Websites using Eyeota

Okay, let s break down Eyeota, covering its overview, revenue, alternatives, pricing, and customer care.

Eyeota Overview

Eyeota is a global data company focused on audience data. It s primarily a data marketplace where advertisers and marketers can access pre-built audience segments based on various demographic, interest, and behavioral characteristics. Think of them as a middleman that aggregates data from different sources and makes it available for targeted advertising.

Here s a more detailed breakdown:

• Core Business: Aggregates, curates, and sells audience data to advertisers, agencies, and publishers for targeted advertising campaigns.
• Data Sources: Collects data from a wide variety of sources including:
  • Online publishers: Websites and apps
  • Data partners: Other data providers
  • Surveys and research: Consumer insights
• Types of Data: Offers a diverse range of audience segments, categorized by:
  • Demographics: Age, gender, income, location
  • Interests: Hobbies, lifestyles, passions
  • Behaviors: Online shopping, travel, finance
  • Purchase Intent: Signals of potential purchases
  • Contextual Data: Based on the content being viewed
• Technology: Provides technology to allow for data activation across different platforms like DSPs (Demand Side Platforms), DMPs (Data Management Platforms), and ad servers.
• Global Reach: Operates globally, with data available in numerous countries and regions.
• Privacy Focus: Claims to adhere to privacy regulations like GDPR and CCPA. Transparency about data sources and opt-out options are increasingly prioritized.

Revenue

While Eyeota is a well-established player in the data industry, they are a privately held company, and therefore, their exact revenue figures are not publicly available. However, we can infer some insights:

• Significant Player: Their global presence and vast network of data partners indicate a substantial market share and revenue.
• Industry Growth: As the digital advertising ecosystem continues to evolve and data targeting remains crucial, Eyeota likely experiences steady revenue growth.
• Data as a Commodity: Revenue is based on the licensing of their data segments. Factors that affect revenue include the scale of data, the number of segments purchased, and the reach of campaigns.

Alternatives to Eyeota

There are several other data providers and marketplaces that offer similar or overlapping services. Here are some notable alternatives:

• Liveramp (Acxiom): A major player in identity resolution and data connectivity. Offers a wide range of data for onboarding and activation.
• Oracle Data Cloud: A comprehensive data marketplace that integrates data with its other cloud-based services.
• Lotame: Focuses on data unification and providing insights for audience targeting.
• Nielsen Marketing Cloud (formerly eXelate): Offers various data solutions for targeting and measurement.
• The Trade Desk: While primarily a DSP, they also offer access to data partnerships.
• Datalogix (now Oracle): Specializes in offline data, like purchase history.
• BlueKai (now Oracle): Another well-known data management platform and marketplace, now part of Oracle.
• Many Smaller Players: Numerous regional and niche data providers that may be suitable for specific needs.

Choosing an Alternative: When selecting an alternative, consider factors such as:

• Data Quality and Accuracy: How reliable and up-to-date is the data?
• Data Coverage: Does the provider offer data in your target markets and for your desired audience segments?
• Integrations: How well does their data integrate with your existing platforms and technologies?
• Privacy Compliance: Do they follow all applicable data privacy regulations?
• Pricing: How is the data licensed, and does the cost fit your budget?
• Customer Support: How responsive and helpful is their customer service team?

Pricing

Eyeota s pricing model is typically based on a CPM (Cost Per Mille/thousand impressions) model. Here s a general idea:

• Not Fixed: Pricing is not fixed and varies significantly based on several factors.
• Factors Influencing Price:
  • Data Segment: Highly specialized or niche audience segments usually cost more.
  • Geographic Location: Data in some regions might be more expensive due to limited availability or higher demand.
  • Scale: Higher volume of data may qualify for discounted rates.
  • Data Type: More specific and accurate data may command a higher price.
  • Negotiations: Pricing is often negotiable, especially for large-scale or long-term contracts.
• Direct Sales Teams: Eyeota typically uses a direct sales team to manage pricing and contracts.

Key Points Regarding Pricing:

• Budgeting: It s crucial to establish your budget before engaging with Eyeota and discuss pricing options transparently.
• Trial Periods: Some data providers offer trial periods to test data quality before committing to a paid contract.
• Hidden Costs: Inquire about potential additional costs such as data integration fees.

Customer Care

Eyeota provides various customer support channels:

• Dedicated Account Managers: Typically assigns account managers to clients to provide tailored support and guidance.
• Technical Support: Offers technical support to assist with data integrations and platform issues.
• Training and Documentation: Provides training resources and documentation to help clients effectively use their data.
• Onboarding Process: They have an onboarding process to get new customers familiar with their platform and data.
• Global Support: Given their global operations, they have teams working across different time zones.

Key Customer Care Considerations:

• Accessibility: Are they responsive to your queries and needs?
• Expertise: Do they possess the necessary expertise to help you achieve your marketing goals?
• Transparency: Are they transparent about data sources, pricing, and terms?
• Responsiveness: How quickly do they respond to support requests and issues?

In Summary

Eyeota is a major player in the audience data space, offering a diverse range of segments for targeted advertising. Understanding your specific data needs, budget, and considering the alternatives is key to making the right choice. Be sure to leverage their customer service and technical support to maximize your data investment. Due to being a privately held company, detailed financials and pricing must be worked out with their direct sales team.