Module 1 Test Flashcards
(64 cards)
Direct marketing
a database-driven interactive process of directly communicating with targeted customers or prospects using any medium to obtain a measurable response or transaction via one or multiple channels
What makes direct marketing effective?
Customer/prospect databases
Experimentation and testing
Measurement of results
Accountability for costs
Communication
Factors contributing to the growth of direct marketing
Printing technology
Credit cards, internet and mobile payment systems
Personal computers and smart devices
Changing consumer lifestyles
Negative aspects of retail shopping
Convergence of Direct and Brand Marketing
- The differences have blurred due to the digital revolution today.
- Most traditional brand marketers have a virtual storefront in the form of a website and utilizes.
- Most direct marketers now create and reinforce brand building strategies at the individual customer level.
- Direct and Brand Marketing are now considered complementary strategies.
The processes of direct marketing
Reaching the right people with the right offer using the right creative approach.
Analyzing responses from consumers to evaluate effectiveness.
Revising targeting, communication and distribution.
Basic premise: customer data drives all DM strategies and customer and prospect responses are measurable, emerging importance of multiple channels (compare media).
Omnichannel experience and omnichannel direct marketing
Challenge: managing customer experience through all available shopping and communication channels.
Emerging ways consumers engage with a company:
Physical store, Online website, Mobile app, Catalog, Social media.
A direct marketer needs to create synergy between the various channels.
Scope of Direct Marketing
Many applications of DM
Users include: big and small businesses, individuals, non-profit organizations, political organizations, government organizations, sports organizations.
Benefits of direct marketing
Building customer loyalty
Cost-effectiveness
Building relationships
Increasing sales
Measurable results
Personalized communication
Simplifying the buying process
Testing products and services
Increasing word-of-mouth
Factors contributing to the growth and mainstreaming of Direct Marketing
ability to precisely target specific customer segments, personalize communication, deliver measurable results, and leverage the increasing accessibility of digital platforms
Customer database
A list of customer names to which the marketer has added additional information in a systematic fashion
Relational Database
A database that organizes data in tables made up of rows and columns. Structured so that the data points in each table are related to each other.
Database development process
Marketer’s often used a centralized computing system that collects, integrates, and manages big data via a Data Management Platform.
Customer interaction-> Basic Data -> Information -> Knowledge -> Marketing Strategy
Types of source data
Customers name
Address
Number
Email
First contact media or event
Past purchases
Non-purchase behavioral data
Lifestyle data
Database Maintenance
Lists and data are perishable
Merge/Purge: eliminating duplicates
Creating match codes to keep house list records from being duplicated
Identifying multi-buyer customers
Database Currency
Information privacy
Proper database storage
List marking- salting or seeding: placing decoys
8 Database Usage and applications
Profile customers
Retain best customers
Thank customers for their patronage
Cross-selling and up-selling
Develop a customer communication program
Perform market research
Generate new customers
Send customized offers
Database Analytics
Using software tools and stats to find relevant information and knowledge from large amounts of data stored in a database
RFM
recency, frequency, and monetary value
Customer Lifetime Value
present value of all future profits from a customer
Datamining analysis
- Cluster analysis
- Market basket analysis
- Conjoint analysis
- Neural networks
Cluster analysis
categorize or segment customers and prospects based on similarity in one or more variables
Market basket analysis
determine which products and services are purchased together
Conjoint analysis
determine which set of attributes in a product or service is most attractive
Neural networks
models that help unearth relationships among multiple variables that is not easily identified by statistical analysis