Traffic shaping is not enough:
Hidden optimization levers for suppliers
Live session on how sell-side optimization
algorythms actually work together in practice
Practical use cases
Live session
Limited seats
Recording available after
Practical use cases
Live session
Limited seats
Recording available after
Practical use cases
Live session
Limited seats
Recording available after
From isolated changes
to system impact
Most monetization setups rely on single optimization algorithms. In practice, this approach limits performance
because auction outcomes depend on how multiple factors interact — not on a single adjustment.
What changes with a system-level approach
Multiple optimization algorithms deliver stronger
results when used together
results when used together
Better control over auction behavior
Understanding which algorithms perform best across different use cases
Clear expectations of the results each algorithm can deliver
More stable and predictable revenue
Register to see how this
works in practice
Date and time
10 June 2026
7 PM CET
1 PM EDT
10 AM PDT
Place
zoom
Contdonw to the webinar
0 days, 0 hours, 0 minutes
Meet the expert
Anastasia-Nikita Bansal
CEO at TeqBlaze
10+ years in AdTech and the programmatic ecosystem
Leads company strategy across the TeqBlaze white-label and custom solutions
Drives R&D direction around ML-based optimization and platform efficiency
Works with publishers and platform owners on building an independent monetization infrastructure
Focused on supply-side economics, auction dynamics, and revenue strategy
Speaker at industry events and recognized with multiple AdTech awards
Who should join
Publisher monetization teams
Yield and revenue managers
SSP owners
Supply product
managers
Programmatic and AdOps specialists
If you are trying to improve results beyond
basic optimizations, this session is for you!
You’ll see
We’ll walk through practical scenarios and show
How different ML-based platform performance
optimization approaches behave in real environments
optimization approaches behave in real environments
How multiple layers influence overall SSP performance
How configuration choices impact outcomes
How to approach performance optimization
beyond isolated changes
beyond isolated changes
All examples are based on real operational experience across TeqBlaze white-label technology
Learn more
What to expect
Live practical
walkthrough
Real
scenarios
Clear
explanations
Q&A
Get access
to the full
recording
to the full
recording