AI driven analytics platform for influencer marketing Prometeus.io
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L A B S AI driven analytics platform for influencer marketing
Overview Prometeus Labs is an influencer ranking, discovery and AI driven analytics platform Providing its customers with in-depth insights into demographic & psychographic data of social media influencers and their audiences Built on a decentralized data storage model which allows data owners to monetize fairly on their data
What is Influencer Marketing? With today’s instant ways to communicate a new era of marketing is on the rise! Where focus is placed on influential people, social networks and their audience, making it a more engaged and targeted marketing model. 1950’s 2010’s ERA OF TRADITIONAL MARKETING NEW ERA OF INFLUENCER MARKETING • One way communication – no feedback • Two way communication with instant feedback • Very limited targeting and poor analytics • Opportunity to collect and leverage precise user data • Low level of trust, especially for young generation • High level of trust and engagement “Just “Oh, yesterday I drove a new cool car, ahaha, buy it!” look what a beautiful lady sits next to me!” “Just Influencer “Hey, my friend, Ads buy it!” I am using this product, it is “This is the awesome!” product you've been waiting for!”
Influencer marketing market growth rate Higher SpendForecast The Influencer marketing Lower Spend Forecast industry will be a $5-$10 billion market by 2020 $12 $10.0B The Influencer marketing $10 industry will be a $5-$10 $8.2B Ad Spend in Billions billion market in the next 2 $8 years. According to Google $6.3B Trends, interest in influencer $6 marketing has more than $4.4B doubled within the past year. $4 $5.0B $2.5B $4.1B This is a significant increase $2 $3.2B from the previous year which $500М $2.4B already saw a 40% increase. 0 $1.5B 2015 2016 2017 2018 2019 2020
Problems with today’s Influencer Marketing Even though billions of people are engaged with millions of influencers online, both brands and bloggers struggle to use data for beneficial and effective influence marketing campaigns. All due to limited data access and a lack of comprehensive analytical tools to interpret the data right What can you see from these pages for your marketing campaign...?! BRANDS INFLUENCERS No comprehensive reports on Limited analytics provided by social audience and ads efficiency of particular network - has close to zero information about blogger/influencer his/her own audience Quantity over quality - work with as Fakes, bots or wrong audience - many influencers as possible in the hope to actively participates in cross-promos leading to engage the audience - wasting budget bad results Local influencers and rising stars Struggle to find advertisers with underutilized - they have relatively small though relevant products that will interest the dedicated and engaged audiences subscribers No official marketplace for data analytics, having to use “black markets” with questionable provenance and low quality data … REALLY NOTHING!
Our technologies Our current solution allows the search of potential influencers by applying multiple search criteria based on influencer data as well as engaged audience data Below are key metrics - geographic, demographic, psychographic and performance data for both an influencer and their audience GEOGRAPHIC DATA DEMOGRAPHIC DATA PSYCHOGRAPHIC DATA PERFORMANCE DATA • Countries • Age • Brand Affinities • Audience Credibility • States (for US) • Gender • Interests • Paid Post Performance • Cities • Age-Gender • Popular #hashtags • Notable Followers & Engagements • Regions [under development] • Ethnicity • Popular @mentions • Fake followers [under development] • Languages • Interests by picture content [under • Active Audience [under development] development] • Best time to post [under development] • Household income [under development] In addition, our technologies TOPICTENSOR and AUDIENCE LOOKALIKES powered by AI put influencers search onto the next level.
