M Science’s SWIPE provides concise, actionable information and insights from credit and debit transaction data by building rigorous pipelines around merchant identification, quality-checking, identifying the most representative data through company-specific machine-learning models, and providing clear, verifiable data for our clients. Metrics are provided on a daily, weekly, monthly and quarterly basis, with content updated daily.










M SCIENCE INDEX
Our advanced revenue estimator that systematically forecasts point-in-time quarterly revenue from machine-learned spending metrics.

M Science’s SWIPE provides concise, actionable information and insights from credit and debit transaction data by building rigorous pipelines around merchant identification, quality-checking, identifying the most representative data through company-specific machine-learning models, and providing clear, verifiable data for our clients. Metrics are provided on a daily, weekly, monthly and quarterly basis, with content updated daily.










SPENDING INDEX

Normalized representation of consumer spending at a merchant or company

UNIQUE SHOPPER INDEX

Normalized representation of unique consumers at a merchant or company

TRANSACTIONS PER SHOPPER

Number of transactions made by consumers at the merchant or company

AVERAGE TICKET

Average spend per transaction

SWIPE is an all-encompassing ecosystem around transaction data, providing clients with multiple viewpoints. Our machine learning models provide the ability to present spending behavior, forecast future trends, provide real time predictive modelling of company specific KPIs and present detailed cohort analytics, all the while continuously learning from past market events and changes in data composition. Its purpose is to aid the investment professional in making quick, concise yet thoroughly vetted decisions.