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Ai driven Predictive Analytics. Enough theory - let's talk about results!
The document discusses the impact of AI-driven predictive analytics on marketing outcomes, highlighting significant improvements such as a 25% increase in revenue and decreases in customer churn. It outlines various predictive models and data integration methods used to enhance customer engagement and lifetime value. The results demonstrate the effectiveness of these strategies, leading to notable increases in purchase rates and reductions in unsubscribe rates.
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Ai driven Predictive Analytics. Enough theory - let's talk about results!
- 1. AI driven PredictiveAnalytics Enough THEORY - let’s talk about RESULTS
- 2. Predictive Engagement Modelling 40% Fewer emails sent Revenue increasedby 25% Retaining new and disengaged customers to secure their LTV While increasing top-line revenue Public 2
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- 4. Single to Multi-Buyer Predicting VIP’s Customer Churn AllowMarketers To Accurately Predict and Influence Lifetime Value Prospect Conversion Predicting Customer Lifetime Value 4
- 5. People have different understandingof what AI is Strong understanding 18.9% Becoming more confident 18.9% Source: eMarketer 5
- 6. Artificial Intelligence AI involvesmachines that can perform tasks that are characteristic of human intelligence but on a greater scale Machine Learning A process for gathering information and analysing data to provide learnings for AI to be successful. Predictive Analytics A specific set of algorithms that provides the likelihood that something will happen in the future, eg likelihood to make a purchase. 6
- 7. Predictive modelling Customer ID & Cross-device tracking Orchestration Reporting &Analytics DataIntegration Personal & Demographic Onsite Behavioural Data Engagement Data Transactional Data Mobile & Device Data Data APP Data Lifestyle Data Email Direct Mail Paid Social SMS AdWords Web Push Store Multi-channel & Data Segmentation 7
- 8. Single to Multi- purchaserModel Unsubscribe Model First Purchase Model Lapsing Model 27.5% INCREASE IN CONVERSION RATE 114.6% INCREASE IN SALES 8.8%AN 83.5% INCREASE IN SECOND PURCHASES (MONTH ON MONTH) INCREASE IN RETENTION 909.6% INCREASE IN TRANSACTIONS 31.05% DECREASE IN UNSUBSCRIBES 103.83% INCREASE IN REVENUE 8
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- 10. Travis Perkins Predict CustomerChurn PROPORTION OF CHURN RATE 3.1% 2.9% 1.4% Jan Apr Aug Feb Mar Jun JulMay 54% IN CUSTOMER REDUCTION CHURN LAPSING SEGMENT ACCOUNTS FOR 48.3% OF REVENUE 10
- 11. Travis Perkins Predict VIP’sModel PROPORTION OF VIP’S 2018 3.2% 3.8% 5.8% Jan Apr Aug Feb Mar Jun JulMay SPEND PER CUSTOMER HAS INCREASED £194 11
- 12. We predicted a46% growth In LTV over the next 12 months Sept 2017 Sept 2018 However we exceeded this target by 38% 12
- 13. By 2020, customerdata platforms will power 20% of current multichannel marketing hub deployments By 2020, over 50% of multichannel marketers will fully leverage multidimensional segmentation and predictive analytics to engage with consumers, up from 35% who did so in 2017. Source: Gartner - Smart Hubs and Dumb Spokes13
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- 15. 27% increase in firstpurchases 83% increase in second purchases 66% increase in VIP numbers 54% reduction in churn numbers 15
- 16. Travis Perkin’s have increased customervalue by 38% 16
- 17. Continue the discussion… RedEyeConfidential 17 Chief Commercial Officer www.redeye.com @redeyematthew Matthew Kelleher matthew.Kelleher@redeye.com