Statistical methods such as regression analysis, ANOVA, factor analysis, and cluster analysis are commonly used to uncover patterns, relationships, and segmentation opportunities in market research data.
Survey questions are crafted with neutral wording, avoiding leading or loaded language. Pre-testing the survey with a small audience, using balanced answer choices, and seeking feedback help identify and eliminate potential biases.
Google Analytics is used to track website traffic, analyze user behavior, and measure conversion rates. It provides insights into audience demographics, acquisition channels, and customer journeys, helping refine marketing strategies and improve engagement.
Conjoint analysis helps understand consumer preferences by presenting respondents with trade-offs between product attributes. It identifies the relative importance of features, enabling businesses to design products that better meet customer needs.
Competitor benchmarking involves identifying key competitors, analyzing their strengths and weaknesses, and comparing factors like pricing, product features, market share, and customer satisfaction. Tools like SWOT analysis and market reports help provide actionable insights.
