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Why RTB House's Business Model is so successful?

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RTB House’s Company Overview


RTB House is a global company that provides state-of-the-art marketing technologies for top brands worldwide. Its proprietary ad buying engine is powered by deep learning algorithms that allow real-time bidding (RTB) for online advertisers. Founded in 2012, the company has built a robust platform that offers unique solutions in personalized retargeting, serving clients across over 70 countries. RTB House has over 30 locations worldwide, including New York, Paris, Tokyo, Singapore, Sao Paulo, Moscow, Istanbul, and Warsaw. The company's mission is to deliver a broad range of high-performance solutions that help businesses grow by leveraging the power of digital advertising.

Business Model:

RTB House operates under a performance-based business model, meaning it makes money when its clients make it. The company uses AI and machine learning to create and optimize personalized ads designed to engage potential customers and drive them to complete a purchase. RTB House's ad-buying engine analyzes many data points, such as a user's browsing history and behavior, to identify the most suitable products to display in the ads. This highly targeted approach allows businesses to reach their audience more effectively and increase their return on ad spend.

Revenue Model:

RTB House's revenue model is primarily based on a Cost-per-action (CPA) system. In this model, clients pay a fee each time a user clicks on their personalized ad and completes a specific action, such as purchasing or filling out a form. This approach ensures that clients only pay for tangible results, making it a cost-effective solution for their advertising needs. Additionally, RTB House also offers a premium service for clients who require more advanced features and capabilities, which provides an additional revenue stream for the company.

https://www.rtbhouse.com/

Headquater: Warsaw, Poland, EU

Foundations date: 2013

Company Type: Private

Sector: Technology

Category: Advertising

Digital Maturity: Digirati


RTB House’s Related Competitors



RTB House’s Business Model Canvas


RTB House’s Key Partners
  • 31.000 advertisers
  • A number of specialized service providers (eBay, PayPal, Zalando, ITunes, etc.)
  • Investors (Allegro, Miton, and VC fund 4.0 Ventures)
  • Adform
  • Adphorus
  • AdsBridge
  • Adobe Audience Manager
  • AdRoll
  • Adspert
  • Amazon Europe
  • AppNexus
  • Avansera
  • Rakuten Attribution+
  • Real-time Bidding provider SideKick
RTB House’s Key Activities
  • Account setup
  • Brand building
  • R&D
  • Maintenance and support
  • Management and direction
  • Platform building
  • Proofs and statistics
  • Verification
  • Campaign management
  • Creatives
RTB House’s Key Resources
  • Programmatic platform
  • A technology-driven MarTech company developing and delivering re-targeting solutions that are based on Deep Learning and the Internet of Things
  • Big data
  • Machine learning
  • Personalization technologies
  • Stack
  • Technology
  • Technology team
  • RTB House has offices (London, New York, Tokyo, Singapore, Warsaw, Krakow, Bucharest, Amsterdam, and Milan)
RTB House’s Value Propositions
  • To deliver results using personalized banners with dynamic creatives
  • RTB House is a technology company that delivers outstanding results in digital advertising
  • Personalized Banner Advertising solution (big data, deep learning and machine learning technologies)
  • To tailor marketing content for individual users in real-time
  • To create a new standard of personalized interaction
  • The only company in the world to achieve 93% decrease in customer acquisition costs for e-commerce leaders
RTB House’s Customer Relationships
  • Clear and measurable results
  • Expert advice
  • Software sales
  • 24/7 customer service
  • Real-time bidding
  • Machine learning
RTB House’s Customer Segments
  • Advertisers
  • Marketing teams
  • E-commerce companies
  • Affiliates
RTB House’s Channels
  • Website
  • Word of Mouth
  • Events
  • Email
  • Blog
  • Resources
RTB House’s Cost Structure
  • Data science team
  • Engineering
  • Marketing and sales
  • Software development
  • Data analytics
  • Data centers
  • Advertising
  • IT maintenance
  • Contracts
  • Team
RTB House’s Revenue Streams
  • They charge their clients for sales over time
  • They use machine learning algorithms to determine the optimal starting price and real-time bidding adjustments and they do not charge for the impressions
  • They only charge for the actual sale

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RTB House’s Revenue Model


RTB House makes money by combining different business models. Below, you will find the list of the different monetization strategies identified for this company:

  • Advertising
  • Beyond advertising
  • Acquiring non customers
  • Exposure
  • Mass customization
  • Micro-segmentation
  • Self-service
  • Pay as you go
  • Customer data
  • Lead web
  • Codifying a distinctive service capability
  • Benchmarking services
  • Digital
  • Digital transformation
  • Product innovation
  • Corporate renaissance
  • Customer relationship
  • Auction
  • Two-sided market
  • Market research
Analytics


