Datads: Optimizing the profitability of media campaigns with Google Cloud
Customer Company Size
Startup
Region
- Europe
Country
- France
Product
- Google Cloud
- BigQuery
- Cloud Run
- Vertex AI
Tech Stack
- Google Cloud
- BigQuery
- Cloud Run
- Vertex AI
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Productivity Improvements
- Revenue Growth
Technology Category
- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Data Management Platforms
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- E-Commerce
- Software
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Digital Twin
- Remote Asset Management
Services
- Cloud Planning, Design & Implementation Services
- Software Design & Engineering Services
- System Integration
About The Customer
Datads is a Paris-based startup founded in 2021, specializing in generating customer experiences driven by artificial intelligence. With around 40 employees, the company has quickly built a solid reputation through its SaaS 'Post-Click Experience' solution, which has attracted major ecommerce brands such as L'Occitane, Fnac Darty, Darjeeling, IDKIDS, Kiabi, and Claudie Pierlot. The founders of Datads have extensive experience in advertising and digital marketing, which they have leveraged to create a solution that optimizes the profitability of media campaigns. The company's innovative approach focuses on improving the user experience for those who click on ads, while also maximizing the return on marketing investments. Datads' rapid growth and adoption by major brands highlight its success in the competitive ecommerce landscape.
The Challenge
Datads, a startup founded in 2021 and based in Paris, faced the challenge of optimizing the profitability of media campaigns for major ecommerce brands. Despite being a young company, Datads aimed to revolutionize ecommerce through its 'Post-Click Experience' solution powered by AI and Google Cloud. The company needed to improve the user experience for those who click on ads, while also increasing the profitability of marketing investments. This required a solution that could dynamically optimize post-click interactions to maximize conversions and sales. Additionally, Datads needed a scalable infrastructure to support its growth without overinvesting in an oversized architecture at the start.
The Solution
Datads developed an innovative 'Post-Click Experience' solution that improves the user experience for those who click on ads, while increasing the profitability of marketing investments. The solution dynamically optimizes post-click interactions by directing users to pages specially designed by Datads, which are built on the fly and optimized based on user context, such as origin, product type, and behaviors. This approach not only displays the product that prompted the click but also additional or alternative items, enhancing the chances of conversion. Datads relies on Google Cloud infrastructure and services for technical, strategic, and practical reasons. The proximity to Google Shopping, a core business for Datads, naturally steered the choice toward Google Cloud to benefit from optimal connectivity. Google Cloud's managed services, specifically Cloud Run and BigQuery, have contributed to economic and technical optimization by providing a scalable infrastructure that supports growth without overinvestment. Additionally, Datads is considering using Vertex AI to strengthen its AI approach, allowing the company to enrich its solutions while centralizing operations in the Google Cloud ecosystem.
Operational Impact
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