Case Studies
See how teams use Air360 to uncover hidden behaviors and grow conversion.
Every study here follows the same shape. A team could see a number moving the wrong way, could not see the cause, and found it in the sessions behind the number. The details differ - a booking journey across forty markets, a mobile checkout on matchday, one underperforming site in a group of many - but the method does not. Find the step losing the most people, watch what happens to the people it loses, then fix that step instead of redesigning the page around it. Each result below is stated the way the team measured it, over the period they measured it, next to the change they made to get there.
The industries differ on purpose. Travel, sport and consumer goods sell different things to different people, and a lift that comes from fixing a seat map has little to say about a size guide. What carries across is the sequence - measure the flow, locate the step, watch the sessions, change one thing, measure again. Read the numbers with the usual care. Each is a conversion lift over a stated period against that team’s own baseline, not a benchmark, and none of them arrived from a single change made on a single afternoon.
