RTB House on March 4, 2026 launched rtb.com, a self-service advertising platform built for small to medium-sized ecommerce brands and their agencies. The announcement marks a shift in how the Warsaw-based adtech company distributes its Deep Learning technology - moving beyond fully managed campaigns aimed at large enterprise advertisers and opening the same algorithmic infrastructure to a segment of the market that has historically been priced out of advanced programmatic advertising.

The company, founded in 2012, currently operates more than 3,000 active campaigns across the EMEA, APAC, and Americas regions, according to RTB House. Until this launch, access to those algorithms required committing to managed service arrangements that smaller brands often cannot sustain. rtb.com changes that equation. The platform is available globally with no minimum budget requirement and no long-term contract obligation.

What rtb.com does technically

The platform works through on-site integration. Once a brand connects its product catalogue - either directly or through the native Shopify connector - RTB House's algorithms begin analysing user behaviour on the advertiser's website. The system then re-engages those users across the open internet through personalised dynamic product ads. Banners and ad formats are generated automatically. No creative production is required from the advertiser.

This automatic creative generation matters in practical terms. One of the persistent friction points for smaller ecommerce operators entering programmatic has been the creative workload: the need to produce multiple banner sizes, refresh assets regularly, and adapt formats to different placements. rtb.com eliminates that requirement by drawing from the product catalogue itself as the creative input. The AI constructs the ad units dynamically, sizing and personalising them per user and placement.

The integration architecture relies on a tracking pixel placed on the advertiser's site. Through that pixel, RTB House algorithms capture behavioural signals - which products a user viewed, what they added to a cart, how far they progressed through checkout. Those signals feed the retargeting logic, determining which product combinations to feature in subsequent display ads, at what frequency, and across which inventory sources on the open web.

Real-time reporting is built into the platform. Advertisers access dashboards showing campaign performance as it happens, rather than waiting for periodic managed-service reports. The measurement layer is designed for cross-channel comparison, allowing brands to place their display retargeting results alongside other performance channels.

The SME access problem in programmatic

Advanced programmatic retargeting has not been uniformly accessible. The structural barriers are well documented within the industry. Managed-service arrangements from enterprise-focused DSPs typically carry minimum monthly spend commitments that fall outside the budgets of most small ecommerce operations. Beyond cost, there is an operational dimension: running programmatic campaigns requires platform expertise, creative resources, and ongoing optimisation capacity that many SMEs simply do not have in-house.

According to Michael Lamb, Chief Commercial Officer at RTB House: "Budgets across the industry are tightening, and SMEs often lack internal resources yet are still expected to compete with larger businesses. This platform levels the playing field and does all the heavy lifting, enabling smaller brands to achieve their goals while addressing the high barrier to entry in advanced programmatic advertising."

Lamb also addressed the portfolio context of the launch. According to him: "We're thrilled to be able to add rtb.com as a new addition to the RTB House product portfolio. It has been built with SMEs and agencies in mind, allowing them to take full control of their campaigns. From intuitive setup to personalised display and instant access campaign results, this is the next phase in our efforts to provide simplified digital advertising to the industry at large."

The framing around self-service reflects a broader pattern across the adtech sector. Platforms that were once accessible only through sales teams and custom contracts have progressively added self-serve layers. Amazon DSP introduced AI-powered targeting for self-service advertisers in late 2025. Magnite launched a self-service Deal Discovery interface for PMP deal creation years earlier. The direction has been consistent: reduce the human intermediary requirement for accessing sophisticated inventory and targeting tools.

Deep Learning as the underlying architecture

RTB House has built its entire product portfolio on what it describes as proprietary Deep Learning algorithms - a distinction it draws explicitly from standard machine learning approaches. The company launched a dedicated Creatives Lab unit in early 2019, covered by PPC Land, focused on improving dynamic banner performance and developing new display and video creative formats. That unit's work feeds directly into the automated creative generation that rtb.com relies on today.

The distinction between Deep Learning and conventional programmatic bidding logic has operational consequences. Standard machine learning models working with programmatic signals tend to optimise on recent conversion data, which can favour re-engagement of users who were already close to conversion rather than broadening reach toward higher-intent users earlier in the journey. Deep Learning architectures process longer behavioural sequences and can weight signals across longer time horizons, which RTB House says enables it to address users at multiple stages of the purchasing funnel rather than concentrating budget on late-stage re-engagement only.

