IT 204: E-Commerce
By the end of this chapter, you will be able to:
Marketing is no longer just about who you target, but also where and when.
Key Insight: Local and location-based marketing connect the digital world to the physical world, creating timely and highly relevant customer experiences.
These strategies allow businesses to reach customers with pinpoint accuracy, driving foot traffic and sales.
Click each scenario card to reveal whether location is the primary marketing driver.
Definition: A strategy that targets consumers within a specific radius of a business's physical location. Also known as neighborhood or local store marketing.
Definition: A strategy that uses a mobile device's real-time location to trigger marketing actions and deliver personalized offers.
Google My Business is now Google Business Profile. Original activity terminology retained.
Click a tactic, then click the correct bucket. Score shown when all 6 are placed.
Illustrative Kathmandu café: match each decision to a method. Discuss before revealing.
The business decision comes first; buying location technology comes second.
Definition: A broader marketing strategy that uses geographic data and intelligence to inform marketing decisions.
Geomarketing analyzes data to understand...
Think of it as the strategic analysis, while LBM is the tactical execution.
A boundary alone cannot notify every passing phone: permissions, eligible app/service and operating-system conditions are required. Positioning is approximate.
Geofencing: The use of GPS or RFID to create a virtual geographic boundary, enabling software to trigger a response when a mobile device enters or leaves a particular area.
Will every phone crossing a 200 m circle receive an offer?
No. A drawn boundary is not permission, a guaranteed delivery channel or exact positioning.
BLE broadcasts an identifier; it does not automatically identify a shopper or deliver a coupon. Range/accuracy and background operation vary.
Beaconing: Uses small, low-energy Bluetooth devices (beacons) to broadcast signals to nearby smartphones, enabling highly granular, indoor location-based interactions.
Illustrative randomised pilot: two comparable groups of 200 eligible users; one receives the offer, one does not. Measure purchases over the same period.
| Group | Users | Purchases |
|---|---|---|
| Offer | 200 | 30 |
| Holdout | 200 | 20 |
Purchase rates: 30 ÷ 200 = 15%; 20 ÷ 200 = 10%.
Estimated lift = 5 percentage points, or 10 extra purchases. It is not 30 incremental sales.
A small pilot is uncertain; repeat before scaling. Keep groups comparable and avoid mixing exposure.
Use the illustrative pilot: 10 estimated extra purchases. Each contributes Rs 200 before the promotion. All 30 offer-group purchases redeem a Rs 50 discount; campaign operation costs Rs 300.
Redemptions can look impressive while profit barely improves. Existing buyers receive discounts too.
Status update: Tootle is DOWN (inactive historical comparison). Pathao and Foodmandu are live service examples; the nearby affiliate-push scenario is illustrative, not a verified feature of either app. Radius options vary by account/campaign.
While still developing, local and location-based marketing is a growing trend. Here's how it's being used:
Essential for local SEO. Businesses create free listings to appear in Google Search and Maps, attracting nearby customers searching for their services.
Businesses run ad campaigns targeted to users within a specific city, neighborhood, or even a 1km radius around their store, maximizing ad relevance.
Apps like Pathao and Tootle use location data to send push notifications for partner restaurants or stores when a user is nearby, promoting affiliates.
Historical note: Tootle is DOWN (inactive). Pathao and Foodmandu are live examples; the nearby affiliate-push scenario is illustrative, not a verified feature of either app.
Pair task: a hungry visitor searches for a nearby café. Design a trustworthy route to the correct branch.
Near-me discovery does not require the café to receive the visitor's continuous location history.
Crucial Factor: Businesses must be transparent with customers about data usage and provide clear value in exchange for location sharing to build trust.
Illustrative proposal: a café wants to keep every customer's location trail forever to improve lunchtime offers. What would you change?
Permission is not a licence to collect everything. This is design guidance, not a statement of Nepal's legal requirements.
Illustrative store pilot: a customer stands beside a beacon but receives nothing. Give three possible explanations.
A beacon broadcasts an identifier; it does not automatically know a shopper's identity or send a coupon to every phone.
Choose a nearby business. State its goal, local or location-based tactic, permission needs and one success measure.
What would make you stop the pilot?
Example: a restaurant corrects its branch listing and menu, then tests whether qualified enquiries improve; it does not claim every direction request is a sale.
Reject campaigns that need intrusive tracking but cannot explain additional customer value.
Short answer
Long answer
Revise the answers in the full note.
Any questions?
Next Topic: Unit 6: "Case Study: Local SEO for a Kathmandu Restaurant Chain"