Chapter 3: Secondary Data and Collection Management Flashcards
Secondary data
Data that have been previously gathered and might be relevant to the study at hand
Advantages of secondary data
- Cost effective
- Efficient means of obtaining information
- Helps clarify or refine problem
- May provide alternative methods for primary data research
- May provide potential problems and danger
- Provides credibility in the reserach
Sources of secondary data
Within the company through financial reports, sales data, and outside sources like gov departments, industry associations, business periodicals
Limitation of secondary data
- Lack of availability
- Lack of relevance
- Inaccuracy
- Insufficiency
Internal database
A collection of related information developed from data within the organization
How to create internal database
Use firm’s sales or inquiry processing and tracking system, based on salespersons’ call reports
Database marketing
Marketing that relies on the creation of a large computerized file of customers’ and potential customers’ profiles and purchase patterns to create a targeted marketing mix
Customer relationship marketing software (CRM)
Helps marketers enhance their recruitment of new customers and also keep current clients
Data mining
The use of statistical and other advanced software to discover non-obvious patterns hidden in a database
Neural network
A computer program that mimics the processes of the human brain and thus is capable of learning from examples to find patterns in data
Use of data mining in marketing
- Customer acquisition
- Customer retention
- Customer abandonment
- Market basket analysis
Customer acquisition with data mining
- Apply data mining methods to discover customer attributes that predict responses to special offers
- Attributes are matched to attributes to rented lists of non-customers
Customer retention in data mining
Data mining identifies those customers who contribute the the company’s bottom line but who are likely to leave and go to a competitor
Customer abandonment in data mining
Some customers cost more than they contribute and should be encouraged to take their business elsewhere
Market basket analysis in data mining
By identifying the associations among product purchases in POS transactions, retailers and direct marketers can spot product affinities and develop focused promotion strategies that work more effectively than traditional one-size-fits-all approaches