Predict revenue surprises, track market share, and compare performance metrics for thousands of companies based on the anonymized aggregate credit and debit data of millions of US accounts.
Vela data is sourced from a variety of US financial institutions with broad geographic and demographic representation, combined to create one of the most comprehensive and accurate views of the consumer economy.
USES
-Age
-Customer lifetime value
-Earnings predictions
-Income
-Macroeconomic trends
-Market share
-Performance benchmarking
-Share of wallet
-Subscription Trends
SAMPLE TABLES AND FIELDS (Not comprehensive)
-machine_data_daily: time period, ticker, credit amount and transaction count, debit amount and transaction amount, subscriber gross adds, subscriber churn, subscriber count, subscriber sales
-performance_data: ticker, method, quarter, days into quarter, reported metric, consensus estimate, probability to beat
-ticker_to_merchant_mapping_mdde: ticker, parent merchant, merchant
-customer_metrics: parent merchant, merchant, channel, geography, time period, transactions, sales, unique shoppers
-merchant_demographics_age: parent merchant, merchant, category, subcategory, age group, time period, sales, transactions
-earnest_opinions: opinion, direction, opinion issued date, ticker, quarter, consensus estimate, earnings report date