The purpose of LikeFolio  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.

Coverage

This product contains four data sets for each of the following publicly-traded companies:

ADDYY
BBRYF
CROX
GOOS
GIII
HBI
MONC.MI
NKE
OXM
PMMAF
PPRUY
RL
SKX
TPR
UAA
RVLV
DBI
LULU
COST

-- Data for non-public company KATE and KORS is also provided

Data Descriptions

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).

Historical Data from Jan 1, 2012 through yesterday is contained in this data set. Updates daily.

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.

Schema

Our data schema is available in this document. 

Proof

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 , 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."

DDQ

Click here to download LikeFolio's data due diligence questionnaire 

Use Cases

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

Contact Us 

Custom Data Slices available upon request