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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."

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