Easy Shapley Regression for Driver Analysis. Free.
The easiest-to-use Shapley Value Calculator
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Simple drag & drop
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No code
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Accurate
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Google Firebase security
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Download the Excel template here
Fast
Results in seconds.
Without coding and complex set up.
1) Transfer your data into our Excel Template
2) Drag & Drop the file in the Analyser
3) Get instant results and save them.
Importantly, the R2, which tells you how valid your model is is shown with every calculation (Explanatory power of all variables for your target variable)
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No more complex set ups. Easy DIY.
Results in seconds instead of weeks.
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FREE
One target variable
Up to 10 factors
Up to 500 rows
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Want it even easier or need more? Ask us about using our Shapley calculator directly from Qualitrics and SurveyMonkey.
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Marketing & CX
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Identify what drives NPS, loyalty, consideration or satisfaction
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Quantify the impact of your brand values and attributes like ease, service, or price
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Prioritise actions based on driver strength
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Optimise messaging, targeting, and product-market fit
Sociology & Psychology:
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Decompose drivers of attitudes or behaviours
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Explain wellbeing, bias, trust, or social response
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Use Shapley with regression or ML models
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Rank explanatory power of factors in surveys or studies
Engineering
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Root Cause Analysis
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Design Optimisation
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Model Interpretability
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Resource Allocation
Population & Policy
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Identify key drivers in public opinion or behaviour
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Break down influence of socio-economic or trust factors
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Support targeted interventions and program design
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Explain logistic or predictive model outputs simply
Superior
Why Shapley Regression Excels Across Human-Centred Analysis
Lloyd Shapley was the co-winner of the 2012 Nobel Prize. He found that when human factors like trust, satisfaction, risk perception or usability overlap, traditional regression often fails to explain which one truly drives outcomes. Shapley regression solves this by fairly attributing influence—even when variables are interrelated—making it ideal for unpacking complex behaviours and decisions.
Whether you're measuring customer loyalty, public reputation, or system usability, Shapley provides clear, interpretable driver analysis you can act on with confidence.
Who Uses It – And How
🔶 Marketing (e.g. GfK, Kantart, Engie, AXA)
Used to pinpoint what drives NPS, brand equity, or campaign ROI—even when factors like trust, price, and service overlap.
🔷 Policy & Economics (Bank of England)
Explains which social or economic variables most impact behaviours—used for interpretable machine learning in economic modelling.
🔶 Engineering & UX (Stanford University, BBVA AI Factory)
Helps engineers and product teams understand what design or performance factors most impact user outcomes or system quality.
🔷 Social Research (King’s College London)
Used to explain attitudes, wellbeing, and behavioural outcomes—especially when studying overlapping human perceptions.