Lucia’s Core Unique Value Offer

Lucia Protocol
7 min readAug 15, 2024

--

Intro

A company’s lifeblood is its sales. Read this if you’re serious about being a founder, or you’re serious about seeing guaranteed success in your portfolio companies if you are an investor. However, a SDR costs a company $50,000 a year.

Super Quick Intro about me

Multiple time Founder. Extensive experience with GTM. Lead teams of 30+. https://x.com/lingqingm Angel Investor and Partner at https://www.ironkeycapital.com CEO of Lucia Protocol

Right now LLM’s aren’t good enough to make sales messages personalized. A lot of the work in building a company is manual. They say that AI will takeover a lot of jobs. I think the best defense against that is to transition from a knowledge worker to an equity owner. And to do that, you’ll need to start a startup or invest in many — either way read more below to follow these principles.

This is what your startup should look like if you’re good at your job

You could use ChatpGPT you burn through all of your 500,000 leads and at best you get a couple of sales for $1,000 each.

Word on the street on using ChatGPT for Sales
TLDR: Don’t believe the hype

What’s ahead of the curve? Well using web scrapers to collect more information on peoplebut many people will realize this is going to lead to a dead end.

Right now the trend is all AI companies are building their own web scrapers. But its duplicate work. Too many cooks in the kitchen. On top of that, scraping is getting harder and harder now that tools have come out that prevent bots from reading your webpage.

Every Startup is building their own webscraper with Selenium and Gecko Driver 😂 So much extra work

How did it OpenAI get away with this?

OpenAI caught everyone with their pants down and stayed underneath the radar for 5 years straight. While doing that they were downloading, recording, training every single piece of content on YouTube and the rest of the internet.

No one was thinking about AI, no one was thinking about generative AI 3 years ago except for maybe Illia Polosukhin who is the founder of Near Protocol.

Side Note: Kind of crazy to be on the Whitepaper of 2 completely opposite industries (Blockchain and AI). Hats off to Illia 🫡

But now you can’t do that anymore. Most websites like LinkedIn put in capchas in place to prevent bots and headerless browsers. If you’re late to the game, you could fail entirely at building an effective web scraper.

Now how do you scale a startup?

The answer lies in understanding your customer — collecting data at scale automatically. Not just public information from scrapers. The information about him beneath the surface. Understanding what makes them tick. Enter Lucia Attribution.

Why its absolutely crucial to collect information not available via scraping

Attribution has been around for a while. Before it would focus on helping advertisers avoid being double charged, and helps marketers nudge users to complete the onboarding process or become a subscribing user to a web2 platform.

But there’s so much more value in that data. Here are the tailwinds that we are working off of.

  • Web3 is slowly going to get more and more mobile focused. That means financial data will be part of the mix.
  • ZKP and Fully Homomorphic encryption helps protect consumer privacy
  • Technologies such as RAG which we our firm has heavily invested in allows outside data to be combined with general LLM models.

Working Example

Let’s say you are a fintech startup like Brex that is looking for an ideal customer. Your main leads list consists of CEO’s and CFO’s.

You use our tool to collect attribution data, this would include

The fintech startup grows their list of browser fingerprints via Lucia SDK which identify each target customer across any device they are on

Now you know which executive (customer prospect) is in what time zone. You know which execs are early birds and which ones are night owls.

How?

Because the moment they use a website that has an SDK, it collects information such as the timezone (the browser gives this away) and what apps they use (they like to make trades on Robhinhood at 5 am PST when the markets open — therefore they are an early bird).

Side Note: We’re hiring 🥳

We at Lucia Protocol are looking for Engineers! We’re Venture backed and are looking for talented engineers. Our team is elite our current and past hires have included people that have worked at Huawei, Phantom, Near Protocol, Sei Blockchain, Branch, Coinbase and many more.

🥇 If interested in joining our elite team 🏆

Why this is a game changer for all types of startups

Before, the biggest challenge of building a company was figuring out how to make the first $700k of sales while keeping up with payroll, all the expenses, managing VC conversations, and not getting burnt out.

As a multiple time founder: Sales is the hardest part of a startup because when you first build your product — NOBODY WANTS A MESSY OR INCOMPLETE PRODUCT. However, at that 6 month to 1 year stage in the company is when the pressure is at its highest. VC’s need to see traction in sales, and you’re running out of runway.

What most MVP’s look like 🤦‍♀️

When you try to make the sale with a half baked product, the customer instantly hangs up the phone and does a quick google search and purchases this masterpiece from your competitor instead with all the bells and whistles attached (comes with Siege Mode out of the box)

What people want 🙋‍♀️

However, thanks to the power of our attribution system and advanced AI modeling backend, our AI agents uses RAG (Retrieval Augmented Generation) and combines customer nuances with the exact email (or push notification) that is written as if a Stanford Business Analyst studied this customer prospect for 4 hours straight before sending a clear and concise introduction email. Not only that, but when the customer prospect responds, our Lucia Attribution system adds that to the system state and drafts a tailor-made followup email perfectly suited to advancing the conversation to the next step of the sale.

It doesn’t have to be an email either. It could be a DM on Instagram or Telegram. Or it could be a tailor made content video specific for your a large segment in your audience.

With Lucia — You’re going to now have a bigger budget for turning your messy legos into a sleek, minimalist ,sexy product that customers will love. Presentation matters.

Conclusion

Having financial information about our customers is key. Knowing their behaviors and when is the right time to advertise is key.

  • We’re capitalizing on the usage of our browser fingerprint data for Lucia Attribution
  • Showing affection, humor, memes. Being appreciative of the customer’s time is key. Personalizationg the communication
  • Saying the right things at the right time gives the impression that the customer is in good hands

Now, instead of blowing through all your leads using ChatGPT, or spending hundreds of thousands of dollars on multiple junior SDR’s. You can our platform to collect customer data, bring onboard a marketer or 1 founding AE.

  • Instead of spending $20k a month you now spend $5k a month
  • 1 person gets the efficiency of a 10 person sales army by using data driven insights to craft tailor made messages to your end users

Usually our customers see a 3–6x ROI in sales and marketing spend after using our product.

You’ll interact with our product through our Dashboard Web App

Want to learn more?

And a quick intro about me

We have many large customers in the pipeline already, and typically only serve companies already generating revenue. However, we can do a 30 minute call where I will personally help you transform your startup’s sales and marketing organization to be 30–60% more efficient. By the end of the call I’ll let you know if you’re a good fit or not for our product. Either way, you will get tons of value from a simple 30 minute call.

--

--

Lucia Protocol
Lucia Protocol

Written by Lucia Protocol

Lucia Protocol is a non-custodial lending and borrowing platform aimed at providing frictionless credit access to both individuals and startup enterprises.

Responses (2)