Prevent your customers from reducing their purchases of products and services by using Customer Attrition Management PowerPoint Presentation Slides. Discuss various ways through which the company can manage the customer churn by using customer churn management PPT slideshow. The presentation describes key statistics associated with customer churn, present customer situation in a firm, types of customer churn, methods to handle customer attrition, churn propensity model, the impact of successful implementation of churn management, dashboard, etc. Customer attrition PPT templates help to track the customer churn rate on monthly basis. Discuss four stages of customer churn management which allows the company to handle customer attrition. Take advantage of customer churn analysis PPT layouts and showcase how the firm can prevent customer churn. The company can handle the churn issue by detecting the churn signals and triggers from the customer. Depict information about the various marketing campaigns in order to retain its customer from churning. Provide ways to prevent churn through predictive analysis by downloading customer churn prediction PPT presentation. https://bit.ly/2R7GztG

1. Customer Attrition Management
Your Company Name

2. Agenda for Customer Attrition Management
2
01 • Company needs to prevent customers from reducing
their purchases of products and services
02
• Discussing about various ways through which
firm can manage the customer churn
03 • Discussing about churn
propensity model
04 • Add text here

3. Table of Content for Customer Attrition Management
3
04 Churn Propensity Model
05
Impact of Successful Implementation
of Churn Management
06 Dashboard
• Customer Purchase Tracking
o Problem Understanding
o Data Collection, Preparation and Pre-processing
o Modelling and Testing
• Various Customer Attributes to Look For
• Preventing Churn through Predictive Analytics
• Machine Learning Process
• Predicting Customer Churn
• Customer Journey Analytics
• Key Statistics Associated to Customer Churn
• Present Churn Situation in Firm
• Current Customers Attrition in Firm
• Customer Churn Rate on Monthly Basis
01 Introduction
02 Various Types of
Customer Churn
03
How to Handle Customer
Attrition?
o Segmentation on Basis of Customer Spending
o Acquisition Strategy for Churned Customer
o Delighting Customers to Improve Loyalty
o How to Prevent Customer Churn?
o Several Anti – Churn Campaigns
• Customer Treatment Framework
• Four Stages of Churn Management

4. Table of Content 1
4
• Key Statistics Associated to Customer Churn
• Present Churn Situation in Firm
• Current Customers Attrition in Firm
• Customer Churn Rate on Monthly Basis
Introduction

5. Key Statistics Associated to Customer Churn
5
Companies are losing $85
billion each year due to
customer churn and
abandoned purchases
Costs 5x more to acquire
new customers than keeping
existing ones
16x more to bring new
customers to the same level
of current ones
5% increase in customer
retention leads to 30% - 90%
increase in profits
90% of firm’s future
revenues derive from 30% of
existing customers
Probability of selling to new
customer – 5 – 15%
Probability of selling to
existing customer – 65 –
75%
03
02
01 05
04
Customer churn is a serious issue which affects firm’s overall performance. Due this, firms incur heavy losses in terms of abandon purchases and lower revenues. Retaining existing
customer is more profitable than acquiring new customers.

6. Present Churn Situation in Firm
6
0
40
80
120
160
200
2015 2016 2017 2018 2019 2020
Millions
Chumers Subscribers
0
20
40
60
2015 2016 2017 2018 2019 2020
Percentage
This slide depicts the current scenario of churners compared to customers over the years. It also provides information regarding annual churn rate of the customers.
Customers and Churners Annual Churn Rate of Customers
Key Takeaways
• There is increase in churners with increase in customer base from 2015 to 2020
• Add text here
Key Takeaways
• There is a rise in customer attrition rate in past years
• Add text here

7. Current Customers Attrition in Firm
7
Current Customers 10,000 14,375 18,531
Number of Churners -500 -719 -927
New Customers 5,000 5,000 5,000
New Churn -125 -125 -125
Total Customers 14,375 18,531 22,479
Adjusted Churn Rate 5.13% 5.13% 5.13%
Quarterly Churn Rate 5.17% 5.17% 5.13%
August September October
This slide provides information about current customers, number of churners with churn rate for last three months.

8. Customer Churn Rate on Monthly Basis
8
0%
2%
4%
6%
8%
10%
Customer Churn
Key Takeaways
• There is steady increase in customer churn from 2018 to 2020
• But in Dec 2019, firm has encountered the highest customer churn rate
• Reasons for high churn rate –
• Poor client experience
• Bad onboarding experience
• Lost value perception
• Add text here
Firm has tracked customer churn rate on monthly basis. It has been seen that firm has faced highest churn rate in last month.
01/07/2018 01/06/2020

