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Industry
Education
Use case
Lead capture
Automation
Lead Nuture
Features used
Founded on the belief that language is best learned through practice, Inlingua has built its reputation as one of the leading names in professional language training, using a speak-to-learn methodology and structured materials across a global network of centers.
Challenges before Gallabox
As more students searched for flexible training solutions, Inlingua faced growing challenges: difficulty reaching students quickly and effectively via social media and cold outreach, manual follow-ups consuming bandwidth and causing delays, and limited personalization at scale. The result: Inlingua risked losing valuable prospects simply because it couldn't engage them fast enough.
Why Inlingua chose Gallabox
Initially referred to Gallabox through industry peers, Naser and the Inlingua team found the platform offered a consolidated, direct, and scalable approach to student engagement — generating more leads through automated workflows, streamlining student communication into one platform, and automating repetitive support such as FAQs, class schedules, and enrollment processes.
Impact on business growth
With Gallabox, business growth doubled (2x impact); lead generation shot up by 50% as more inquiries were captured and nurtured through WhatsApp; employee productivity rose by 50%; and marketing and advertising spend dropped by 50% with automation delivering better returns at lower costs.
By adopting Gallabox, Inlingua transformed its communication from resource-heavy and fragmented into a seamless, automated, student-first experience.
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Gallabox helped us turn customer conversations into a more scalable, connected, and measurable growth channel. With automation and HubSpot integration, we now engage prospects faster and nurture leads more consistently. Resolving 90% of customer queries through the chatbot has helped our sales team focus on high-value opportunities.
Amal Jood
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90%
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2B+
conversations handled
800M+
messages automated
180M+
business outcomes generated
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