Manual A/B testing is more common than the industry conversation suggests. Teams with custom stacks, limited budgets, or compliance constraints run experiments without dedicated platforms every day, using feature flags, custom scripts, analytics tools, and ad-platform experiments to get the job done. The appeal is obvious: more control, no additional platform costs, and the flexibility…