Overview
Consumer Current by Cybersyn offers a comprehensive view of US consumer spending, providing detailed geographic insights ranging from national to individual points of interest. The product enables businesses to derive actionable insights across 25,000 companies by leveraging anonymized transactions from millions of credit and debit cards. Whether tracking sales trends, analyzing consumer behavior, or benchmarking against competitors, this data empowers businesses to make informed, data-driven decisions
Core Product Components
Dashboard: The Consumer Current dashboard provides a user-friendly interface to explore consumer spending data across various geographic levels, including national, state, CBSA, ZIP code, and individual Points of Interest (POIs). With powerful filtering and visualization tools, the dashboard allows businesses to track trends, analyze consumer behavior, and benchmark against competitors with ease. It's an ideal solution for teams looking for actionable insights without needing technical expertise. Learn More about the dashboard.
Data Feed: For advanced users who require greater flexibility, Consumer Current provides a data feed that allows for deeper, custom analysis. The data feed delivers detailed consumer spend insights for 25,000 merchants, empowering businesses to conduct independent investigations into consumer behavior, spending patterns, and performance benchmarks. It can be seamlessly integrated into internal systems or applications to enhance business intelligence and forecasting. Learn More about the data feed.
User-Defined Functions (UDFs): UDFs are available in the Consumer Current Plus and Pro tiers, enabling custom analysis of underlying user and transaction-level data. This framework allows businesses to explore specific questions related to consumer segments, shifts in behavior over time, and market opportunities. UDFs offer the flexibility for in-depth analysis without the need for a dedicated data science team. Learn More about UDFs.
Key Information
| Geographic Coverage | United States |
| Release Frequency | Weekly on Wednesdays (data through the previous Monday) |
| Data History | 2019 → Present |
| Number of Merchants | ~25,000 |
| Number of Merchants with Location Level Data | ~8,000 |
| Number of Locations | ~450,000 |
Data Attributes
The table below outlines the available data attributes for querying, detailing the measures and segmentations that can be applied to customize and filter the data for more specific insights.
| Attribute | Details |
|---|---|
| Supported Measures | Sales, Transactions, AOV (Average Order Value), Number of Customers, Retention |
| Frequencies | Weekly, Monthly, 4-5-4 Retail Months, Quarterly |
| Industry Aggregations | • MARTS (Advanced Monthly Retail Trade Survey) • NAICS (North American Industry Classification System) • MCC (Merchant Category Code) |
| Additional Segmentations | • Age: Segments consumers by age group • Income: Provides insights by consumer income level • Channel: Breakdowns by online versus offline spending behavior |
Geographic Granularities
Breakdowns are available based on both consumer location (as granular as individual zipcodes) and merchant location (as granular as specific store locations).
| Granularity | Description |
|---|---|
| National | Comprehensive view of the entire U.S. market |
| State | Focus on consumer and merchant activity within individual states |
| CBSA | Core-Based Statistical Areas (Metro Areas) |
| Zipcode | Detailed insights at the neighborhood level |
| POI | Specific estimates for individual stores or points of interest |
Use Cases:
Customer Insights and Behavior
- Track loyalty over time: Understand how your customer loyalty evolves compared to competitors by analyzing spending patterns, retention rates, and switching behaviors.
- Identify share of wallet: How much are customers spending on you relative to rivals.
- Build lookalike audiences: Based on your existing customers, identify where there’s greenspace for growth.
- Identify complementary services and retailers: Measure consumer affinity and where else your customers are spending money for potential partner channels.
Market and Competitor Analysis
- Benchmark and track ecommerce and retail competitors: See how digital spending behaviors have changed the competitive landscape.
- Hyperlocal omnichannel benchmarking: See how your competitors across the street and online perform relative to your stores.
Growth and Expansion Opportunities
- Site selection: Determine where to open your new store or restaurant with individual location sales data.
- Spot new innovation and acquisition opportunities: See the fastest-growing brands with a full view into digital and physical retail.
Trends and Price Monitoring
- Monitor price trends: Compare AOV trends over time across merchants in different geos to estimate pricing trends.