The next digital art market won't be won by the best curation, the best chain, or the lowest fees.
It will be won by whoever figures out why collectors leave and builds to make them stay.
That's the only problem worth solving right now.
We've been tracking all of this for 8 weeks.
- Real artworks.
- Real market mechanics.
- Real decisions with simulated capital.
Every hesitation, revisit, hold, and exit is measured.
What we found isn't flattering for how this space is being built.
https://t.co/RtiFzoZC3b โ closed testing is active.
And platforms are worsening it.
They optimise for fast conversions. Quick buy, quick sell, next user.
But the collectors who hesitate longest, revisit the most, and take the most convincing ones are your best users.
You're optimising them out.
@leonabboud If there one thing I know about you, you will definitely find the spot that makes it work and then double down then turn into the most paid DJ in web3 then conquer other spaces.
Cheers Your Beastfulness.
Yesterday was my Birthday, donโt know why X didnโt give me the ballonโs but today is Easter Sunday - Thankfully Iโm growing and the Grace is sufficient enough for massive expansion.
Iโm expanding too, like literally๐
I built the first version of Gally in a single HTML file while embedded at a mining operation in Abuja.
This is not the story of how things began as I expected.
The data is uncomfortable for anyone building in this space on assumptions.
It's also exactly what the next generation of digital ownership markets needs to exist.
https://t.co/eqCC247BJ3 closed testing; no wallet required.
So I built a controlled environment to measure it.
Curated artworks.
Simulated capital. Real decisions. Every hesitation tracked.
8 weeks of data later, I understand how digital collectors actually behave. Not how they say they behave.
That's a lot of work: 34,000 lines in 5 days.
It's exactly appropriate to focus on the viewer experience instead of just the sale page.
The missing layer is still behavioural, knowing which collectors spent three minutes on a piece before leaving, which ones came back twice, and what stopped them from pulling the trigger.
That's what we're making at https://t.co/RtiFzoZC3b. The data that led to the choice.