Use of user location data
Posted: Sat Feb 01, 2025 6:52 am
Source: shutterstock.com
When a customer enters the store, the system recognizes them through cameras and uses information from the CRM system, such as:
buyer dimensions;
his preferences;
recent purchases;
having the status of a regular customer.
Based on this data, the system automatically selects several items from the latest collection with recommended sizes for trying on.
Facial recognition is also malaysia email list applicable in the online sphere, where it enriches the possibilities of targeted advertising. For example, Ashmanov and Partners used a neural network to recognize VKontakte users wearing glasses, improving targeting and increasing the effectiveness of advertising campaigns.
In the future, facial recognition technology will help improve ad personalization. For example, data from:
about age;
gender;
the mood of buyers.
Despite the risks of deanonymization, users value personalized recommendations, which helps increase brand loyalty.
Use of user location data
In 2022, the geolocation market was valued at $16.09 billion, with an estimated annual growth rate of 15.6% by 2030.
Use of location data
Source: shutterstock.com
According to a study by Lawless Research, 84% of marketers already use location data in their marketing and advertising strategies, and 94% plan to expand its use in the future.
These technologies allow businesses to send messages to users based on their location. Geolocation data is combined with information from CRM, allowing companies to:
conduct analytics on the frequency of visits to retail outlets;
evaluate purchase statistics across users;
understand the reasons why visitors leave without making a purchase.
These analytics can be a valuable tool for point-of-sale stores such as clothing, electronics, and home appliance stores.
When a customer enters the store, the system recognizes them through cameras and uses information from the CRM system, such as:
buyer dimensions;
his preferences;
recent purchases;
having the status of a regular customer.
Based on this data, the system automatically selects several items from the latest collection with recommended sizes for trying on.
Facial recognition is also malaysia email list applicable in the online sphere, where it enriches the possibilities of targeted advertising. For example, Ashmanov and Partners used a neural network to recognize VKontakte users wearing glasses, improving targeting and increasing the effectiveness of advertising campaigns.
In the future, facial recognition technology will help improve ad personalization. For example, data from:
about age;
gender;
the mood of buyers.
Despite the risks of deanonymization, users value personalized recommendations, which helps increase brand loyalty.
Use of user location data
In 2022, the geolocation market was valued at $16.09 billion, with an estimated annual growth rate of 15.6% by 2030.
Use of location data
Source: shutterstock.com
According to a study by Lawless Research, 84% of marketers already use location data in their marketing and advertising strategies, and 94% plan to expand its use in the future.
These technologies allow businesses to send messages to users based on their location. Geolocation data is combined with information from CRM, allowing companies to:
conduct analytics on the frequency of visits to retail outlets;
evaluate purchase statistics across users;
understand the reasons why visitors leave without making a purchase.
These analytics can be a valuable tool for point-of-sale stores such as clothing, electronics, and home appliance stores.