When running tests in digital marketing, reliable results mean the numbers truly reflect what is happening. One clear sign is enough data, because testing with very few visitors can give false results. Time also matters, since tests that run for only one or two days can miss normal user behavior. It also helps when one clear change is tested at a time, not many changes together. When the same result keeps showing after several checks, trust grows. Looking at trends instead of one sudden spike also makes sense. Do these points match how reliability is judged in marketing tests?