Teqblaze

Traffic shaping is not enough:
Hidden optimization levers for suppliers

Watch the on-demand webinar to learn how sell-side can improve auction efficiency, reduce
infrastructure waste, and increase monetization performance using ML optimization.

Real life use cases

On-demand session

Instant access

Real life use cases

On-demand session

Instant access

Real life use cases

On-demand session

Instant access

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

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Multiple optimization algorithms deliver stronger
results when used together
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Better control over auction behavior
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Understanding which algorithms perform best across different use cases
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Clear expectations of the results each algorithm can deliver
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More stable and predictable revenue
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Available on demand

Access the webinar recording anytime and explore real optimization strategies used by publishers, SSPs and other programmatic businesses.

Watch recording
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Meet the expert

Anastasia-Nikita Bansal
CEO at TeqBlaze
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10+ years in AdTech and the programmatic ecosystem
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Leads company strategy across the TeqBlaze white-label and custom solutions
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Drives R&D direction around ML-based optimization and platform efficiency
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Works with publishers and platform owners on building an independent monetization infrastructure
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Focused on supply-side economics, auction dynamics, and revenue strategy
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Speaker at industry events and recognized with multiple AdTech awards
Anastasia-Nikita BansalAnastasia-Nikita Bansal

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!

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You’ll see

We’ll walk through practical scenarios and show

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How different ML-based platform performance
optimization approaches behave in real environments
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How multiple layers influence overall SSP performance
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How configuration choices impact outcomes
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How to approach performance optimization
beyond isolated changes

All examples are based on real operational experience across TeqBlaze white-label technology

Learn more
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What to expect

Practical
walkthrough

Real
scenarios

Clear
explanations

Get accessto the fullrecording