Increase the ROI of marketing investments with ML based Multi Touch Attribution Free Case Study

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"Increase the ROI of marketing investments with ML based Multi Touch Attribution"

Free Case Study: "Increase the ROI of marketing investments with ML based Multi Touch Attribution"

Sigmoid's Multi Touch Attribution solution is a self-adapting ML model with a control system based evaluation framework to assess the impact of change in marketing activity on sales. The scalable and weekly auto-calibrated marketing measurement ML model analyses each marketing touchpoint and assesses its impact on conversion. This model also helps in efficient channel mix and marketing spend allocation, resulting in maximizing marketing ROI and cost savings.
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