symbol | segment_name | segment_id | partial_period_flag | period_type | period | period_start_dt | ptd_end_dt | spend_amount | ya_period | ya_period_start_dt | ya_ptd_end_dt | ya_spend_amount | ptd_spend_yoy | trans_count | ya_trans_count | ptd_trans_yoy | avg_tkt | ya_avg_tkt | ptd_avg_tkt_yoy |
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xxxx | xxxxxxxxxxxxxxxx | xxxxx | x | xxx | xxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxxxx | xxxxxxxxxx | xxxxx | x | ||||||||
xxxx | xxxxxxxxxxxxxxxxxxx | xxxxx | x | xxx | xxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxxx | xxxxxx | x | ||||||||
xxx | xxxxxxxxxxxxxxxxxxxxxxxx | xxxxx | x | xxx | xxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxx | x | ||||||||
xxx | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | xxxxx | x | xxx | xxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxxxx | xxxxxxxxxx | xxxxx | x | ||||||||
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xxx | xxxxxxxxxxxxxxxxxxxxxx | xxxxx | x | xxx | xxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxxxx | xxxxxxxxxx | xxxxx | x |
Description
This data sample illustrates how Consumer Edge data can be used by public investors to track quarterly performance, providing quarterly spend for a set of public tickers and private companies. Inquire about a CE subscription to perform more complex, near real-time quantitative analysis on public tickers and private brands like: • Analyze transaction-level data to uncover hidden trends, identify emerging consumer preferences, and be the first to anticipate shifts in market forces • Leverage the largest panel with the most history and unprecedented accuracy to inform buy/sell/hold decisions for enhanced ability to capture alpha 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: Tracking Quarterly Performance Problem Understand growth drivers and age demographics of off-price retailers to predict quarterly performance. Solution Leverage CE Data to monitor off-price retailers traffic growth and age demographics. June 2024: Following another quarter of sales growth, off-price retailers TJX and ROST cited increased traffic and marketability across age demographics as drivers of performance. CE data shows that TJX is growing among the youngest and oldest shoppers, whereas ROST experienced a rise in traffic among the middle-aged cohorts. Off-price retailer TJX Companies, Inc. (TJX) recently reported US Sales Growth of 5.3%, close to CE Implied Reported Growth of 5.0% and below consensus of 5.6%. Off-price retailer Ross Stores, Inc (ROST) reported net sales of 8.1%, in line with CE Implied Reported Growth of 8.1% and above consensus of 7.4%. Clients can utilize CE cohort tools to monitor traffic among different age demographics at off-price retailers such as TJX and ROST. 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 from quant and systematic funds to quantamental and fundamental funds 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
(1 country)Data Categories
- Stock Market Data
- Stock Fundamental Data
- Fund Data
- Investors Data
- Hedge Funds Data
Pricing
One-off purchase |
Not available |
Monthly License |
Not available |
Yearly License |
Available |
Usage-based |
Not available |
Volumes
- Merchants
- 12K
- Million Credit & Debit Cards
- 100
- Years History
- 9
- Parent Companies
- 800
- Same Store Sales Metrics
- 80
- Publicly Traded Tickers
- 600
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