Ruuvy

Advanced Analytics for Influencers

About

Ruuvy, a San Diego-based startup, offers a comprehensive solution for influencers and celebrities to manage their online presence across various social media platforms. It simplifies content organization and audience engagement, providing a unified approach to digital interaction.

Industry

Custom software development

Project duration

2020

Project scope

Backend development

Frontend development

Deployment

Technology

Python, Pyramid, Angular, Google App Engine

Background

Ruuvy empowers influencers and celebrities to effectively manage their social media profiles and websites, enhancing their engagement with fans and followers.

Challenge

After securing contracts with high-profile celebrities like Whitney Port, Ruuvy needed to develop a new product capable of capturing detailed information on website traffic. The challenge was to design an attractive, customizable widget that could solicit feedback from website visitors without compromising the performance under the massive web traffic of over 100,000 active visitors per month.

Results of the collaboration

Ulam Labs developed a widget that activates upon a new visitor's arrival at a celebrity's website, featuring a standard questionnaire linked to an analytics tool. This innovation enables Ruuvy and its celebrity clients to gain in-depth insights into visitor profiles and web traffic patterns. The integration with Google BigQuery allows for efficient data analysis, transforming Ruuvy into a powerful tool for data mining and social network analysis.

Ruuvy's innovative platform, backed by advanced technological solutions from Ulam Labs, has set a new standard in online presence management for influencers, unlocking the full potential of data-driven engagement and analysis.

Impact

Key features

Google App Engine

Chosen for its robust platform-as-a-service capabilities, allowing the app to handle heavy traffic loads on Google's infrastructure.

Bigtable Database

Utilized to manage the extensive information flow, ensuring scalability and reliable data distribution across numerous servers.

BigQuery

This serverless data warehouse enhances data analysis efficiency, offering scalable, cost-effective solutions for comprehensive data examination.

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