RTB House
Deep-learning DSP for performance advertising and retargeting.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- RTB House S.A.
- Entity type
- COMPANY
- Founded
- 2013
- Headquarters
- ul. Złota 61/101, Warsaw, Poland
- Company size
- 1,001–5,000
- Market role
- AdTech Vendor
- Official website
- rtbhouse.com
What RTB House does
RTB House creates value by helping advertisers improve conversion, return on ad spend and audience quality through automated programmatic buying and personalised creative optimisation. It monetises this through managed-service campaign spend, performance-linked media fees and a self-service buying layer for e-commerce advertisers, combining software, optimisation and media execution within one commercial model.
Category differentiation
RTB House is an independent AdTech vendor and DSP, not a publisher, agency holding group or consumer media platform. It should also not be confused with a generic real-time bidding concept or infrastructure layer.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
RTB House is a Polish advertising technology company focused on programmatic media buying for performance and branding campaigns. Its core business is a proprietary demand-side platform that uses deep learning models to buy, target and optimise display, video and commerce-oriented advertising across web and in-app inventory. The company sells primarily to advertisers, e-commerce brands, app marketers and agencies, and it also offers a self-service platform through rtb.com for smaller brands and agencies that want direct campaign control.
Company news briefing
Briefing updated:
RTB House, a Cinven portfolio company, continues to focus on genuine marketing ROI over vanity metrics, reinforcing its positions following events like RTB Day Berlin. Recent proprietary research highlights how agentic AI and automated shopping tools are reshaping consumer purchasing behaviour and extending decision periods. Additionally, European shopping trends data published by the company shows that most consumers require multiple website visits before making a purchase, underlining the ongoing complexity of digital attribution.
Business model & monetisation
RTB House monetises mainly through programmatic media buying fees and performance-based pricing tied to outcomes such as conversions, completed views and viewable impressions. Revenue comes from a mix of managed-service media margin, campaign fees linked to CPM or CPA-style structures, and a self-service software-like usage model via rtb.com for e-commerce advertisers and agencies.
- Managed-service programmatic media buying
- Media Arbitrage
- Performance-priced campaign fees
- Percentage Take-Rate
- Self-service advertising platform usage
- Software Subscription
- Branding and upper-funnel campaign services
- Service Fee
Products & capabilities
No products with linked sources are available in this view.
Programmatic stack & registry data
Registry entries and observed technical data do not establish certification, legal compliance or actual usage.
RTB House S.A.
IAB vendor record: 16
- Cookies declared
- Yes
- Non-cookie access declared
- Yes
- Declared purpose IDs
- 1, 2, 3, 4, 7, 9, 10
- Declared feature IDs
- 1
- Declared special purpose IDs
- 1, 2, 3
- Indexed sellers.json entries
- 60,335 · rtbhouse.com
Products & market categories
Competitors & alternatives
- AdMaster
AI advertising platform for campaign buying, creative automation and delivery.
Side-by-side comparisons
Subsidiaries & acquisitions
- Adlook
AI-powered DSP for open web, in-app and CTV buying.
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Shoppers burned by bad AI recommendations, survey finds
Consumer Trends · Recorded impact score: 2/5
A SmartCustomer survey of nearly 1,200 US consumers reveals that while 89% don't fully trust AI recommendations, 76% have used AI to make purchases in the past year, and a third made regrettable purchases based on AI advice. Electronics, apparel, and footwear dominate these poor choices. The survey also indicates that 98% believe AI companies hold responsibility for validating sources and legitimacy, and 53% suspect companies of manipulating AI recommendations with false information. Additional findings show gender and generational divides in AI shopping adoption, with men shopping via AI more than women, and Gen Z being more hesitant. Other surveys by YouGov, RTB House, and Gartner corroborate trust issues and consumer preference for human oversight in AI-assisted commerce.
- 76% of consumers have used AI to make purchases in the past year, despite 89% lacking full trust in AI recommendations.
- A third of survey respondents (33%) made a regrettable purchase based on an AI recommendation, with electronics, apparel, and footwear accounting for most bad purchases.
How does Agentic AI impact the holiday path to purchase?
Recorded impact score: 3/5
New RTB House research, Who’s Buying? Consumer Trust in the Age of Agentic AI, shows that artificial intelligence tools are reshaping Black Friday consumer behavior, turning rapid impulse buying into a longer, AI-guided evaluation period.
Attribution Remains Difficult: First Visit Rarely Leads to Purchase
Attribution · Recorded impact score: 2/5
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.
Programmatic Advertising Evolves, Not Revolutionizes, Says RTB House
Programmatic Advertising · Recorded impact score: 2/5
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.
Teens Trust AI Recommendations More Than Friends, Parents
Consumer Trends · Recorded impact score: 3/5
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.
Explore company relationships
Questions about RTB House
What is RTB House?
RTB House is a Polish advertising technology company that operates a programmatic demand-side platform focused on performance marketing, retargeting and related display and video campaigns.
Who uses RTB House?
Its customers are advertisers, e-commerce brands, app marketers, gaming companies and media agencies that buy programmatic advertising to drive conversions, engagement or brand outcomes.
How does RTB House make money?
It makes money through managed-service media buying fees, performance-linked campaign pricing and usage of its self-service advertising platform for brands and agencies.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
19 publicly documented primary sources and citations linked across the market graph.
Continue your research on RTB House
Explorer includes additional company details, a Watchlist for up to 25 companies and your personal Strategic Intelligence Agent. It monitors your market daily and delivers tailored briefings with clear strategic context whenever relevant news occurs.
Free, with no time limit.