Websites using Datonics

Okay, let s break down Datonics, covering its overview, revenue (though often hard to pinpoint exactly), alternatives, pricing considerations, and what information is available regarding customer care.

Datonics Overview

• What it is: Datonics is a leading provider of third-party audience data for digital advertising. They specialize in collecting, aggregating, and categorizing online user data into segments that advertisers can use for targeted advertising campaigns. They are now part of Liveramp, they were acquired in 2017.
• Key Focus: Their primary focus is on providing data that enables advertisers to reach specific demographics, interests, purchase intentions, and behaviors. This helps advertisers deliver more relevant ads to users, increasing the likelihood of engagement and conversion.
• Data Sources: Datonics gathers data from a variety of sources, including:
  • Online Publishers: Websites and online content providers.
  • E-commerce Sites: Online retailers.
  • Search Engines: Data derived from search queries (often anonymized and aggregated).
  • Data Partners: Other data providers that complement Datonics offerings.
• Data Categories: Their data is organized into a wide range of categories, such as:
  • Demographics: Age, gender, income, education, etc.
  • Interests: Hobbies, passions, lifestyle preferences.
  • Purchase Intent: Signals that a user is actively researching or considering a purchase.
  • Behavioral: Online activities, browsing habits, etc.
  • B2B: Business related data such as industry, title, etc.

Revenue

• Privately Held (Part of LiveRamp): As a part of LiveRamp, Datonics specific revenue figures are not publicly released in a detailed, standalone manner. LiveRamp s overall revenue is public, but it s impossible to isolate Datonics contribution.
• Industry Estimates: It s difficult to provide an accurate estimate without insider information. Revenue would depend on factors such as: the number of clients, the volume of data used, and the specific pricing models in place.

Alternatives

The third-party data landscape is competitive. Here are some notable alternatives to Datonics:

• Nielsen Marketing Cloud: Provides audience data, analytics, and activation tools.
• Oracle Data Cloud (formerly Datalogix, BlueKai): A broad data marketplace offering various targeting options.
• Experian Marketing Services: Offers data-driven marketing solutions, including audience data.
• Equifax (IXI Services): Specializes in financial and wealth-related data.
• Acxiom (now part of IPG): A long-standing data provider with a wide range of data assets.
• Lotame: A data management platform (DMP) with access to a diverse range of third-party data.
• Neustar (now TransUnion): Provides identity resolution and marketing solutions.
• Amazon Marketing Services: Provides data on Amazon shoppers.
• Google Marketing Platform: Provides data on users across Google s properties.
• First-Party Data Strategies: It s important to note the increasing emphasis on first-party data (data collected directly from your own customers) due to privacy changes and regulations. Building your own data assets is often the most sustainable long-term strategy.

Pricing

• Variable Pricing Models: Datonics, like most data providers, typically uses variable pricing models. These models depend on:
  • Data Volume: The amount of data required (e.g., impressions, matched users).
  • Data Segments: The specific data segments selected (more granular or specialized segments often cost more).
  • Geographic Coverage: The geographic regions targeted (e.g., U.S. only vs. global).
  • Contract Length: Longer-term contracts may offer better rates.
  • Deal Type: Direct deals vs. programmatic access.
• CPM (Cost Per Mille/Thousand Impressions): Pricing is often expressed as a CPM rate, meaning the cost for every thousand impressions where the Datonics data is applied.
• Minimum Spend: Many data providers have minimum monthly or annual spend requirements.
• Custom Agreements: Larger advertisers can often negotiate custom pricing agreements.
• Contact Datonics/LiveRamp Directly: The best way to get accurate pricing information is to contact Datonics or LiveRamp directly and discuss your specific needs.

Customer Care Details

• LiveRamp Support: Since Datonics is part of LiveRamp, customer care is handled through LiveRamp s support channels.
• Account Management: Typically, clients are assigned an account manager who serves as the primary point of contact.
• Support Channels:
  • Email: Support email addresses are usually provided to clients.
  • Phone: Phone support is often available.
  • Online Documentation/Knowledge Base: LiveRamp likely has a knowledge base or documentation portal to help clients with common questions and issues.
• Implementation Support: Assistance with integrating Datonics data into advertising platforms is generally provided.
• Training: Training on how to use Datonics data effectively may be offered.
• Service Level Agreements (SLAs): Larger clients may have SLAs in place that guarantee certain levels of service and uptime.
• Contacting LiveRamp: To find contact information for LiveRamp support or sales, visit the LiveRamp website (www.liveramp.com) and look for Contact Us or Support sections.

Important Considerations

• Data Quality: Always evaluate the quality and accuracy of the data. Ask about data sources, collection methods, and validation processes.
• Compliance and Privacy: Ensure that the data provider is compliant with relevant privacy regulations (e.g., GDPR, CCPA). Understand how data is collected, anonymized, and used.
• Match Rates: Understand the match rates (the percentage of users that can be matched to Datonics data). Lower match rates can reduce the effectiveness of targeting.
• Overlap: Be aware of potential overlap between different data segments.
• Testing and Optimization: Continuously test and optimize your campaigns to ensure that the data is delivering the desired results.
• The Shift to First-Party Data: Keep in mind that the advertising industry is moving towards a greater reliance on first-party data due to privacy concerns and the deprecation of third-party cookies.

I hope this comprehensive overview is helpful! Let me know if you have any other questions.