AI Segment｜Smart AI, Bigger Reach
- AI-Powered Data Intelligence for High-Value Audience Expansion
Expand Smart. Target Better. Convert More.
Amplify and Grow Audiences with Vpon AI-Powered Segment
Grasp Potential Audience & Maximize Marketing Impact
Four Major Advantages of Vpon AI Segments
Maximize Potential Reach
AI automatically discovers high-value users who were previously difficult to reach, effectively expanding the audience pool.
Gain Finer Signal Insights
In-depth analysis of signal correlation, not just looking at labels, to lock in the most promising groups.
Dynamic Learning and Real-Time Optimization
The delivery data is fed back into the AI model, making advertising more and more accurate.
Access to 20 Million Mobile Data Across Taiwan
A diverse and rich database that accumulates multi-dimensional data sources and signals over a long period of time.
Turn Signals into Scalable, High-Value Audience Segments
1.A Selection of Seed Audience
(Audience Signal)
Filter out effective feature signals from the behavior, interests, consumption habits and other data of these seed audiences, including static signals and dynamic signals.
We leveraged advanced machine learning and deep learning techniques to build a powerful AI model that further cross-references the seed audience with the parent population.
Based on the dynamic weights calculated by AI, the algorithm is used to calculate above the AI model’s Threshold Point to identify potential audiences with similar behaviors and interests, as well as those that were previously difficult to reach or have never been discovered.
Once audience lists are applied to the Vpon Ad Network (ADN), each audience’s advertising data and interaction signals can be fed back into Vpon’s AI model. Through continuous training and iterative optimization over time, the AI can automatically update potential audiences that are difficult for humans to discover. Therefore, in addition to the original target audience, we can also dynamically reach appropriate high-value audiences, effectively expanding reach and improving advertising effectiveness.
In the past, brand owners often manually selected potential audiences through tagging. This often relied on subjective experience and required multiple attempts to determine the correct selection. Now, AI can easily perform consistent similarity calculations across a large number of signals and find the optimal method for dynamically generating audience lists. Using AI-generated audiences, high-value potential opportunities that were previously untapped can be discovered.
Case #1
App Live Streaming Apps
Tactic
Based on the original "seed audience", AI Segment is used to expand and identify potential groups with similar behaviors, and then launch them on ADN advertising channels.
Results
CTR increased from 0.38% to 0.70%, a growth of 84%
AI Segment-powered advertising achieves 84% higher click-through rates versus traditional app installer targeting. By analyzing behavioral characteristics through AI modeling, we pinpoint potential audiences that closely mirror your seed audience profiles:
- People who are highly engaged in online audio-visual entertainment and interactive
- Users who have frequently participated in online activities or virtual social occasions
- Mobile users who are more active during specific times, such as at night or on weekends
Case #2
Credit Card Companies
Tactic
Based on the original "Seed Audience", AI Segment is used to expand and identify potential groups with similar behaviors, and then launch them on ADN advertising channels.
Results
CTR increased from 0.41% to 0.54%, 31% higher than the overall average.
By analyzing seed audience behaviors and multi-dimensional signals through our AI model, we capture both your existing high-value customers and successfully reach new prospects who are highly interested in card applications but have never engaged with your brand before:
- People who have searched or browsed credit card offer and comparison websites
- Users who frequently follow credit card reward information related to dining, travel, and department store shopping
- Consumers who have recently downloaded or used financial management and online payment related apps
