Audience Targeting Data

Targeting data presents information that helps marketers partition a large market into smaller segments. It is used by marketers to connect to a specific group within a market. Datarade helps you find targeting data APIs, databases and datasets. Learn more →
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Discover, compare, and request the best audience targeting datasets and APIs.
Our Data Partners
OnAudience - Audience Data (1,200 ready-made segments) 3.08B Unique AppNexus IDs Globally / Month icon
3.08B Unique AppNexus IDs Globally / Month
OnAudience - Audience Data (1,200 ready-made segments) 100% Nielsen Digital Ad Rating icon
100% Nielsen Digital Ad Rating
OnAudience - Audience Data (1,200 ready-made segments) 249 countries covered icon
249 countries covered
Our audience segments are available via Google DV360, AppNexus, Adform, The Trade Desk, Zeotap, Adsquere, Hybrid.io, Invibes.
ID-Free Audience Targeting Solution - Cookieless Consumer Data for Germany, Norway, Sweden, Finland & Denmark - Nordic Data Resources 5 countries covered icon
5 countries covered
IDFree targeting is the smart and respectful way for data owners to maximize revenue without cookies or other online identifiers. ​
Programmatic Advertising - Build Your Brand With FrescoData Audience Data ⎢10K+ Attributes 45 mobile/TV applcation reach  icon
45 mobile/TV applcation reach
Programmatic Advertising - Build Your Brand With FrescoData Audience Data ⎢10K+ Attributes 100% targeted mobile/TV reach icon
100% targeted mobile/TV reach
Programmatic Advertising - Build Your Brand With FrescoData Audience Data ⎢10K+ Attributes 106 countries covered icon
106 countries covered
Full-service programmatic ad campaign custom audience building, creative, execution, measurement and revenue attribution. All our programmatic campaigns ...
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FrescoData
Based in USA
FrescoData
FrescoData is a full-service data and marketing agency. It is a primary source of consumer and business data, identity data and analytics, and offers end-to-...
175+
Countries
200+MM
B2B Contacts
10,000+
People Data Attributes
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Ipinfo.io
Based in USA
Ipinfo.io
IPinfo is an IP data provider specializing in IP geolocation, ASN, IP to company, IP to carrier, IP ranges, hosted domains, and other data types. IPinfo A...
46 billion
API requests per month
Great team
doing big things.
100K+
businesses use IPinfo services
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OnAudience
Based in United Kingdom
OnAudience
OnAudience.com is one of the biggest data providers in the world with a database that includes more than 27 billion of anonymous user profiles. We have devel...
Taxonomy
+1200 segments
Coverage
Data from 200+ markets
Raw Data
To fuel your own engine!
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The Ultimate Guide to Audience Targeting Data 2021

Learn about audience targeting data analytics, sources, and collection.

What is Targeting Data?

When marketing your business online, delivering vague and generic messages to potential new customers won’t lead to you securing high-value sales. While broad messaging may help you reach a wider audience, you may have a difficult time converting these random ads into actual sales. Targeting in marketing helps you avoid vague outreach. With proper targeting data, you can design smaller segments of customer groups and tailor your ads so that they’re unique to each of the groups you have created. As such, instead of wasting resources to try and reach an all-inclusive wider market, your business can make use of target marketing to redirect the energy into creating an association with a definite group in the market.

How is Targeting Data collected?

Targeting data is collected in three major steps. The first step entails market segmentation, whereby you partition your market according to groups of buyers and profiling them into specified market segments. The second step involves market targeting that involves the process of determining the attractiveness of a given market segment before entering. The third process is through product positioning in which you create a competitive position for your the company within a given target market segment. The success of each of these steps is dependent on the fictionalized profiles of specific target customers, and data is collected as metrics throughout this process.

What are the typical attributes of Targeting Data?

The core attribute of targeting data is that it is made up of a concise and detailed buyer persona. A buyer persona is a tool that gives an in-depth description that is representative of your target customer. The buyer persona gives a catalogue of features, merits and behaviors of a person in your target audience. Knowing your buyer persona leads you to other key attributes that help you describe the demographics, values and goals, challenges, source of influence, buying decisions and professional roles of your target audience.

What is Targeting Data commonly used for?

Targeting data is commonly used by marketers to identify one or more segments to direct their outreach towards. As a marketer, it allows you to redirect your advertisement resources towards a niche that has the potential for return on investment (ROI) through better conversion rates. By use of buyer personas, target data is crucial in the sense that it enables you to understand the precise needs of your target audience, and catering to those needs at the right time and place because you have the right information on the client’s demographics. As such, when developing a marketing strategy, you cannot afford to overlook the importance of targeting data for creating a robus outward marketing strategy for your business.

How can a user assess the quality of Targeting Data?

The quality of targeting data can be assessed by looking at the key attributes of the dataset. These attributes should be wide-ranging enough to include every aspect of your target audience - their demography, behavior, and intent. When tailoring your ads for a specified audience, it’s vital that your targeting data includes key aspects such as age, location, projected income, and the lifestyle of your target audience. When these attributes are better understood, you can design advertisement campaigns that will go a long way in securing the attention and interest of your target audience, thanks to tailored and targeted ads.

Who are the best Audience Targeting Data providers?

Finding the right Audience Targeting Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Audience Targeting Data providers that you might want to buy Audience Targeting Data from are FrescoData, Ipinfo.io, OnAudience, Matrixian Group, and AnalyticsIQ.

Where can I buy Audience Targeting Data?

Data providers and vendors listed on Datarade sell Audience Targeting Data products and samples. Popular Audience Targeting Data products and datasets available on our platform are OnAudience - Audience Data (1,200 ready-made segments) by OnAudience, ID-Free Audience Targeting Solution - Cookieless Consumer Data for Germany, Norway, Sweden, Finland & Denmark - Nordic Data Resources by Nordic Data Resources, and Programmatic Advertising - Build Your Brand With FrescoData Audience Data ⎢10K+ Attributes by FrescoData.

How can I get Audience Targeting Data?

You can get Audience Targeting Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Audience Targeting 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 Audience Targeting Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Audience Targeting Data?

Audience Targeting Data is similar to In-Market Audience Data, Seasonal Audience Data, Mobile Audience Data, Third-Party Audience Data, and Interest-based Audience Data. These data categories are commonly used for Audience Targeting and Audience Targeting Data analytics.

What are the most common use cases for Audience Targeting Data?

The top use cases for Audience Targeting Data are Audience Targeting, Audience Segmentation, and Programmatic Advertising.