WhoIsBlogger

Discover how we successfully helped our client, WhoIsBlogger, from the advertising industry, develop a custom software tool that would optimally select bloggers for their client's specific advertising campaigns and promote their services or products.
Technologies:
Java, React.js, Elasticsearch
Industry:
Advertising
Region:
Russia
Volume:
0.5 man/year
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Description

WhoIsBlogger, an influencer advertising agency that uses Big Data to organize effective influencer marketing campaigns, reached out to our team with a request to create a custom software tool. Their goal was to optimize their clients' marketing campaigns by selecting the most relevant bloggers to promote the client's services or products.

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Challenge

The main challenge we faced was gathering statistics on the activities of a substantial number of bloggers, totaling about 300 million entries. Manually researching these bloggers would have been too time-consuming and prone to error. Our task was to create a custom tool that could quickly and efficiently select the most suitable bloggers based on specified criteria and identify those who promote specific products or brands, which was crucial for business intelligence and analytics.

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Solution

To achieve fast access to high volumes of data (about one second per request), we opted for ELK as the data storage solution. We developed a software system with a Java-based backend and a React-based frontend.


The influencer marketing tool helped to gather and research 300 mln blog posts in total, select essential keywords from their client’s advertising materials, and identify the most suitable bloggers or influencers to promote their services or products.

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