brand_name | country_code | trans_date | trans_count | loc_currency | spend_amount_loc | spend_amount_eur | spend_amount_usd |
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xxxxxxxxxxxx | xx | xxxxxxxx | xxxxxxx | xxx | xxxxxxxx | xxxxxxxx | xxxxxxxx |
xxxxxxxx | xx | xxxxxxxxx | xxxxx | xxx | xxxxxxx | xxxxxxx | xxxxxxx |
xxxx | xx | xxxxxxxx | xxxxx | xxx | xxxxxxxx | xxxxxxxx | xxxxxxxx |
xxxxxxxxxxxx | xx | xxxxxxxx | xxxxxx | xxx | xxxxxxxx | xxxxxxxx | xxxxxxxx |
xxxx | xx | xxxxxxxx | xxxxx | xxx | xxxxxxx | xxxxxxx | xxxxxxx |
xxxxxxxxxxxxxx | xx | xxxxxxxx | xxxxx | xxx | xxxxxxxx | xxxxxxxx | xxxxxxxx |
xxxxxxxxxxxxxxx | xx | xxxxxxxxx | xxxxxx | xxx | xxxxxxxx | xxxxxxxx | xxxxxxxx |
xxxxxxxxxxxxxx | xx | xxxxxxxxx | xxxxx | xxx | xxxxxxx | xxxxxxx | xxxxxx |
xxxxxx | xx | xxxxxxxx | xxxxxx | xxx | xxxxxxx | xxxxxxx | xxxxxxx |
xxxxxxxx | xx | xxxxxxxx | xxxx | xxx | xxxxxx | xxxxxx | xxxxxx |
Description
Global Spend Analysis with Consumer Edge Credit & Debit Card Transaction Data Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Vision EUR is an aggregated transaction feed that includes consumer transaction data on 6.7M+ Europe-domiciled payment accounts, including 5.3M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 4.4K+ brands and 620 symbols including 490 public tickers. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction. Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel This data sample illustrates how Consumer Edge data can be used to understand a company’s growth by country for a specific time period (Ex: What was McDonald’s year-over-year growth by country from 2019-2020?) Inquire about a CE subscription to perform more complex, near real-time global spend analysis functions on public tickers and private brands like: • Analyze year-over-year spend growth for a company for a subindustry by country • Analyze spend growth for a company vs. its competitors by country through most recent time Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs. Use Case: Global Spend Analysis Problem A global retailer wants to understand company performance by geography to identify growth and expansion opportunities. Solution Consumer Edge transaction data can be used to analyze shopper behavior across geographies and track: • Growth trends by country vs. competitors • Brand performance vs. subindustry by country • Opportunities for product and location expansion Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key growth drivers by geography for company-wide reporting • Refine strategy in underperforming geographies, both online and offline • Identify areas for investment and expansion by country • Understand how different cohorts are performing compared to key competitors Corporate researchers and consumer insights teams use CE Vision for: Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence. Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period • Churn • Cross-Shop • Average Ticket Buckets
Country Coverage
(6 countries)Data Categories
- Ecommerce Data
- Online Purchase Data
- Online Shopping Data
- Retail Data
- Sales Data
Pricing
One-off purchase |
Not available |
Monthly License |
Not available |
Yearly License |
Available |
Usage-based |
Not available |
Volumes
- Merchants
- 5K
- Years History
- 9
- Accounts
- 6.7M
- Brands Mapped to Global Parent Companies
- 3K
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