Kerman Kohli

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ARCx Analytics (beta)
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ARCx Analytics (beta)

A sneak peak into what we’re working on

Kerman Kohli
Jan 18
5
Share this post
ARCx Analytics (beta)
kermankohli.substack.com

Ever since we took the token private a few months ago, at ARCx we’ve been pretty heads down building a new product that I’m now excited to start sharing some details about — ARCx Analytics.

What is it? In essence, a way for dApps to understand who their users are and eventually, how to acquire more of them through making sense of disparate datasets (off-chain and on-chain). Think of it as a Web3 native version of Mixpanel/Google Analytics — except it’s way more crypto native and we preserve user privacy (no IP address tracking <3). It takes 1 line of code to install and is completely free to use.

You can read more about it in the Tweet thread below:

Twitter avatar for @arcxmoney
ARCx ノ @arcxmoney
🧠 Ready to understand your users like never before? 📣 Introducing ARCx Analytics! Providing you valuable insights into user behaviour and preferences, on-chain activity, campaign performance, and more. Get Onboarded 👉 arcx.money
Image
8:51 PM ∙ Jan 18, 2023
2Likes1Retweet

So how did we end up here from credit scoring? While it might sound a bit different from the outset, it isn’t too different on the inside. For the past ~1.5 years, we’ve built some unique technology that lets us understand users and what they’re doing (through credit scoring and other various scores we’ve released through the DeFi Passport). What we release after speaking with numerous DAOs and dApps is that this capability would be super helpful in understanding their users and making use of data to inform product, marketing and growth decisions.

Some common, yet easy to answer questions we’ve been able to help answer:

  • Which marketing channels are my highest net-worth users coming from and how do I acquire more of them?

  • How many real users do I have (excluding wallet double counting)?

  • What is my conversion rate from Page Visit → Transaction segmented by different cohorts in my application?

  • Which segment of my users have the strongest retention rates?

We started testing this thesis almost 6 months ago and since then the traction and feedback has validated the pain-point we hypothesised. We’re going to be releasing and sharing a lot more about this over the coming weeks so if you’re interested in being part of the next wave of dApps that would like to get involved — reach out to me :)

If you want to get On-boarded to ARCx Analytics, you can do so here: https://arcx.money/

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