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Optimal Traffic Allocation Under Heterogeneous Variant Cost

Optimal Traffic Allocation Under Heterogeneous Variant Cost

Why the default 50/50 split is the wrong move when your treatment is more expensive than your control, and how cost-based sampling weights fix it

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Tagged with

#traffic allocation
#cost-based sampling
#heterogeneous variant cost
#variant cost
#control group
#treatment group
#sampling weights
#50/50 split
#optimization
#A/B testing
#statistical significance
#experiment design
#data science
#cost optimization
#resource allocation
#variant
#control
#sampling
#weights
#split testing