9. Table of Content 2
9
Various Types of
Customer Churn

10. Various Types of Customer Churn
10
This slide provides information about several ways in which firm can experience customer churn such as – when customer stops spending, churn due to product quality, etc. and the
reasons behind them.
Account Declining in Spending
• Decrease in overall spend with firm
• Purchasing in less volume and ordering less frequently
• Add text here
• Add text here
Product Churn
o Failure in meeting customer expectations
o Failure in providing value to customers as compared to
competitor’s offering
o Degrading in quality and shortening shelf life
• Add text here
• Products become unattractive for various reasons –
Complete Customer Account Loss
o Failure in delivering promises made
o Not finding product useful
o Bad customer service
• Reasons for customer leaving business entirely
• Add text here
• Add text here

11. Table of Content 3
11
How to Handle
Customer Attrition?
o Segmentation on Basis of Customer Spending
o Acquisition Strategy for Churned Customer
o Delighting Customers to Improve Loyalty
o How to Prevent Customer Churn?
o Several Anti – Churn Campaigns
• Customer Treatment Framework
• Four Stages of Churn Management

12. Four Stages of Churn Management
12
The firm is need of managing its customer churn and it will achieve this in four stages such as – acquiring churned customer, delighting customer, preventing customer attrition and
saving customers through various campaigns.
Acquire
Customer segmentation
Acquiring customers through
different strategies
Delight
Delighting customers in order to
increase customer loyalty as
compared to competitors
Prevent
Preventing customers from
attrition through analyzing various
churn signals and triggers
Retain
Focus on saving customers from
leaving the firm through several
campaigns

13. Segmentation on Basis of Customer Spending
13
From To
$0.00 $25.00 Low
$25.1 $50.00 Medium
$50.1 $75.00 High
$75.01 $100.00 Silver
$100.01 $150.00 Gold
#150.1 $1,000.00 Platinum
Customer
Spending Range
Customer
Spending Range
The firm will bifurcate its customers based on their spending pattern.

14. Acquisition Strategy for Churned Customer
14
0
2
4
6
Average lifetime indexed to deal seekers Average CLV indexed to deal seekers
0%
20%
40%
60%
80%
100%
Total market Acquisition market
Deal seekers
Tariff optimizers
Apathetics
Loyalists
Lifetime Customer Lifetime Value Availability in % of market
The firm is looking for acquiring its churned customer as it is costlier in acquiring new customers than retaining the existing ones. The customers will be categorized into segments such
as deal seekers, tariff optimizers, etc. and strategies will be implemented according to the categorization.
Deal Seekers Short term promotions Quarterly
Tariff Optimizers Add text here Add text here
Apathetics Add text here Add text here
Loyalists Increasing benefits over time-Providing free and easy to access to cloud storage Add text here
Category Frequency
Category
Customer Segment Mix of segment per universe
Altering mix of acquisition –

15. Delighting Customers to Improve Loyalty
15
Improved Customer Interactions
• Loyalty program
• Interactable and intuitive system
• Customized email responses
• Add text here
Enhanced customer engagement Add text here
Treating Customers
• Small gifts
• Thanking customers through
handwritten notes on invoices
• Add text here
Loyalty building Add text here
Follow Up
• Sale follow up
• Satisfaction/ complaint feedback
survey Add text here
Enhanced customer service experience Add text here
Parameter Comments
Strategies Benefit
The firm is looking for different parameters in order to delight its customers. This slide portrays various strategies that firm will implement to enhance customer loyalty and the benefits that
it will incur.

16. How to Prevent Customer Churn
16
Pending or unresolved incident No action taken on complaint call
Increased complaints
4 - 5 complaints related to
• Invoice
• Orders
• Product quality
End of commitment
Customer inquires about the commitment period duration
and status
Your text here
Communicating with competitors
Interacting with competitor’s tele sales department thrice in
last two months
Churn Signals
Preventive
Measures
Description
Churn
Triggers
Description
Preventive
Measures
This slide depicts information about how firm can prevent the customer churn. The firm can proactively handle the churn issue by detecting the churn signals and triggers from
customers.

17. Several Anti - Churn Campaigns
17
This slide portrays information about various marketing campaigns in order to retain its customers from churning.
Cross Sell and
upsell Campaigns
Building post sales opportunities through
• Additions or improvements based on previous purchases
• Add text here
Product and
Service Improvement
• Making customers aware about new features and optimizations
through email, webinar
• Add text here
• Tracking insights regarding losing
customers
• Add text here
Customer
Satisfaction Campaigns
After
Sales Engagement
• Requesting feedback and offering support
• Add text here

18. Customer Treatment Framework
18
The firm will target its customers by testing various strategies in terms of offers and will check their performance through feedback.
Testing
multiple strategies
Offer 1
Offer 2
Offer 3
Update modes
based on
response data
Feedback Loop
Tracking customer
responses on various offers
Offer 1
Offer 2
Offer 4
Update modes
based on
response data
Feedback Loop
Campaign refining on basis
of customer response
Offer 5
Offer 2
Offer 6
Likely Churner

