Key takeaways
- Audience Interests: categories and subcategories for precise targeting.
- AI Configuration: traffic quality levels via sliders.
- Learning Status: monitoring of model training and accuracy.
- Integrations: GA4, GTM, and Yandex Metrica for data transfer.
AI Selena: intelligent traffic optimization
AI Selena is a machine-learning system that analyzes user behavior and optimizes traffic quality. It distinguishes valuable visitors from bots and low-quality traffic and sends only relevant data to ad platforms.
The right setup can raise campaign efficiency by 25–40% through better audiences and lower spend on junk traffic.
Setup interface overview
The interface is split into logical blocks. Each one covers a different aspect of how the AI works.
Audience Interests — audience interests
Define interest categories relevant to your business. AI Selena uses them to classify incoming traffic.
Choosing the main category
Pick the vertical that best describes the business — from e-commerce to B2B.
Choosing a subcategory
It refines the specialization within the main category.
Recommendation: choose categories with accuracy above 85% — segmentation will be stronger.
AI Configuration — AI configuration
Set the threshold values. The system assigns every visitor to one of three quality categories.
- High Value: high conversion potential, relevant behavior and profile.
- Medium Value: medium potential — may need extra nurturing.
- Low Value: low potential, including bots and accidental traffic.
Learning Status — training status
This block shows the model’s state and how well it is performing.
- Training Data: volume of interactions for training. More data means more accurate classification.
- Model Accuracy: above 90% — excellent, 85–90% — good.
- Last Updated: AI Selena retrains every few hours.
Integration Hub — integrations center
Integrations send filtered data to analytics and ad platforms.
GA4
Send events only from quality traffic.
GTM
Flexible tag management based on AI Selena classification.
Yandex Metrica
Better data quality in the Russian-speaking segment.
Advanced Settings — additional settings
- Sensitivity Level: filtering strictness. Conservative lowers the risk of blocking real users.
- Data Retention: how long training data is stored. A longer period improves model quality.
Step-by-step setup guide
Follow this sequence to configure AI Selena for your goals.
Step 1. Audience interests
- Select the main category бизнеса
- Refine the subcategory for precise segmentation
- Add extra interests if the project spans several niches
- Check accuracy — it should be above 85%
Step 2. Traffic levels
- High Value: 70–80 points recommended
- Medium Value: 50–70 points recommended
- Low Value: below 50 points
- Test the settings on a small traffic volume
Step 3. Integrations
- Add the Google Analytics 4 ID
- Set up Google Tag Manager if needed
- Connect Yandex Metrica for Russian traffic
- Verify event delivery in test mode
Important: give the system 24–48 hours to adapt. The first meaningful results usually appear in 3–5 days.
Optimization and monitoring
For maximum efficiency, periodically adjust settings based on accumulated data.
Weekly monitoring
- Model accuracy: keep it above 90%
- Traffic mix: watch the High / Medium / Low shares
- Пороги: adjust when needed
- Integrations: check the quality of data delivery
When an adjustment is needed
- Model accuracy below 85%
- Too large a Low Value share
- Drop in conversions in ad campaigns
- Rise in complaints about lead quality
Conclusion
The right AI Selena setup helps raise ROI by 25–40%, improve analytics data, cut spend on low-quality traffic, and automate audience optimization.
The key principle: the more quality data the model gets, the better it performs. Review results regularly and refine the settings.