Our technologies TopicTensor is our killer feature to find bloggers which post about specific topics, as narrow as you want them to be. The search is based on tags and their relation to each other, established with vectors, tensors and machine learning algorithms. TOPICTENSOR PRINCIPLE TOPICTENSOR IN USE This feature allows you to find 1 Input topic #bmw 4 Expand topic with #bmw, #audi, #mercedes, #vw bloggers related to topics (tags), based on input keyword or a combination of keywords (tags) 2 Identify the following related tags: 5 Identify related tags to a combination of input tags: Similar to Google AdWords, where targeted audience is found based on search words, we target audience based on tags The model operates with vectors and tensors in multidimensional spaces (high-dimensional spaces) in order to mathematically represent relations (distances) between tags Tag relevance low media high This example shows TopicTesnor’s ability to generalize: it understood Machine learning algorithms studied that we meant cars in general (#car #cars); it also understood that As you can see, TopicTensor did a fine job with shaping the subject is German cars (tags circled in red); added the “missing” billions of Instagram posts to identify the subject matter of ‘BMW’ and found many relevant tags: #porsche (also German auto brand) and options for different which tags are close to each other tags, the existence of which most do not even suspect. wording: #mercedesbenz, #benz and #volkswagen (i.e. related) and which are apart in “the universe of tags” 3 Find all bloggers posting about this topic 6 Find all bloggers posting on the expanded topic
Our technologies Audience Lookalike is our second killer feature that finds similar bloggers based on the amount of common subscribers and overcomes inherent limitations related to tags in TopicTensor technology TOPICTENSOR LIMITATIONS AUDIENCE LOOKALIKES PRINCIPLE AUDIENCE LOOKALIKES IN USE To search for similar bloggers without restrictions the 1 Input account @realdonaldtrump TopicTensor searches for bloggers similarity is determined by how close their audiences are. In with similar topics, defined through the most primitive version, lookalikes can be built as tags used. However this method is following: 2 Find accounts with overlapping subscribers: not universal: Blogger A Blogger B Blogger C Ivanka Trump Wife, mother, sister, daughter. Advisor to POTUS 1. Not all bloggers use tags First Lady This account is run by the Office of First Lady Blogger A --- 10 20 Melania Trump Melania Trump. 2. Topic may not be expressed Blogger B 10 --- 5 Mike Pence Indiana Governor Mike Pence, Republican Vice with tags. Entertainment blogs Presidential Candidate may use a wide variety of tags, Blogger C 20 5 --- EVP of Development & Acquisitions The Donald Trump Jr. @Trump Organization, Father, depending on the owner’s Tiffany Ariana imagination T.A.T. Where A, B, C are bloggers with approximately the same size Trump of the audience. The size of the overlapping audience (i.e. Executive Vice President of The @Trump 3. Tags are usually local to each Eric F. Trump Organization. Husband to @LaraLeaTrump subscribed to both A & B) is entered into the table. In this language. #cat tags in English United States First Lady table most similar bloggers are A & C. Melania Trump #MakeAmericaGreatAgain! and #gato in Spanish will belong to different clusters of The real model is based on matrix factorization and Republican Party Proud to be a Republican? Click here� topics sophisticated machine learning algorithms Fox News The Official Fox News Channel Instagram
Ready to use solution UI Allows you to identify potential influencers by applying multiple search criteria based on influencer data as well as engaged audience data You can identify influencers using 10 parameters • TopicTensor • Followers • Gender • Ethnicity • Location • Brands • Interests • Engagements • Bio search • Language and up to 8 parameters more to filter their audience • Language • Location • Age • Brands • Interests • Ethnicity • Gender
Ready to use solution UI Provides you with access to in-depth demographic & psychographic data on both influencer and their audience. Sample on the right is one page of a 33 pages report of statistical data. All statistics are based on enriched raw-data (posts and followers) that was uploaded from Instagram. Please note that all of our data is proprietary metrics based on estimated data and not necessary reflective of actual data Visual Reports are also available in Web, PDF, JSON and API
Hundreds of brands and agencies While working on influencer data services the Founders of Prometeus Labs helped hundreds of brands and agencies to enhance their marketing campaigns. We see all of them as potential clients of Prometeus ecosystem. and othe rs
Business Cases & Testimonials Case I Case II We had a project with HotelsCombined with the aim to increase their service After unsuccessful marketing campaigns for cosmetics products Clarins has decided to use our popularity and brand awareness by using analytical insights available from data insights of social media Influencers’ audience this resulted in an increase of campaigns’ Influencers and personal data of the targeted audience. success rate up to 100%. SITUATION FACED SITUATION FACED • Need to attract potential users from Israel, and offer them help in finding • Strong emphasis on promoting products via social media channels the best travel deals • 50% of marketing campaign budget was spent in-efficiently, where 2 out of 4 influencers • Target to increase brand awareness in the respected market showed poor results • Need for marketing campaigns on Instagram through influencers ACTIONS TAKEN ACTIONS TAKEN • Through analytical insights we analyzed the problems of the underperforming influencers and found that the wrong audience was targeted: • Using the analytical insights we selected the right influencers for the campaign: four celebrities from Israel with a matching target audience “It turned out that even though these two women were from the UAE, their audience was mainly from third countries, and the majority of their followers were men. The audience was • Hosted them free of charge at our best locations in Barcelona not interested in beauty products for women but rather attracted by physical appearance of • The influencers posted images and stories of their holiday on Instagram, the influencers” shared their experiences and exclusive tips with followers • Started checking each marketing campaign through influencers using insights RESULTS ACHIEVED • Next advertising campaigns were strictly conducted according to the parameters of: location • More than 2.4M views of exclusive and interesting content with “brand (only the target market), age, and the gender of followers mention” RESULTS ACHIEVED • more than 300K followers engaged (likes and comments) • The campaign showed a 100% successful rate in terms of audience response • Reduced cost from approximately $0.025 to $0.01 per engagement • Marketing effectiveness has doubled, as opposed to campaigns without data insights The campaign success has surpassed our expectations, its We saved on our marketing budget and got excellent results, for which we results are much better than any of the previous are very grateful to our partner. campaigns!
