Google Maps Monetisation - Case Study

Analysed monetisation opportunities within Google Maps by leveraging high-intent user behaviour and location context. Designed a system of geo-triggered, personalised recommendations and sponsored placements that align with user intent rather than interrupt it. The approach balances revenue generation with user trust, focusing on contextual discovery, conversion-based pricing models, and enhancing decision-making for users in real time.

1. Type

Monetisation Strategy / Product Sense

2. Role

Product Manager

3. Focus Area

Location-Based Monetisation

4. Skills

Product Strategy, Monetisation, User Behaviour Analysis, Marketplace Thinking, Product Analytics

5. Metrics

ARPU, CTR, Conversion Rate, Store Visits, Retention

6. Tools Used

Analytics, Mapping Logic, AI, Behavioral Modelling

7. Platform

Mobile App • Consumer Platform • Geo-Tech

Framework

Product Sense • Revenue Optimization

8.  Understanding Goal

Google Maps = high intent platform

Goal: Monetise without harming UX

9.  Core Insight

Users come with:

• Intent (search/query) 

• Context (location/time) 

This is high-value monetisation surface

10.  Solution

   I.  Geo-Fenced Intent Ads

Logic:

• Trigger when:

  • User has intent history

  • User is near relevant location

Example:“Nearby burger place with 20% discount”

  II.  Ranking Engine Integration

• Paid listings integrated into recommendations

• Still relevance-based

III.   Conversion-Based Pricing

• Pay-per-visit model

• Verified via GPS signals

11.  North Star Metric

Revenue per Active User (ARPU)

12.  Supporting Metrics

• CTR on recommendations

• Store visit rate

• Conversion rate

13.  Guardrails

• User trust score

• App retention

• Notification opt-out rate

14.  Trade-offs

• Monetisation vs trust

• Personalisation vs privacy

15.  Final Insight

Monetise intent, not attention