RTB House

Overview

RTB House is an advertising technology company established in 2012, focusing on delivering personalized retargeting and performance marketing solutions. The platform is designed for e-commerce businesses aiming to optimize their digital advertising spend and increase online sales. RTB House distinguishes itself through its application of deep learning algorithms, which are used to predict user behavior and personalize ad creatives and bidding strategies in real-time across the open internet.

The company's core offering is a performance marketing platform that supports a full-funnel approach, encompassing prospecting, retargeting, and customer retention. This means advertisers can manage campaigns that target new potential customers, re-engage previous website visitors, and nurture existing clients. The platform's machine learning capabilities enable dynamic ad content generation, tailoring product recommendations and messaging to individual user preferences and browsing history. This personalization aims to increase the relevance of ads, potentially leading to higher conversion rates and improved return on ad spend (ROAS).

RTB House operates on a real-time bidding (RTB) model, allowing advertisers to bid on ad impressions as they become available. The deep learning algorithms analyze vast datasets to determine the optimal bid for each impression, considering factors like user intent, contextual relevance, and historical performance. This programmatic approach automates and refines campaign execution. The platform is best suited for businesses with significant online sales operations that require granular control over their retargeting efforts and seek to leverage advanced AI for campaign optimization. RTB House adheres to data privacy regulations such as GDPR and CCPA, ensuring compliance in its data handling practices.

Key features

• Deep Learning Algorithms: Utilizes advanced AI to analyze user behavior, predict intent, and optimize ad delivery and bidding in real-time for improved campaign performance.
• Personalized Retargeting: Delivers dynamic, personalized advertisements to users who have previously interacted with an advertiser's website, based on their specific browsing history and preferences.
• Full-Funnel Performance Marketing: Supports advertising efforts across the entire customer journey, from initial customer acquisition (prospecting) to re-engagement and retention strategies.
• Dynamic Creative Optimization (DCO): Automatically generates and optimizes ad creatives, including product recommendations and visual elements, to be most relevant to individual users.
• Real-Time Bidding (RTB): Participates in programmatic ad auctions, using AI to determine optimal bids for ad impressions based on predicted user value and campaign goals.
• Cross-Device Targeting: Aims to identify and reach users across multiple devices (desktop, mobile, tablet) to maintain consistent messaging and improve campaign effectiveness.
• Privacy Compliance: Built with adherence to major data protection regulations, including GDPR and CCPA, to ensure responsible data handling.

Pricing

RTB House offers custom enterprise pricing, which typically involves tailored agreements based on the specific needs and scale of each advertiser's campaigns. Prospective clients are generally advised to contact their sales team directly for a detailed quote. This model is common among platforms providing managed services and advanced programmatic advertising solutions.

For specific pricing inquiries, direct consultation with the RTB House sales team is required, as detailed pricing is not publicly disclosed on their website, a common practice for enterprise-level ad tech providers Criteo contact page.

Common integrations

As a performance marketing platform, RTB House integrates with various components of the digital advertising ecosystem. While specific developer-facing API documentation for custom integrations is not publicly emphasized, the platform typically connects with:

• E-commerce Platforms: Integrates with major e-commerce platforms (e.g., Shopify, Magento) to collect product catalog data and user behavior signals for retargeting. Information on Shopify's developer tools can be found on Shopify Admin REST API documentation.
• Analytics Platforms: Connects with web analytics tools (e.g., Google Analytics) to enhance audience segmentation and campaign performance measurement.
• Data Management Platforms (DMPs): Utilizes DMPs for audience segmentation and data enrichment to improve targeting accuracy.
• Supply-Side Platforms (SSPs) / Ad Exchanges: Integrates with SSPs and ad exchanges to access inventory for real-time bidding across various publishers.
• Tag Management Systems: Compatible with systems like Google Tag Manager or Tealium for efficient pixel implementation and data collection. Tealium iQ Tag Management overview provides insights into such systems.

Alternatives

• Criteo: A global technology company specializing in commerce media, offering retargeting and retail media solutions.
• AdRoll: Provides an e-commerce growth platform that includes retargeting, brand awareness, and email marketing features.
• Outbrain: A native advertising platform that helps connect publishers and advertisers, focusing on content discovery and audience engagement.

Getting started

RTB House primarily operates as a managed service, meaning direct developer API access for programmatic campaign management is not a publicly advertised core offering. Onboarding typically involves working directly with their account management and technical teams to implement tracking pixels and set up data feeds. The process generally includes:

1. Initial Consultation: Discussing business objectives and campaign requirements with an RTB House representative.
2. Pixel Implementation: Deploying the RTB House tracking pixel (JavaScript snippet) across the advertiser's website to collect user behavior data. This is often done via a tag management system.
3. Product Feed Setup: Providing a product data feed (e.g., in XML or CSV format) that contains information about the advertiser's products, including IDs, names, images, and prices.
4. Campaign Configuration: Working with the RTB House team to define campaign goals, budget, audience segments, and creative templates.
5. Launch and Optimization: Launching campaigns and continuously optimizing performance based on deep learning insights and ongoing collaboration.

While direct API interaction for advertisers is not a standard feature, the setup process is managed by RTB House specialists. Below is an illustrative example of a JavaScript snippet for a hypothetical conversion tracking pixel, similar to what might be provided by a retargeting platform for integration:

<!-- RTB House Conversion Tracking Example -->
<script type="text/javascript">
  (function() {
    var rtb = window.rtb || {};
    window.rtb = rtb;
    rtb.queue = rtb.queue || [];
    rtb.queue.push(function() {
      rtb.track("conversion", {
        order_id: "ORDER_ID_123", // Replace with actual order ID
        value: 99.99,            // Replace with actual order value
        currency: "USD",         // Replace with actual currency
        products: [
          { id: "PROD_SKU_A", quantity: 1, price: 50.00 },
          { id: "PROD_SKU_B", quantity: 1, price: 49.99 }
        ]
      });
    });
    var s = document.createElement("script");
    s.type = "text/javascript";
    s.async = true;
    s.src = "https://tracker.rtbhouse.com/rtb-pixel.js?id=YOUR_CLIENT_ID"; // Replace YOUR_CLIENT_ID
    var x = document.getElementsByTagName("script")[0];
    x.parentNode.insertBefore(s, x);
  })();
</script>
<!-- End RTB House Conversion Tracking Example -->

This snippet demonstrates how a client-side script would typically be used to send conversion data back to the platform, enabling accurate measurement and optimization of campaigns. The YOUR_CLIENT_ID would be a unique identifier provided by RTB House for each advertiser.