PPC Land covered RTB House's ContentGPT launch in November 2023, an earlier application of the company's AI infrastructure to audience insights using GPT-based analysis of open internet content. That product targeted enterprise clients seeking audience intelligence. rtb.com represents the opposite vector - the same underlying technology stack made accessible to advertisers without technical teams or large budgets.

The company has also built brand safety mechanisms into its platform. RTB House launched multi-layer brand safety controls using natural language processing to analyse webpage content in real time, developed and reported on by PPC Land in November 2018. The system that powers rtb.com carries those protections, meaning SME advertisers on the platform access brand safety infrastructure that was originally designed for large managed-service clients.

The open internet positioning

RTB House frames rtb.com explicitly as an open internet product. The platform reaches users "outside the walled gardens," according to the company's announcement. That positioning is not incidental. A meaningful portion of digital advertising spend flows into closed platform ecosystems - primarily Meta, Google, and Amazon - where targeting relies on first-party data those platforms control. Advertisers operating within those environments gain reach but surrender transparency and control over where ads appear and what signals drive targeting decisions.

The open internet alternative offers different trade-offs. Inventory quality is more variable, and the ecosystem is more fragmented, but advertisers gain access to display environments beyond the dominant platforms. Reaching high-intent users through publisher inventory outside the walled gardens requires programmatic infrastructure - the kind rtb.com now makes available to smaller advertisers. PPC Land has reported on the tension between walled gardens and open web alternatives, noting that newsletter advertising surged 40% as brands sought accountability outside closed platforms. A parallel logic applies to display programmatic: the infrastructure barriers that kept SMEs inside walled gardens are precisely what rtb.com is designed to reduce.

Infillion's January 2026 partnership with Yobi addressed the same structural tension from a different angle - bringing Performance Max-style optimisation to the open web for independent advertisers. rtb.com operates in adjacent territory: a self-service retargeting product for ecommerce brands that generates comparable reach across open internet inventory without requiring a managed relationship with an enterprise platform.

Shopify integration and first-party data

The platform includes a native Shopify connector. According to the rtb.com product documentation, the connector syncs the store automatically with the platform, allowing setup and first campaign launch in a small number of clicks. Shopify powers a substantial portion of the global SME ecommerce market, making this integration a practical requirement for the platform to reach the audience it is designed for.

The first-party data angle is also strategically relevant. rtb.com is built around the advertiser's own product catalogue and on-site behavioural signals. That architecture does not depend on third-party cookie data. The pixel captures declared behavioural intent - what users explicitly do on the advertiser's site - and the campaign logic operates on that signal. As third-party data availability has narrowed through browser restrictions and regulatory pressure, first-party behavioural retargeting has become more valuable, not less. The design of rtb.com aligns with that trajectory.

Magnite's January 2026 partnership with Cognitiv demonstrated similar logic at the supply-side level: using deep learning models to enrich programmatic decision-making at bid time without relying on degraded cookie signals. The pattern - deep learning applied to first-party and contextual signals rather than third-party data - runs through multiple platform developments that PPC Land has tracked heading into 2026.

What the success stories indicate

The rtb.com platform page references two early case studies. One describes an unnamed e-tailer adding rtb.com to its marketing mix and reporting "exceptional ROAS." The second describes a fashion brand lifting total online sales by 4.25% using the platform's Deep Learning-powered creatives. Neither case study provides methodology details or comparison periods, so the figures require the standard caveats applied to vendor-published performance data. However, the categories represented - a general e-tailer and a fashion brand - reflect the SME ecommerce audience the platform is targeting.

The 4.25% total online sales lift figure is notable in one respect. Retargeting campaigns typically report performance in terms of return on ad spend or conversion rate uplift for re-engaged users - metrics that measure the channel in isolation. A total sales lift figure, if accurately measured with proper incrementality controls, implies that the campaign produced net new revenue rather than capturing conversions that would have occurred anyway. RTB House has published thinking on incrementality testing methodology, though the case studies on the rtb.com platform page do not specify whether incrementality methodology was applied.

