Particl

4.9(3)Badge iconVerified Data Provider
Contact Provider

Optimized for quick response

$1,204,228
sales_revenue
883
units_sold
$63
price
883
inventory
On This Page:
  • Overview
  • Datasets
  • Data Pricing
  • Data Reviews
  • Competitors
  • Learn More
  • Overview
  • Datasets
  • Data Pricing
  • Data Reviews
  • Competitors
  • Learn More

Particl Data Products: APIs & Datasets

Explore Particl’s datasets, databases, and data feeds.

Particl Pricing & Cost

Learn about Particl’s prices, subscription cost, and API pricing.

Particl offers multiple pricing options subscriptions, quarterly and annual updates, and one-time purchases.

Particl’s APIs and datasets range in cost from $10,000 / purchase to $50,000 / year. Particl offers free samples for individual data requirements. Get talking to a member of the Particl team to receive custom pricing options, information about data subscription fees, and quotes for Particl’s data offering tailored to your use case.

Particl Reviews

Read authentic reviews about Particl from your peers.
4.9 (3 reviews)
V
Verified Buyer
Taxbot
5.0
Data Quality
Data Volume
Value for Money
Customer Service
“Loved this data! Worth it's weight in gold! I was able to get insight on my competitors that was super insightful. I have some new product ideas and a better idea on what my competitors are doing. Would highly recommend. ”
V
Verified Buyer
Peejamas
4.8
Data Quality
Data Volume
Value for Money
Customer Service
“We used Luz to monitor competitor's sales data by SKU and category to help us prove our planned product roadmap. The data was extremely helpful, but still finding ways to make it more consistently actionable.”
V
Verified Buyer
Alta Cycling Group
4.8
Data Quality
Data Volume
Value for Money
Customer Service
“We are using Luz to complete our view of the market by adding DTC brands that we otherwise would not have a view of. Only with LUZ can we quantify this large portion of our market and best identify opportunities for sales and future development. The LUZ team is very responsive to our questions and requests. They quickly adapted the data view to provide the specific types of information we were looking for. LUZ provides a LOT of data, which is extremely helpful. To date, we have not had a way to validate these data, so that is the only reason I did not give five stars for Data Quality. ”

Your Review

There are still only a few reviews and ratings for Particl at the moment. Have you worked with Particl? You can help other data professionals better understand Particl’s data products and services by leaving a review now.

Data Quality
Data Volume
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Particl Competitors & Alternatives

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About Particl

Learn more about Particl’s data sources, use cases, and integrations.

Particl in a Nutshell

Particl was founded in Salt Lake City, Utah. Particl is a data-as-a-service company that specializes in collecting eCommerce sales data. Our #1 priority is data quality and accuracy.

Headquarters
USA

Country Coverage

Europe (1)
United Kingdom
North America (2)
Canada
United States of America
Oceania (1)
Australia

Data Offering

Particl tracks product sales volume on over 200 million SKUs every day to give you the most accurate sales information available.

Use Cases

Particl offers multiple products that can assist a variety of use cases.

For Product teams, Particl helps identify white space in their product assortment so they can capitalize on it and develop market proven products to their catalog.

For executives, Particl offers general strategy help as you better understand market trends, winning products, and pricing information.

For retail, consulting, and others, Particl offers product sales volume information to make ensure all decisions are data backed.

Data Sources & Collection

Particl specializes in the collecting and processing of unstructured eCommerce website data, providing your teams with accurate, clean, and precise data.

Particl offers platform access to the data.

Key Differentiators

Particl takes a micro to macro approach to eCommerce data. Instead of making assumptions, Particl uses live inventory data points to give insights into what’s selling best.

Data Privacy

Particl does not collect any personally identifiable data.

Integrations

Logo of AWS Data Exchange integration

What are you looking for?

David
from Particl is ready to assist you

Frequently asked questions about Particl

What does Particl do?

Particl collects sales information from over 70,000 unique sites across 200 million products. Some of the industries include: Apparel & Fashion Jewelry Beauty & Cosmetics Footwear

How much does Particl cost?

Particl’s APIs and datasets range in cost from $10,000 / purchase to $50,000 / year. Particl offers free samples for individual data requirements. Get talking to a member of the Particl team to receive custom pricing options, information about data subscription fees, and quotes for Particl’s data offering tailored to your use case.

What kind of data does Particl have?

Ecommerce Data, Private Company Data, Ecommerce Product Data, Ecommerce Market Data, and Fashion & Apparel Data

What data does Particl offer?

Particl tracks product sales volume on over 200 million SKUs every day to give you the most accurate sales information available.

How does Particl collect data?

Particl specializes in the collecting and processing of unstructured eCommerce website data, providing your teams with accurate, clean, and precise data. Particl offers platform access to the data.

What’s Particl’s data privacy policy?

Particl does not collect any personally identifiable data.

What are the best use cases for Particl’s data?

Particl offers multiple products that can assist a variety of use cases. For Product teams, Particl helps identify white space in their product assortment so they can capitalize on it and develop market proven products to their catalog. For executives, Particl offers general strategy help as you better understand market trends, winning products, and pricing information. For retail, consulting, and others, Particl offers product sales volume information to make ensure all decisions are data backed.

What platforms is Particl integrated with?

AWS Data Exchange