Entrepreneur · Author · Business Educator
Sahil Khanna
Sahil Khanna is an Indian entrepreneur, business educator, and creator known for Intellectual Indies and Lapaas. At Indies Education, he turns business research and operating experience into rigorous, practical lessons.
- 684
- Published lessons
- 1M+
- Primary-channel subscribers
- 2017
- Intellectual Indies founded
Background and practice
From engineering fundamentals to practical business education
Sahil’s published profiles describe a transition from chemical engineering into marketing and management. That combination—systems thinking from engineering and commercial judgment from business—continues to shape how he explains complex ideas.
He founded Intellectual Indies in 2017 and built it into a business-learning content ecosystem covering company case studies, startups, marketing, strategy, and candid founder conversations. He also founded Lapaas, a New Delhi digital-marketing and education business. Sahil describes his entrepreneurial journey as including the eventual exit from the agency he built.
Across workshops, courses, consulting, and digital media, Sahil’s work has reached students, startup founders, legacy-business owners, and operating teams. His primary Intellectual Indies channel has more than one million subscribers. Sahil’s public profiles describe a combined audience above two million across his content ecosystem, while Lapaas course pages report more than 140,000 entrepreneurs reached through its educational work.
At Indies Education, Sahil serves as author and lead educator. Every lesson is designed to go beyond definitions: readers should understand the mechanism, examine evidence and limits, apply a framework, and leave with an action plan and checklist.
Elsewhere
Profiles and source notes
Written by Sahil Khanna
Latest business lessons
Evidence-led chapters designed to move from understanding to action.
Ambush Marketing
Ambush marketing seeks attention around an event without purchasing official sponsorship rights, but practices range from lawful context to deceptive affiliation. This chapter explains sponsorship economics, association mechanisms, trademark and contract risk, ethics, governance, measurement, and responsible creative alternatives.
Analytical Marketing
Analytical marketing turns customer and market evidence into better choices about targeting, offers, channels, timing, and investment. This chapter covers metric contracts, causal inference, prediction, experimentation, attribution, unit economics, uncertainty, privacy, model governance, and operational learning.
Article Marketing
Article marketing can build expertise and demand when articles resolve real audience questions and earn distribution. This chapter replaces the old mass-submission model with original research, editorial quality, author authority, ethical syndication, search compliance, conversion design, maintenance, and measurement.
B2B Marketing
B2B marketing serves organizations whose purchases involve multiple roles, constraints, and risks. This chapter explains market selection, buying groups, category demand, evidence architecture, account strategy, sales alignment, implementation, measurement, and the shift from lead volume to durable customer value.
B2C Marketing
B2C marketing connects brands with individuals and households across diverse buying occasions, channels, and time horizons. This chapter covers market penetration, consumer behavior, brand memory, physical availability, pricing, experience, media, experimentation, retention, privacy, and responsible growth.
B2P Marketing
B2P, or business-to-people marketing, is a practitioner label rather than a settled academic category. This chapter preserves its useful human-centered principle while integrating buying roles, institutional constraints, trust, customer experience, service, evidence, privacy, and accountable value delivery.
Behavioral Marketing
Behavioral marketing uses observed actions and context to shape messages, offers, and experiences. This chapter explains behavioral evidence, hypotheses, experiments, choice architecture, sequencing, incrementality, privacy, discrimination, dark patterns, vulnerable users, governance, and responsible limits.
Investor relations: Practical MBA Guide
A rigorous practical guide to investor relations, combining a defensible decision model, worked business case, implementation sequence, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators turning analysis into coordinated action.
Build a Venture Capital Investor Approach Sheet
A rigorous, practical guide to prepare a decision-grade investor approach sheet that connects financing need, venture evidence, investor fit, outreach, diligence readiness, and governance. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated action.
Accelerator vs Incubator: Choose the Right Support
A rigorous, practical guide to choose among accelerator, incubator, venture studio, coworking, grant, or independent execution based on stage, constraints, evidence, economics, and programme quality. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis into coordinated.
Fundraising Through BSE: A Readiness Guide
A rigorous, practical guide to evaluate whether a BSE main-board or SME public issue fits the company and prepare governance, disclosure, adviser, eligibility, issue, and post-listing readiness. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn analysis.
BSE Listing Explained: What, Why and How
A rigorous, practical guide to understand what a BSE listing is, why a company might pursue it, how the regulated path works, and what continuing governance it requires. It combines a defensible decision model, a worked business case, implementation steps, measurement architecture, ethical guardrails, leadership questions, and field exercises for operators who need to turn.