The other day a small DTC founder DM d me:
Revenue looks fine on Shopify, but every month I stare at the numbers and still don t know if I actually made money.
He sent me 2 files:
Shopify Orders CSV
His own COGS spreadsheet (SKU, unit cost)
His routine looked very familiar:
Print Shopify revenue
Open 2 3 Excel files
Manually subtract COGS, ad spend, shipping, random fees
Stay up late, end up with a profit number he doesn t really trust
I asked him to try Okiela the way it is today:
Upload the Shopify Orders CSV
Import his COGS sheet
Add a few big cost buckets (ads, payroll, apps)
Maybe 30 seconds later, the dashboard showed:
The SKUs that are actually paying the bills
Two best sellers that are basically breakeven once all costs are in
A bunch of small fees adding up to a bit over 10% of revenue
He opened the AI chat on the side and asked:
What should I fix first?
The AI didn t give a TED talk.
It just said things like:
These SKUs can handle a small price increase
This one has been unprofitable for 3 months even with decent ROAS
Shipping to these regions is way more expensive than the rest
His reply was: I don t need another shiny dashboard. I just need something that tells me what s feeding me and what s bleeding me.
That s pretty much what Okiela does right now.
Nothing fancy:
Take your Shopify Orders export
Add COGS and a few main costs
Show you SKU level profit and a couple of straightforward moves
The bigger stuff is still in the oven, so I d rather earn trust with this first.
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#buildinpublic #analytics #data #shopify #ecommerce #saas #solofounder #okiela
*(Note: illustrative image)

Hey Everyone

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It s still evolving, and I d really appreciate your feedback, suggestions, or even criticism.

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