Statistical significance refers to the point at which a test result reaches a level that it’s deemed meaningful. In most tests, the acceptable level of significance is 95%. The more data you collect, the more significant a result gets. Until it reaches that 95% level, it’s not considered a result that should be used to make inferences from.
"Success is fine, but success is fleeting. Significance is lasting."