May 15, 2023
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Completed
Targeted Advertising System & API Built with AWS
$100,000+
7-12 months
Singapore
2-5
Service categories
Service Lines
Big Data
Domain focus
Advertising & Marketing
Programming language
Python
Frameworks
Torch/PyTorch
Subcategories
Big Data
Data Mining
Text Analytics
Challenge
The Client initially approached InData Labs with a request for building a machine learning algorithm which, for a given set of keywords, finds the most relevant users based on the list of websites they have previously visited.
The InData Labs team was challenged with the development of a robust NLP semantic analysis solution that can download and analyze millions of web pages visited by users. The solution must quickly identify and provide to the Client’s advertising platform user segments that are most relevant to the keywords specified for advertising campaigns.
The Client initially approached InData Labs with a request for building a machine learning algorithm which, for a given set of keywords, finds the most relevant users based on the list of websites they have previously visited.
The InData Labs team was challenged with the development of a robust NLP semantic analysis solution that can download and analyze millions of web pages visited by users. The solution must quickly identify and provide to the Client’s advertising platform user segments that are most relevant to the keywords specified for advertising campaigns.
Solution
The task was to build a stand-alone system using AWS Cloud Environment and several open-source products that communicate with the Client’s advertising platform via API.
InData Labs built a system that allows the client to build relevant user segments for their advertising campaigns, monitor ad campaign performance, increasing their effectiveness.
The task was to build a stand-alone system using AWS Cloud Environment and several open-source products that communicate with the Client’s advertising platform via API.
InData Labs built a system that allows the client to build relevant user segments for their advertising campaigns, monitor ad campaign performance, increasing their effectiveness.
Results
The expert team built a system that allows the Client to build relevant user segments for their advertising campaigns, monitor ad campaign performance, thereby increasing their effectiveness. The built system is scalable and allows them to increase/decrease the number of workers in different parts of the system if it’s needed.
Real-life test conducted by the Client showed that the use of this system reduced advertising costs by 54%.
The expert team built a system that allows the Client to build relevant user segments for their advertising campaigns, monitor ad campaign performance, thereby increasing their effectiveness. The built system is scalable and allows them to increase/decrease the number of workers in different parts of the system if it’s needed.
Real-life test conducted by the Client showed that the use of this system reduced advertising costs by 54%.