Marketing Notes Chap 1 P.2

Four activities that make firms value-driven

• Focus on four interconnected activities to become value-driven:
  • Gather vast quantities of information about customers and competitors.
  • Analyze and share it across the firm and with external partners involved in delivering the product/service (e.g., manufacturers, transportation companies).
  • Balance benefits and costs of offerings for the firm, customers, and society as a whole.
  • Build relationships with customers and leverage new technologies to engage through digital, social, and mobile media channels.

Gathering and Sharing Information

• In a value-based, market-oriented firm, marketers collect and share information about customers and competitors.
• Modern marketers rely on sophisticated data analytics to define and refine approaches to customers and markets.
• Big data growth brings challenges; Marketing Analytics boxes in the textbook discuss implications for organizations, firms, and customers.
• Examples of data collection and analysis:
  • Starbucks, Netflix, and Amazon collect massive data on how/when/why/where/what people buy, then analyze data to inform decisions.
  • Marketing Analytics 1.1: Location analytics for Starbucks—how data informs store location decisions.
• Starbucks case: Location, Location, Analytics
  • Starbucks has over $33{,}000$ locations in more than $68$ countries, and aims to reach $55{,}000$ stores by $2030$.
  • GIS (geographic information system) data is used to identify ideal locations with high traffic to boost sales. The GIS data includes location information and demographics, analyzed against pertinent criteria.
  • GIS is accessible via desktop and mobile devices, enabling field experts to combine analytics with their real-world observations.
  • GIS helps determine not only where to open stores but what types of stores (e.g., drive-through windows; smaller, conveniently placed stores).
  • Recent results show newly opened stores, especially in the Americas, delivering strong returns and exceeding hurdle rates (the minimum rate of return on a project).
• Integration of information across the company is critical:
  • Zara case: Fashion designers collect purchase information and study customer trends to predict what will be worn in the next weeks.
  • Logisticians use the same purchase history to forecast sales and allocate merchandise to stores.
  • Cross-functional sharing ensures promotions align with merchandise and distribution plans; lack of sharing would undermine promotions and stock delivery.
• Notes on data integration and cross-department coordination are emphasized as critical for success.
• References to Starbucks’ and Zara’s practices illustrate how data sharing across departments supports accurate forecasting and timely execution.
• In the literature, Marketing Analytics 1.1 and the Starbucks Location case demonstrate the practical importance of GIS and data sharing for strategic decisions.
• Ethical & Societal Dilemma 1.1 is introduced to discuss the broader implications of corporate data and sustainability choices.
• For CRM and data sharing references, see annotations 25 and 26 (CRM is a business philosophy and set of strategies, programs, and systems for identifying and building loyalty among valued customers).

Balancing Benefits With Costs

• Value-oriented marketers measure benefits perceived by customers against the costs of the offering.
• They use customer data to identify opportunities to better satisfy needs and foster long-term loyalty.
• Industry examples illustrating a value-based orientation:
  • IKEA emphasizes low prices and good design; customers can assemble products themselves due to simple designs.
  • Canadian Tire and Walmart have outperformed other department stores.
  • WestJet Airlines and Southwest Airlines have outperformed mainstream carriers.
• The balance of benefits and costs is central to creating sustained customer value and loyalty.

Building Relationships With Customers

• Marketers increasingly view customers in terms of relationships rather than transactions (relationship orientation).
• Key concept: lifetime value of the relationship, not just revenue from a single transaction.
• Approach: Customer Relationship Management (CRM) — a philosophy, programs, and systems focused on identifying and building loyalty among the firm’s most valued customers.
• Firms employing CRM systematically collect information about customers’ needs and target their best customers with products, services, and promotions aligned with those needs.
• Some CRM initiatives aim to benefit society more broadly, but ethical and societal considerations may arise (see Ethical & Societal Dilemma 1.1).

