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RTB House

"Helps businesses create personalized online target ads."

Case Study
Frequently Asked Questions
It's a technology company, utilizing deep learning to automate the creation of ad campaigns. Their approach hinges on using historical behavior data of users to produce targeted ads, boosting conversion rates, revenues and customer loyalty.
RTB House Stated Claims
These are public claims Blurbs AI believes to have been made by RTB House.
Deep Learning Excellence
RTB House claims that their campaigns improve autonomously through Deep Learning, offering exponentially more power than other technologies.
Cookieless Future Readiness
RTB House claims that they are ideally placed to offer solutions for the new cookieless paradigm as cookies are crumbling.
Contextual Understanding
RTB House claims that their ContextAI helps understand customers better by looking at online behavior in more detail, assessing the deeper context of actions, and evaluating purchase intent without using third-party data.
BlurbSTAR Case Study
McDonald's & RTB House
McDonald's app boosted by RTB House retargeting strategy.
200%
Higher conversion rate achieved
500%
Improved click-through rate
1.
Situation
McDonald's Faces App Engagement Hurdles
→
Global fast-food leader faces competition.
→
Challenge to enhance app sales and engagement.
→
RTB House called for retargeting solutions.
McDonald's, a global leader in the fast-food industry, encountered a significant challenge. Despite its widespread recognition and popularity, the company faced stiff competition from rival restaurants heavily investing in advertising and app-based customer engagement. McDonald's main challenge was to elevate app sales and customer interactions while maintaining campaign efficiency. To address this, RTB House was engaged by Arcos Dorados, a prominent regional franchiser, to help McDonald's tackle these issues across multiple Latin American countries. The task demanded a comprehensive understanding of a diverse audience and the ability to reach them at optimal times with enticing offers.
2.
Task
Create Personalized Retargeting Strategies
→
Develop targeted digital marketing strategies.
→
Utilize data for personalized user engagement.
→
Craft campaigns tailored to local audiences.
RTB House's mission was clear: design and deploy strategies that would effectively bolster McDonald's app retargeting efforts in various Latin American markets. This involved leveraging technology and data-driven insights to craft highly personalized advertising elements that resonated with individual users. The plan was to showcase the right product to entice customers' appetites at their most receptive moments, driving app engagement and sales. Emphasis was placed on understanding local market dynamics, customer behavior, and preferences to tailor each campaign to the specific audience's needs.
3.
Action
Real-time, Deep Learning Tech Solution
→
Deploy AI technology for real-time adaptation.
→
Dynamic content personalized to user behavior.
→
Focus on increasing app interaction and sales.
The RTB House team initiated a strategy centered around advanced AI-driven solutions. Using deep learning technology, they managed to adapt marketing campaigns in real-time based on app user activity. This included postback mapping to categorize and redirect users based on preferences like in-store pickup or home delivery. Personalized, dynamic banners were displayed, highlighting precise product recommendations to captivate and engage users effectively. This approach driven by real-time adjustments allowed RTB House to map user tendencies with precision, fostering increased app interactions and sales.
4.
Result
Substantial Boost in App Engagement
→
Conversion rate outperformed competitors two-fold.
→
Click-through rate exceeded by five times.
→
User retention increased by 50%.
The collaboration with RTB House yielded impressive results for McDonald's across Latin America. A standout initial campaign in Chile paved the way for broader implementation in countries like Uruguay, Costa Rica, and Panama. The innovative strategy led to new app users achieving a conversion rate twice that of competitors' efforts. The click-through rate soared five times higher than that of rival campaigns, and user retention saw a 50% enhancement versus competitors. These substantial improvements have positioned McDonald's and RTB House to explore further expansion opportunities, ensuring McDonald's remains at the forefront with its world-class food app.
Keywords
MCDONALD'S
RTB HOUSE
DIGITAL MARKETING
APP ENGAGEMENT
RETARGETING SUCCESS
DEEP LEARNING TECHNOLOGY
CONVERSION RATES
CLICK-THROUGH RATES
USER RETENTION
PERSONALIZED ADVERTISING
The Blurbs FAQs
Frequently Asked Questions
Answers provided by RTB House staff and vetted by Blurbs.
