Ask your business a question.
Get an answer that’s actually true.
I build the data foundation and agent layer for ecommerce brands: one system, running in your cloud, that answers the questions your dashboards can’t and raises its hand when something’s wrong.
SKU PEPTD-DLX · worst offending campaigns
US | B0XXXXXX | SP | EXA | rosemaryP&L −$3,721.83
CA | B0XXXXXX | SP | BRD | collagenP&L −$1,283.23
For SKU ALG1328, what keywords do we beat the market conversion rate on but don’t rank in the top 10?
The following keywords do not get enough impressions even with a good conversion rate:
Hydrating Shampoo+3.52% CVR rank 17
… 6 more in the thread
Hyaluronic Acid+0.75% CVR rank 33
01 /The problem
You already run a profit dashboard. It shows yesterday’s margin per SKU, pings you when stock runs low, emails you when a listing breaks. Fine. Keep it.
The problem starts when you have an actual question. Which keywords deserve more money? Why is that campaign bleeding? What do the returns say about the product? Those answers live scattered across Seller Central, the ads console, search query reports, Keepa, and your cost sheet. No dashboard joins them, so the analysis falls on you. At 11pm. In five tabs.
02 /Talk to your data
One data warehouse. Every channel. Plain English.
Everything lands in one reconciled warehouse: orders, fees, ads, ranks, search queries, returns, inventory, costs. Then you ask wherever your team already talks, the way you’d ask an analyst:
- Which keywords do we beat the market on but rank too low to matter?
- Which campaigns are underperforming, and what changed?
- Where are we bidding more than our conversion rate supports?
- Which campaigns run far above their target ACOS?
- Read the return comments. Why do people actually send this back?
No tool has a tab for these, because no tool holds your whole picture. That is the point of the warehouse.
03 /What it finds
The system doesn’t wait to be asked. A sample of what it raises on its own:
- Keywords where you beat the market and nobody sees you Above-category conversion, near-zero impression share.
- Campaigns spending against their own numbers Actual ACOS far off target, bids above what the conversion rate supports.
- Ad spend with nothing to show for it Search terms burning budget at zero orders.
- Which SKUs lose money on every unit Real product cost, fees, ad spend and storage, date-matched per SKU.
- Fee changes Amazon made without telling you Size-tier re-measurements that quietly reset your unit margin.
- Listings that changed when you weren’t looking Suppressions, buy box losses, silent content edits, expired coupons.
Your dashboard already pings you about a couple of these. The difference is that here, you can answer back. Ask why, ask what it costs, ask what to do next. Every finding arrives with a dollar figure, a recommended action, and the evidence behind it. And this is a sample, not a menu. The build is shaped to your catalog, your channels, your questions.
3 findings overnight · $2,114 at stake
1 kw opportunity · hydrating shampoo · CVR 2.0x market · impr share 1.2%
draft SP campaign ready approvesnooze 30d
2 fee change · ALG1328 · size tier re-measured · −$1.42/unit dispute drafted
3 listing · PEPTD-DLX · coupon expired overnight · CVR −38% vs 7d fix ready
reply to any line to open the thread
A morning digest, as it lands in Slack. Every line is a thread you can open.
04 /Not a dashboard
This is not a dashboard you log into.
Keep your profit dashboard if you love it. This sits above it, not instead of it. Software makes you conform to it. This conforms to you: your SP-API and Ads credentials, your Keepa account, your rank tracker, your BigQuery tables, your 3PL invoices, your cost sheet, and the platform you use to communicate with your employees. It runs in your cloud, on your accounts, shaped around how your business actually operates. Your data never sits with me, and offboarding is revoking a key. When Amazon changes something underneath it (and it will), I fix it.
05 /How far it goes is your call
It starts by watching and telling you. From there it can draft the fix, execute with your approval, or run whole loops end to end inside limits you set. Most people start at watching. Nobody has to stay there.
- watchit finds and tells you, with evidence
- draftit prepares the fix: the negative list, the reprice, the restock PO
- approveit executes, behind your yes
- runit operates end to end inside guardrails you set
06 /Fit
Worth a conversation
- You own a brand and sell real volume. Amazon-first, Shopify, or both
- You have people. What you don’t have is data you trust
- You’ve bought tools and still do the reconciling yourself
- You can tell me your landed cost per SKU
Probably not
- Your dashboard already answers every question you have. If that’s true, keep it
- You have an in-house data team already
- You want it built once and left alone. Amazon changes too often for that
- You’re looking for the cheapest version of this
07 /Who’s behind it
Ramon Gonzalez
Eleven years in ecommerce: retail arbitrage, then wholesale, then brands of my own. I built this system to run my own business, because nothing on the market did what I needed. It watches my listings, my ads, my inventory, and my books, and it runs whether I’m at my desk or not. I’m not a vendor who learned this from the outside. I operate the same system I’ll build for you.
08 /Talk
A handful of clients, deliberately. If any of this sounds like your Monday morning, tell me about your brand. I read every submission myself. If it looks like a fit, you get a calendar link, not a drip sequence.