papers/earle-genetic-marketing/sections/99-conclusion.tex

\section{Conclusion}


Earle demonstrates that genetic algorithms effectively optimize digital marketing campaigns. By modeling campaigns as genomes and applying evolutionary operators, we explore the vast parameter space more efficiently than human intuition or bandit methods alone.

Production deployments show 34\% conversion improvement and 2.8$\times$ faster convergence. The system discovers non-obvious optimizations that would require extensive human experimentation.

Future work will incorporate reinforcement learning for dynamic bid adjustment and extend to multi-channel campaign coordination.

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