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Unlock the Potential of Your Customer Data with First-Party Data Matching

First-party data targeting refers to the use of data collected directly from a company’s own audience, customers, or users for targeted advertising purposes. This data is typically collected through interactions with a company’s website, mobile app, or other digital properties.  We’ll recommend these strategies for both B2B and B2C audiences.

With first-party data targeting, advertisers have access to more detailed and accurate information about their audience, such as their demographics, interests, behaviors, and preferences. This allows them to create highly targeted and personalized ads that are more likely to resonate with the audience, leading to higher engagement and conversion rates.

To use first-party data targeting, advertisers need to ensure that they have obtained appropriate consent from their audience or customers to use their data for advertising purposes. This typically involves providing clear and transparent information about how their data will be collected, used, and protected.

Examples of first-party data that advertisers can use for targeted advertising include website analytics data, CRM data, social media engagement data, and mobile app usage data. Advertisers can use this data to create custom audiences or lookalike audiences on various advertising platforms, such as Google Ads, Facebook Ads, and LinkedIn Ads. They can also use this data to personalize their ad creative, messaging, and offers based on the audience’s interests and behaviors.

Overall, first-party data targeting allows advertisers to leverage their own data assets to deliver more relevant and effective advertising experiences to their audience.

Google Customer Match is a feature provided by Google Ads that allows advertisers to upload a list of their customer data, such as email addresses, phone numbers, and physical addresses, to Google’s platform. Google then matches this customer data with the users’ Google accounts and displays targeted ads to those users when they are using Google Search, YouTube, Gmail, or other Google services.

Facebook Customer List targeting is a feature provided by Facebook Ads that allows advertisers to upload a list of their customer data, such as email addresses, phone numbers, or Facebook user IDs, to Facebook’s platform. Facebook then matches this customer data with its own database of user profiles and displays targeted ads to those users when they are using Facebook, Instagram, Messenger, or other Facebook-owned platforms.

LinkedIn Contact Match is a feature provided by LinkedIn Ads that allows advertisers to upload a list of their customer data, such as email addresses or company names, to LinkedIn’s platform. LinkedIn then matches this customer data with its database of user profiles and displays targeted ads to those users when they are using LinkedIn.

AdRoll Contact Audience Matching is a feature provided by AdRoll, a digital marketing platform that specializes in retargeting and prospecting. It allows advertisers to upload a list of their customer data, such as email addresses, phone numbers, and physical addresses, to AdRoll’s platform. AdRoll then matches this customer data with its database of anonymous user profiles and displays targeted ads to those users when they are browsing the web, using social media, or other online platforms.

Lookalike audiences are a type of audience targeting that uses machine learning algorithms to identify and target people who share similar characteristics and behaviors as a company’s existing customers or audience. These audiences are created by analyzing first-party data, such as website visitors, email subscribers, or CRM data, and identifying patterns and similarities among those individuals.

The benefits of targeting lookalike audiences include:

• Increased Reach: Lookalike audiences enable advertisers to expand their reach beyond their existing customers or audience to reach new potential customers who are likely to be interested in their products or services.
• Improved Relevancy: By targeting people who share similar characteristics and behaviors as existing customers or audience, lookalike audiences enable advertisers to deliver more relevant and personalized ads that are more likely to resonate with the target audience.
• Higher Conversion Rates: Lookalike audiences can lead to higher conversion rates because the individuals in those audiences are more likely to be interested in the product or service being advertised.
• Lower Cost-per-Acquisition: By targeting people who are more likely to convert, lookalike audiences can lead to a lower cost-per-acquisition (CPA) and a higher return on investment (ROI) for the advertising campaign.

Overall, targeting lookalike audiences is an effective way for advertisers to expand their reach and improve the effectiveness of their advertising campaigns by targeting individuals who are more likely to be interested in their products or services

Other 1st Party Data Definitions for B2B and B2C