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Location Intelligence - Sales Intel Mid Market Restaurant Sample

Provided By: Yelp

Location Intelligence - Sales Intel Mid Market Restaurant Sample

Provided By: Yelp

This trial data set contains a sample of more than 400 restaurants that belong to 5 mid market restaurant companies including Capriotti, Popchew, Stars Drive-In, Guthrie's and Lions Choice. Typically sales team can get benefits from such parent hierarchy data to increase lead assignment efficiency.

Product offers

The following offers are available for this product. Choose an offer to view the pricing and access duration options for the offer. Select an offer and continue to subscribe. Your subscription begins on the date that your request is approved by the provider. Additional taxes or fees might apply.

Public offer

Payment schedule: Upfront payment | Offer auto-renewal: Not supported
$0 for 3 months

Overview

Leverage Yelp’s First-Party Data to generate business intelligence. This is a free trial data set, if you want to access more data, please contact AWSDataLicensing@yelp.com.

This trial data set contains a sample of more than 400 restaurants that belong to 5 mid market restaurant companies including Capriotti, Popchew, Stars Drive-In, Guthrie's and Lions Choice. Typically sales team can get benefits from such parent hierarchy data to increase lead assignment efficiency.


Yelp data is…

  • Trusted - 73M+ monthly unique visitors* conduct 7B+ annual searches on Yelp** and rely on Yelp to make purchase decisions.
  • Up to Date - 250K+ business updates every 24 hours and 11M+ monthly location updates in the U.S. and Canada.++
  • Comprehensive - 265M cumulative reviews across 12,000 categories.+

Use Cases

Sales Intelligence

  • Discover New Customers: Contact newly opened and opening soon businesses across categories & geos
  • Build the Ideal Customer Profile (ICP): Understand operating behavior, including product & services offered at customer locations
  • Identify Healthy Businesses: Use page views & consumer traffic metrics as signals for high producing locations
  • Enrich CRM Data: Use Yelp as the source of truth for business details and keep data parity across internal systems

Market Intelligence

  • Compare Performance of Client vs. Comp Set: Ingest data on full categories and geographies to benchmark performance
  • Understand Throughput: Yelp’s proprietary popularity score, rooted in consumer page views, translates to foot traffic
  • Inform Site Selection: Understand where brands are opening /closing and which services are offered in each location
  • Develop Actionable Insights: e.g., Restaurants offering curbside pick-up & delivery generate 2x revenue than those that do not.

Risk Assessment

  • Inform AI & ML-based Underwriting: Integrate Yelp data into underwriting models to determine credit and policy risk of SMBs
  • Predict Cash Flow: Yelp’s proprietary engagement metrics are proven proxies for SMB revenue; popularity score in development
  • Understand Overall Health of a Business: Leverage Yelp’s dataset to assess a business’s ability to stay in business long term
  • Expedite Form & Application Processing: Use firmographic data from 11m POIs to pre-populate business details on prospects

Social Analytics

  • Respond to Reviews: Social listening partners offer scalable ways for brands to respond to reviews via API
  • Perform Sentiment Analysis: Understand what consumers are saying by ingesting a location’s most recent 200 Yelp reviews
  • Analyze Historical Performance: Star rating and consumer engagement trends; roll-up views of performance across regions
  • Push Data to Yelp: Pair a Yelp Knowledge license with a Listing Management integration and push content changes to Yelp

Additional Information

  • If you want to find out more about Yelp Knowledge offering, go to our website 

About Your Company

Yelp’s mission is to connect people with great businesses website 

Provided By
Fulfillment Method
AWS Data Exchange

Data sets (1)

You will receive access to the following data sets

Revision access rules
Last 1 revision | All future revisions
Name
Type
Data dictionary
AWS Region
Entity Data Sample
Not included
US West (Oregon)

Usage information

By subscribing to this product, you agree that your use of this product is subject to the provider's offer terms including pricing information and Data Subscription Agreement . Your use of AWS services remains subject to the AWS Customer Agreement  or other agreement with AWS governing your use of such services.

Support information

Support contact email address
Refund policy
Not applicable - product available free of charge.
General AWS Data Exchange support