TaurusX

Optimizes multiple campaign goals, including CPI, CPE, and ROAS, with deep learning algorithms for efficient user acquisition and retargeting at scale.
Demand-Side Platform User Acquisition Ad Optimization

TaurusX is an AI-powered Demand-Side Platform (DSP) that helps businesses grow by delivering user acquisition and retargeting at scale. With CPI, CPE, and ROAS optimizations, advertisers can set and achieve marketing goals efficiently.

TaurusX includes several features to help businesses grow:

  • Multi-Goal Optimization: Uses deep learning algorithms to optimize for multiple campaign goals, including CPI, CPE, and ROAS.
  • ROI Maximization: Builds algorithm models specific to each advertiser's needs, ensuring accurate targeting and ROI optimization.
  • Global Reach: Provides access to over 1 billion monthly active users (MAU) from a variety of apps and SDK partners, allowing for massive global reach.
  • Rapid Growth: Combines advanced algorithmic learning and proprietary traffic pools to dramatically shorten growth periods.
  • Performance Visibility: Offers real-time insights through its in-house BI tool, Mega, to inform strategic decisions.
  • Fraud Prevention: Partners with Pixalate to ensure high-quality traffic and prevent ad fraud.

TaurusX is for buyers and publishers. For buyers, it offers access to high-quality inventory and impactful ad formats such as video, playable and native. For publishers, it offers tools to maximize ad monetization, increase demand sources, and support flexible integrations.

Real-world examples of TaurusX's results include:

  • Cash Carnival Pusher: 10x increase in daily installs, 50% increase in user engagement, and 40% increase in day 0 ROAS.
  • Lucky Money: 3x increase in daily installs, 20% increase in ROI, and 15% increase in user retention.

TaurusX is designed to help businesses grow more efficiently by making it easier to scale performance. Its services are designed to provide personalized support and optimize campaigns for advertisers and publishers.

Published on July 2, 2024

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