Optimizing Pricing and Packaging for a Freemium SaaS Productivity Platform

Objective: To design data-driven pricing and packaging recommendations for a freemium SaaS product targeting Indian SMBs and startups.

Problem & Context: Indian SaaS companies offering productivity solutions to SMBs and startups often struggle to convert free users to paid customers, due to unclear value differentiation and ineffective pricing tiers. A structured pricing-and-packaging strategy is essential for sustainable growth and monetization in a highly price-sensitive market.

Approach & Methodology: The student team will analyze existing freemium SaaS models in India, gather data from user interviews, surveys, and competitor benchmarking, and apply product management and pricing frameworks to identify optimal feature segmentation and price points. The project involves synthesizing market insights, usage analytics, and customer feedback.

Deliverables & Analysis: Key outputs include a pricing model, feature-package mapping, conversion funnel analysis, competitor comparison, and actionable recommendations for tier design and pricing. The analysis will use Excel modeling, survey data, and customer segmentation techniques, with results reviewed by product managers and faculty.

Business Impact & Decision: The project informs strategic decisions on monetization, user acquisition, and retention, enabling the SaaS company to maximize conversions, revenue, and customer satisfaction in the Indian market.