Price Sensitivity and Pricing
Launch Effectiveness

During the initial launch of a product or service, sales data are often used as the primary metric to evaluate success. However, sales figures alone can obscure a comprehensive understanding of customer experiences and actual product usage.

Shiluv’s Post-Launch Model incorporates both qualitative and quantitative dimensions alongside sales metrics, assessing in real-time product awareness, trial rates, customer satisfaction (or dissatisfaction), usage habits, and user experience. This enables early identification of product strengths and areas requiring improvement, even before the second launch phase or subsequent rollouts.

The research consists of four core modules:

1. Awareness and Initial Trial Measurement
2. Satisfaction and Usage Impressions Analysis
3. Usage Habits and Expectation Gap Assessment
4. Identification of Purchase Drivers, Barriers, and Future Growth Potential

Upon completion, the research delivers clear outcomes, including statistical reports on key performance indicators (KPIs), segmentation of target audiences (trial vs. non-trial), analysis of purchase barriers and motivators, market potential estimations, and actionable recommendations aimed at enhancing awareness, stimulating trial, and driving continued purchase behavior.