Why People Buy

📅 July 15, 2026
⏱️ 5 min read
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Why People Buy

People don't buy products. They buy trust, emotions, experiences, and stories.

Great design doesn't just make brands look attractive, it influences decisions, shapes perception, and drives business growth. Every visual element, interaction, and brand touchpoint plays a role in why customers choose one product over another.

In this insightful masterclass, Avanish Singh, Founder of Goodfox & Co., explores the psychology behind consumer behavior and reveals how design and marketing work together to influence purchasing decisions. Through practical examples and real-world case studies, you'll learn how thoughtful design creates lasting brand impact.

This isn't just a marketing session. It's about understanding the science behind why people buy and how great design becomes a business advantage.


What You Will Learn

  • The psychology behind buying decisions
  • How design influences trust and perception
  • Branding beyond logos and colors
  • Why storytelling drives customer action
  • The relationship between design and marketing
  • Creating memorable customer experiences
  • Building brands that people remember
  • Real-world examples of successful marketing campaigns
  • How strategic design drives business growth
  • Future trends in branding and consumer behavior

Who Should Attend

  • UI/UX Designers
  • Graphic & Brand Designers
  • Marketing Professionals
  • Entrepreneurs & Founders
  • Product Designers
  • Design & Business Students
  • Creative Professionals
  • Anyone interested in branding, marketing, and consumer psychology

Speaker

Avanish Singh

Founder, Goodfox & Co.

Avanish Singh is the Founder of Goodfox & Co., a branding and marketing consultancy helping businesses grow through strategy, creativity, and systems. With over 8 years of experience across branding, performance marketing, data analytics, automation, and events, he combines analytical thinking with creative storytelling to build brands that people remember.

He believes that great design isn't just about making things look good, it's about making ideas impossible to ignore.


Event Details

📅 Date: 17th July 2026

Time: 3:00 PM – 4:00 PM (IST)

💻 Mode: Online (enCODE Platform)

Interactive Session • Consumer Psychology • Real-world Case Studies • Live Q&A • Branding & Marketing Strategy




Frequently Asked Questions

How does AI-driven personalization improve learning outcomes on enCODE?

Personalized learning at enCODE leverages machine learning models to analyze individual learning speeds, concept retention, and engagement styles. By understanding these metrics, our platform dynamically recommends custom reading paths, adjusts hands-on exercises, and serves practice challenges at the optimal level of difficulty. This customized feedback loop ensures students don't get bored by topics they have already mastered, nor do they get discouraged by advanced materials before they are ready, leading to significantly higher course completion rates.

Can enCODE's AI replace the value of human mentorship in education?

Absolutely not. enCODE uses AI to automate administrative grading, analyze data trends, and provide instant conceptual feedback. This actually frees up our industry mentors to spend high-value, quality time with students on deep-dive critiques, career direction, and complex problem-solving. AI serves as a powerful co-pilot that accelerates learning speed, but human mentors provide the crucial empathy, networking connections, and real-world guidance that machines cannot replicate.

What specific AI tools are integrated into the enCODE student workspace?

Students have access to an integrated AI assistant that operates within their coding, design, and writing workspaces. The assistant offers real-time syntax checking, interactive code explanations, design feedback based on UI principles, and writing suggestions. Furthermore, our AI helps students outline complex projects, identify performance bottlenecks in code, and simulate interview scenarios tailored to specific job descriptions from our industry partners.

How does the platform ensure that AI suggestions do not lead to plagiarism?

We emphasize AI as a learning facilitator rather than an automated content writer. The built-in AI workspace guides students through the problem-solving process by prompting them with structural questions and conceptual hints rather than direct solutions. Additionally, enCODE incorporates advanced code integrity check tools to ensure all submitted coursework represents original understanding and implementation by the student.

Are there prerequisites for students starting AI-powered courses on enCODE?

No, enCODE offers learning paths starting from absolute beginner levels. The platform's adaptive learning engine evaluates your background knowledge during onboarding and automatically configures foundation modules if needed. Advanced learners can test out of introductory concepts directly, allowing everyone to progress at their own comfortable and productive pace.

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