Brand Pricing Lab
October 10, 2020 / Time: 10:00 a.m. – 3:30 p.m. Online / ZOOM
Pre-Registration Form
CERTIFICATE
Upon completion of the training program, participants will receive a THAAT'S The Academy certificate. Don’t forget to register—space is limited!
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Who's here?
Brand Pricing Lab
This training program was designed by THAAT’S THE ACADEMY to provide a holistic, value-driven, and strategic perspective on pricing for your brand, and to offer insights—including examples—on unique and effective pricing strategies within the ever-changing dynamics of the business world.
By taking a holistic approach to pricing that considers all parameters—such as cost, competition, your brand’s perceived value, and environmental conditions—it also sheds light on the latest trends in the world of pricing.
Lessons
- What does price mean to different stakeholders?
- Why is price important? Why is the pricing decision so crucial?
- What are the factors that influence pricing decisions?
- Price-Cost Relationship – Basic Concepts
- The Relationship Between Price and Demand
a) Price Elasticity - Pricing Process
a) What factors are considered when setting prices?
b) Who is responsible for pricing within an organization?
- Pricing Strategies with Examples
a) The “Scoop the Cream Off the Market” Strategy
b) Market Penetration Strategy
c) Optional—Product/Service Pricing Strategy
d) Tied-Product Pricing Strategy
e) Package Pricing Strategy
f) The “Warring Brands” Strategy
g) The Sandwich Strategy
h) Good – Better – Best Strategy - Pricing Strategies / Tactics
a) Cash Discounts
b) Volume Discounts
c) Seasonal Discounts
d) Commercial Discounts: Rebates & Incentives
e) Psychological Pricing - The Advantages and Disadvantages of Price Discounts
- Behavioral Economics and Pricing
- Pricing in the Age of Technology
a) The Shift in the Balance of Power Brought About by the Internet: Is the Consumer the New King?
b) The Concept of Revenue Management
c) The Impact of Artificial Intelligence and Big Data on Pricing
i) Dynamic Pricing
ii) Personalization in Pricing
iii) Machine Learning
For more detailed information about the program, please contact Alper Barış.
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