Industry recognition and company background

RTB House received the 2020 MarTech Breakthrough Award in the AdTech Innovation category, according to the platform's documentation. The company operates offices in New York, London, and Shanghai. Founded in 2012, RTB House has grown to cover over 3,000 active campaigns globally. The scope indicates that the underlying technology rtb.com draws on has been tested at enterprise scale before being adapted for self-service deployment.

The company's decision to create a separate domain - rtb.com rather than a product tier within rtbhouse.com - signals that the platform is positioned as a distinct product rather than a feature addition. That separation allows the brand to communicate clearly to SME advertisers and agencies who may not be familiar with RTB House's enterprise business, while keeping the managed-service offering distinct from the self-serve product.

Why this matters for marketing professionals

The structural barrier between enterprise-grade programmatic retargeting and small ecommerce operators has shaped competitive dynamics in digital advertising for years. Large brands with managed-service DSP access could deploy Deep Learning-powered retargeting across the open internet. Smaller brands largely could not, unless they accepted the constraints and opacity of walled garden retargeting products on Meta or Google.

rtb.com removes the contractual and operational barriers on the programmatic side. The no-minimum-budget and no-long-term-contract structure means smaller brands can test the channel without the financial commitment that enterprise programmatic has historically required. For agencies managing multiple SME clients, the self-service model also reduces the coordination overhead of a managed-service relationship while maintaining access to technology that was previously out of reach for that segment.

The launch matters in a specific context: programmatic advertising is becoming increasingly automated across all tiers of the market. Deep learning integration into the programmatic bidstream is no longer a differentiating feature at the enterprise level - it is becoming a baseline expectation. The question for smaller advertisers has been when that baseline would become accessible to them. RTB House's answer, as of March 4, 2026, is now.

Timeline

  • 2012: RTB House founded, building programmatic retargeting technology on Deep Learning architecture
  • November 2018: RTB House launches multi-layer brand safety platform using natural language processing, covering over one million catalogued articles
  • February 2019: RTB House launches Creatives Lab unit dedicated to dynamic banner and video creative development
  • July 2021: RTB House announces acquisition of WhitePress, a content marketing platform
  • August 2023: RTB House launches Snippet Ads delivering 2.5 to 3 times higher click-through rates versus static banners
  • November 2023: RTB House launches ContentGPT, a GPT-based audience insights tool for enterprise marketers on the open internet
  • January 6, 2026: Magnite partners with Cognitiv to integrate Deep Learning models into programmatic bidstream
  • January 15, 2026: Infillion and Yobi announce open web partnership bringing Performance Max-style AI optimisation to independent advertisers
  • January 22, 2026: Newsletter ad spending reported to have surged 40% as brands seek performance accountability outside walled gardens
  • March 4, 2026: RTB House launches rtb.com, a self-service programmatic advertising platform for SME ecommerce brands and agencies, available globally with no minimum budgets or long-term contracts

Summary

Who: RTB House, a global adtech company founded in 2012 and headquartered with offices in New York, London, and Shanghai, with more than 3,000 active campaigns across EMEA, APAC, and the Americas.

What: The launch of rtb.com, a self-service programmatic advertising platform powered by RTB House's proprietary Deep Learning technology, enabling SME ecommerce brands and their agencies to run personalised dynamic product ad campaigns across the open internet. The platform requires no minimum budget, no long-term contract, and no creative production from advertisers. It integrates natively with Shopify and generates ad creatives automatically from the advertiser's product catalogue.

When: RTB House published and announced the launch on March 4, 2026.

Where: The platform is available globally at rtb.com, accessible to ecommerce advertisers and agencies worldwide. Campaign delivery runs across open internet inventory - display placements outside the major walled garden platforms.

Why: RTB House identified that its Deep Learning retargeting technology was inaccessible to small and medium-sized ecommerce brands due to managed-service commitment requirements, minimum budgets, and operational complexity. The company built rtb.com to extend the same algorithmic infrastructure to a broader segment of the market at a time when programmatic advertising budgets are tightening and smaller advertisers are increasingly expected to compete with larger brands across digital channels.

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