Ethical & Societal Dilemma 1.1: After Axing Straws, Starbucks Faces Criticism

• Starbucks committed to eliminating single-use plastic straws and changing cup designs to reduce environmental impact.
• Straws will be available on request; strawless lids and alternative materials (paper or compostable plastic) are being introduced.
• Canada implementations: Greener to-go cup piloted in Vancouver; strawless lid debuted in Toronto.
• Critics’ perspectives:
  • Environmentalists applaud the move for raising awareness and reducing plastic use, but some argue the actions are insufficient.
  • Some contend the changes could worsen environmental impact due to New materials and recycling challenges.
• Material considerations:
  • Lids and straws involve polypropylene, a plastic type that is difficult to recycle in many facilities.
• The Starbucks case illustrates the tension between sustainability goals, consumer behavior, and recycling infrastructure.

Starbucks and GIS: Practical Details (Summary)

• Atlas GIS by Esri (developed in the 1990s) supports predictive analytics for store placement.
• GIS evaluates weather, demographics, population density, proximity to other stores, traffic, and more.
• The system provides graphical map-based summaries that combine location and demographic data with relevant criteria to identify ideal sites.
• The technology supports decision-making on store type and location to maximize traffic and sales; it is accessible to field staff via desktops and mobile devices.
• Real-world outcomes suggest that newer stores—particularly in the Americas—are delivering strong returns.

Zara: Cross-Functional Data Sharing (Illustrative Example)

• Designers collect purchase data and customer trend information to forecast upcoming demand.
• Logisticians use the same data to forecast sales and allocate merchandise to individual stores.
• Sharing and coordination of information across advertising, product development, and logistics are essential for successful promotions and inventory management.
• Hypothetical risk: If departments (e.g., advertising) plan promotions without sharing sales projections with merchandise and logistics, the promotion may fail due to misaligned supply.

Connections to Foundational Principles and Real-World Relevance

• Data-driven decision making is central to value creation in modern firms.
• Cross-functional collaboration and information sharing enable more accurate forecasting, better customer targeting, and efficient delivery of products and services.
• Relationship marketing (CRM) shifts focus from short-term transactions to long-term customer value and loyalty.
• Technological enablers (GIS, analytics, mobile access) facilitate real-time insights and flexible strategic responses.
• Ethical and societal considerations arise when pursuing value, requiring evaluation of environmental impact, recycling infrastructure, and broader social outcomes.

Quick Reference: Key Terms and Concepts

• Value-driven firm: An organization that emphasizes delivering benefits to customers and society while managing costs.
• Big data: Vast and varied data sets analyzed to reveal patterns, trends, and associations, especially relating to human behavior and interactions.
• GIS (Geographic Information System): A system that analyzes geospatial data to inform decisions about locations, demographics, and related factors.
• Atlas (Esri): A GIS platform used by Starbucks for location analytics.
• Hurdle rate: The minimum rate of return on a project required for approval.
• CRM (Customer Relationship Management): A philosophy and set of strategies, programs, and systems for cultivating long-term customer relationships and loyalty.
• Ethical & Societal Dilemma 1.1: A case study exploring the environmental and societal implications of Starbucks’ sustainability actions (straws, cups, recyclability).
• Location analytics: The use of GIS and related data to determine optimal store locations and formats.

Connections to References and Figures in the Source

• Marketing Analytics 1.1: Location, Location, Analytics—Starbucks’ use of data to place new stores.
• Empirical notes about Starbucks’ pre-pandemic expansion challenges and the data overload that hampered profitable decision-making.
• Examples of cross-functional sharing in Zara and the importance of synchronized marketing, merchandising, and logistics.
• References 25 and 26: CRM concepts and their role in targeting loyal customers (CRM as a philosophy and system).

Formulas, Equations, and Numerical References

• Store count and geographic scope:
  • $ext{Locations} = 33{,}000$
  • $ext{Countries} = 68$
• Growth target:
  • $ext{Target stores by 2030} = 55{,}000$
• Return metrics:
  • Stores have been reported to exceed hurdle rates, where the hurdle rate is the minimum acceptable rate of return for a project (no explicit numeric formula provided in the transcript).
• Note: All numerical references above come directly from the transcript content.