19. Table of Content 4
19
Churn Propensity
Model
o Problem Understanding
o Data Collection, Preparation and Pre-processing
o Modelling and Testing
• Various Customer Attributes to Look For
• Preventing Churn through Predictive Analytics
• Machine Learning Process
• Predicting Customer Churn
• Customer Journey Analytics

20. Various Customer Attributes to Look For
20
Data Collection Through
Campaign History
• Customer information collected from
different email campaigns types –
promotions, discounts
• Add text here
Customer
Demographic Data
• Gender
• Age
• Income
• Education level
• Socio economic characteristics
• Add text here
Customer Behavior
Data
• Subscription date
• Customer spending per visit
• Subscription history
• Page views
• Brand preferences
• Add text here
The firm will explore various features from data. The available data is analyzed per user basis.

21. • Algorithms provide information
regrading shared behavioral
pattern of customers who
already abandon purchasing
• Check behavior of current
customers against the patterns
and alert about potential
churners
• Get informed about the
customer’s pain points and
choosing effective retention
actions
Preventing Churn through Predictive Analytics
21
Projecting the probability of future outcomes, events based on current and historical data. It utilizes different statistical techniques such as machine learning, pattern recognition through
data mining, etc.
Machine Learning
Churned Customer
History
Pattern
Recognition
Proactive re-
Engagement
Predictive
Model
Customers at risk
of Churn
Happy
Customers
Existing
Customers

22. Machine Learning Process – Problem Understanding
22
This graph/ chart is linked to excel and changes automatically based on data. Just left click on it and select “Edit Data”.
The customer churn prediction through machine learning is initiated through understanding the insights through two methods – classification and regression.
0%
10%
20%
30%
40%
50%
60%
70%
80%
-1 0 1 2 3 4 5 6 7
Churn
Profitability
# Customer Service Calls
Problem Understanding
Two types of problems to solve
Regression
• Probability estimate of churn per customer –
• Estimate about customers that are likely to get churn in a specific time
period
Classification
o Will customer churn or not
o Will customer renew its subscription
• Data scientists categorize customers in different class/category
(churner/non churner)
• Categorizing based on pricing plan downgrading

23. Machine Learning Process-Data Collection, Preparation and Preprocessing
23
Once the insights are identified, data collection sources are selected for further predictive modeling. After that, dataset is prepared with a set of attributes representing behavior patterns
related to customer engagement level for specific product/service.
Data Collection
Recognizing various sources of data for churn prediction –
• CRM systems –customer information from sales and customer support records
• Feedbacks on review and social media platforms
• Add text here
Data Preparation and Preprocessing
Recognizing various sources of data for churn prediction –
o Customer demographic features – education, level, income
o User behavior feature – lifecycle stage, active session length
o Support features – sent queries, customer satisfaction score
• Feature engineering – Predicting outcomes by selecting most relevant attributes depicting different
behavior patterns related to customer engagement level with product/service. Features can be –

24. Machine Learning Process – Modelling and Testing
24
Root node
Interior node Interior node
Leaf node Interior node Interior node
Leaf node Leaf node Leaf node
Leaf node Leaf node
Decision Tree
• Data sample splits into two or more homogeneous sets with most significant
differentiator in input variables
• Tree initiated from root node – best predictor
• Add text here
• Add text here
Decision Tree
Tree1
Voting
P1
P2
Pm
Treem
Tree2
Predicted Class
A
• High prediction accuracy with numerous decision trees
• Each tree classifies data instance based on attributes
• Forest selects classification with maximum votes
• Add text here
• Add text here
Random Forest
The firm can consider in between two churn prediction model – decision tree and random forest. These models are capable in detecting potential churners with desired level of accuracy.

25. Predicting Customer Churn
25
Customer 1 Medium 201.4 0.112 Yes Add text here
Customer 2 Low 153.2 .265 No Add text here
Customer 3 High 127.5 .741 Yes Add text here
Customer 4 Low 161.3 .878 Yes Add text here
Customer 5 Low 254.4 .281 No Add text here
Customer 6 Add text here Add text here Add text here Add text here Add text here
After deploying churn prediction model, the firm will become capable in predicting churn probability of various customers on basis of various attributes such as NPS, transaction usage, etc.
Customer Transaction Usage NPS Churn Probability Churn Prediction Comments

26. Customer Journey Analytics (1/2)
26
7K 21.7K 332 29K
Return in Store
7.1K 21.7K 313 29.2K
Coupon Spent
6.9K 21.5K 340 28.7K
Reward Sent
7.4K 22.1K 251 29.7K
Web Searched
7.6K 11K 11.3K 29.9K
Product Searched
Key Takeaways
• Marketing team will keep track of crucial customer touchpoints which will deliver more value,
affect future interactions and will prove to be fruitful in driving new and repeatable clients
• The analysis will help in uncovering crucial steps that will drive more value
• Add text here
• Add text here
The firm can also measure churn rate using customer journey analytics tools by mapping entire customer journey by analyzing various touchpoint encountered.
7.6K 11K 18.6K
Product Compared
7.6K 7.6K
Cart Abandoned

