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3 Monetization Projects
Launched in 6 Months
Defensive Growth Roadmap for Open Source TechCo
AI/LLM StrategyRevenue DefenseScenario ModelingTechnology
Context
Top-5 global open source tech company heavily dependent on search revenue. Engaged late 2023 to assess LLM disruption risk and develop a response strategy.
Challenge
Large language models were threatening the company's core search revenue model. Needed to quantify the impact and build a strategy that preserved value during the transition.
Approach
- 01Deep analysis of LLM market: at the time, LLMs primarily used for information gathering while revenue-generating commercial searches were less impacted
- 02Modeled expected impact: ~25% decline in paid search volume, ~20% revenue decline due to user mix shift
- 03Recommended aggressive cross-selling of underutilized products (e.g., mailing client) to existing user base
- 04Recommended building own LLM capability to own the search experience and serve ads within AI interactions
- 05Built scenario models to quantify revenue stabilization potential across multiple strategic pathways
Results
Strategy projected to stabilize revenue by 2029-2030 at 2024 levels despite market headwinds
3 new monetization projects launched within 6 months
Clear quantified roadmap for managing the transition
Key Insight
"Defensive strategy isn't about stopping decline - it's about controlling the rate and finding offsetting growth vectors."