Egyptian social media monitoring tool 'Crowd Analyzer' raises $1.1 million
Photo credit: Mohamed Ali eddin - alieddin.com

Crowd Analyzer, the Arabic-focused social media monitoring tool, has received pre-Series A funding of $1.1 million from a group of venture capital firms in Kuwait, Saudi and the UAE.

The group of investors was led by Wamda Capital and included Arzan Capital, Faith Capital and Raed VC. This fund will enable Crowd Analyzer to scale up the business and expand its operations in Saudi Arabia and the MENA region.

Crowd Analyzer was founded in 2014 by Egyptian entrepreneurs Ahmed Saad and Bahaa Galal, started commercial operations in 2016, with headquarters in UAE and Egypt. The company is specialized in Arabic-focused social media monitoring, analyzing content and conversations for sentiment, relevance and Arabic dialect.

Crowd Analyzer’s portfolio includes major corporations in 10 different Arab countries and features international brands including Dubai Media Group, International Committee of the Red Cross, Expo 2020, Huawei, Souq.com, DHL and Uber.

“For three years, Crowd Analyzer has delivered actionable intelligence and data enabling world-class companies in the region to harness the power of social media. As the only Arabic-focused social media monitoring platform, we offer our clients invaluable data that incorporates regional dialects, relevance and of course sentiment analysis. This latest round of funding will enable us to continue our growth in Saudi Arabia and allow us to explore further opportunities in the regional market.” Said Ahmed Saad, CEO and cofounder.

Crowd Analyzer has supported major regional and international events such as the Creative Industry MENA, World Government Summit, Cannes Lions and Dubai Lynx through setting up command centers to garner real time information on the conversations surrounding the events on social media as well as PR mapping, competitor benchmarking, brand health audits and influencer analysis.

Bahaa Galal, CTO and Co-founder of Crowd Analyzer, said: “Our use of AI and Machine Learning enables us to better monitor social media and mine data, providing brands and organizations with the most up-to-date and relevant insights.”

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