A reference price is the expected and acceptable price range that a consumer is willing to pay for a particular product and/or brand. There are two types of reference prices that marketers need to be aware of. These are: internal reference prices and external reference prices.
This is a detailed step-by-step walk-through of how to create the BCG matrix in Excel 365. It also includes an instructional video.
The lexicographic decision rule is the simplest decision approach, as consumers are focused upon the most important individual product attribute to them and choose the product offering that best meets that one single attribute.
The elimination-by-aspects decision rule is a non-compensatory approach to decision-making for consumers. This decision rule works much like a knock-out competition. A consumer will work through the product attributes being considered one by one – starting with the most important product attribute to them.
The disjunctive decision rule is a non-compensatory approach that considers selected product attributes that are important to the consumer. It differs to other decision rules because, with this rule, the consumer is willing to trade-off attributes.
The affect referral decision rule is considered a non-compensatory approach to decision-making for consumers. However, it is quite unique from the other non-compensatory decision rules in that it does NOT rely upon the evaluation of individual product attributes
When using the conjunctive decision rule, consumers will seek a combination of select product attributes which all must meet a minimum score (or a certain standard of performance in the consumer’s assessment).
Non-compensatory decision rules are used by consumers when evaluating products. Find out about conjunctive, disjunctive and other rules.
Find out how compensatory decision models work. In short, they look at the overall product offering considering all product attributes.
This is a free Excel template tool that enables you to produce a PESTLE analysis within minutes. Choose from 400 factors or add your own.