Segmenting audiences using Big Data
Posted: Tue Feb 11, 2025 7:02 am
Programmatic Marketing
One of the main trump cards of programmatic advertising is based on the use of Big Data , which enables a more precise understanding of the audience.
In other words, the programmatic advertising acquisition and marketing platform has detailed demographic information, browsing patterns, individual attributes and interests, previous purchase history, and other data. Obtaining and analyzing all this data allows for highly specific segmentation that is beneficial in allowing advertisers to reach their target audience at the right time.
Programmatic Advertising Use Case Examples
Programmatic advertising is a practice that, over hong kong mobile database the last 10 to 15 years, has managed to achieve good results for many of the largest and most important companies in the world. Among the most relevant success stories, it is worth highlighting:
Google: In 2014, the company used a programmatic advertising strategy to promote its search application. As a result of this campaign, it was able to increase reach by 30%, increase exposure frequency by three times, and reduce cost per thousand (CPM) impressions by 30%.
Spotify, Amazon, Rappi and Mercado Libre have incorporated programmatic advertising into their strategies to connect with users most likely to become customers.
Coca-Cola: Used demographic and behavioral data to reach its target audience at the right time. As a result, the impact of its campaigns was improved and advertising results were enhanced.
Airbnb : Required programmatic advertising to reach potential travelers based on their interests and browsing patterns. This strategy helped to display relevant and personalized ads, thus improving the effectiveness of advertising and marketing campaigns.
Nike : Nike used programmatic advertising to promote specific products to audiences who had shown interest in similar items. This tactic allowed Nike to increase the relevance of its ads and improve conversion of users to customers.
Let's work together.
One of the main trump cards of programmatic advertising is based on the use of Big Data , which enables a more precise understanding of the audience.
In other words, the programmatic advertising acquisition and marketing platform has detailed demographic information, browsing patterns, individual attributes and interests, previous purchase history, and other data. Obtaining and analyzing all this data allows for highly specific segmentation that is beneficial in allowing advertisers to reach their target audience at the right time.
Programmatic Advertising Use Case Examples
Programmatic advertising is a practice that, over hong kong mobile database the last 10 to 15 years, has managed to achieve good results for many of the largest and most important companies in the world. Among the most relevant success stories, it is worth highlighting:
Google: In 2014, the company used a programmatic advertising strategy to promote its search application. As a result of this campaign, it was able to increase reach by 30%, increase exposure frequency by three times, and reduce cost per thousand (CPM) impressions by 30%.
Spotify, Amazon, Rappi and Mercado Libre have incorporated programmatic advertising into their strategies to connect with users most likely to become customers.
Coca-Cola: Used demographic and behavioral data to reach its target audience at the right time. As a result, the impact of its campaigns was improved and advertising results were enhanced.
Airbnb : Required programmatic advertising to reach potential travelers based on their interests and browsing patterns. This strategy helped to display relevant and personalized ads, thus improving the effectiveness of advertising and marketing campaigns.
Nike : Nike used programmatic advertising to promote specific products to audiences who had shown interest in similar items. This tactic allowed Nike to increase the relevance of its ads and improve conversion of users to customers.
Let's work together.