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MotivationMetrics adds emotional needs scoring to Prosper Model Factory

Jul. 14, 2026
By AI, Created 15:45 UTC, Jul 14, 2026, AGP -

MotivationMetrics and Prosper Insights & Analytics have launched self-service emotional needs scoring inside the Prosper Model Factory, giving marketers a way to upload customer files and return them with motivation profiles. The integration aims to make consumer data more predictive by adding directly measured emotional needs, not just demographics or past behavior.

Why it matters: - Marketers can now score customer files for emotional motivation without custom development or a sales process. - The new workflow is designed to add a “why” layer to consumer data, which can improve audience segmentation, targeting, brand research and predictive modeling. - MotivationMetrics says directly measured emotional needs have predicted consumer behavior two to four times more accurately than demographic and behavioral approaches in peer-reviewed research.

What happened: - MotivationMetrics and Prosper Insights & Analytics announced that motivation intelligence scoring is now available through the Prosper Model Factory, a predictive modeling platform built on Amazon SageMaker. - Users can register on the portal, upload a customer or audience CSV file and receive a scored file back. - The scoring assigns each person to one of ten empirically derived emotional need profiles. - The rollout is available now, with no minimum commitment and no sales engagement required.

The details: - The platform returns assignment to one of the Ten Motivational Need States. - The scored output also includes scores across twelve emotional needs organized by life domain. - The file includes motivational orientation indicators that show whether a person is promotion-focused or prevention-focused. - The result is ready for audience segmentation, message targeting, brand positioning research or further predictive modeling inside the Prosper Model Factory environment. - Numerous AgileBrain classification models have already been built using Prosper’s monthly consumer data. - Prosper’s Media Behaviors & Influence database has also been scored with AgileBrain emotional need classifications. - That combination is intended to link emotional motivation with consumer behavior, media influence, product usage and future-purchase intent. - The AgileBrain framework has been validated across hundreds of thousands of assessments in multiple countries and published in 16 peer-reviewed scientific journals. - MotivationMetrics measures emotional needs through an image-based assessment that is designed to capture motivation before conscious filtering can intervene. - J.D. Pincus, Ph.D., founder of MotivationMetrics and co-author of Why They Buy, said the Prosper integration makes the capability immediately available to any team that wants it.

Between the lines: - The launch reflects a broader shift toward zero-party data and direct measurement, rather than inferred audience traits. - Prosper’s large consumer dataset gives MotivationMetrics a distribution channel into established marketing workflows. - The partnership also gives Prosper users a new way to enrich modeled audiences with psychological signals that may be harder for competitors to replicate.

What's next: - The MotivationMetrics scoring model is available now through the Prosper Model Factory. - Marketers and data teams can start by visiting the Prosper Model Factory. - More information is available at MotivationMetrics’ Prosper announcement. - Why They Buy: The Emotional Needs Your Marketing Ignores by J.D. Pincus and Ken Beller is scheduled for publication in late summer 2026. - More about the book is available at the book page.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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