Technology
AI-powered Ad Engine
BuzzAd's engine analyzes large-scale data with the highest level of precision and safety to deliver optimal advertising performance.
Intelligent Targeting
BuzzAd's targeting model identifies user patterns by comprehensively analyzing their type, behavior, and past interactions.
Performance Optimization
Buzzvil’s ad engine optimizes performance based on budget, campaign goals, and brand characteristics.
Privacy-first
We ensure full anonymization of data processing while enhancing personal information protection.
Intelligent Targeting
In-depth analysis of user characteristics: Interest Map
BuzzAd uses 6 billion+ data points generated by 4 million users daily to train its targeting models, drawing Interest Maps for individual users with over 700 categories. Buzzvil’s AI algorithms apply to all stages of analysis and efficiency improvement, providing a more profound understanding of all user's characteristics for more sophisticated targeting.
Performance Optimization(1)
Tailored CTR prediction based on brand attributes
Buzzvil’s deep learning-based Prediction Model ensures optimal advertising performance by predicting CTR (Click-through Rate), CVR (Conversion Rate), and Conversion Value using the formula "CTR x CVR x Conversion Value" for each advertising campaign. It analyzes the heterogeneous user characteristics, sequential behavior logs, and reward features in real-time to predict the next action of each individual user. This model has been most effectively applied to purchase probability prediction models for commerce advertisers, maximizing ROAS(Return on Ad Spend) for retargeting campaigns.
Buzzvil's CTR prediction performance
Purchase prediction performance in Commerce
Commerce C
Commerce E
Commerce W
Performance Optimization(2)
Precision recommendations for user-preferred ads and worthy products
Prediction Model of Buzzvil works alongside ad creative and product recommendation models to improve click-through rate. We extract user-specific representative embeddings for contextual analysis, considering actions like clicks, adding items to cart, and purchases. Buzzvil’s Recommendation Model is applied to determine which campaigns to prioritize for exposure and which ads are most likely to lead to future engagement, applied across a variety of ad formats including Native, Interstitial, and Benefit Hub.
Privacy-first
The most agile response to the era of privacy: Cohort Targeting
Buzzvil adapts to changes in the advertising ecosystem through proactive and evolved Cohort Targeting. With enhanced privacy policies and the end of cookie data, traditional targeting methods may no longer be effective. Cohort Targeting involves analyzing and comparing behavioral patterns of groups that share similar experiences over a specific period. Buzzvil's targeting model extracts user-ad interaction data to learn and cluster similar values for marketing use. By analyzing and integrating past behavioral history with current user context, Buzzvil achieves high advertising efficiency through the safest and most effective targeting methods.
Buzzvil’s core technology
Dynamic Rewards: The key to accelerating purchase journeys
Where Ad meets innovation, Buzzvil
Experience comprehensive brand growth with Buzzvil's three product lines, which cover advertising, marketing, and app monetization
Innovation backed by tangible results
Real-time data processing capacity
50K TPS
Daily data production
3TB+
Number of partners
400+
MAU
20 million
