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Google > 实例探究 > Datads: Optimizing the profitability of media campaigns with Google Cloud

Datads: Optimizing the profitability of media campaigns with Google Cloud

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公司规模
Startup
地区
  • Europe
国家
  • France
产品
  • Google Cloud
  • BigQuery
  • Cloud Run
  • Vertex AI
技术栈
  • Google Cloud
  • BigQuery
  • Cloud Run
  • Vertex AI
实施规模
  • Enterprise-wide Deployment
影响指标
  • Customer Satisfaction
  • Productivity Improvements
  • Revenue Growth
技术
  • 分析与建模 - 机器学习
  • 平台即服务 (PaaS) - 数据管理平台
  • 分析与建模 - 预测分析
适用行业
  • 电子商务
  • Software
适用功能
  • 销售与市场营销
  • 商业运营
用例
  • 数字孪生
  • 远程资产管理
服务
  • 云规划/设计/实施服务
  • 软件设计与工程服务
  • 系统集成
关于客户
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.
挑战
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.
解决方案
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.
运营影响
  • Datads' 'Post-Click Experience' solution has been rapidly adopted by major ecommerce brands, demonstrating the importance of the company's technological and strategic choices.
  • The solution allows for quick deployment, requiring little or no IT support, which is advantageous for client companies.
  • Google Cloud's managed services provide Datads with both elasticity and optimal performance in a fully automated way, supporting the company's growth.
  • The use of machine learning models and AI models helps Datads optimize product descriptions and images, improving conversion rates.
  • Google Cloud's support through its startup program allowed Datads to test and optimize its solution without major financial limitations, crucial for a startup in its early stages.

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