Continuous Improvement Cycles

Every two weeks, pull the response data and run the improvement cycle. Step one: identify the weakest conversion point by comparing to benchmark. Step two: analyze the responses at that conversion point — what are the common patterns in successful and failed conversions? Step three: formulate one hypothesis about what would improve the conversion. Step four: test the hypothesis for the next two weeks. Step five: measure and adopt or discard. This cycle — biweekly, single-hypothesis, measured — produces compounding improvement. A 2% improvement per cycle, sustained over twelve months, produces a 60% total improvement. The discipline is in the cadence, not the individual improvement size.