New Ethereum talks, every Monday. The week's conference uploads by event, in your inbox.

Loading player…

NEXUS Startup Competition Pitch - Evolv - TOKEN2049 Singapore 2024

TOKEN2049Wed, Oct 9, 2024, 12:00 AM

Transcript

engagement economy it's A3 trillion economy right worldwide everyone wants attention every consumer brand globally they are looking for engagement okay but what we say like engagement is not that optimal to grab okay what we're essentially building is a consumer framework for engagement that bootstraps and automates engagement on a scale level there are few challenges with existing brand engagement practices okay the when you look at how the brand engagement is done in both web 2 and web 3 worlds like if you want to engage a user you have to manually like create a proper team to create an engagement solution or maybe create a telegram group or something like that right manual engagements are unscalable okay it leads to high setup cost High time and effort okay when you look at the existing tools for engagement they have very limited use cases when you look like Solutions like Z or Galaxy right they're quite focused on Onin Tas like you know provide liquidity somewhere or something like that okay there are some solutions in the web to space but they are very particular use use case workers like follow us on socials that can be easily trackable okay which makes them ineffective in a longer run like we know no one size fits all each brand has its own unique each brand has its own requirement to CER their audiences and you can't use the same thing everywhere third thing is data for actionable insights does not even exist when you look at the data let's say if you want people to engage in this room right there is no way to track and monitor data in a real time it's a whole disorganized space right there is no native data creation Analytics tool okay what we are essentially doing at evolv is we are automating engagement setups for Brands where we provide a plug-in Place solution that scales engagement creation the engagement can be connected all the touch points and everything they're connected across Channel both online offline and onchain as well so onchain through like uh it's om chain online we are using ZK TLS to validate any online activity offline we are really editing it through nfcs and our deep Network okay third thing is we provide built-in data generation with actionable Insight that actually makes sense for a brand to run an engagement campaign that does like we are kind of creating our own data sets our own touch points and we do that by our whole very comprehensive modular engagement stack it's a very versatile stack that we have been building from past 2.5 years where we have the blockchain layer that includes L1 l2s and rollers integration with its own wallets oracles and rels integration separately then we have the infrastructure layer to create and manage things on domains and everything the integration layer that in integrate with various third party apis and connects with various platforms using ZK LS the AI layer to kind of automate the whole campaign creation process and provide more kind of an actionable insights for the following thing the engagement stack it includes engagement Solutions gamification layer the social layer Commerce layer and there is an application layer and the action enable data that data that comes out of that layer okay so we provide whole thing as an stack and someone can just use Plug and Play This solution and create their engagement solution for both web2 and web 3 brands on this layer on this layer we have already created a very comprehensive suit of products the prime is for bigger Brands to create their own ecosystem on board multiple Brands under their umbrella studio is for individual Brands to launch and create campaigns based on their use cases it can be immersive Commerce it can be loyalty programs it can be various use cases then there is the connect application the user facing and the ground star facing application to validate things like or for users to interact with brand on a global scale they are the major use cases that we are catting right now short-term engagement campaigns live event platforms loyalty programs personalized campaigns Community engagements sales and marketing campaigns okay our current focus is on Live Events Why Live Events when you just look at the live event Market in just web3 space it has grown by 800% in last 2 years okay the globally live event Market is $17 trillion Market it 76% % of the companies when you look at just around here like they have increased their spending and Live Events by minimum of 11% there is a need for an improvements improved solutions to get actual meaningful data get an actual Roi it's completely missing out there and our solution align Wills with the needs when you look at how evolve fits in just the event cycle so this is the live application layer that's already live and we have been catering events from past nearly 1 and a half year so when you go to the events like there something for registration there's something for attendance verification but nothing exists for the pre-event activations what value a user is providing once the enter your event nothing no Roi no value and that's what we are solving we have already done uh few launches with some of the amazing Brands we have 36 clients already live on our platform 48 more in P planine the major brands includes polygon base uh anima Brands octo India blockchain week uh we have done 58 campaigns across music Sports and corporate events we have done more than 300K activations how our solution is actually better it shows with the number we provide on an average 22x more increase in engagement Effectiveness 85% in the 85% reducing the time and effort that's required to set up and kind of cater your audiences effectively how we will win simple so there are two ways so one is we are adding new engagement models that kind of each new model it it unlocks new business markets and new business opportunity for us and each new stack uh in our solution it kind of provides us an up upsell opportunity in the existing markets second we collect a lot of data we are collecting on an average 1.5 million data points in a monthly basis okay what to do with that raw data right we are building a decentralized privacy preserving layer that allows other brands to run computations and kind of inferences on that data and we are kind of building a decentralized privacy preserving dat Market happy to answer any questions guys um is the goal here like uh you know any individual company or project or whatever would use this uh themselves directly yes um are would you say you're competing with like then like maybe PR firms or would you think that maybe PR firms would use you guys like how do you think about it from like an end to end service that just kind of offers everything you do so it works for any consumer brand regardless of the industry and provide them to control their engagement Solutions on their own you see a lot of companies don't want to first like you know like the reason they don't want to cater it by themselves it's not easy right if you want to create an engagement campaign you don't know exactly what you want to do okay we automate the whole process for them into to in got it thanks and the crypto portion of this are you doing onchain engagements like quests and stuff rabbit hole type the whole stack the major elements that are onchain and the major crypto element will be the decentralized data market okay it's already interesting right now it's interet but it will be go live soon and the data market the idea is like yeah who's the user for that it's like brands that want to yes so consider that uh like U the engagement data layer is more kind of something like um maybe aail or something like Celestia but for offchain data okay how like kind of a d my question was also kind of around the decentralized data market yes I I do think that part is kind of uniquely interesting what would you do with that data how would you involve different companies got it got it so let's say if I am a brand and if I want to enter to a specific market and I don't know anything about how that market will react to my product or how they will react to my brand so that I can leverage that data let's say if I a maybe clothing brand or a like a consumer brand right I want a bit of insights on that data okay how what is my target audience how they will react to my offering and everything there is no way I am getting that right now I can't just go to my competitors and ask ask for the data right so that's something that we solve and when you look at uh let's say to give you an example we are catering a football club okay so one of the biggest brand that we have is a football club okay they want to enter kind of cater basically what kind of uh you know stores they want to set up in this nearby stadiums area okay and they don't know so they use our data layer to kind of run inferences okay what kind of food habits people have in that region and they inte kind of they converted that to their Stadium part awesome well thank you very much thank you

Automatic transcript — names and jargon may be misspelled.