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Unit 7.case

Case Study: Facebook Marketplace – Informal Commerce in Nepal

IT 204: E-Commerce

Learning Objectives ✅

By the end of this case study you will understand how a social network feature evolves into a high‑liquidity informal commerce layer.

  • ✅ Map the end‑to‑end buyer and seller journey on Facebook Marketplace (Nepal context).
  • ✅ Identify trust mechanisms substituting for formal platform protections.
  • ✅ Connect behaviors to Unit 7 concepts: social networks, portals, auctions (implicit pricing).
  • ✅ Evaluate triggers that push sellers to formalize (pages, websites, inventory tools).

Why This Case Matters 🎯

Marketplace = Low Friction Experiment Layer. Individuals test product demand with almost zero setup cost before investing in formal infrastructure.

  • High daily active users → immediate reach.
  • Search + group surfacing → demand discovery.
  • Messenger → conversational negotiation replaces structured checkout.

Buyer Journey 🔍

Discovery Channels

  • Marketplace feed algorithm (recency + proximity).
  • Buy & Sell groups (niche: phones, furniture, rentals).
  • Friend shares & story reposts.

Decision Flow

  1. Scroll & skim photos / price anchor.
  2. Profile credibility check (age, mutuals).
  3. DM for condition / negotiation.
  4. Agreement → meet / delivery / COD.

Interactive: Buyer Decision Path Simulator

Choose a product category to trace a typical buyer journey on Facebook Marketplace Nepal.

Seller Operations ⚙️

Listing

Rapid photo capture, minimal structured data.

Price informed by scanning similar active listings (informal price discovery).

Negotiation

Messenger handles FAQs, bargaining, reservation promises.

Emoji / voice notes to build rapport.

Fulfillment

Pickup preferred for bulky items; riders / courier for small electronics.

Payment: COD, cash transfer at meet, or QR wallets (eSewa / Khalti).

Trust Mechanisms (Social Graph as Proxy) 🔐

Information asymmetry lowered by social context.

  • Profile age & activity → legitimacy heuristic.
  • Mutual friends → reputational spillover.
  • Group admin rules & ban threats → soft enforcement.
  • Photo evidence / video demo for electronics.

Interactive: Trust Signal Evaluator

Check all trust signals you can observe in this seller profile. Your trust score updates instantly.

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Platform Design Influence 🧩

Affordances

  • Auto-suggested categories accelerate listing.
  • Location filtering → hyperlocal liquidity.
  • Saved searches create return loops.

Limitations

  • No integrated escrow / warranty.
  • Limited structured specs for condition.
  • Conversation fragmentation across devices.

Interactive: Marketplace vs Traditional Commerce

Select a dimension to compare Facebook Marketplace with a traditional Kathmandu bazaar.

When Sellers Formalize 📈

Scaling forces process evolution.

  • Volume >10 items / week → spreadsheet or lightweight inventory app.
  • Repeat buyers → create Page for reviews + messaging funnel.
  • Need marketing attribution → migrate to website / catalog.
  • Desire to accept prepaid → integrate payment gateway.

Informal → Formal Transition Ladder 🪜

Stage 1

Ad hoc listings + DMs.

Stage 2

Consistent niche + group domination.

Stage 3

Branding (Page) + basic inventory tracking.

Stage 4

Standalone site (catalog, SEO, analytics).

Stage 5

Integrated logistics & digital payments.

Stage 6

Omnichannel + retention programs.

Interactive: Which Formalization Stage Is This Seller At?

Nepal-Specific Observations 🇳🇵

  • High reliance on COD keeps transactions conversational.
  • Rising QR adoption (eSewa/Khalti) beginning to shift negotiation leverage.
  • Trust gap for higher-ticket items → in-person inspection remains standard.
  • Seasonal spikes (Dashain/Tihar) drive temporary micro‑entrepreneur onboarding.

Interactive: Class Discussion Prompts

Reveal a prompt and type your initial thoughts before class discussion begins.

Key Lessons ⚡

Social graph lowers startup friction; formal systems emerge only when transaction complexity demands them.

  • Marketplace acts as experimentation & demand validation layer.
  • Trust proxies (mutuals, profile history) partially replace platform guarantees.
  • Informal negotiation = dynamic pricing similar to auction behaviors.
  • Formalization driven by scale, efficiency, and need for analytics.

Thank You 🙏

Next: Portals & Platform Strategy Deep Dive

Course Home | Unit 7 Overview