Transcript
Page 1: Overview of Database Marketing

Overview of Database Marketing

Page 2: Overview of Database Marketing

Historical Perspective• Mass Production, Mass Media and Mass Mkt

now replaced by-a one-to-one economic system

The one-to-one future represents- Customized production- Individually addressable media- 1:1 marketing

Primary premise: retaining a customer is easier than acquiring a new one

Goal is Customer Share not Market share.

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Acquisition vs Retention

• $100 spent on acquisition brings $50 in profits

• $100 spent on retention brings $150 in profits

(Paul Wang, Dbase Mkt expert)

• Most companies are spending 90% of mkt dollars on acquisition

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Acquisition vs Retention (contd)

• Why do companies spend more on acquisition- Acquisition easier to measure- Acquisition is easier to carry out- Acquisition involves product managers, retention involves segment managers- Retention involves maintaining a database- To measure retention, you must have a test and control groups

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What is Database Marketing?

• An information driven marketing process made possible by database technology that enables marketers to

develop, test, implement, measure and modify

customized marketing programs and strategies

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What is required for Database Marketing?

• Relevant data about customers and prospect• Database tech to transform raw data into powerful and

accessible mkt info• Statistical techniques to rank customers in terms of

their likeliness to- respond to mkt communication- buy products- return products- pay for products- stay or leave

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What is required for Database Marketing

• Knowledge of economics of gathering, manipulating, and analyzing data

• Creativity to capitalize on mkt opportunities that emerge from above process to develop

- individual customer relationships

- build business

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Premise of Database Marketing

• Not all customers are alike

• Gathering, maintaining, and analyzing customer and prospect info allows marketers to

- identify key mkt segments

- optimize planning, pricing and promoting

- close deals satisfying both buyers and sellers

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How is it different than Direct Marketing?

• Is broader than traditional Direct Mkt

• Direct mkt communication is through one channel- mail

• Database mkt uses different channels of communication such as TV, print etc to

- make a sale

- develop relationships with customers

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Example: Health and Beauty Aids

• Database analysis reveals that

- best converters (people who repurchase)are above certain age and income level

- basically middle aged affluent households

• How will you improve their mkt communication based on this result?

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Example: Health and Beauty Aids

• Some suggestions

- mail promotions to only middle age, people living in affluent

neighborhoods

• This could increase profits because it reduces cost of mailing while improving sales

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Example: Package Goods

• Database analysis (segmentation) reveals that

- Purchase patterns and amount purchased differ between clusters of consumers

- It relates to the attitudes the brand represents and the customers’ lifestyles

• How will you customize their mkt communication based on this result?

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Example: Package Goods

• Some suggestions

- Combine your data with secondary data like Nielsen Brand Development Index (BDI)

- In loyal mkts co-promote other products that you manufacture with the primary brand

- In non-loyal mkts drop coupons or run promotions to bring in new customers

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What do these examples tell us?• Info about customer purchases is as imp as

dollars obtained from selling goods

• Develop ongoing dialogues with customers thru

- In-package surveys

- Opinion polls

- Tracking studies

- Point of Sale (POS) programs

• These dialogues should reward customers for

- Repurchasing

- Referring new customers

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How do customers benefit?

• Enables customers to

- register their preferences

- form perceptions about company’s brands (both old and new)

- leverage more value for what they pay

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Some representative strategies-Lead Grading

• Grade prospects by

- willingness to buy

- ability to buy

- readiness to buy

• When combined with data about previous customers, this helps in recommending the right match

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Some representative strategies: Customized Targeting

• Reach customers with right product and right offer at the right time (eg Music clubs like BMG or Columbia)

• Customize offers based on member’s previous selections, demographic and lifestyle information

• Reduces attrition, improves sales• Develops loyalty

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Some representative strategies: Foster New Services

• Help make it easy for customers to buy more, and more often

• Use unique customer ID’s to avoid redundant questions whenever customer places and order

• Use customer purchase history to make offers about related products

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Some representative strategies: Increase Customer Loyalty

• Establish two-way communications between customers and company

• Majority of repeat business comes from a small percentage of customers (called Relationship Buyers as opposed to Transaction Buyers)

• Reward customers for purchasing from you again and again

• Example: Continental One Pass, American Advantage, MCI-Blockbuster

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Some representative strategies: Increase Customer Loyalty

• Transaction buyers/Disloyal customers could be

- Transient individuals

- Young people, rather than older people

- Single people, rather than married people

- Renters, rather than home owners

- People who respond to low-ball discount offers

- People who respond to temporary sales

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