
Overview
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.
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. Updated 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
Coverage
This product contains four data sets for each of the following publicly-traded companies:
Private Companies: GLOSSIER_P VPX_P IMPOSSIBLE_P BUMBLE_P CEC_P Public Companies: AAL AAP AAPL ADAUSD ADBE ADDYY ADP ADSK AEO AFL ALGT ALK ALL ALLY AMTD AMZN AN ANF ANGI ANTM APRN ARLO ASNA ATZ.TO AXP AZO BABA BAC BBBY BBRYF BBW BBY BF.B BGS BIG BJRI BKNG BLMN BMWYY BOOT BREW BTCUSD BUD BURL BYND C CAJ CAKE CAR CASY CBRL CCL CGC CHD CHDN CHH CHUY CHWY CL CLX CMG COST CPB CRM CROX CTXS CUERVO.MX CURLF CVNA CVS CVX DAL DBI DBX DDAIF DDS DE DENN DFS DG DISH DLTR DNKN DPZ DRI EAT EBAY EFX EL ELY EOSUSD ETFC ETH ETHUSD ETSY EXPE EXPR F FB FCAU FDX FIT FITB FIZZ FL FRAN FRGI FRHHF FTR GDDY GES GIII GIS GM GNC GOOGL GOOS GPC GPRO GPS GRMN GRPN GRUB GSAT GTBIF H HA HAIN HAS HBC.TO HBI HD HEAR HELE HENOY HLT HMC HOG HOME HRB HTZ HULU_B HYMTF IBM IHG INTC INTU IRBT JACK JBLU JBSS JWN K KHC KIMTF KMB KMX KO KODK KR KSS LB LE LOGI LOVE LOW LULU LUV LYFT M MAR MAT MCD MDLZ MED MGI MIK MKC MNST MO MONC.MI MPC MSFT NEWR NFLX NINOY NKE NSRGF NTGR NVDA NWL OLLI ORLY OXM PANDY PEP PETS PG PGR PII PINS PIR PLAY PLCE PLNT PMMAF PPRUY PSX PYPL PZZA QSR RAD RCL REV RH RL RLH ROKU ROST ROVIO.HE RUTH RVLV S SATS SAVE SBUX SCHW SCVL SEPHORA_B SFIX SFM SHAK SHW SIG SIRI SJM SKX SKYW SMRT SNA SNAP SONO SPOT SQ STAY STZ SWK TAP TCX TGT TIF TJX TLRD TLRY TLYS TM TOY.TO TPR TPX TRIP TRUP TRVG TSLA TTWO TUES TWNK TXRH TZOO UAA UAL UBER UHAL UI ULTA UPS URBN USB USM V VG VLKAY VRSN VZ W WBA WDFC WEN WH WHR WING WIX WU WW WWE XRX YETI YUM ZENUSD ZM "Dead" Public Companies: AET BEL BETR BKS BOJA FRSH FTD HOT JMBA KATE KORS LNKD LQ NTRI P PF PLKI RAI RHT SFS SPLS UBNT VA WFM WYN ZOESCustom Data Slices available upon request
Details
Introducing multi-product solutions
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Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Cost/12 months |
|---|---|
ProductAccess | $40,000.00 |
Vendor refund policy
This product does not offer refunds.
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
Likefolio All | All historical revisions | All future revisions | Not included | Not included |
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