driven by data
Generation Z is taking a pragmatic and moderate approach to shopping — for now. However, the urgency is critical for retailers and brands — delight and hook Generation Z in their 20s and they will remain customers in their 30s & 40s. The race is on.
When consumers think about sustainable apparel they value the materials above all else. Most important to consumers are recycled materials, followed up by sustainable materials and ethically-sourced materials. Consumers view Low-emissions transportation, clothing buy-back programs, and vegan materials as the least important sustainable initiatives.
2019 State of Technology in Retail
Empowering Product Teams with Technology
In this special guest feature, Matt Field, President and Co-Founder of MakerSights, says there’s no denying that AI and ML are starting to change the nature of the retail industry. One of its greatest benefits will be in how intelligent automation can be used by humans to augment their jobs.
12 Business Decisions You Can Optimize With Conjoint Analysis
Pricing Research Methods
Conjoint analysis is one of the most popular market research methodologies for assessing how customers with heterogeneous preferences appraise various objective characteristics in products or services, which provides critical inputs for many marketing decisions, e.g. optimal design of new products and target market selection.
What We Have Learned from 20 Years of Conjoint Research: When to Use Self-Explicated, Graded Pairs, Full Profiles or Choice Experiments
Virtual Reality-Based Product Representations in Conjoint Analysis
Conjoint Analysis: Data Quality Control
Conjoint Analysis: An emerging tool in Market Research
Customer Preferences Using Conjoint Analysis
Reliability and stability of preference patterns obtained through conjoint measurement are examined by perturbing the stimulus structure and by repeating measurements after the passage of time.
- Centre for Industrial Engineering and Computer Science
- Alexandre Dolgui and Jean Marie Proth
In today’s competitive business environment unrealized gains erode profits because sellers cannot adequately determine what customers are willing to pay for product features.
This study compares the performance of four commonly used approaches to measure consumers’ willingness to pay with real purchase data (REAL): the open-ended (OE) question format; choice-based conjoint (CBC) analysis; Becker, DeGroot, and Marschak’s (BDM) incentive-compatible mechanism; and incentive-aligned choice-based conjoint (ICBC) analysis.
Four Retail Tech Expectations For 2019
The fulfillment of customers’ wishes in a profitable way requires that companies understand which aspects of their product and service are most valued by the customer. Conjoint analysis is considered to be one of the best methods for achieving this purpose.
Case Study: New Approaches to Product Line Decisions
Using conjoint analysis to determine customer willingness to pay for environmental initiatives in hotels in Helsinki
Forest ecosystems contribute to human welfare in important ways, but because of the nonmarket nature of many of the goods and services produced, both markets and governments fail to optimize their production commensurate with their economic and ecological significance.
Price is more than just a monetary value. Pricing is a critical factor in ensuring that your product yields the highest returns. Price too high, and the market won’t adopt your solution. Price too low, and you’ll risk cheapening your brand and leaving money on the table.
What are the differences between Conjoint Analysis and Factorial Survey?
New Way to Measure Consumers’ Judgments
Market researchers face two main challenges as they provide market intelligence for managers: to meet managers’ objectives with useful, valid results and to communicate those results effectively. Failure on either of these points is fatal.
Conjoint Analysis Case Study
The authors update and extend their 1978 review of conjoint analysis. In addition to discussing several new developments, they consider alternative approaches for measuring preference structures in the presence of a large number of attributes. They also discuss other topics such as reliability, validity, and choice simulators.