Preventing Churn Using Predictive Modeling Alex Herbert Sales - - PowerPoint PPT Presentation

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Preventing Churn Using Predictive Modeling Alex Herbert Sales - - PowerPoint PPT Presentation

Preventing Churn Using Predictive Modeling Alex Herbert Sales Manager James Cousins Sr. Statistical Analyst March 26 th , 2019 Agenda Who We Are Implications of Churn Ways to Prevent Churn How we can help Q & A About


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Preventing Churn Using Predictive Modeling

Alex Herbert Sales Manager James Cousins

  • Sr. Statistical Analyst

March 26th, 2019

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Agenda

  • Who We Are
  • Implications of Churn
  • Ways to Prevent Churn
  • How we can help
  • Q & A
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About Rapid Insight

Founded in 2002 and headquartered in Conway, NH Predictive analytics and data preparation software company empowering professionals of all skill levels to turn raw data into actionable insights Serving hundreds of customers worldwide, ranging from healthcare to higher education The Veera platform enables users to easily build predictive models, perform advanced data analysis, and share insights Code free (but code friendly) self-service analytics platform

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Veera Construct enables everyone from citizen data scientists to PhD statisticians to turn any data into actionable information Veera Predict enables users of any skill level to analyze data and build predictive models in a fraction of time required by other tools Veera Bridge empowers organizations by democratizing data with its cloud-based collaboration platform

The Veera Platform

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Preventing Churn Using Predictive Modeling

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Our Simple Argument Against Churn

It’s critical to your business to be on top of churn We offer a very convenient solution to prevent churn There are several ways to approach churn

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Customer Churn

a.k.a. Customer Attrition, Turnover, Defection,…

  • Losing Customers

(voluntarily or involuntarily)

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Customer Retention

(avoiding churn)

  • Safeguards

 Revenue  Reputation  Morale

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Customer Churn

  • Acquiring a new customer is between 5

and 25 times more expensive than retaining one1

  • Increasing customer retention by 5% can

increase profits by 25-95%2

  • 1. www.hbr.org/2014/10/the-value-of-keeping-the-right-customers
  • 2. www.bellycard.com/resources/customer-retention-marketing-insights/
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Analytics in Customer Churn

Descriptive Predictive Proactive

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Descriptive Analytics in Customer Churn

  • What is your churn

rate?

  • Where is churn
  • ccurring?
  • Who is churning?

Descriptive Predictive Proactive

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Predictive Analytics in Customer Churn

  • What factors predict

churn?

  • How much churn are

you expecting

Descriptive Predictive Proactive

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Proactive Analytics in Customer Churn

  • Reach out to those

likely to churn

  • Make changes to

mitigate churn

Descriptive Predictive Proactive

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Prevention Strategies1

 Personalization  Learn from Customers

(surveys, feedback)

 Gamification & Referral programs  Subscriptions  Social Proof  Education- materials to support end-users' usage  "Surprise reciprocity"

(providing unexpected benefits to build loyalty)

 Thanking Customers

(Zappos, Chewy)

 Develop towards making their lives more convenient

(Starbucks, apps)

 Have a "mission"

(Toms, Warby Parker)

  • 1. blog.hubspot.com/service/customer-retention-strategies
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Churn Use-Case: Telecommunications

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Descriptive Analytics in Customer Churn

  • What is your churn

rate?

  • Where is churn
  • ccurring?
  • Who is churning?

Descriptive Predictive Proactive

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Connect

Integrate data in any format, from virtually any source

Prepare

Create step-by-step processes using easy, drag-and-drop visual workflows with no coding required

Analyze

Build and schedule jobs to run automatically,

  • r run on-demand analyses

Share

Write back to databases, create and disseminate reports, publish dashboards to visual analytics tools such as Tableau, or output datasets for predictive modeling

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Predictive Analytics in Customer Churn

  • What factors predict

churn?

  • How much churn are

you expecting

Descriptive Predictive Proactive

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What is Predictive Analytics?

= Churned = Retained % of Plan Utilized Churn Likelihood

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Predictors of Churn

Outcome: Customer Churn

Predictor Not a Predictor

  • Has children
  • Marital status
  • % of plan used
  • Weekend vs Weekday ratio
  • Bill delivery method
  • Gender
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Customer Churn Predictions

Plan Type # of Customers Predicted Churn Rate Predicted Loss Basic 1,350 17.27% 233 Family Minutes 14,956 2.49% 373 Starter Package, Basic 2,611 10.29% 269 Starter Package, Full 1,083 8.71% 94

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Fully Transparent

All methods and calculations performed are easily viewable

Automated Data Mining

Identify statistically significant data variables without manual effort

Easy to Use

New users can build expert models within two hours of training

No Programming Needed

Use simple pick lists instead of programming or custom command languages

Automated Modeling Process

Brings complex data analyses and predictive model building to users of any skill level

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Proactive Analytics in Customer Churn

  • Reach out to those

likely to churn

  • Make changes to

mitigate churn

Descriptive Predictive Proactive

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Prevention Strategies1

 Personalization  Learn from Customers

(surveys, feedback)

 Gamification & Referral programs  Subscriptions  Social Proof  Education- materials to support end-users' usage  "Surprise reciprocity"

(providing unexpected benefits to build loyalty)

 Thanking Customers

(Zappos, Chewy)

 Develop towards making their lives more convenient

(Starbucks, apps)

 Have a "mission"

(Toms, Warby Parker)

  • 1. blog.hubspot.com/service/customer-retention-strategies
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Inspire Curiosity

Democratize data by allowing users to seamlessly view and explore data

Power Exploration

Allow anyone, in any department, with any skill level, be inspired by data

One Stop for All Insights

A single hub allows you to streamline data and report publishing

Self Service Reporting

By supplying reports or datasets through Veera Bridge, have peace of mind that your users can now answer all questions dynamically

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Personalized Demo

data prep reporting predictive modeling advanced analytics cloud-based reporting data exploration

To schedule your personalized demo contact sales@rapidinsight.com

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Questions?

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Thank You!

James.Cousins@rapidinsight.com Alex.Herbert@rapidinsight.com information@rapidinsight.com

For more information, visit www.rapidinsight.com