sitesalso

Sitesalso is a term used in web analytics and recommender systems to describe signals that capture cross-site visitation patterns. The basic idea is that data about which sites users visit in sequence or within a given session can reveal relationships between sites that are useful for content discovery, cross-promotion, and advertising. In practice, sitesalso signals are similar to the concept of “people who visited this site also visited that site,” but they are typically derived from aggregated, anonymized data rather than individual user profiles.

Data and methodology often involve aggregating clickstream data from multiple sources, such as server logs, analytics platforms, or opt‑in browser telemetry. To protect privacy, providers typically rely on aggregation, sampling, and sometimes privacy-preserving techniques that remove or obscure individual identities. The resulting signals aim to reflect general user behavior rather than the actions of any single user.

Applications of sitesalso include improving recommendations on content portals, informing cross-promotion and partner site strategies, and optimizing ad networks by identifying commonly co-visited domains. They can also be used to analyze market landscapes, identify potential partnerships, or guide link-building strategies. However, accuracy depends on data coverage and methodology, and signals can be biased by factors like time window, traffic volume, and demographic skew.

Critically, the term and its implementations are not standardized across the industry. Different platforms may label or compute cross-site signals in varied ways, and privacy considerations remain a central concern in how such data is collected, stored, and used.