Improved Marketing ROI on Ad Spend
IMPROVED MARKETING ROI
iTuring’s Auto ML/AI addresses this complex problem by analyzing traffic data across multiple channels and running ML models to link traffic to customer’s shopping/spend behaviour (online and/or offline). Based on Multi-Touch Attribution, iTuring is able to precisely calculate the weighted impact of each channel in driving revenue thereby accurately estimating the Marketing ROAS (Return on Ad Spend).
For a leading retail client, CyborgIntell used iTuring to build “Multi-Touch Attribution & Media Mix Optimization Models” to establish Marketing ROAS and drive higher efficiency & margins for the company.
Business used the results of the models to establish an ROAS of 22:1, refine allowable Cost Per Lead for different channels and optimize media channel spend.
Optimization of Media Spend
Time to Deployment
Not only does iTuring estimate marketing ROI of their marketing promotions spend to identify which media vehicle is driving maximum revenue but, it also provides explanations for why a particular media vehicle is likely to drive higher revenue. This allows business users to better understand their marketing spend and implement actionable and impactful marketing strategies.