10 Standardized Blurbs Questions
1.
Who are your typical customers?
Small businesses
Medium businesses
Large businesses
Enterprises
Can't Say
2.
What verticals do your typical customers belong to?
Retail & E-commerce
Technology & Software
Healthcare & Life Sciences
Financial Services
Education
Travel & Hospitality
Media & Entertainment
Consumer Goods
Automotive
Telecommunications
Non-profit & Social Enterprises
Real Estate
Manufacturing
Food & Beverage
Professional Services
Government & Public Sector
Can't Say
3.
How do you collect and monitor consumers and their data?
Cookies
Javascript
Pixels
Local Storage
IP Address
Fingerprinting
Behavioral
Third Party Data
Location
Cross-Device
I can’t answer
N/A
4.
Is your platform CCPA and GDPR compliant?
Yes
Only CCPA
Only GDPR
No
5.
What is your standard 'time-til-live' for clients?
Days
Weeks
Months
6.
What does a client need to install to start using your service?
Provide data
Install technology
Manual API Integration
7.
How do you provide customer service?
Dedicated account manager
Live chat
Email support
Phone support
Self-service knowledge base
Social media support
In-app support
24/7 support
8.
How do brands measure the success of a campaign using your platform?
Performance
Can't Say
Customer Engagement
Revenue Growth
Brand Awareness
Operational Efficiency
Customer Retention
Customer Satisfaction
Other
9.
What integrations do you offer?
E-Commerce Platforms
CDPs
Digital Advertising
Measurement
Consumer Messaging
Custom APIs & Webhooks
10.
What is your pricing model?
Subscription-based
Pay-per-use
Tiered pricing
Performance-based pricing
Custom contract pricing
Free trial or freemium model
Can't Say
10 Retargeting-Specific Questions
11.
What types of retargeting do you offer (site retargeting, dynamic retargeting, social retargeting, CTV, email, etc.)?
"RTB House offers a blend of 1st party audience site and dynamic product ad retargeting. The platform is multi-channel and we reach audiences across web, mobile, and app environments."
12.
How does your platform handle cookieless tracking and first-party data retargeting?
"Cookieless tracking is enabled via RTB House's partnership with Google Privacy Sandbox. Our systems are configured to work seamlessly with Protected Audience API."
13.
What ad inventory and channels do you support (Google Display Network, programmatic, social, retail media, CTV, etc.)?
"RTB House is entirely a programmatic platform. We offer reach across display and video inventory, across web, mobile web, and app channels."
14.
Can your platform integrate with our first-party data sources (CDP, CRM, ESP, Shopify, Google Analytics, etc.)?
"RTB House offers a wide range of integrations with data platforms, CRM systems, measurement providers. Specific custom use cases and partnerships can be enabled upon request."
15.
How does your dynamic creative optimization (DCO) work, and can it personalize ads based on user behavior?
"RTB House's Dynamic Creative is flexible to maximize branding elements, while incorporating full dynamic product ad shoppability. All ads are personalized at the user level based on user behavior."
16.
How does your bidding and optimization strategy work to maximize ROAS?
"RTB House leverage a Deep Learning AI to help with programmatic decisioning. All bidding and optimization are fully automated and handled by our AI. "
17.
What attribution models do you use, and how do you measure retargeting effectiveness?
"Click and view based attribution models are the primary attributed measures for success. Additionally, RTB House leverages incrementality testing frameworks to measure iROAS success of campaigns."
18.
How do you prevent ad fatigue and frequency overload for returning customers?
"Frequency management is automated via our Deep Learning AI. Ad fatigue is prevented given our AI determines at the user level if advertising frequency should be lowered, increased, or ceased."
19.
What level of transparency do you provide in reporting and audience segmentation?
"RTB House is a fully transparent platform. We are able to offer publisher level reporting."
20.
Do you offer lookalike audience expansion beyond retargeting?
"RTB House offers lookalike audiences via our ContextAI solutions. ContextAI helps our systems build contextually relevant audience segments based on actual user purchase intent vs. traditional keyword based segmentation. "
RTB House
Website
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