Promising AI Uses in Ad Tech

What’s up everyone, today we have the pleasure of sitting down with Maria Solodilova, Head of Business Development at Yango Ads.

• (00:00) - Intro
• (01:17) - In This Episode
• (04:23) - Mobile Ad Mediation Business Development Explained
• (09:58) - AI Credibility In Ad Tech Sales
• (18:42) - Why Adtech is Really a Marketplace With Its Own Economics
• (30:30) - Programmatic Ad Auctions And Inventory Dynamics
• (35:22) - Building Trust in Programmatic Advertising Transparency
• (43:39) - The Future of Contextual Advertising
• (46:47) - Buy-in Tip
• (48:03) - Books Recommendations
• (51:07) - Happiness System

Summary: Maria takes us on a guided tour across the adtech landscape from a bird’s-eye view, describing a real-time marketplace where mobile ad mediation converts app usage into revenue through auctions that price every impression. She explains how supply-side work at Yango Ads centers on SDK integration, auction behavior, and performance tradeoffs that directly shape earnings once systems operate in production. The conversation frames adtech as a market governed by supply, demand, and incentives, which explains why performance shifts often outrun planning models and attribution frameworks. She grounds AI and transparency in observable mechanics, showing how reconciled data, clear ownership, and contextual execution support trust and durable monetization.

About Maria

Maria Solodilova leads global business development at Yango Ads, where she oversees revenue growth and strategic partnerships for an AI-driven mobile ad monetization platform. She manages distributed teams across the United States, China, Southeast Asia, and Latin America, with consistent delivery of seven-figure quarterly revenue and sustained performance above enterprise sales targets.

Her career spans more than a decade across North America, Europe, and Latin America, with senior roles in AdTech, SaaS, and LegalTech. Before joining Yango Ads, Maria led international business development at Yandex, where she launched AI-based B2B products into APAC, LATAM, and MENA markets, shortened sales cycles through stronger qualification, and increased average contract value.

Earlier roles at BrandMonitor and KidZania placed her in direct collaboration with Fortune 500 brands and executive leadership teams on complex, multi-market commercial partnerships. Her work consistently centers on enterprise sales execution, partner ecosystems, and monetization strategy in competitive mobile and platform-driven markets.

Mobile Ad Mediation Business Development Explained

Mobile ad mediation explains how free apps generate revenue without charging users directly. The system converts attention into income through auctions that run inside apps every time an impression becomes available. Maria frames the work in plain terms when she talks to people outside adtech. Users open familiar apps, skip payment screens, and still participate in a transaction. Attention becomes the currency, and ads become the exchange mechanism.

“When you are not paying for the product, chances are you might be one. You are paying with your attention.”

Mediation platforms sit at the center of that exchange. Multiple ad networks bid for each impression in real time, and the highest bid wins access to a specific user. Maria’s role focuses on the supply side at Yango Ads, where her team works with mobile app developers and game studios. They integrate the SDK, tune performance, and make sure the auction behaves in ways that maximize revenue without degrading the app experience.

The work demands technical fluency because developers expect concrete answers. A normal week includes discussions about factors that materially affect earnings, such as:

SDK weight and its impact on app performance.
Latency and how slow auctions affect fill rates.
Competition density across ad networks.
User experience tradeoffs that influence retention and ad tolerance.

These conversations move quickly from high-level strategy to implementation details. Credibility depends on understanding how the auction behaves in production, not how it sounds in a pitch.

The revenue dynamics often surprise people. Large payouts do not always come from enterprise publishers with recognizable logos. Maria has seen individual developers build a single game, monetize through ads, and generate seven-figure income. These outcomes come from timing, execution, and exposure to competitive bidding, rather than procurement cycles or brand recognition. That possibility keeps many operators engaged in the space, even as the vocabulary around ads grows tired and recycled.

Business development in mediation operates as a bridge between market mechanics and human outcomes. The role connects developers who want predictable income with systems that price attention at scale. Clear explanations, technical competence, and realistic expectations shape long-term partnerships more than lofty promises ever could.

Key takeaway: Mobile ad mediation monetizes attention through real-time auctions between ad networks. If you work with apps or monetization platforms, learn how bidding dynamics, SDK choices, and latency affect revenue in production. That understanding helps you evaluate partners faster, ask better technical questions, and make monetization decisions that hold up after launch.

AI Credibility In Ad Tech Sales

AI credibility in programmatic advertising depends on how clearly people describe what the systems actually do. Many sales and marketing conversations drift into abstraction because AI gets framed as something mystical or unknowable. Maria grounds the discussion in operational reality. Machine learning already drives decisions across ad tech, including bidding, ranking, fraud detection, and optimization. Those systems learn from patterns in data and apply them repeatedly at scale, which makes them useful in everyday workflows rather than theoretical debates.

Maria’s confidence comes from repetition and exposure across roles. Before working at Yango Ads, she spent years explaining machine learning in brand protection environments where trust mattered. Clients wanted to know how models learned, where signals came from, and why outputs behaved the way they did. That experience shaped how she talks about AI today. Credibility grows when explanations stay concrete and connected to observable behavior.

“You can build transparency around where the artificial intelligence pulls information from, how it learns patterns, and how it supports the work of an everyday marketer.”

That same philosophy shapes how Maria coaches her business development team. Everyone is expected to understand a shared vocabulary that shows practical fluency. The goal is not academic depth. The goal is conversational confidence around the mechanics that influence outcomes:

Precision and recall explain how models balance accuracy and coverage.
Gradient boosting explains how multiple weak signals combine into stronger predictions.
Feedback loops explain how systems improve over time based on results.

Programmatic advertising gives those concepts a clear home. Programmatic systems coordinate monetization at a scale that direct sales teams cannot match. Large platforms with massive audiences can sell inventory directly. Smaller developers ship many apps and need automated ways to monetize each one without maintaining advertiser relationships. AI-driven auctions price impressions, select creatives, and allocate demand across millions of opportunities every second. That coordination happens continuously and quietly, which makes it easy to underestimate.

Maria pays closest attention to AI applications that operate below the hype line...