Jun 25, 2025

A leading mobility brand approached Xcel Global Panel to conduct a pan-India market research initiative targeting 18–45-year-olds who use auto-rickshaws and two-wheeler ride services. This auto-rickshaw and bike service users case study included brand-specific quotas and was executed as part of a broader urban mobility case study in India, delivering 1,000 completes in just 4 days.
Business Challenge
A leading player in India’s mobility services sector approached Xcel Global Panel to execute a rapid urban survey focused on users of auto-rickshaw and two-wheeler bike services across the country. The study targeted individuals aged 18–45, with the added complexity of delivering consumer ride insights and brand-specific data, not just generic ride-hailing user trends.
The client required a nationwide reach with quotas aligned to specific brands, ensuring representation from metros, Tier 1, and Tier 2 cities alike. With an ambitious target of 1,000 qualified completes within just 4 days, the study demanded a combination of speed, scale, and demographic precision - without compromising data quality or regional coverage of urban transit research.
Our Approach
To meet the client's aggressive timeline and precise targeting needs, Xcel Global Panel leveraged its deeply profiled national panel to identify users of specific auto-rickshaw and two-wheeler services across major urban hubs. This enabled a mix of commuter persona profiling, regional consumer behavior mapping, and geo-targeted sampling.
Our team implemented a geo-stratified sampling strategy to ensure pan-India mobility data representation and integrated brand-level screening to support regional brand mapping and transport usage segmentation.
Real-time quota tracking and automated quality checks enabled us to maintain delivery speed and integrity, achieving over 1,000 qualified completes within just 4 days. This supported a robust collection of real-time mobility data and enhanced mobility service feedback accuracy.
Results
Delivered 1,000+ fully qualified completes within the 4-day deadline, meeting all brand and demographic quotas.
The study revealed actionable insights into:
Urban mobility preferences segmented by vehicle type and brand
Commuter satisfaction scores, loyalty, and brand switching data
Regional differences in transport behavior, expectations, and mobility usage frequency
These findings provided the client with granular India mobility analytics, enabling smarter user acquisition analytics, targeted service refinement, and sharper consumer brand perception strategies for a fast-evolving, competitive mobility ecosystem.
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