Business Cases & Testimonials Case III Case VI Uber with the objective to launch a clothing donation campaign during Ramadan Samsung faced the challenge of reaching the right audience to promote their decided to use our data insights of their social media audience to choose the mobile products, they decided to use our tools and insights to choose the best- right influencer for this sensitive religion related topic. fit social media Influencers for the campaign #We_are_Samsung SITUATION FACED SITUATION FACED • The objective was to drive people to donate clothing during Ramadan • “How can our brand reach its audience in an effective way?” • It was critical to identify the right influencers with appropriate content and • Goal was to reach the most creative part of the Israeli audience and show audience them the new capabilities of smartphones and how they can create interesting content with them. ACTIONS TAKEN ACTIONS TAKEN • Using audience data reports, we identified influencers in 2 different countries, with matching audience criteria and the brand's target audience • Various fields of interest were chosen - beauty and fashion, teens, foodies, sports and extreme, art and photography • Analyzed data of the content posted by targeted influencers to make sure that influencers did not post any inappropriate content that might contradict this • With insightful data 15 influencers from Israel were analyzed, the following sensitive topic and hurt the brand's image criteria were applied: had an involved and active audience; their audience was interested in the chosen topic; the largest number of followers lived in Israel • Also investigated data related to the type of content and language in order to and were of the targeted age identify best-fit influencers in terms of the brand's identity RESULTS ACHIEVED RESULTS ACHIEVED • Campaign got more than 11 mln engagements, with a total reach of over 68 • The campaign resulted in more than 15k engagements from 5 influencer posts. mln and over 9 mln views • This allowed the brand to save 46% on cost per engagement, compared to • Samsung page has doubled its number of followers having to promote their own posts. Hashtag #We_Are_Samsung gained a life of its own and the comments speak for themselves!
Business Cases & Testimonials Our partner has been very very The platform provides us with Instantly allowed us to add With the help of our partner, With the support of insightful helpful to our Agency. With the the most crucial and precise beautiful detailed demographic the agency is able to properly data, our platform was able to quality of the data they audience data for influencers reports to our Influencer vet the quality an influencer's help a client save thousands of provide, it has added an extra on Instagram. Global consumer identification engine. Our audience to ensure they cater dollars, as data was able to value to our Agency. And much brands and agencies rely on customers find them extremely to our clients' key demographic show that an American needed boost to make our analytical data to choose the valuable in helping them decide - ensuring every campaign we Influencer's audience was Influencer Campaigns more right influencers to collaborate which influencers to work with. execute drives the strongest predominantly Russian - which effective. with. results possible. is a sure sign of Influence Fraud! Milo Spencer-Harper Victoria Harrison Francis Trapp Co-Founder of Noah Parker Tony Tran Managing Director at Moju Partner & Director of Co-Founder, CEO at Founder & CEO, The Exposure Co Strategy at Lumanu Brandnew IO The Influence Agency
Current problems of personal data market In the era of digital society terabytes of valuable personal data is generated every minute. However the only beneficiaries of this data are big corporations including social networks, social media, search engines etc. The real owners and producers of personal data get no reward and often are treated like an asset rather than real persons. Furthermore the raw data is of little interest for the end buyers and must be enhanced beforehand by machine learning experts to create valuable data that can be used in multiple spheres - from internet advertising to medical research. Prometeus Labs is creating an ecosystem that connects all the interested parties including data owners, aggregators/validators, machine learning experts and buyers primarily rewarding real people - influencers, patients, etc. Users, not assets Access and quality Regulation limbo User data is scattered on different Raw data represents low value and GDPR and Facebook–Cambridge platforms and is being sold without any must be enriched by AI beforehand. Analytica data scandal drive social reward for users, sometimes without Without official way to purchase platforms towards limiting the use their direct consent. Access to users valuable data businesses and of their data by cutting the API data is limited by the major players analytics have to use “black markets” down to its complete uselessness, (FB, Google, Apple, etc) limiting with questionable provenance and however real data owners finally opportunities for AI technologies and low quality of data can get access to their data under start-ups the same regulations
