Next-Gen Retargeting
Personalized retargeting chosen by deep learning, including products the user has not viewed; setup and creative sit with the RTB House team.
ExploreRTB House is a DSP that buys product ads on the open web and uses deep learning for bidding, product recommendations and targeting. It is best known for retargeting, and for most brands it runs as a managed service: the RTB House team builds the campaigns and creatives. Our job is to choose which product to start with, prepare the data and measure the results independently.
We turn to RTB House for e-commerce brands that want to leave campaign management to the platform team. Of the goals of turning visitors into buyers, acquiring new customers, generating quality traffic and creating demand, we pick the account's weakest one and run it on the open web with product ads selected by deep learning. We take on the strategy, data preparation and independent measurement.
Funnel stages it serves
Personalized retargeting chosen by deep learning, including products the user has not viewed; setup and creative sit with the RTB House team.
ExploreDynamic product ads over several touchpoints for users who have never ordered; we own the new customer definition and measurement.
ExploreAn RTB House solution that optimizes for tag-verified site visits, not clicks; we check visit quality in GA4.
ExploreRTB House video and display ads with product overlays that build awareness and consideration among new, in-market audiences.
ExploreRTB House sets itself apart from competitors using classic machine learning in one key way: instead of lookalike models built on historical data, it tries to find the person who will convert from unstructured, real-time behavioral signals. Its product recommendations aren't limited to items the user has viewed; it also puts products the user has never seen into the ad. The model also learns continuously, without waiting for periodic intervention from engineers.
Since 2025, IntentGPT has been added on top of this. Used across all RTB House products, this layer uses large language models to interpret page content and the product feed, enabling cookieless, intent-based contextual targeting. On Turkish sites with a high share of users who don't give cookie consent, this layer carries more weight.
RTB House groups its products into conversion, new customers, engagement and demand generation. All four use the same tag and feed infrastructure, so starting with one product and moving to another is technically easy. We decide which one to start with by looking at the account's current gap: is the retargeting pool being wasted, are new customers too few, or is traffic quality low?
When the RTB House team builds and optimizes the campaign, the agency's role doesn't shrink; it changes. We handle the tag and feed setup through Google Tag Manager, give RTB House goals and exclusions as a written brief, and approve creatives against brand guidelines. Most importantly, we compare the sales RTB House reports with GA4 and order data and monitor overlap with other channels. If Criteo is also running on the same audience, we pause one or separate the audiences.
We recommend it
We don't recommend it
Metrics we track
What you need to get started
Official sources
To learn more about RTB House ad formats, contact The Brand Move RTB House team today.
Google's DSP. We buy YouTube, open web, CTV, audio and DOOH inventory with one frequency control, private deals and Floodlight measurement.
ExploreAmazon DSP display, video and Prime Video ads targeted with Amazon's shopping and streaming signals. Open to brands that don't sell on Amazon too.
ExploreDynamic retargeting on the open web with OneTag and a product feed, new customer campaigns, and retail media on retailer sites.
ExploreTheADX, a local DSP developed in Türkiye that says it hosts data in the country: for financial brands and local publisher inventory.
ExploreTaboola advertising on Realize: native, video and display ads on news and content sites, managed for conversions beyond search and social.
ExploreA demand-side platform (DSP) for product-focused ads on the open web. Its bidding, product recommendations and targeting run on deep learning models, and since 2025 its IntentGPT layer adds cookieless contextual targeting. Its four products cover retargeting, acquisition, quality traffic and demand generation.
The self-serve platform is built mainly for small e-commerce sites and also has a Shopify app. In the managed service, the RTB House team handles campaign setup, creative production and day-to-day optimization. For medium and large catalogs we usually prefer the managed model.
They can, but not on the same audience without a plan. Two retargeting providers on the same visitors compete with each other and can both claim the same sale. We compare each platform's reported sales with GA4 and order data and, if they overlap, pause one or split the audiences.
RTB House states that it does not pool or sell advertisers' first-party data. We still recommend spelling out in the contract and in your privacy notice (including KVKK, Türkiye's personal data protection law, where it applies) what the tag collects, how long it is kept and the scope of any data sharing.
No. IntentGPT is the contextual targeting layer used across all RTB House solutions. It doesn't need to be switched on in the campaign; we simply add to the brief the content categories where you don't want ads to appear.
In a free call we review your audience, inventory needs and measurement setup, then tell you in writing which platform makes sense to start with.