Behavioral Response To Price
Sep 09, 2023 | Aryan Sainath
Elasticity and Price Sensitivity
Price responsiveness, which is another name for price
sensitivity, describes how customers respond to changes in a product or
service's price. Data analysis can show how sensitive to price certain client
categories and items are. Retailers may determine the best pricing changes to
make in order to increase revenue by knowing price elasticity. In order to
maximize sales, future studies can dive more into the variables affecting price
sensitivity.
Pricing References and Anchoring
Consumers who exhibit the cognitive bias known as
"anchoring" tend to base their evaluation of future alternatives
strongly on the initial piece of information they are given. Retailers may
intentionally employ anchoring in the context of price to affect how consumers
perceive value. Reference pricing, like the difference between the original and
lowered prices, can also affect customer behavior. Retailers may improve their
promotional strategy by choosing appropriate anchoring points and reference
prices with the use of data-driven insights.
Economic behavior and the nudge theory
The field of behavioral economics studies how psychological
biases affect economic judgment. According to the nudge theory, even minor
adjustments to the way options are presented may have a big influence on how
people choose. Retailers may use data analytics to find trends in consumer
behavior and create price plans that influence customers' decisions to buy.
Future studies in this field might examine creative approaches to incorporating
behavioral economics concepts into pricing strategies.
Bundling of prices and add-ons
The act of selling several goods or services at a single low
cost is known as bundling. On the other hand, add-ons entail providing more
goods or services at the moment of purchase. Data-driven research can help
retailers identify the most appealing bundling and add-on strategies to
stimulate customer interest and increase average order value.
Pricing and Online Purchasing Patterns
Customer shopping patterns have changed as a result of the
growth of e-commerce, which also impacts how price affects customer behavior.
Understanding how online customers react to dynamic pricing, promotions, and
shipping charges may be done through data analysis. Retailers may utilize this information to streamline customer shopping experiences and improve their
online pricing strategies.
The main four aspects in review on data-based insights in
the area of behavioral response price are:
Perception of Price Fairness:
Consumers' subjective assessment of whether a product's
price is reasonable, just, and equitable in proportion to the perceived worth
of the item is known as the perception of fairness pricing. Consumers'
perceptions of fairness are extremely important in determining their buying
decisions and level of happiness with a good or service.
What Affects How Fairness Is Perceived?
Reference Price: Consumers frequently compare a
product's current price to a reference price, which can be the product's
previous price, the current market price on average, or the cost of comparable
goods from rival brands. Consumers can consider it unfair and be less inclined
to buy if the current price is much higher than the reference price.
Price-Quality Relationship: Consumers may believe
that more expensive products are of greater quality. Consumers may think the
product is substandard or that there is a hidden problem if the price is too
low relative to the expected quality, raising issues about fairness.
Transparency: Clear cost and discount breakdowns,
among other transparent pricing methods, improve consumers' perceptions of
fairness. On the other side, obfuscated pricing or hidden costs may make
consumers wonder whether a price is reasonable.
Consumer Expectations: Consumer expectations regarding price, which are influenced by prior experiences and market standards, can greatly affect how fairness is perceived. Unexpected price rises or changes in pricing may be considered unjust.
Reference Price
Consumers use the reference price to contrast the actual
selling price of a good or service. Consumers may determine if the current
pricing is a good bargain or reflects a fair value for the goods using this
comparison. Reference pricing can come from sources both internal (consumers'
memories) and external (advertising, promotions, or competition prices).
Different Reference Price Types:
Internal Reference Price
Based on their prior interactions with the goods or
comparable products, customers have an internal reference price in mind. Their
opinions of a fair price range for the product category, past prices paid, or
memories of prior purchases might all contribute to this.
External Reference Price:
External signals including advertising, promotional materials, and rival prices serve as external reference prices. Retailers frequently employ strategic usage of external reference pricing to affect how discounts and value are perceived by customers.
Latitude of Acceptance:
The price range that customers deem to be reasonable and
acceptable for a product is known as the latitude of acceptability. It is the
price range where buyers are prepared to make a selection without having any
reservations about fairness. Depending on a person's tastes, the type of goods,
and the broader economic environment, the latitude of acceptability might
change.
What Determines Latitude of Acceptance?
Income: People with greater salaries could be more
accepting of higher costs for premium goods and more inclined to do so.
Merchandise Category: Price sensitivity varies across
different product categories. Consumers may have a tighter range of acceptance
for necessities like groceries while having a greater latitude of acceptance
for luxury goods.
Rivalry: The degree of market rivalry might affect customers' acceptability levels. Customers are more inclined to anticipate reduced prices in marketplaces with intense competition, which results in a smaller acceptability range.
Asymmetrical Response
When a third, less desirable choice is presented, customers'
preferences for two items change, a cognitive bias known as asymmetric
response, also known as asymmetric dominance or the decoy effect. This third
choice, sometimes referred to as the decoy, is intended to intentionally make
one of the initial alternatives appear more enticing in contrast.
Example: Consider a buyer who chooses between laptops A and B.
The performance of laptop A is superior, yet it costs more than laptop B. Which
laptop to buy is up for debate among consumers. Now the merchant offers laptop
C, which performs worse and costs about the same as laptop B. The decoy (laptop
C) is often avoided by customers, who switch their loyalty to laptop A because
they perceive it to be a better value than laptop B.
Retailers can use the asymmetric reaction to sway customers' decisions and steer them toward particular goods they want to advertise. To increase sales and profits, this bias is frequently employed in pricing schemes and product positioning.
The perception of fairness price, reference price, latitude
of acceptance, and asymmetric response are crucial concepts in understanding
consumer behavior in response to pricing. Retailers can utilize these insights
to design effective pricing strategies, communicate value to consumers, and
create a positive shopping experience that aligns with consumers' fairness
perceptions and preferences. By taking into account these factors, retailers
can build trust, loyalty, and long-term relationships with their customers.
Conclusion
With improvements in technology and data analytics, consumer
behavior in reaction to price is a dynamic and multidimensional topic that
keeps changing. Retailers might gain a competitive edge in the market by
comprehending price sensitivity, utilizing psychological pricing approaches,
and tailoring pricing strategies. Future studies should concentrate on
investigating how behavioral economics and pricing interact as well as the
moral implications of tailored pricing. Retailers can develop strong pricing
strategies that resonate with customers, boost sales, and encourage long-term
customer loyalty in the constantly changing retail environment by leveraging
data-based insights and staying ahead of the most recent research.
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