Detailed Narrative
AI Automation Pivot
Management is aggressively deploying AI to handle customer interactions and improve catalog quality. AI-based voice bots are currently handling 10,000 to 20,000 calls per day, with a target to reach 100,000 calls per day by January 1, 2026. This initiative aims to solve the 'black box' of 3 crore monthly calls between buyers and suppliers through automated analytics and sentiment analysis.
The Churn Challenge in Silver Segment
The silver segment continues to be a point of stress with monthly churn remaining elevated at 7%. Despite various interventions like reducing competition per buyer and improving inquiry quality (80-90% of RFQs now have specifications), these efforts have not yet translated into significant churn reduction. Management remains cautious, refusing to provide forward guidance on net supplier additions until they have a better grip on this segment.
Strategic Shift in KPIs
IndiaMART is officially dropping 'Traffic' as a Key Performance Indicator. CEO Dinesh Agarwal explained that AI crawlers from companies like Meta, OpenAI, and Perplexity have made it nearly impossible to differentiate between human users and machine traffic. The company will now focus on 'Unique Business Inquiries' (31 million in Q2) as a more reliable lead indicator of growth.
Busy Infotech Momentum
The Busy Infotech subsidiary showed strong momentum with billing of ₹38 crores in Q2, representing a normalized YoY growth of 57%. The segment sold 12,000 new licenses during the quarter, bringing the total to 421,000. Management expects this momentum to continue, though they noted that Q4 and Q1 are typically stronger for accounting software due to the financial year-end.
ARPU Expansion Strategy
ARPU for the top 1% of customers has nearly doubled from ₹6 lakhs in FY21 to approximately ₹11 lakhs. This growth is primarily driven by price hikes and customers opting for multi-city and multi-keyword targeting. Management believes a sustainable ARPU growth rate of 6-8% is achievable over the long term⏳ as they better serve medium and large enterprises.