Deployed on AWS
This dataset is a sample of 1000 US based eCommerce companies that fall under the umbrella of Fashion & Apparel – companies that sell clothing, cosmetics & beauty supplies, accessories, jewelry, shoes, watches, etc. You could get the entire universe of all eCommerce and D2C brands segregated on an extensive list of attributes including product type (physical or digital goods), presence of (or lack of) physical stores, their business model (B2B, B2C, or both), SKU type and more. Just ask us!
Overview
About Us:
PipeCandy is the industry standard data set for actionable insights on eCommerce and D2C brands. Our proprietary data includes 50+ attributes on over 1M+ eCommerce/D2C brands and is ever expanding. As a power-packed combination of machine learning algorithms and meticulous research, our data is the secret weapon in the arsenal of successful demand generation and analytics teams across business verticals.
Note: This dataset is a sample of 1000 US based eCommerce companies that fall under the umbrella of Fashion & Apparel – companies that sell clothing, cosmetics & beauty supplies, accessories, jewelry, shoes, watches, etc. You could get the entire universe of all eCommerce and D2C brands segregated on an extensive list of attributes including product type (physical or digital goods), presence of (or lack of) physical stores, their business model (B2B, B2C, or both), SKU type and more. Just ask us!
Key Data Attributes:
Traffic, Web Sales, Order Volume, Technologies used, Payment & Lending Partnerships, Logistics Partnerships, Conveniences they offer to shoppers (Free shipping, returns, delivery speed etc.), SKU type (Physical Goods vs. Digital Goods), Business Model (B2B vs. B2C), Revenue Model (Subscription vs. One-off), Channel Presence, Brand/Merchandise Strategy, etc.
Data Dimensions:
*Websales - Available as a range for last 12 months *Order volume - Available as a range for last 12 months *Refresh Frequency - Every month
An indicative set of companies included in this sample dataset:
Anthropologie, AMERICAN EAGLE, ASICS, allbirds, Glossier, David’s Bridal, Jimmy Jazz, BHLDN, AMORE PACIFIC, Kay, Zales, Yandy, Armani Exchange, HARRY'S, Aesop, Sally Beauty
Data Access:
You can access PipeCandy data :
Amazon ADX:
This is the most popular way of consuming our data for AWS users. We will share access to all of our data with you via Amazon Data Exchange.
Pricing Options:
Datasets via Amazon ADX: Datasets are priced based on the type of dataset. This dataset is a sample and hence is offered at zero cost. Our typical dataset pricing starts at $25000 per year.
Prospector: Pricing varies from $999 per year to $24,999 per year. For details visit https://pipecandy.com/pricing
Firehose: Pricing starts at $50,000
Sample Data & Getting Started:
Interested in learning more about our data sets? We are happy to set up a call to walk you through everything here as well as put together some relevant sample data for your review.
Details
Categories
Delivery method
Deployed on AWS
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
PipeCandy offers sample data so that you are familiar and comfortable with the dataset. Once datasets are purchased, we do not offer refunds.
Legal
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Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
US Fashion & Apparel Domains | All historical revisions | All future revisions | Not included | Not included |
Resources
Vendor resources
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This dataset is a sample of 1000 US based eCommerce companies that fall under the umbrella of Fashion & Apparel – companies that sell clothing, cosmetics & beauty supplies, accessories, jewelry, shoes, watches, etc. You could get the entire universe of all eCommerce and D2C brands segregated on an extensive list of attributes including product type (physical or digital goods), presence of (or lack of) physical stores, their business model (B2B, B2C, or both), SKU type and more. Just ask us!
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