Buy Interest Data

Interest data gives marketers an overview of what consumers are looking for on the internet. This data is then used by marketers to push tailored adverts to specific potential customers. Datarade helps you to find interest and intent data APIs, databases and datasets. Learn more →
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Our Data Partners
by Fifty
500M social profiles
112 countries covered
6 months of history data
A cookie-less, contextual based data set based off of social data signals.
by AnalyticsIQ
241M individuals
1 country covered
3 months of history data
InterestIQ contains data related to a wide variety of consumer lifestyle interests.
Smart Move
by Matrixian Group
People who move are an interesting target audience for many organizations.
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Based in USA
Founded in 1969, Acxiom focuses on creating the best possible insights across the most sources of data, effectively harnessing big data about real consumers ...
Based in Germany
Zeotap is a Customer Intelligence Platform that helps brands understand customers and predict behavior, empowering them to invest in customer relationships a...
Match Rate
Data Profiles
Channel Integrations
Based in Germany
The Schober Information Group has been Europe's leading marketing service provider for over 60 years. It supports customers with data, data solutions and tec...
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The Ultimate Guide to Interest Data 2021

Learn everything about Interest Data. Understand data sources, popular use cases, and data quality.

What is Interest Data?

In the contemporary digital marketing environment, it’s not enough for marketers to just push random adverts to potential customers. They must find out a customer’s interests on the internet and push adverts that are specifically tailored to these interests. Interest data allows brands and marketers to have a glimpse of what consumers are looking for so that they can provide those products and services just when they are needed.

How is Interest Data collected?

When someone opens a browser and searches for something on a searchengine like Google, digital companies can detect what is happening in this browser, as a result figuring out the interests of the user. This is accomplished when these companies place small text files on to the customer’s computer. These text files are referred to as cookies, and they have the power to search for information about the interest of the internet user and send them to companies who eventually group this data into audience segments. Consequently, marketers can buy these segments and use them to show internet users tailored ads.

What are the typical attributes of Interest Data?

The core attribute of interest data is that it is tailored to give an in-depth description of what a given potential customer or set of customers is interested in. These may involve generic categories of interests that may range from sports, politics, health, science or lifestyle. This data set gives companies the opportunity to efficiently target products and messaging to potential customers. In a nutshell, this data set allows marketers to really understand the needs and pain points of potential customers. Interest data is designed in such a way that it works best with intent-driven marketing. While interest data helps target a potential customer, intent data evaluates the specific content consumption arrays to forecast the products he or she is most likely to purchase in the not-too-distant future.

What is Interest Data commonly used for?

Marketers use interest data to fully comprehend the continuing interests of customers they are targeting. Interest analytics using interest data enables them to analyze which products or brands are interesting a consumer most at present. By amalgamating the intent-focused marketing strategy with the available interest data, marketers can gain full access to target customers’ stories. An interest dataset drives more sales in the sense that it gives potential customers a sense of importance because the marketers have made the effort to personalize their ad messages to fit the specific needs of the customer, improving engagement and CRM.

How can a user assess the quality of Interest Data?

The quality of interest data can be assessed on its ability to incorporate an intent-based marketing strategy for a complete analysis of consumer behavior online. The quality of interest data is also determined by the frequency upon which it is gathered and whether it also bears in mind the geographical situation of the target consumers. In understanding the interests of customers online, having a better view of their geographical location will help you as a digital marketer to personalize your ad messages better. As such, the geographical aspect is a quality measure that assists you to understand a customer’s whereabouts, where they have been, and where they intended to be. Lastly, quality interest data is consent-managed so that it does not infringe on the privacy of the target customers.

Who are the best Interest Data providers?

Finding the right Interest Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Interest Data providers that you might want to buy Interest Data from are Acxiom, zeotap, Schober, Mobilewalla, and AnalyticsIQ.

Where can I buy Interest Data?

Data providers and vendors listed on Datarade sell Interest Data products and samples. Popular Interest Data products and datasets available on our platform are Aurora by Fifty, InterestIQ by AnalyticsIQ, and Smart Move by Matrixian Group.

How can I get Interest Data?

You can get Interest Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Interest Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Interest Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Interest Data?

Interest Data is similar to Brand Affinity Data, Consumer Behavior Data, Consumer Lifestyle Data, and Life Stage Data. These data categories are commonly used for Advertising and Interest Data analytics.

What are the most common use cases for Interest Data?

The top use cases for Interest Data are Advertising, Audience Insights, and Audience Segmentation.