Our solution Prometeus Labs has designed secure and decentralized ecosystem for people-owned data markets that overcomes current real-world barriers and serves as an infrastructure for gathering ,validating, processing, enriching, and selling people-owned data. System designed to solve particular problems Direct reward for data owners for every access of growing markets with real clients and high to their data demand Encryption mechanism for secure storage of Censorship-resistant, trustworthy data storage people-owned data and transaction with fair access for everyone settlement Working system of incentives to network GDPR compliant members for providing and updating the data system and inviting new members to the network
How it works Data Source Enriche (Data science, AI or Machine Learning r companies) Apply in-depth analysis methods to the data Generate new valuable download enrich optional insights personal 1 off-chain step upload verified 3 step buy verified data personal data personal data data 2 4 5 upload verified Data Owner Validator personal DataMart Data Buyer (Blogger or Data Aggregator) data (Advertising agency, Deposits N tokens to marketing agency, brand Creates Prometeus Network Provides user friendly become a Validator or intermediary service) account and an encryption interface to search and key Authenticates data owner pay for data Navigates Datamart to Monitors quality of data Provides payment options find data for purchase Downloads personal data from social network account Encrypts data with public in tokens or fiat Primary price of data is set key of the provider by Owner or Validator Uploads data to the Validator Pays a fee for uploading Final Price is determined Changes/deletes data and verified data to the by demand manages its sales Network
Why Blockchain Centralized systems that deal with personal data have a number of disadvantages. We eliminated them by implementing blockchain architecture with Prometeus network bringing ownership, security and transparency to the next level. Traditional centralized systems Prometeus blockchain network Centralized system is subject to potential misuse by corporations Decentralized system is censorship-resistant, GDRP compliant net ARCHITECTURE and high scrutiny from governments and regulators with fair access for everyone. No point of failure & no single owner & PRICE MODEL Aimed at increasing profits for the system itself, resulting Mutually beneficial system of incentives and direct reward for all underpricing for bloggers and overpricing for buyers participants, where the price of data is determined by market All data collection & handling rules hidden in “black box”. Lack of Strictly compliant with transparent rules described in smart contracts. mechanisms allowing its participants to ensure integrity of system All system activities are readily trackable by participants. TRANSPARENCY Users do not know who/when/how many times purchased data, All transactions is traceable. Their history is viewable. Users have whether or not this data is accurate and true complete information about the data and their accuracy. Data Owner 's reputation is unknown or can be boosted and Automatic transparent ranking system, which computed by smart falsified. contract SECURITY Risk of data being stolen, forge, or copied but not purchased. Encryption mechanism for secure storage . Publishing only MetaData Centralized insecure storage. in public access. Impossible to forge / break
Prometeus Labs Ecosystem Prometeus Labs is building an ecosystem for people-owned data markets with proprietary analytical tools & businesses that overcomes real-world barriers and serves as an infrastructure for gathering, validating, enriching and providing analytical data in a decentralized, secure and transparent manner USERS CLIENTS Data Influencers Marketing Brands Researchers People-owned aggregators Bloggers agencies data market Monetized via Owned data 1 smart contracts 4 Data insights PROMETEUS LABS BUSINESSES Analyze data Ranking Data Validate Data Data Data Extract insights Analytical Reports Validator Monetize Data Enricher AI empowered Mart Tools & Services Data Analytics Data Validation Data Enrichment Validated data Enriched data Validated data 2 for enrichment to secure storage 3 Enriched data PROMETEUS Smart Secure & NETWORK Contracts Transparent Decentralized Data GDRP storage & encryption compliant transactions
Native Token TOKEN TOKEN GENERAL SCHEME DESCRIPTION Subjects Utility token functions: the network Market DataMarts Stocks Security currency, a possible acquirer’s payment deposits Liquidity medium, a possible owner’s payment Source Validators medium Enrichers Rewards Work token functions: network service Storage Blockchain rewards pool +Storage fees, proof-of-stake deposits for Market ecosystem participants Nodes Tx fees Block rewards Blockchain Deposits / Withdrawals Nodes’ stacking deposits Tax
