Data Provider / Broker · vs · AdTech Vendor

OAN vs RTB House

Structured technology and market comparison · 2026

Direct Feature Comparison

OAN · vs · RTB House
Primary Market / Role
OANData Provider / Broker
RTB HouseAdTech Vendor
Platform Focus
OAN

Audience data provider for programmatic and gaming advertising.

RTB House

Deep-learning DSP for performance advertising and retargeting.

Company Size
OAN<10 employees
RTB House1,001–5,000 employees
Headquarters
OANPL
RTB HousePL
Year Founded
OAN2011
RTB House2013

Comparison Analysis

What is the main difference between OAN and RTB House?

When comparing OAN and RTB House, both platforms operate within the In-App and Interactive Entertainment (Gaming) ecosystem. OAN is positioned as Audience data provider for programmatic and gaming advertising, whereas RTB House focuses on Deep-learning DSP for performance advertising and retargeting. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.

What are the top alternatives to OAN and RTB House?

When evaluating OAN and RTB House, enterprise buyers also consider other platforms in In-App and Interactive Entertainment (Gaming). You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.

Market Signals

Recent Market Signals & Activity: OAN vs RTB House

Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.

OAN

Recent Signals

No recent market signals documented for OAN in the current tracking window.

RTB House

Recent Signals

  • ·AdzineAttribution

    Attribution Remains Difficult: First Visit Rarely Leads to Purchase

    A new European Shopping Trends Report by RTB House reveals that only 27% of European consumers make a purchase on their first website visit. Half require two to three visits, and 19% need four to five visits. The study, conducted by Censuswide with 4,500 respondents across nine countries, shows that 81% compare multiple brands before buying and 75% visit more than one retailer website. Reasons for abandoning initial visits include price comparison (28%), reading reviews (20%), and seeking promotions (17%). Additionally, 22% of shoppers research online but purchase in physical stores, complicating attribution. AI-based product discovery is emerging, with 21% using services like ChatGPT or Gemini. RTB House argues for longer-term retargeting, while acknowledging that the study measures behavior, not causal effects of retargeting.

    • Only 27% of European consumers purchase on their first website visit.
    • 81% of respondents consider more than one brand before making a purchase.
    • 22% of shoppers research online but complete purchases in physical stores.
  • ·MeediaProgrammatic Advertising

    Programmatic Advertising Evolves, Not Revolutionizes, Says RTB House

    In a commentary for MEEDIA, Daniel Volož, Managing Director DACH at RTB House, argues that programmatic advertising is undergoing continuous technological evolution rather than a revolution. He contends that the only true revolution was the shift to real-time bidding, and current AI advancements, such as deep learning and LLMs, are enhancements to existing infrastructure. Volož highlights the growing complexity of the customer journey due to AI and the lack of public programmatic connections to major AI ecosystems like ChatGPT and Gemini. He emphasizes the need for intelligent scaling and strategic guidance, and anticipates the next phase as 'Agentic Marketing.' The piece criticizes hype around AI as a 'messiah' and argues for a focus on measurable performance and strategic use of technology.

    • Daniel Volož is Managing Director DACH at RTB House.
    • Article published on September 17, 2026, on MEEDIA.
    • Volož argues that AI and LLMs are evolutionary, not revolutionary, in programmatic advertising.
  • ·Retail DiveConsumer Trends

    Teens Trust AI Recommendations More Than Friends, Parents

    A Mastercard survey of 26,000 parents and teens reveals a generational shift in consumer trust towards AI-driven shopping assistance. About 27% of teens are likely to use a fully AI-run shopping assistant, compared to 16% of parents. Furthermore, 31% of teens trust AI-generated product recommendations over a friend's advice, and 23% trust AI over parental guidance. The survey also found that 62% of teens use AI monthly for product research, versus 49% of parents. Two-thirds of parents believe AI shopping will define their children's generation. Retailers like The Home Depot, Williams-Sonoma, and Target are rolling out AI features to guide shoppers, and a KPMG survey indicates over half of retailers spend $50 million or more annually on digital technology.

    • 27% of teenage respondents are likely to use a fully AI-run shopping assistant.
    • 31% of teens trust AI recommendations over a friend's advice.
    • 23% of teens trust AI advice over parental guidance.

Compare their exact ecosystem overlaps.

Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners OAN and RTB House share across the market ecosystem.