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3 weeks · La French Tech · Bachelor 1

La French Tech 3 weeks

Startup Ecosystem Portrait & Growth Strategy

Building a startup database from scratch via web scraping, analyzing the Aix-Marseille ecosystem, and identifying new growth levers — presented to the DG of La French Tech.

DataStrategyConsultingAutomation

Business Context

La French Tech Aix-Marseille Région Sud needed a data-driven portrait of its members and a strategy to unlock new revenue streams. No structured database existed — the data had to be built from scratch.

Strategic Problem

How to create a detailed portrait of La French Tech's startups, highlight typological differences between free and paid memberships, and identify new funding levers for organic and external growth?

Data Sources

Custom-built database via web scraping of startup profiles, membership data, funding rounds, sector classifications, and ecosystem metrics. Challenging dataset requiring extensive data cleaning.

Methodology

Developed web scraping scripts to build the startup database from scratch. Analyzed typological differences between free and paid memberships. Identified organic and external growth strategies with new funding levers. Presented findings directly to the DG of La French Tech Aix-Marseille Région Sud.

Key Results

Won the BDD challenge. Delivered a comprehensive ecosystem portrait with actionable growth and funding strategies.

Business Impact

Framework directly applicable to any regional tech ecosystem seeking to scale membership models and unlock new revenue streams.

Contributors

ASAnna SpiraNPNamie PajotENEnzo Natali