Market Overview
  • Patterns
  • Sectors
  • Categories
  • Companies
  • Right click on the nodes to explore

RTB House’s Case Study


RTB House's CASE STUDY

RTB House, a vanguard in the advertising technology sector, has consistently distinguished itself through continuous innovation and an unwavering commitment to delivering measurable results. Established in 2012, RTB House has adeptly positioned itself as a global leader in providing cutting-edge marketing technologies for top-tier brands across 70 countries. Leveraging deep learning algorithms, the company's proprietary ad-buying engine enables real-time bidding (RTB) that transforms digital advertising performance. Let us delve into this fascinating case study to understand the factors that have fueled RTB House's rise to prominence.

Pioneering Personalized Retargeting

Our story begins with the essence of RTB House's offering: personalized retargeting. By harnessing the power of deep learning, RTB House's ad-buying engine stands out not just for its technical prowess, but for its results-oriented approach. The engine processes an array of data points, such as browsing history and behavior, to curate highly tailored ads. This hyper-personalization capability isn't merely sophisticated; it is unparalleled in its precision. According to Statista, global expenditures on digital advertising exceeded $332 billion in 2020, a figure expected to rise exponentially. RTB House taps into this lucrative industry with a competitive edge, achieving client success rates that surpass industry norms. For instance, the company has managed to decrease customer acquisition costs by 93 percent for e-commerce leaders, setting a new benchmark in personalized interaction.

A Performance-Based Business Model

RTB House's revenue model revolves around a performance-based framework, a strategic choice that showcases the company's confidence in its technology. Clients pay a fee only when users engage in a predefined action, such as making a purchase or filling out a form. This Cost-per-action (CPA) system ensures clients get tangible returns on their investment, making it not just cost-effective but also transparent and risk-averse. In 2021, reports from eMarketer cited that 79 percent of marketers indicated an increasing reliance on performance-based marketing strategies. As a pioneer in this domain, RTB House has not only adapted to this trend but has fueled it, creating a compelling narrative of mutual success alongside its clients.

Global and Technological Expansion

From its headquarters in Warsaw, RTB House has expanded its influence globally, with over 30 locations in key markets including New York, Paris, Tokyo, Singapore, and Sao Paulo. This expansive footprint allows the company to cater to a diverse clientele, adapting to various cultural and market dynamics. Moreover, its tech-driven resources form the backbone of its operations. The proprietary programmatic platform backed by big data, machine learning, and personalization technologies powers RTB House’s ability to deliver exceptional results. The company’s R&D endeavors continuously evolve to meet the rising complexities of the digital advertising arena. According to a Harvard Business Review article, "companies investing in R&D are better positioned to maintain market relevance and drive innovation." RTB House epitomizes this insight through its relentless focus on research and development, cementing its stature as a leader in digital advertising technologies.

Client-Centric Value Propositions

One of the unique aspects of RTB House is its bespoke value proposition. By delivering personalized banners with dynamic creatives in real time, the company reaches consumers on a highly individual level. This specialized approach enhances user engagement and drives significant ROI for clients. A 2022 survey by Deloitte revealed that 80 percent of consumers are more likely to purchase from brands that offer personalized experiences. RTB House capitalizes on this consumer inclination by tailoring its content to individual user preferences, thereby fostering meaningful connections that translate into sales. The company also focuses heavily on client relationships, offering expert advice, 24/7 customer service, and real-time bidding capabilities. This comprehensive suite of services fortifies trust and deepens client engagements, creating a win-win symbiosis.

Remarkable Achievements and Future Prospects

RTB House’s success is encapsulated in its impressive statistics and continued growth. Notably, the company now serves 31,000 advertisers, partnering with specialized service providers like eBay, PayPal, and Zalando, among others. These partnerships not only validate RTB House's technological edge but also complement its wide-reaching service capabilities. Looking forward, the company shows no signs of slowing down. The digital advertising landscape is continually evolving, and RTB House is ideally poised to lead this evolution through cutting-edge innovations in machine learning and real-time bidding technologies. In conclusion, RTB House’s journey from a nascent technology enterprise to a global leader in digital advertising showcases a masterclass in leveraging deep learning for extraordinary performance. From its evidence-based business model to its relentless focus on personalized customer interactions, RTB House exemplifies how adept strategy execution can create transformative industry impact. As we move forward, the narrative of RTB House serves as an inspiring testament to the power of innovation and the pursuit of excellence in the digital economy.


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