Charm.io - 4+ million DTC brands tracked online & on TikTok Shop
Verified Data Provider| # | Brand Name |
Technographics |
Charm Growth Score™ |
Ad Count |
Store Platform |
|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx |
| 2 | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx |
| 3 | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx |
| 4 | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
| 5 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx |
| 6 | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
| 7 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx |
| 8 | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
| 9 | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx |
| 10 | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx |
| ... | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
Brand Name
|
Text | Nike | |
|
Technographics
|
Text | Klaviyo | |
|
Charm Growth Score™
|
Decimal | 92.8 | |
|
Ad Count
|
Integer | 86 | |
|
Store Platform
|
Text | Shopify |
Description
Country Coverage
Volume
| 4 million | Brands |
| 160 | Metrics tracked |
| 100 million | TikTok Shop Products |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is Charm.io - 4+ million DTC brands tracked online & on TikTok Shop?
Charm.io is the world’s most comprehensive dataset on ecommerce brands, tracking 160+ critical performance metrics for every direct-to-consumer brand online and on TikTok Shop.
What is Charm.io - 4+ million DTC brands tracked online & on TikTok Shop used for?
This product has 5 key use cases. Charm.io recommends using the data for Lead Generation, Lead Prioritization, Customer Acquisition, Retail Analytics, and Sales Prospecting. Global businesses and organizations buy Ecommerce Data from Charm.io to fuel their analytics and enrichment.
Who can use Charm.io - 4+ million DTC brands tracked online & on TikTok Shop?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Ecommerce Data. Get in touch with Charm.io to see what their data can do for your business and find out which integrations they provide.
Which countries does Charm.io - 4+ million DTC brands tracked online & on TikTok Shop cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Charm.io is headquartered in United States of America.
How much does Charm.io - 4+ million DTC brands tracked online & on TikTok Shop cost?
Pricing information for Charm.io - 4+ million DTC brands tracked online & on TikTok Shop is available by getting in contact with Charm.io. Connect with Charm.io to get a quote and arrange custom pricing models based on your data requirements.
How can I get Charm.io - 4+ million DTC brands tracked online & on TikTok Shop?
Businesses can buy Ecommerce Data from Charm.io and get the data via S3 Bucket and UI Export. Depending on your data requirements and subscription budget, Charm.io can deliver this product in .xls format.
What is the data quality of Charm.io - 4+ million DTC brands tracked online & on TikTok Shop?
Charm.io has reported that this product has the following quality and accuracy assurances: 50% Reduction in research time reported by clients. You can compare and assess the data quality of Charm.io using Datarade’s data marketplace.
What are similar products to Charm.io - 4+ million DTC brands tracked online & on TikTok Shop?
This product has 3 related products. These alternatives include Grepsr Nordstrom Store Address, Contact Information, Rating Global Coverage with Custom and On-demand Datasets, Ecommerce Data Store Location Data Global Coverage 60M+ Contacts (Verified E-mail, Direct Dails) Decision Makers Contacts 20+ Attributes , and Forager.ai - Shopify Data - eCommerce Company Data 320K Stores API & Dataset Bi-weekly Updates eCommerce Company Data Technographic Data. You can compare the best Ecommerce Data providers and products via Datarade’s data marketplace and get the right data for your use case.