Network Features Smart Contracts Nodes & Storage Dead Man Switch Encryption All business rules, including Data is uploaded into nodes storage To go offline without stopping the Encryption with the Data owner's verification, sale and payment, are by Validator and Enricher. sale of data, Data Owner delegates key is performed by Validator. strictly enforced through smart Hash, keys, list of all participants, Data generation of the keys to Dead man Secure transportation of data to the contracts in a transparent and sales announcements are fixed on switch mechanism — Buyer is provided using the re- accessible manner blockchain off-chain key storage encryption keys Participants Rating Data MetaData Data History Access The popularity of participants is Data management is implemented To protect data from being All network participants own a expressed in Reputation. It is through Data owner’s private key, copied, Validator publishes only public identifier and use it as a based on transparent indicators, which allows change/delete data and metadata in public access. key to the history of data. Who, attributed via smart contracts, manage its sales Buyer will be able to value when and how many times sold/ making it impossible to forge data but not to steal it without bought/processed this data purchasing
Network Applications FEATURES FEATURES Decentralized and secure Infrastructure for personal data storage decentralized apps and marketplace (Dapps) development APPLICATIONS APPLICATIONS Marketing tasks Develop/Train AI models ● Influencer Marketing ● Socio-demographic data inference ● Work with Micro-Influencers (1k-100k followers) ● Sentiment analysis ● Insurance data market ● Object and face recognition ● Marketing research in other various fields ● Influencer matching, audience matching for marketing campaigns ● ROI modeling for marketing campaigns Research and Statistics ● Customer churn prediction ● Statistics gathering for research ● Predictive Customer Lifetime Value modeling and analysis in various fields ● Medicine and genome research Other Dapps ● Human resource statistics analysis ● Implement monetization mechanisms ● Photos and other multimedia statistics analysis
Road map Prometeus Network ecosystem will be launched with the application – AI driven analytics platform for Influencer marketing. Prometeus Labs continues to develop data analysis methods which can be used within the network Proof of Concept Today Q3 Q4 Q1 Q2 Q3 2019 2019 2019 2020 2020 2020 Q2 Concept Prototype Release MVP (α testnet) MVP (β testnet) New features Main net • Concept developed Use of production ready • Participants adoption • Second stage of • Mass Data owners • Scaling to adjacent • Whitepaper released solutions: (validators and testing and bug fixing adoption markets • Ethereum based smart enrichers) • Integration of AI • Adding “Dead man • Global expansion • Seed fundraising initiated contracts • Launch own network algorithms switch” mechanism • Ethereum Swarm (Proof-of-stake) • Network Resource • BigChainDB • Data storage via • Optimization nodes functionality • NuCypher
Prometeus Labs team leaders & our experience Arthur Suilin Sergey Bryukov Armen Beglaryan Chief Executive Officer Chief Blockchain Architect Chief Operation Officer Arthur is serial entrepreneur and a data Sergey is technology leader in every aspect, Armen started his career in IT as an SEO in scientist with over 15 years of experience. from architecture, business and vision to 2004, and he was at the forefront of Internet He has founded two successful companies: implementation. He is ex-Head of R&D in marketing in the Russian Internet. He has a vast Webvisor, users' behavior analytics service - LAToken, managed cryptocurrency experience in creating and managing companies acquired by Yandex (YNDX $10.5B) and exchange platform development team. He in IT and trading spheres (retail, wholesale, Rusnew, predecessor of Reddit - acquired has participated in smart contract import, and export). He has a proven track by Mail.ru (MAIL $5.476B). He is also a developing and applying projects: record in leading teams and managing Kaggle competition winner, contributor of Acropolis, Melonport, DHARMA and hold a successful businesses. Armen knows what ClickHouse (world's #3 fastest bigdata DB) role of Market Making team leader. Sergey needs to be done to move to a new office, deal and ex-lead of Yandex.Metrica (world's #2 has got a hube experience in cryptography, with hiring staff, launch customer support, web analytics service). while he had been working for more than 10 establish connections and networks and turn a years on the cutting edge of R&D in Intel startup into a professionally managed company and Bosch. (lawyers, accountants, HR, and so on).
