Personalization
Data-driven personalzation leverages analytics to deliver accurate messages to our recipients. Data in marketing personalization varies from location insights to variations of audience data. Data-driven personalization increases the relevancy of campaigns across all fields.
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Our Data Partners
IPinfo.io IP Geolocation Database Download
by Ipinfo.io
65M rows
98% expected match rate
249 countries covered
Downloadable IP Address Geolocation Database from IPinfo.io. Fresh data every day!
IDx - Cookieless Identity Solution (LATAM)
by Retargetly
18 countries covered
Addressability and tracking across all digital environments for a cookieless Latin America.
Ambee Pollen API for the World
by Ambee
198 countries covered
Ambee’s Pollen API provides real-time, historical, and pollen forecasts. The data models are built to prioritize data validation and provide accurate data wi...
AnalyticsIQ
Based in USA
AnalyticsIQ is a predictive marketing data company that creates data to understand the complete view of individuals - regardless of whether they are at home ...
start.io
Based in USA
Start.io is a mobile data platform. Start.io (formerly StartApp) enables organizations to uncover insights and make data-driven decisions that enhance strate...
SDK Downloads
APPS
USERs
Retargetly
Based in USA
Retargetly is the only Data Platform focused on building addressable audience solutions for brands and publishers south of the US-Mexico border. We aren't an...
devices
people
data events
Frequently Asked Questions about Personalization
Learn everything about Personalization. Understand data sources, popular use cases, and data quality.
What is data driven personalisation?
Data-driven personalization refers to the use of data analytics when delivering customised content to any given recipient. By understanding more of the person receiving the message, communication can be optimised to suit their individual needs at the moment.
How to use data for personalisation in digital marketing?
Data can be used in personalzation in a myriad of ways. From real-time pricing optimisation to tweaking the copy in transactional emails and content marketing data analytics give marketers the confidence to make customization decisions based on what the customers actually want.