I had a gut feeling Stripe's pricing table was killing my conversions and revenue but now I have proof
That blue rocket line is my own homemade newly deployed pricing table
Pic 1: revenue growth
Pic 2: my homemade new pricing table with $24/mo billed annually as $299/year for ex
Pic 3: Stripe's pricing table with $299/year only (unclear)
Blue spikes is yearly sales, before there was not as many yearly sales because people couldn't math the yearly price discount in their head ($24/mo billed annually instead of $299/year), a basic feature that Stripe never shipped
So I highly recommend against anyone using their pricing tables if you like money
One final problem still not solved is that clicking the $24/mo billed annually $299 will still get you to a Stripe Checkout Page that does not show $24/mo billed annually
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So last year @Wayfair, an $8B company, launched their own AI interior design tool
This week someone at Wayfair asked me to cancel their subscription of , which is my AI interior design tool launched 2 years ago
I was confused why would they sign up to it if they have their own? Well, because they signed up to it before they had their own and used it to build their version of it! 😂
They had 8 different accounts on Interior AI that ran for months 🤯
I learnt a bit about competitive spying today!
Told ya the big companies were checking what indie hackers did, that was my entire point when I said "indie hacking is dead", we're part of the big market now where billion dollar companies are INSIDE our apps!InteriorAI.com
If I did competitive spying I'd at least use a different domain name though, not my own company @wayfair.com
P.S. it's all good, I think it's even legal, just kinda funny a big billion dollar company is INSIDE MY APPS!
I test parameters on Photo AI on a % of photos taken
Then I check what % of photos are ❤️ favorited
Based on that I can figure out what parameters is better on 700,000 photos taken per month
But sometimes you get 1 or 2 users ❤️ favoriting lots of photos with one specific parameter which affects the data and makes one parameter choice come out as a winner when actually it's just a few users doing it
Any stat solution for this?
Right now my SQL is smth like this
SELECT upscale_strength,count(upscale_strength) as cnt FROM photos WHERE upscale_strength IS NOT NULL AND (saved IS NOT NULL) GROUP BY upscale_strength ORDER BY cnt DESC LIMIT 10
I can add count(distinct(user_id)) for ex:
SELECT upscale_strength,count(upscale_strength) as cnt,count(distinct(user_id)) FROM photos WHERE (saved IS NOT NULL) GROUP BY upscale_strength ORDER BY cnt DESC LIMIT 10
And inb4 it’s about tax, surely it is but more so I think is how easy it is to do business which means easy bookkeeping and more time to focus on product/biz
See also crypto companies moving there
Not saying it’s all roses but interesting
Similarly how Miami in perception changed in US from 10 years ago as a joke to now a pro startup place