Market Research | Agile Decision Tree

Agile Decision Tree (AD3)

Cart

Detailed

Improve your point of sale strategies and communication with your consumer through the hierarchy of the most relevant variables in their purchase decision process.

Through our Occasion Construction Hierarchy Algorithm and an actionable visualization, identify the key attributes, occasions and characteristics that are not connecting with your customer in the purchase channels.

See One page

If you want to be informed

Click here and
know our blog

Improve your point of sale strategies and communication with your consumer through the hierarchy of the most relevant variables in their purchase decision process.

Example See One page

Product Information

What includes? Methodology

Product decision tree analysis

Decision trees by occasions
Decision trees per channel

Attribute analysis by importance in decision

Category key attribute
Differential attributes
Secondary attributes
Attribute Classification Quadrant

Attribute variability analysis

Stable attributes
Low variability attributes
High variability attributes

atlantia search, market research, market research, attribute classification quadrant

atlantia search, market research, market research, attribute variability analysis

Understanding the purchase

Activities before purchase
Behavior during purchase
Relevant characteristics of the purchase
Purchased Presentations
Purchase price range
Purchase influencers
Places of purchase

Brand purchase

Customer brand / product purchase drivers
Spontaneous and aided purchase limitations
Brand purchase frequency
Purchase intensity

Purchase overview

Category consumption incidence
TOM and SOM of the category
Consumed brands
Most preferred brand

atlantia search, market research, moments of consumption

Consumption habits

Products with which they accompany consumption
Consumption frequency
Moments of consumption
Consumption decision maker
Final consumer

special occasion trees

Decision tree of everyday occasions
Decision tree of occasions outside the routine
Decision tree for extraordinary occasions (if applicable)
Decision tree by specific moment

Relationship with the brand

Heavy consumer decision tree
Medium consumer decision tree
Light consumer decision tree

The Atlantia Search methodology for this study includes our Hierarchy Occasion Construction Algorithm with which it is possible to build occasions from different variables and consumption patterns, as well as 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 relevance, which will allow you to have better communication, placement and engagement insights with your consumer.