SCANNER DATA AND ONLINE MARKET RESEARCH
Scanner data Impact of Internet on market research Types of online research Challenges in online research Excel, Part II
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
1
Scanner Data
Panel members in test communities agree to
Swipe a card prior to each purchase Have purchases matched to
demographic profiles media/coupon exposure promotional status of competing brands past purchases
Problems:
Aggregation over household Aggregation bias--averages of disparate segments obscure!
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
2
Scanner Data Research
No. of ads seen by shopper Ads seen for competing brands “Split cable”
RECORDED PURCHASES
TELEVISION EXPOSURE
HOUSEHOLD FILE
DEMOGRAPHIC INFORMATION
Family size Occupation Family size Income Home MKTG 476 ownership
Purchase on occasion: Yes, no Time since previous purchase Previous purchases Current price Previous price Current promotional status Previous promotional status Current display status Previous display status Display status of competing brands Promotional status of competing brands Coupon used: Yes, no Coupon available: Yes, no Coupon available for other brands? Yes, no Amount of coupon
ANALYSIS
MARKET RESEARCH
Lars Perner, Instructor
3
IMPACT OF INTERNET ON MARKET RESEARCH
Information not previously collectible Speed and reduced cost Large scale data collection Access to new customer groups Observation of consumer interaction
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
4
Information Not Previously Observable
Traditional questionnaires relied on questions Now possible to measure behavior—e.g.,
Time spent Number of products browsed
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
5
Possibilities That Overlap With Scanner Data
Analysis of purchase history Assess impact of
Price Price of competing product Featured “space” Promotion
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
6
Cost and Efficiency
Reduced “interviewer” costs
No travel Customer does the entry work
Increased speed
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
7
Large-Scale Data Collection
Lower cost means more cost effective opportunities to collect data Larger sample size reduces sampling errors Data can be briefly collected through online visits for other purposes
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
8
Access to New Customer Groups
Access to
Time constrained professionals Consumers in remote geographic areas
Value of new customer groups Representativeness of general population studies
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
9
Observation of Interaction
Examining word of mouth
Visits to chat rooms Examination of postings on web sites and Usenet groups
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
10
Data Analysis Tools: Data Mining
Use of “brute force” power to find relationships Feasible because of the low cost of data processing Chance results: When much data is examined, coincidence may stand out
Need for replication through “hold back samples”
MARKET RESEARCH
Lars Perner, Instructor
MKTG 476
11
Data Analysis: Other
Test of hypotheses/assessments of magnitudes
Logistic regression: Flexible data analysis method requiring large data sets Real-time data Immediate feedback on current results Opportunities for
Inventory adjustments Price/promotion adjustments
Analysis of individual-level data
MARKET RESEARCH
Lars Perner, Instructor
MKTG 476
12
Types of Online Research
CUSTOMER CONTACT NO CUSTOMER CONTACT
QUALITATIVE
QUANTITIAVE
Online focus groups In-depth interviews Surveys
Search log analysis
Click pattern analysis
Lars Perner, Instructor
MKTG 476
MARKET RESEARCH
13
Online Focus Groups
Methods
Large set-up cost methods
Teleconferencing Home-based “web cam” and microphone setup
Lower cost:
Online “chat” format
Impact of non-verbal communication
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
14
Search Log Analysis
Unmet demand—search for product not found on siste Brand identity—search for discontinued brand Message comprehension—comparison of search terms to media message Consumer vocabulary Feedback analysis Forecasting opportunities based on seasonal changes
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
15
Surveys
Conditional branching—direct skip to relevant question Quality of response
Time pressures Willingness to write out answers or respond to multiple closed-ended questions Willingness to read and follow instructions
Reliability and browser compatibility issues
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
16
Click-Stream Analysis
Analysis of “clicking” path—how does the consumer get to a desired page or product? Advertising as traffic generator evaluation Shopping cart analysis
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
17
Online Market Research Concerns
Representativeness of
Population—are relevant groups reached in desired proportions? Sample—even if the desired population is reached, do respondents respond in desired proportions?
Consumer acceptance of research—is this regarded as spam? Panel recruitment Privacy
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
18
Excel, Part II
Graphs
Line Bar Pie
Copying graphs to other applications Scenario analysis Optimization
MKTG 476
MARKET RESEARCH
Lars Perner, Instructor
19