
The Machine Learning automation is designed to automatically mine attribution data to find valuable consumer behaviour insights, generate critical alerts, and provide weekly, actionable recommendations to customers.
Who is Depesh Mandalia and what did he say about Wicked Reports?
Depesh Mandalia is from AdSignals. During a conversation with Wicked Reports, he stated he used the platform to make a lot of money and described the support as "really interested in helping to grow my business."
How can I learn more about the Recommendations feature?
You can learn more about the personalized recommendations by booking a call directly with the Wicked Reports team to see how they apply to your specific business.
