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choose message explorer
Unique approach for deep behavioral testing
of messages in quantitative research.
uses a series of behavioral experiments to measure the intrinsic appeal of messages.
CME measures the behavior change potential of each message without asking for stated responses.
CME maps the precise emotions evoked by each message.
CME captures the non-conscious appeal of language in messages using heuristics.
Novel behavior rating scale that measures the behavior change potential of messages, individually and relative to each other.
Wheel of Emotions from the Psycho-evolutionary Theory of Emotions.
Gamified short-term memory quiz that identifies language drivers of appeal in messages.
How fast was each message evaluated by the respondent
In what sequence were messages selected
For which messages were the scores changed
Which messages have highest memory errors
CME identifies the specific language in each message that is driving its appeal.
CME captures the emotion associated with that message.
CME uses this intelligence after the research is over to generate alternate versions of every message.
CME uses machine learning algorithms that can confirm that alternate message is better than original.