Personalize every touchpoint based on what actually drives buying decisions
๐ Top award ยท Innojam 2026 company hackathon
A back-end product feature, shown here inside a mock marketing platform. The engine reads how a customer talks about their business and classifies their motivation using Regulatory Focus Theory โ promotion (growth, gains, winning) or prevention (safety, reliability, avoiding loss) โ along with their customer type. It then serves tailored messaging cues to every team that touches the customer.
1 ยท Share a messageDescribe what you want to market, or pick a sample business below.
2 ยท AI classifies itMotivation, customer type, confidence and the signal words behind it.
3 ยท Act on itCues for product, sales, customer success, support and retention.
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In-Product Customer Prompt
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Gong API Call Analysis
Retired ยท click for details
How can we help you accelerate your business today?
Try a sample business, or write your own request:
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From Insight to Value
Customized motivation cues across the customer experience
Concept demo built by Dr. Steve Winkel ยท Strength in Talent. Messages you enter are analyzed live by AI and are not stored.
๐ Gong API Call Analysis โ retired
This back-end function was designed to make live API calls to real customer conversations stored in Gong. Using the same methodology as the text prompt, it analyzed the customer's side of each call to identify purchase behaviors and mindset, then tagged them for commercialization efforts across the value stream โ marketing, sales, customer success, support and retention.
Those recordings are confidential, so the Gong integration is no longer in place for this demo. The In-Product Customer Prompt runs the same analysis on any text you provide.