AdTech Vendor
RevX vs RTB House
Structured technology and market comparison · 2026
Direct Feature Comparison
RevX · vs · RTB HousePerformance DSP for app growth, retargeting and cross-channel media buying.
Deep-learning DSP for performance advertising and retargeting.
Analyze all overlapping signals and tech stacks for RevX and RTB House
Compare mutual enterprise clients, monetization models, live market signals, and partner networks directly in the interactive Knowledge Graph.
Comparison Analysis
What is the main difference between RevX and RTB House?
When comparing RevX and RTB House, both platforms operate within the Demand-Side Platform (DSP), In-App, and Display Ads & Banner ecosystem. RevX is positioned as Performance DSP for app growth, retargeting and cross-channel media buying, 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 RevX and RTB House?
When evaluating RevX and RTB House, enterprise buyers also consider other platforms in Demand-Side Platform (DSP), In-App, and Display Ads & Banner. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.
How do the corporate scale, structure, and headquarters of RevX and RTB House compare?
RevX is headquartered in Unknown (founded in 2014) with 50–200 employees. RTB House is based in Poland (founded in 2013) with 1,001–5,000 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.
Market Signals
Recent Market Signals & Activity: RevX vs RTB House
Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.
RevX
Recent Signals
- ·RevX
RevX Blog Updates: New Articles on Back-to-School, Affle Acquisition, Connected TV, Sports, Ramadan, and AppsFlyer Recognition
New blog posts added: 'The Back-to-School Window: Why This Is Your Cross-Device Q4 Proving Ground' (2026.09.01), 'Affle’s AdColony Acquisition: Empowering Reach through Mobile SDKs' (2026.06.24), 'Connected TV: The Cross-Screen Performance Channel With Big Opportunities' (2026.05.26), 'Take your marks, Go! How Brands Can Finish Strong this 2026 Sports Season' (2026.04.28), 'Ramadan 2026: Navigating Indonesia’s Most Influential Digital Marketing Moment' (2026.01.19), and 'RevX Named in the AppsFlyer Performance Index 2025; the Top-Ranked DSP in iOS Gaming' (2026.01.07).
RTB House
Recent Signals
- ·Retail DiveConsumer Trends
Shoppers burned by bad AI recommendations, survey finds
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.
- 98% of respondents believe AI companies should take at least some responsibility for validating the sources of a recommendation and confirming company legitimacy.
- ·RTB House
How does Agentic AI impact the holiday path to purchase?
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.
- ·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.
Compare their exact ecosystem overlaps.
Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners RevX and RTB House share across the market ecosystem.
Unlock full capability matrix, client overlaps & technology stacks
