Build more meaningful connections with your visitors, members, and donors.
Harnessing the power of predictive intelligence, we’ve uncovered patterns about visitors, members, and donors that were previously hidden. Armed with these insights, we can now predict (and influence) future behavior with remarkable accuracy.
Work With Us
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Predictive Motivations® for Audience Development
We help museums and cultural organizations move from intuition to insight by uncovering the why behind the decision to visit, join, and donate. Leveraging the science of emotional connection we deliver invaluable clarity on the true motivations, behaviors, and aspirations of visitors, donors, and members that drive audience engagement and loyalty.
Our evidence-based predictive models reveal the precise emotional drivers proven to influence behavior and accelerate growth.
Solutions include:
- Emotional Connection Score
- Messaging Assessment
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Insights & Strategic Planning
Understand your current and potential audiences to inform decision-making and align your vision and goals with actionable, data-informed strategies.
Solutions include:
- Market and Audience Research
- Pricing and Revenue Strategy
- Persona Development
- Grand Opening and Re-opening Audience Development Strategy
- Audience Surveys and In-Depth Interviews
- Customer Journey Mapping
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Membership Consulting and Training
Tailored assessments and workshops designed to fit your unique needs.
Solutions include:
- On-site Sales Training
- Membership Program Audit
- Membership Program Design
- Cost-benefit Analysis
- Benchmarking
- Interim and Fractional Membership Management
We’ve Cracked the Code on Emotional Connection.
When museums and cultural organizations connect to their audiences’ motivations, the results are powerful: increased visitation, healthier membership programs, and stronger donor relationships.
Let us help you uncover the precise motivations that predict repeat visitation, membership enrollment and renewal, increased donations, and long-term loyalty.
How It Works
Quantify. We quantify the attitudes, perceptions, and behaviors of current and potential audiences.
Apply Big Data and Advanced Modeling. Our methodology leverages proprietary algorithms that consider billions of data points and combinations of motivations (both rational and emotional) to identify the precise set of motivations with the highest predictive power (highest probability) to drive specific audience behaviors such as visiting, joining, renewing, and donating.
Make It Actionable. We bring the findings to life through thoughtful and practical strategies and tactics, designed to help you build emotional connection with your visitors, members, and donors.
Our Methodology
Our unique research approach determines which emotional motivators are most powerfully associated with audience behavior and customer value and the degree to which connecting to those motivators influences behavior, both in absolute terms and relative to more commonly measured drivers of behavior.
Designed to be representative of the United States population in terms of demographics, our Predictive Motivations® provide arts and cultural organizations with high confidence insights that deliver not just statistically significant results but actionable strategies to attain sustainable growth.
Data reliability has been validated in multiple ways. First, more than two million surveys have been conducted and behavioral data has been appended extensively, including CRM and aggregated behavioral data. Modeled relationships among motivations and behaviors have been validated across large sample sizes, over periods of contiguous years, across 30+ industries and 500+ distinct brands. Second, Predictive Motivations have been activated upon extensively by numerous blue chip companies through the implementation of strategies and tactics informed by the research such as advertising, integrated marketing, and customer experience innovation. Measured by a lift in predicted behaviors and associated revenues, results have been consistent and significant, including evidence that emotionally connected customers are 52% more valuable, on average, than those who are merely highly satisfied.
Our research utilizes a mixed methods approach that incorporates quantitative and qualitative techniques such as lexical analysis, ethnography, surveys, in-depth interviews, behavioral analysis, statistical modeling, big data aggregation, and predictive analytics. In addition, large sample sizes mitigate error rates and empirical models are used to identify unusual variance in results (such as due to biased respondents). Importantly, our experience in matching reported intentions to actual behaviors has refuted the risk of unreliable data and models.