Machine learning algorithms are used to analyze the effectiveness of messages from all brands in the category
Memory science is used to create survey techniques that capture TRUE message recall
Behavioral science is used to optimize and improve messaging
% of brand messages in tiers 1/2/3 based on heuristic persuasion
% of brand messages using a dominant decision heuristic
% of dominant decision heuristics addressed by brand
Brand overdependence on few heuristics based on 80/20 type rule
Messages for your brand are scored vs. competitors
Messages for every brand are benchmarked against a best-in-class messaging database
Messages for every brand are evaluated against category decision drivers
Go into research with better hypotheses about messaging
Add custom questions to the research to get deep insights
Choose the best messages to study in the research
Create new messages to address heuristic gaps
Rewrite messages that scored low on persuasion
Rewrite messages to achieve better heuristic balance.
Leverage respondent’s memory palace by using mind mapping type techniques in the survey
Use gamified test/quiz exercises to get past stated memory recall questions
Use brand association-based cues to tap into dormant message memory
How likely are customers to confuse your messages with other brands?
How readily are your brand’s messages available in your customers’ mind?
How many different types of messages from your brand can customers recall?
How much detail from your messages can customers recall?
What are the memories associated with your messages in customers’ mind?
First and only message recall solution that combines behavioral science and artificial intelligence