Bloomberg Second Measure provides transaction data analytics by analyzing billions of anonymized credit card transactions to deliver real-time insights on consumer behavior and company performance. This enables investors to make informed decisions with timely data updates on public and private companies, enhancing their ability to track performance and identify trends.
Funding
$25.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.





JF+1Founders
Product
Problem
Investors and analysts often lack timely, granular data on consumer spending and company performance, hindering their ability to make informed decisions and identify emerging trends. Traditional financial data sources are often lagging indicators, providing an incomplete picture of real-time market dynamics.
Solution
Bloomberg Second Measure provides transaction data analytics derived from billions of anonymized credit card transactions, offering near-real-time insights into consumer behavior and company performance. This alternative data solution enables investors to track the performance of both public and private companies with daily updates, allowing for early identification of key trends and inflections. The data is delivered through the Bloomberg Terminal and bulk data feeds, facilitating seamless integration with existing analytical workflows. By providing a daily view into observed company performance, Bloomberg Second Measure empowers investors to make faster, more data-driven decisions.
Target Audience
The primary users are investors, quants, and research analysts seeking timely, granular data on consumer spending and company performance to enhance their investment research process.
Features
- Daily updates on sales and transaction data for thousands of public and private companies.
- Data analytics derived from billions of anonymized U.S. consumer credit card transactions.
- Data delivery via Bloomberg Terminal (ALTD) and bulk data feeds.
- Near-real-time data availability with a 3-day and 7-day lag from card swipe.
- Ability to track company performance intra-quarter, providing an early read on earnings.
- Identification of inflections and emerging trends through daily data updates.