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Is anyone able to point me to some resources on how to use a single feature to roll out two experiments, with different attribute targeting and different splits (i.e. experiment one targets group A 50/50 and experiment two targets group B 25/75 both based on the same feature)

We've got one set up and running, but it is targeting all customers at the 25/75 rate roughly and it seems a small portion of customers are ending up in multiple variants

the rules stack, and the first matching rule is used

so if you add multiple exp rules, and the first targets some user attribute, the second exp rule will have all those first exp users excluded

the other way would be to run one experiment

and use dimensions or segments on the experiment reports to see the impacts on certain segments/users