Data driven strategies for success
Discover our proven methodologies and approaches that drive actionable insights and enable strategic decision-making. Gain valuable knowledge on advanced analytics, statistical modelling, and innovative techniques that empower businesses to achieve pricing excellence.
Understanding brand value involves evaluating both performance and equity, as well as analyzing market perceptions and comparing them to competitors to ensure alignment with your brand's values.
Brand performance & equity
Assessing brand performance, from awareness to advocacy, is vital. We help companies understand their brand's value against competitors and strategize effectively.
Brand value analysis
Brand and price strategy reviews should assess the alignment between brand value and price, often visualized in a value map, to understand current positioning and make informed pricing recommendations.
Conjoint is an elite pricing tool that gauges consumer preferences and product elasticity. Its simulator identifies optimal pricing for maximum profit.
Decision tree analysis
Decision tree analysis is a versatile tool in data analysis and machine learning that graphically models decision-making factors, commonly employed to segment customers based on their likelihood to purchase a product.
This pricing method presents customers with varying price points for a product and asks their willingness to purchase, resulting in a demand curve that identifies optimal pricing for maximizing sales, revenue, and profit.
The MaxDiff methodology in market research quantifies the most influential product features by forcing choices through a trade-off method, providing a more nuanced ranking of importance than direct questioning.
The path to purchase encompasses the entire journey from recognizing a need to using the acquired product, and through market research, we identify key triggers and touchpoints to inform our marketing and commercial strategies.
Segmentation analysis divides a diverse audience into targeted groups for customized marketing strategies, using various analytical methods to ensure actionable insights for business teams.
Transactional data analysis
Prioritizing customer feedback over transactional data aids in accurate predictions. Analyzing data correlations using machine learning refines market strategies, but past data has its limitations.
Customer listening informs pricing and product strategy, while machine learning and AI analysis of online data provide competitive insights on how rivals set their prices.
Explore our success stories and learn how we've successfully helped different businesses. Or get in touch with us to schedule an introductory call.