social intelligence for trading & investment decisions

©2020 DigitalMR® All Rights ReservedThis document contains proprietary/confidential company information. All unauthorized distribution prohibited. Any unauthorized recipient please immediately notify DigitalMR by email at [email protected]

Social Intelligence for Trading & Investment Decisions

www.digital-mr.com | @DigitalMR

Enabling the future of new alpha

©2020 DigitalMR® All Rights Reserved

Company Vision

To be a leading global provider of accurate, actionable and timely unstructured

data for business decision making.


Value Proposition

High quality signals

Sentiment & Topics

Consumer Product Tickers

Better investment & trading decisions


Using Social Intelligence for Alpha

Unsolicited consumer comments from social media and other online locations, provide an

entirely new source of information for a truly 360º opinion measurement. The precondition in order

to leverage this data is that you are able to accurately annotate them in an automated way.

The way customers of a company perceive its brands and products, how they feel and

think, and ultimately what they express about them in public, is a good predictor for a

company’s performance in the next quarter and beyond.


What makes DigitalMR’s listening247 different?

Not just:

Twitter*

ABC

English

Sentiment

News

Also:

ΑΒΓ ĄBĆ กขค ㅊㅎABC

Other languages such as Greek, Polish, Spanish, Thai, Korean, Dutch, with the same accuracy commitment

Topics like Purchase Intent, Recommendation, ESG

Blogs, Forums, Reviews

Facebook*, Instagram*, YouTube

*Data included from blogs, forums, news (editorial), reviews, and videos (incl. YouTube).Data from Twitter, Facebook, and Instagram can be added on demand.


Mapping Brands to a Ticker

Through the use of its social intelligence solution - listening247, DigitalMR is able to map online consumer feedback on brands of a company to their stock ticker.


Current Ticker Coverage (1)Company Ticker US Ticker Brands covered

1 Heineken NV HEIO HKHHF Amstel, Desperados, Heineken, Sol, Brand, Newcastle Brown, Dos Equis Amber, Tecate Light, Tecate, Lagunitas, Affligem, Wieckse

2 Anheuser Busch Inbev NV ABI BUDFF Hertog Jan, Hoegaarden, Jupiler, Corona, Leffe, Beck's, Grolsch, Budweiser, Modelo, Pacifico, Stella Artois, Shock Top, Michelob

3 Molson Coors Brewing Company TAP/A Blue Moon, Coors, Leinenkugel, Miller4 Diageo DGE DGEAF Guinness, Bell's, Buchanan's, Justerini & Brooks, Johnnie Walker5 Boston Beer Company SAM Samuel Adams

6 Ted Baker TED TBAKF Ted baker7 Mulberry Group PLC MUL Mulberry8 Tapestry, Inc. TPR Coach, Kate spade

9 Capri Holdings Limited CPRI Michael Kors10 Marie Brizard Wine & Spirits MBWS BVDRF William Peel11 Pernod Ricard RI PDRDF Chivas Regal, Ballantine's, Clan Campbell, Jameson12 Brown–Forman Corporation BF/A Jack Daniel's13 Suntory Beverage & Food Limited 2587 STBFF Jim Beam14 Toyota Motor Corp 7203 TOYOF Toyota15 Mitsubishi Motors Corporation 7211 MMTOF Mitsubishi16 Nissan Motor Co Ltd 7201 NSANF Nissan17 Honda Motor Co Ltd 7267 HNDAF Honda18 Mazda Motor Corp 7261 MZDAF Mazda19 Isuzu Motors Ltd 7202 ISUZF Isuzu20 Ford Motor Company F Ford21 General Motors Company GM Chevrolet



22 Kroger Co KR Kroger, King Soopers, Fred Meyer, Food 4 Less23 Lowe's Companies Inc. LOW Lowe's24 Rite Aid Corporation RAD Rite Aid25 Shoprite Holdings Limited SHP SRHGF ShopRite26 Target Corporation TGT Target27 Walgreens Boots Alliance Inc WBA Walgreens, Boots28 Walmart Inc. WMT Walmart, Sam's Club, Bompreço, Asda29 Smart & Final SFS Cash and Carry30 E-Mart Inc. 139480 e-Mart31 eBay Inc. EBAY Auction, Gmarket32 SK Holdings Co., Ltd. 034730 11 Street33 Lotte Corporation 004990 Lotte Mart34 Companhia Brasileira de Distribuição (GPA) PCAR Pão de Açúcar, Extra35 Raia Drogasil SA RADL3 RAIAF Droga Raia, Drogasil36 Sainsbury SBRY Sainsbury's37 Tesco TSCO Tesco38 Samsonite International S.A. 1910 SMSOF Samsonite, American Tourister, Tumi39 Citizen Watch Co., Ltd. 7762 CHCLF Frederique Constant, Alpina40 Strauss Group Ltd. STRS SGLJF MK Cafe41 Nestle SA NESN NSRGF Nescafe, Dolce Gusto42 H&M (HENNES & MAURITZ AB) HMB HMRZF H&M



