customer segmentation what is customer segmentation? dividing the market into meaningful subgroups...

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Customer Segmentation Customer Segmentation What is Customer Segmentation? •Dividing the market into meaningful subgroups What is it good for? •Finding underserved consumers •Targeting products or marketing to a specific user group •Understanding who your consumers are

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Customer SegmentationCustomer Segmentation

What is Customer Segmentation?•Dividing the market into meaningful subgroups

What is it good for?•Finding underserved consumers•Targeting products or marketing to a specific user group•Understanding who your consumers are

Customer SegmentationCustomer Segmentation

What Should I Segment By?•Demographic – Age, Gender, •Socioeconomic – Income, Education•Product Usage – Usage level, Purchases per month•Important Product Benefits – Cost, Color, Brand•Geographic – City, Region

Customer SegmentationCustomer Segmentation

Methods Of Customer Segmentation•Quantitative• Ask Around, Mental Exercise

•Qualitative• SPSS• Pivot Tables

Customer SegmentationCustomer Segmentation

New Electric Orabrush

•Known: Cost will be $60

•Which consumers would want an electric Orabrush?•What would they expect to pay?•What channels should we sell it through?•What features should it have?•Etc

Customer SegmentationCustomer Segmentation

Methods Of Customer Segmentation•Quantitative – Do the mental exercise, try to drill down

• Pros – Cheap, Fast, Easy, Better Than Nothing• Cons – Subjective, No New Data

Newlyweds Insecure Teenagers Salesmen

30% 50% 20%

Price Color Performance

Online Online Brick & Mortar

$15 $10 $40

Customer SegmentationCustomer Segmentation

Methods Of Customer Segmentation•Qualitative – SPSS – Build and run survey, input and massage data

• Pros – Data Driven, Finds non intuitive answers, Robust• Cons – Expensive, Time Consuming, Hard to learn

Customer SegmentationCustomer Segmentation

Methods Of Customer Segmentation•Qualitative – Pivot Tables – Build and run survey, input and massage data

• Pros – Data Driven, Finds high level connections, Cheap• Cons – Not very robust, Somewhat Subjective

Customer SegmentationCustomer Segmentation

Pivot Table Customer Segmentation

Sent out a survey to heavy users asking• Demographic Questions

• Job• Age• Gender• Location

• Product Feature Questions• Most important feature• Preferred sales channel• Expected Price

Customer SegmentationCustomer Segmentation

Identify Segments

$ 30 $ 40 $ 50 $ 60 $ 70

Female

Newlywed 13 5 1 6%

Salesman 6 4 10%

Teenager 17 2

Male

Newlywed 5 14

Salesman 2 7

Teenager 5 15

• Female Salesmen and Newlyweds are good segments

Customer SegmentationCustomer Segmentation

Identify Segments

• East is a better location

Row Labels $ 50 $ 60 $ 70

Female

Newlywed

East 4 4 2

West 5 3 1

Salesman

East 1 4

West 3 2

Customer SegmentationCustomer Segmentation

Identify Segments

• Age is not relevant for segmentation

Row Labels $ 50 $ 60 $ 70 FemaleNewlywed20 4 130 4 140 1 2 150 4 1

Salesman20 330 1 140 2 150 1 1

Customer SegmentationCustomer Segmentation

Identify Product Features

• Performance and cost are the most important product features for their segments

Row Labels Color Cost Performance

Female

Newlywed

East 2 5 3

Salesman

East 1 4

Customer SegmentationCustomer Segmentation

Identify Product Features

• Performance is most important product feature

Row Labels B & M Online

Female

Newlywed

East 5 5

Salesman

East 5

Customer SegmentationCustomer Segmentation

Target Consumer Segments

East Coast Female Salesman10% of populationValues performanceWilling to spend $65Shops at B&M Stores

East Coast Female Newlywed6% of populationValues costWilling to spend $61Shops at B&M Stores