/ 01 E-Commerce Intelligence Platform /
Your Intelligence Platform / Built for DTC Brands.
/ Stop guessing.
/ Stop guessing.
/ Stop guessing.
/ Stop guessing.
/ Stop guessing.
/ Stop guessing.
/ Stop guessing.
/ Stop guessing.
/ Stop guessing.
/ Stop guessing.
Four dashboards / four answers.
Four dashboards / four answers.
Four dashboards / four answers.
Four dashboards / four answers.
Four dashboards / four answers.
Four dashboards / four answers.
Four dashboards / four answers.
Four dashboards / four answers.
Four dashboards / four answers.
Four dashboards / four answers.
"We have four portals and four versions of the truth. Someone builds a spreadsheet by hand every week, and nobody fully trusts it."
...a familiar story
"
Shopify says one thing, Amazon says another, Meta says a third, and Google wants the credit. I can’t tell which number is right.
Someone builds the weekly report by hand. It takes half a day, and every week we argue about whether it’s correct.
We bought the dashboards. A few months later everyone went back to Excel because they trust it more.
Every new tool adds another bill. As we scale, I can’t say what any of it is actually returning.
Each platform reports its own wins. I don’t know how much of that is real, and I can’t prove it either way.
By the time the report is ready, the question has changed. We’re always looking backward.
Our one data person is buried. If they leave, nobody knows how the numbers are built.
Marketing, e-commerce and finance all ask me for numbers, and I keep sending them to the same overloaded person.
Shopify, Amazon and the ad platforms never match. Nobody has decided which one wins, so every meeting starts with that argument.
We built a report, sent it around, and checked a month later. Almost nobody had opened it.
Senior data talent is expensive and hard to find, and we can’t wait around for a new hire to ramp up.
We paid for a data project once. It looked great in the demo and nobody on the team could keep it running.
We know what our reviews and competitors say, but it sits in different tools from our sales data, so we never connect the two.
I’d like to ask what drove last month’s dip, but the answer depends on which dashboard I open.
Email, ads, store and marketplaces all keep their own version of the customer. Joining them is a project every time.
We have more data than ever and fewer clear answers. Every export needs cleaning before anyone can use it.
We tried pointing an AI tool at our exports. It answered fast, but I couldn’t tell where the number came from.
We want to run this ourselves. We just don’t know where to start on the data side.
"The real problem isn't a lack of data. It's that I can't trust any of it, I can't hire a data team fast enough, and I still have to make decisions every week."
...a familiar story
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One platform, four layers: data foundation, market intelligence, your first-party data and a Claude plugin for your team. Each layer feeds the next.
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