Admitad welcomes Kochava as new technology partner

Admitad welcomes Kochava as new technology partner

Table of content

Why Kochava?

What Makes Kochava Special?

A Shared Vision of Performance and Results

New Addition to the Admitad Technology Partnership Program

Admitad has expanded its technology partnerships by teaming up with Kochava.This collaboration grants Admitad comprehensive training and access to Kochava’s real-time data solutions for omni-channel attribution and measurement. Admitad clients and partners can now leverage Kochava’s platform to optimize their marketing spend and strategies through robust data analytics, fraud prevention, and marketing mix modeling (MMM).

Why Kochava?

Kochava is a real-time data solutions company offering leading omni-channel measurement, attribution, and campaign management for data-driven brands and platforms. Kochava empowers advertisers and publishers to measure what matters with tools that deliver better insights and actionable data in one operational platform.

What Makes Kochava Special?

Kochava has been serving top brands with measurement and optimization tools for over a decade. In an industry that is constantly changing and evolving, Kochava is committed to service and innovation to meet customer needs with privacy-first solutions.  Key features include:  

  • Comprehensive Attribution Solutions: Kochava offers omni-channel attribution, ensuring precise measurement and analysis of marketing efforts across various devices and platforms, providing a unified view of campaign performance.
  • Real-Time Data Analytics: The platform delivers real-time insights that empower marketers to make data-driven decisions promptly, enhancing the effectiveness and efficiency of their campaigns.
  • Fraud Prevention: Kochava integrates advanced fraud detection mechanisms to safeguard marketing investments by identifying and preventing fraudulent activities, ensuring ad spend is utilized effectively.
  • User Engagement: Through deep linking and sophisticated campaign optimization, Kochava enhances user engagement, driving higher retention and conversion rates.
  • Privacy-First Approach: Kochava ensures compliance with global privacy regulations, providing a secure and privacy-conscious environment for data handling and analysis.

A Shared Vision of Performance and Results

The alignment between Admitad and Kochava is a natural fit. Both companies share the same approach to marketing: offering tangible results and insights for businesses, so they can make data-driven decisions that maximize ROI. This partnership strengthens Admitad’s value proposition as a performance marketing solution that delivers real outcomes, not just impressions. Leveraging Kochava’s powerful attribution engine and analytics, Admitad can better serve its partners with actionable intelligence to drive growth.

“Admitad’s partnership with Kochava enhances our capability to equip clients with a comprehensive array of marketing tools and insights, allowing for precise measurement and smarter budgeting. By integrating Kochava’s broad spectrum of channels and fraud prevention systems, we ensure that our partners don’t just spend on marketing—they invest in measurable success.”Anna Gidirim, CEO of Admitad.

New Addition to the Admitad Technology Partnership Program

Kochava joins Admitad’s expanding list of technology partners, which spans various branches of the martech industry, including other ad networks, analytics tools, and mobile solutions among others. This collective effort aims to create advanced marketing solutions that help customers achieve their goals.

For more information on leveraging Kochava’s advanced analytical capabilities, visit, visit www.kochava.com.

Admitad
Admitad
Admitad is a German IT company headquartered in Heilbronn that develops and invests in services for media buying, increasing sales and attracting customers through online advertising, traffic and content monetization and earnings using a single platform.
Founded 2009-09-01, Lise-Meitner-Str, Heilbronn
Founder Alexander Bachmann
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