Harshita Adlak
Create Your First Project
Start adding your projects to your portfolio. Click on "Manage Projects" to get started
Improving Monetization & Engagement of LinkedIn
1. Problem
LinkedIn has successfully built a large professional network with high user acquisition. However:
- A significant portion of users remain inactive after initial onboarding
- Premium conversion rates are relatively low compared to total user base
- Users struggle to see continuous value unless actively job searching
The core issue: Low engagement consistency + weak monetization linkage
2. Why This Matters
Monetization is heavily dependent on Premium subscriptions and recruiter tools
Low engagement reduces:
- Subscription conversion
- Ad revenue
- Network effects
Improving retention by even 5% can significantly increase revenue at scale
3. Root Cause Analysis
Key Gaps Identified:
- Lack of Personalized Value: Feed is generic and not goal-oriented
- No Clear User Journey: Users don’t know “what to do next” after login
- Weak Premium Triggers: Premium feels optional, not essential
- Limited Habit Formation: No daily or weekly engagement loop
4. Product Strategy
Objective: Increase user retention + premium conversion by creating a goal-driven experience
Strategy Pillars:
- Personalization
- Guided User Journey
- Value-led Monetization
- Habit Formation
5. Solution Design
- AI-Powered Career Dashboard
A personalized dashboard showing:
Profile strength score
Job match insights
Network growth opportunities
This will make value visible and actionable.
- Goal-Based Onboarding
Users choose intent:
“Get a job”
“Hire talent”
“Build personal brand”
This will adapt feed + recommendations accordingly
- Smart Engagement Nudges
“3 people viewed your profile, connect now”
“You’re 70% complete, finish profile to get 2x visibility”
This drives micro-actions into building habit.
- Contextual Premium Upsell
Instead of generic ads, Show Premium when:
User views multiple profiles
Applies to multiple jobs
Wants deeper insights
By this monetization becomes natural, not forced.
- Expected Impact
+20–30% increase in Premium conversion
+15–25% increase in weekly active users
+20% improvement in user retention
Increased lifetime value (LTV) per user
- Experimentation Plan
A/B test:
Dashboard vs no dashboard
Personalized vs generic feed
Track:
Conversion rate
Retention (Day 7, Day 30)
Engagement per session
- What I’d Do Next
Build creator monetization ecosystem
Introduce micro-learning tied to job outcomes
Enable AI career coaching assistant

