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AI driven Predictive Analytics
Enough THEORY - let’s talk about RESULTS
Predictive Engagement
Modelling
40%
Fewer
emails sent
Revenue
increased by
25%
Retaining new and
disengaged customers to
secure their LTV
While increasing
top-line revenue
Public
2
3
Single to
Multi-Buyer
Predicting VIP’s
Customer
Churn
Allow Marketers To Accurately
Predict and Influence Lifetime Value
Prospect
Conversion
Predicting Customer
Lifetime Value
4
People have different
understanding of
what AI is
Strong
understanding
18.9%
Becoming more
confident
18.9%
Source: eMarketer
5
Artificial Intelligence
AI involves machines
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
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
Single to Multi-
purchaser Model
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
9
Travis Perkins
Predict Customer Churn
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
Travis Perkins
Predict VIP’s Model

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
We predicted a 46%
growth In LTV over the
next 12 months
Sept 2017 Sept 2018
However we exceeded
this target by 38%
12
By 2020, customer data 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
14
27%
increase in first purchases
83%
increase in second purchases
66%
increase in VIP numbers
54%
reduction in churn numbers
15
Travis Perkin’s
have increased
customer value by
38%
16
Continue the discussion…
RedEye Confidential
17
Chief Commercial Officer
www.redeye.com
@redeyematthew
Matthew Kelleher
matthew.Kelleher@redeye.com

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Ai driven Predictive Analytics. Enough theory - let's talk about results!

  • 1. AI driven Predictive Analytics Enough THEORY - let’s talk about RESULTS
  • 2. Predictive Engagement Modelling 40% Fewer emails sent Revenue increased by 25% Retaining new and disengaged customers to secure their LTV While increasing top-line revenue Public 2
  • 3. 3
  • 4. Single to Multi-Buyer Predicting VIP’s Customer Churn Allow Marketers To Accurately Predict and Influence Lifetime Value Prospect Conversion Predicting Customer Lifetime Value 4
  • 5. People have different understanding of what AI is Strong understanding 18.9% Becoming more confident 18.9% Source: eMarketer 5
  • 6. Artificial Intelligence AI involves machines 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- purchaser Model 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
  • 9. 9
  • 10. Travis Perkins Predict Customer Churn 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’s Model 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 a 46% growth In LTV over the next 12 months Sept 2017 Sept 2018 However we exceeded this target by 38% 12
  • 13. By 2020, customer data 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
  • 14. 14
  • 15. 27% increase in first purchases 83% increase in second purchases 66% increase in VIP numbers 54% reduction in churn numbers 15
  • 17. Continue the discussion… RedEye Confidential 17 Chief Commercial Officer www.redeye.com @redeyematthew Matthew Kelleher matthew.Kelleher@redeye.com