43 Inditex ITX Zara44 Zalando ZAL ZLDSF zalando45 Foncière Euris EURS GoSport46 Amazon.com Inc. AMZN Amazon47 BJ's Wholesale Club Holdings Inc. BJ BJ's48 Costco Wholesale Corporation COST Costco

49 CVS Health Corporation CVS CVS50 Dollar General Corp. DG Dollar General51 Dollar Tree Stores, Inc. DLTR Family Dollar52 Home Depot Inc. HD Home Depot53 Koninklijke Ahold Delhaize NV AD AHODF Stop & Shop, click2shop, AB Vassilopoulos


AI Data Annotationsid Unique post ID

category Industry or product category of relevant brand(s) mentioned in the postcompany Parent company/companies of relevant brand(s) mentioned in the post, as it appears on the stock market

US TICKER US stock symbol of parent company/companies of relevant brand(s) mentioned in the postUS FIGI US FIGI of parent company/companies of relevant brand(s) mentioned in the post, if available

US TICKER (additional class) US stock symbol of parent company/companies of relevant brand(s) mentioned in the post for additional class of shares, if availableUS FIGI (additional class) US FIGI of parent company/companies of relevant brand(s) mentioned in the post for additional class of shares, if availableCountry of the Company Origin of the parent company/companies of relevant brand(s) mentioned in the post

Exchange Code Primary trading market code for non US parent company/companies of relevant brand(s) mentioned in the postTICKER Local stock symbol based on the country of the parent company/companies of relevant brand(s) mentioned in the post for non US companies

FIGI Local Financial Instrument Global Identifier based on the origin of the company for non US parent company/companies of relevant brand(s) mentioned in the postsentiment Sentiment expressed in post content (positive, negative, neutral)

brand Relevant brand name(s) mentioned in post contentadvertising / marketing Topic mentioned in post contentcompany performance Topic mentioned in post contentcustomer experience Topic mentioned in post contentemotional connection Topic mentioned in post content

esg Topic mentioned in post contentmotivators Topic mentioned in post content

needs Topic mentioned in post contentoccasions Topic mentioned in post content

pricing Topic mentioned in post contentproduct characteristics Topic mentioned in post content

purchase intent Topic mentioned in post contentrecommendation Topic mentioned in post content

posted_at Date and time of posting in UTCsource_type Type of post source - blog, board, news, reviews,

videolanguage Post language

br_Country Post author country location (if set by author)likes No. of post likes, only available for posts with source

type 'video'review_ratings Review rating expressed as a score from 0 to 100,

only available for posts with source type 'reviews'

& Available Metadata


Accuracy Commitment

Data Gathering

The Web

Data Annotation: Sentiment

Sentiment Model Creation

Post Processing: Sentiment

Precision Checks

Model Improvements

Data Export / Data Delivery

≥75% sentiment ≥90% relevance (brand)

NOT

≥80% semantic (topics)

Company

Products Customer Experience

…

Availability Quality Store Website

Price

Ticker

Brand


What kind of Data?

Twitter* Facebook* Instagram* Blogs Forums News Reviews Videos

• Automated annotations in English, Portuguese, Dutch, Polish and Greek• 3 years historical data and forward tracking of brands associated with consumer

product tickers• Daily data delivery at 5 am GMT

Brand Accounts/Pages Keyword search based gathering

*Data included from blogs, forums, news (editorial), reviews, and videos (incl. YouTube).Data from Twitter, Facebook, and Instagram can be added on demand.

©2020 DigitalMR® All Rights ReservedThis document contains proprietary/confidential company information. All unauthorized distribution prohibited. Any unauthorized recipient please immediately notify DigitalMR by email at [email protected]

www.digital-mr.com | @DigitalMR

Any Questions?

Thank You!


Appendix


Who is DigitalMR?

DigitalMR is a London based tech company with proprietary solutions for text and image analytics developed through

years of R&D. The team uniquely combines software developers, data scientists, and researchers with expertise in

data analytics and synthesising unique insights.

Specialising in high accuracy sentiment, semantic (topics), and emotions analysis, and the integration of social, survey, and sales data, DigitalMR has a variety of past and current clients and partners, ranging from small local companies to

large blue chip multinationals.


Client Testimonial

“DigitalMR is an innovative next-gen research agency on the forefront of all digital research methods and social media research. Through our

close collaboration, they have helped us in getting a superior understanding of our clients’ needs.

The insights that we gathered from key markets, including China, Latin America (Spanish globally), UK (English globally) and Russia, formed

the foundation for Saxo Bank´s new global brand: www.ForexTrading.com.

DigitalMR is one of the most savvy research agencies that I have worked with: experts at tackling global multilingual/multi-cultural

studies, in a flexible, result driven and cost efficient way.”

Uriel AlvaradoGlobal Chief Marketing & PR Officer

ForexTrading, Saxo Bank

social intelligence for trading & investment decisions

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