Unique reach calculation aims to determine the number of distinct individuals who have seen specific content or advertisements. This process primarily focuses on deduplicating user interactions across various devices and platforms to avoid overcounting. To achieve this, several identifiers are employed, including robust user login IDs, unique device IDs (such as IDFA or GAID), and traditional browser cookies. More sophisticated methods involve probabilistic matching, where data points like IP addresses, browser types, and usage patterns are analyzed to infer that different touchpoints belong to the same person. The ultimate calculation involves tracking all impressions and then counting the unique, deduplicated identifiers within a defined reporting period to arrive at the final unique reach figure. More details: https://info-ai.top