adfun.tech delivers cutting-edge DSP technology that transforms digital advertising through real-time bidding, machine learning algorithms, and precise audience targeting. Our platform maximizes ROI by connecting advertisers with their ideal audiences across global digital ecosystems.
Start Your Smart Advertising JourneyAdvanced DSP capabilities delivering measurable results for advertisers worldwide
Leverage multi-dimensional user profiling with 200+ audience attributes including demographics, browsing behavior, purchase intent, and contextual signals for hyper-targeted campaigns.
Our AI algorithms process 5M+ bid requests per second with sub-100ms response times, ensuring optimal bid placement across global ad exchanges.
Comprehensive dashboard with real-time campaign performance metrics, conversion tracking, and audience insights for data-driven optimization.
Advanced invalid traffic detection with 99.7% accuracy, protecting ad spend from bots, click farms, and other fraudulent activities.
Access to premium inventory across 50+ countries with localized campaign management and multi-currency support.
Easy API integration with major ad servers, CRM platforms, and analytics tools for streamlined campaign management.
AI-driven ecosystem delivering precision at scale with real-time optimization
When a user visits a publisher's website or app, the Supply-Side Platform (SSP) initiates an ad request with available user data and inventory details.
The SSP sends a standardized bid request to multiple Demand-Side Platforms (DSPs) including contextual data, user segments, and viewability metrics.
Our DSP analyzes the bid request using machine learning models that evaluate user value, contextual relevance, and campaign performance data to determine optimal bid strategy.
Participate in automated auctions across multiple ad exchanges, with our algorithms placing strategic bids based on predicted performance and budget optimization.
Winning ads are served to users with comprehensive tracking of impressions, clicks, conversions, and post-view activities for continuous optimization.
Proprietary algorithms driving campaign performance and efficiency
Advanced machine learning models analyze historical campaign data and user behavior patterns to forecast conversion probability and lifetime value.
Real-time clustering of users based on behavioral signals, purchase intent, and contextual relevance for hyper-personalized targeting.
Reinforcement learning algorithms continuously adjust bidding strategies based on auction dynamics, competition, and performance goals.
Multivariate testing of ad creatives, formats, and messaging to identify high-performing combinations for different audience segments.
Proprietary algorithms score inventory quality and detect fraudulent patterns in real-time, ensuring ad spend efficiency and brand safety.
Continuous feedback loop between campaign performance data and algorithm training, creating self-improving advertising systems.
Integrated with leading ad tech platforms and premium publishers worldwide
Direct integrations with premium programmatic marketplaces