Intuizi's Anonymized Signals Dataset - individual signal-level report of anonymous geospatial mobility data. This data is derived from 1st-party consented mobile app data - attributes include EID, Lat/Long, location name, country, timestamp (details below). Amazing penetration, frequency & value. This de-duped Geospatial Mobility dataset is derived from first-party, consented, mobile app data. This data is anonymised prior to Intuizi processing it, and is the highest level, least aggregated dataset that we are able to provide to our customers. Intuizi customers use this data for many purposes, primarily to understand - at as granular a level as possible - the anonymised mobility of people (or, more accurately, the mobile devices carried by people) in specific countries. This may be used by a customer who owns/operates specific locations, or one that is conducting research into the physical movement of people in particular territories. Some of our customers may, in addition, have their own first-party dataset that they want to compare/contrast to a high-level set of anonymised data thus enriching their existing dataset. They may want to compare visitation to (their own, or other specific) locations to those owned/operated by their competitors, or visited by their customers. When processed against PoI data, it is used to generate our Visualisation Details Dataset, which is then used to create visualisations within our visualisation platform. It can also be further refined, for use as our Postal Origin or Country of Origin Dataset. The Intuizi Anonymized Signals Dataset comprises fully-consented mobile device data, anonymised at source by the entity which has legal consent to own/process such data, and on who’s behalf we work to create an anonymised dataset of Encrypted ID visitation/mobility data. It is fully compliant with GDPR/CPRA and all known privacy laws.