Prometeus Labs team leaders & our experience Daniil Minkov Arstan Toregozhin Maxim Prudchenko Blockchain Team Lead Senior Project Manager Head of Support Daniil is an experienced manager, many IT Arstan was responsible for development, Maxim is blockchain enthusiast with a projects and complex ecosystem marketing and monetization of 11 sites and serious experience in relationship manager blockchain products have been created 8 mobile apps with consolidated DAO over with experience in community management under his leadership. 2m at Mail.Ru Group (MAIL $5.478B). He and team management. He has participated With Prometeus Danill is responsible to has 10+ years of diverse experience in in various token launches as a head of manage both our own team of blockchain software developing, mobile apps building, support, bounty manager, community developers as well as developments sales and marketing. Being a student, manager. He has got a bachelor's degree in outsourced to our strategic partner, Arstan became Microsoft Certified Applied Mathematics and going to improve Snowfox Technologies Professional Developer (MCPD). his skills in area of distributed storage (www.snowfox.tech). Snowfox is a leading systems and cryptography. solution provider for building world class blockchain solutions.
Prometeus Labs team leaders & our experience Vladislavs Semjonovs Maksym Maljuk Dmitry Vizhnitsky Business Development Senior Blockchain Developer Tokenonomic modeling Vladislav is an experienced professional with a legal Maksym is an experienced blockchain Dmitry has PhD in Economics, MA in International and financial academic background with more than developer, specifically with Bitcoin, Ethereum, Finance, associate professor of National Economy, five years of career progression in business Quorum, Hyperledger Fabric/Burrow and EOS. Ivan Franko National University of Lviv, Ukraine. development, law and investment operations Software development skills include solid Member of Regional Studies Association (RSA), across several industries. He is an early crypto knowledge of PHP, Node.js, Golang, and basic UK. Former postgraduate intern, Sustainable investor(who started trading Bitcoins from 2011) knowledge of C++, HTML, CSS, JavaScript, Ajax, Development Dept., World Bank. Areas of and is active in the blockchain industry as a jQuery; databases skills: MySQL, PostgreSQL, expertise: investment analysis and modeling, consultant for startups, service provider and MongoDB; framework: Yii2. Maksym has quantitative modeling and forecasting, venture investor. Vladislav will be leading business graduated from National Technical University of sustainability economics and finance. development and alliance management at Ukraine "Kyiv Polytechnic Institute“ as Software Prometeus to strengthen and utilize its network for Engineering(distant education), Heat-And- continuous expansive growth. Energy Engineering Faculty - Master's degree.
Our advisory board Alex Mizrahi Iddo Bentov Alex has been programming since he Iddo has been involved in the Bitcoin was 10 years old. He is the first space since 2011. He is a postdoctoral person in the world who has done researcher at Cornell University the implementation of Bitcoin 2..0. (https://www.cs.cornell.edu/~iddo/) From 2012 he leads the open source and the author of several academic colored coins project . MSc in applied papers on cryptography and mathematics from Donetsk National cryptocurrency. He also works on University, graduated with honors. succinct zero-knowledge proofs at Author of several academic papers SCIPR Lab, and holds a Ph.D. in about Bitcoin. Also known as Computer Science from the Technion “killerstorm”. Besides, Alex is CTO and - Israel Institute of Technology. Co-Founder of ChromaWay.
Thank you for your attention ! Vladislavs Semjonovs СBDO at Prometeus Labs +37120450288 vs@prometeus.io
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