The purpose of [LikeFolio](https://likefolio.com) Consumer Purchase Intent & Sentiment data is to give equity investors and corporate stakeholders critical insights into consumer spending behavior and happiness on Main Street *before* they become news on Wall Street or issues in the boardroom.
This product contains four data sets for each of the following publicly-traded Dine-In Restaurant companies:
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BJRI
BLMN
CAKE
CBRL
CHUY
DENN
DRI
EAT
RUTH
TXRH
PLAY
— Data for Buffalo Wild Wings and Chuck E Cheese also provided —
“`
Purchase Intent Data is generated when a social media user tweets about a brand or product in a manner that indicates the user has very recently, is currently, or is definitely planning to do business with the company. For AAPL this might be “got a new iPhone”, for YUM it might be “drive thru at taco bell is”, for SFIX it might be “got my first stichfix”.
Positive Consumer Sentiment Data is generated when a social media user tweets something positive about a brand or product owned by the covered company.
Negative Consumer Sentiment Data is generated when a social media user tweets something negative about a brand or product owned by the covered company
Mention Count Data is generated when a social media user tweets about any brand or product (including common slang and misspellings).
All Data from Jan 1, 2012 through yesterday, updating daily, is provided in this data set.
Purchase Intent Data and both Sentiment Data sets are subsets of total mention count data.
Data in this product has been anonymized and/or aggregated.
Our [data schema is available in this document.](https://hubs.ly/H0j8PTx0)
LikeFolio’s 2019 data performance white paper gives examples of how this data may be used to effectively predict future stock price movement, especially leading into quarterly earnings reports.
A [study by Georgetown University](https://onlinelibrary.wiley.com/doi/abs/10.1111/1475-679X.12183), based purely on LikeFolio Purchase Intent data, concluded that it is “predictive of upcoming sales, and the unexpected component of sales growth at the firm level.“
[Click here to download LikeFolio’s data due diligence questionnaire](https://hubs.ly/H0j8PCN0)
Quantitative Funds use THIS data set to identify shifts in consumer spending behavior around brands owned by publicly traded companies. Most quant funds use this trial data to confirm that they will be able to extract alpha from the data that is not correlated to their existing data inputs.
Financial Platforms use our data to provide their users/clients with unique, alternative insights into consumer behaviors via integrations into their digital platforms (screeners, chart solutions, etc)
Marketing Professionals use our BRAND BREAKDOWN DATA SET to track the effectiveness of marketing campaigns, product rollouts, and competitor offerings. Pls inquire for brand-level data.
[Contact Us](https://home.likefolio.com/contact/)
Custom data slices available upon request
This data set contains mobile network coverage for all major operator networks for Germany in a high resolution format as measured by umlaut’s worldwide panel of smartphone users.
This listing consists of a high resolution ortho-mosaic of Seattle, Washington, produced by Geomni, Inc., a Verisk Analytics business.
A constantly updated directory of cancelled, postponed and rescheduled business & government events due to Covid-19.
| Heapery Attribution License | Heapery-Private |
| Category | Business & Industry |
| Data Schema | |
| Support Contact Email Address | support@heapery.com |
| Data Format | |
| Version number | |
| Language | English |
| Data Size | |
| Last Updated Date | 8/11/2020 |
| Refund Policy | Refunds not allowed |
