Agile Decision Tree (AD3)

Improve your point-of-sale strategies and communication with your consumer by ranking the most relevant variables in their purchase decision process. Through our Hierarchy Occasion Construction Algorithm and an actionable visualization, identify the key attributes, occasions and characteristics that are not connecting with your customer across purchase channels.

Build in-store strategies based on shopping missions and occasions. Shape your distribution and promotion strategies around consumer decision priorities. Understand the decision process by profile and create personalized strategies. Negotiate shelf space with retailers. Give your sales representatives tools to gain ground. Identify the differentiating attributes your product needs at the point of sale. Optimize your deployment strategy by sales channel. Compare your product's performance across sales channels.

It includes Product decision tree analysis, Attribute analysis by importance in the decision, Attribute variability analysis, Understanding the purchase, Brand purchase, Relationship with the brand, Consumption habits, Special trees by occasion and Trees by segment.

Atlantia's methodology for this study includes our Hierarchy Occasion Construction Algorithm, which builds occasions from different variables and consumption patterns while identifying and ranking the most relevant variables of the purchase decision process. Through a friendly visualization of the key attributes of your product or service, you can identify patterns or changes in their relevance, giving you better insights for communication, placement and engagement with your consumer.

It is designed for Market research, Consumer Insights, Category management, Product managers, Marketing, Trade marketing and Product development teams.