27. Customer Journey Analytics(2/2)
27
Key Takeaways
• Marketing team will keep track of crucial customer touchpoints
which will deliver more value, affect future interactions and will
prove to be fruitful in driving new and repeatable clients
• The analysis will help in uncovering crucial steps that will drive more
value
• Add text here
• Add text here
The firm can also measure churn rate using customer journey analytics tools by mapping entire customer journey by analyzing various touchpoint
encountered.
46.6
K
Signed Up for
Online Banking
11K
Downloaded
Mobile App
2.9K
Open Cd
46.6
K
Tie 1
581K
120-day Customer
Satisfaction
1.9K
Account
Closed
256K
Account
Closed 1
Call made to
customer Support
2.9K
22.3K
Enrolled in
Direct Deposited
1.6K
Apply for Loan

28. Table of Content 5
28
Impact of Successful
Implementation of Churn
Management

29. Impact of Successful Implementation of Churn Management
29
Benefit Description Annual $ Impact
Decreased churn
Revenues increased
Higher cross - selling
revenues
Customer retention rate
Revenues generated
Add text here
Add text here
$3.3M
$0.4M
65% increase
$4 - $5 M
Add text here
Add text here
Benefit Category
Reduce Churn and Drive
Upsell Revenue
Enhanced
Customer Engagement
Improved
Customer Retention
This slide portrays the overall impact of churn prevention and benefits associated to it.

30. Table of Content 6
30
Dashboard
• Customer Purchase Tracking

31. Dashboard – Customer Purchase Tracking (1/2)
31
The firm is looking forward to track customer experience by tracking various touchpoints in order to handle issues such customer churn. KPIs mentioned in the dashboard are measured
regularly across the organization.
Repeat Purchase
Path to Purchase
0
20
40
60
Customer activity
0
0.2
0.4
0.6
0.8
Reward conversion per group
-0.03
0.17
0.37
0.57
0.77
Coupon conversion rate per group
Summary
Participants
11.6K
Total repeat sales after
coupon
8.35
K
Total repeat sales
after reward
29.2
K
0
0.2
0.4
0.6
0.8
1
1.2
1.4
Landing page per group test
-0.5
0
0.5
1
1.5
2
2.5
3
3.5
Product viewed per category
0
0.2
0.4
0.6
0.8
1
1.2
1.4
Add cart/ product view
0
5000
10000
15000
Oct-19
Nov-19
Dec-19
Jan-20
Feb-20
Mar-20
Total cart value per month
Summary
Participants
29.8K
Add to cart by product
category
34.3
K
Sales Q1 2020
0
5000
10000
15000
Oct-19
Nov-19
Dec-19
Jan-20
Feb-20
Mar-20
Total cart value per month
0
0.2
0.4
0.6
0.8
1
Reward conversion per group
0
20
40
60
Female Music
New chart
-25
75
175
275
375
475
Sep-20 Oct-20 Nov-20 Dec-20
Checkout by month
Summary
Participants
9.1K
Total revenues by
category
14.5
K

32. Dashboard - Customer Purchase Tracking (2/2)
32
The firm will track down the customers activities in terms of revenues generated. Customers are bifurcated in segments such as existing, new, lost and active.
Existin…
New,
624
Active,…
Churned
, 1,669
Customers 6419 1.5% 624 14.8% 1869 49.9% 5174 12.3%
Revenue $425k 0.9% $31k 9.7% $139k 66.5% $317k 15.1%
Avg Bill $66.17 0.7% $50.33 18.4% $74.44 27.9% $61.27 27.6%
Existing New Lost Active

33. Customer Attrition Management Icons Slide
33

34. Additional Slides
34

35. 30 60 90 Days Plan
35
Days
Plan
30
Days
60
Days
90
Days
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36. Weekly Timeline with Task Name
36
Monday Tuesday Wednesday Thursday Friday Saturday Sunday
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Name Here Text Here -
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37. Our Mission
37
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Mission
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Vision
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Goal

38. Designation
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Designation
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Designation
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Our Team
38

39. Roadmap for Process Flow
39
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01
02
03
04

40. About Us
40
Creative
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Professional
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Talented
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41. Comparison
41
WhatsApp Users
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50%
Twitter Users
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65%
Facebook Users
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80%

42. Financial
42
Minimum
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Medium
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Maximum
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35
60
90

43. Timeline
43
START FINISH
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2016
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2017
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2019
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2020

44. Thank You
44
Email Address
emailaddress123@gmail.com
Contact Number
0123456789
Address
# street number, city, state