experimentation Why you need continuous experiments In a previous post, I talked about conditioned experiments: unless you’re dealing with really huge sample sizes, you need to assign treatments based on all known variation in the
business The retention paradox Businesses need customers. That’s so obvious it hardly needs saying. Businesses grow through acquisition (new customers give you a try) and retention (past customers come back). That’s also
business Aampe's modular experimentation stack Here at Aampe, we’re working to change the way companies communicate with their customers. We do that through always-on experimentation. You create a bunch of messages: different attention-getters, different
experimentation Experiments are hard Some time ago we conducted an experiment to measure the results of a marketing campaign on customer purchases in a mobile app. A customer would receive a marketing message with
business Why you need conditioned experiments If you are not conditioning your experiments, you are setting your experiments up to lie to you.
business Change is your business Think about whoever keeps you in business. We’re building an engine to help you keep those people happy.
