Case Study: Podar Education Network achieves 79% of admission queries answered and 31% MQL conversion with Engati

How Podar Education optimizes the admissions process

Podar Education Network partnered with Engati to streamline incoming admissions queries and integrate lead capture with their systems. Facing high volumes of prospective-student inquiries and a need to reduce agent workload, they deployed Engati’s conversational modeler and trainable intelligence to handle first-line interactions and route leads.

Engati implemented a chatbot that answered queries directly before they reached agents and integrated with backend systems to store leads; as a result, the bot handled 79% of queries and converted 31% of users to MQLs, improving lead capture and funnel efficiency. Engati’s solution reduced agent intervention and accelerated the admissions process.

Podar Education Network