For e‑commerce managers

You open one view over coffee.
And you already know everything.

No more logging in to five panels every morning. No more manual copying before the board meeting. The data is there, and it is consistent.

Connect your data in one day See how it works
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No IT
14 days free
An ordinary Monday, 9:12
Shopify Admin
Google Analytics
Google Ads
Meta Business
Marketplace
Yesterday’s sales: €3,580 vs €3,467.50 vs €3,235
Monday dashboard
All sources · consistent
Yesterday’s sales
€3,580
+8.2% w/w
Orders
147
+12 w/w
Top channel
Marketplace
+24%
Needs attention
Meta Sale Q2
margin falling
All in the time it takes to drink a coffee. 14 hours this month that you did not spend in Excel.

Instead of managing, you stitch data together.
10–20 hours a month go into Excel.

Monday morning, five browser tabs, three different sales figures. A question from the board: why does Google show something different from Meta? Half an hour explaining that it is a different attribution model, instead of half an hour of real work.

Friday afternoon. The weekly report. Export, copy, merge columns, format, chart. Three hours, and nobody reads the result in detail. That is not management work. That is an Excel tax.

A strategy manager costs €3,000–4,500 a month. So does a manager who copies cells.

It doesn’t add up again
X Weekly_Report_v7_FINAL_final2.xlsx
Edited by you · 2h ago
FileEditViewInsertFormatData
F12 fx =VLOOKUP(B12;'Meta_export'!A:F;5;0)+'GA4_dump'!E12-'Marketplace_pivot'!C12
ABCDEF
10Marketplace4,2103,9804,1203,8904,050
11Meta2,140#REF!2,080#REF!1,970
12Google1,8701,9201,8401,780#REF!
13Total#N/A#N/A#N/A#N/A#N/A
Board meeting in 22 minutes. The total in F13 still shows an error because the Meta export renamed its columns.
What you get

No more pointless busywork.
The data gathers itself. You manage.

On the right is a concrete picture of your Monday after rolling out DataOrganizer. No spreadsheets, no Meta vs Google, no explaining.

Until now: 5 panels, 3 hours

What you have now

Five tabs every morning. Three different sales figures. Half an hour before you know which number to give your boss.
Every weekly report means export, copy-paste, formulas, chart. The same every week. Every week the same file falls apart.
A question from the owner in the middle of the day: “how much did we sell in this category last quarter?” Everything stops, everyone starts searching.
When you finally sit down to work on strategy, it is 5 pm on Friday and your head is empty.
With DataOrganizer: one window, 5 minutes

What you get on day one

One dashboard. All sources. Consistent numbers. One look and you know how the shop is doing and which channel needs your attention today.
The weekly report builds itself. You send a link, not a PDF. Nobody comes back asking “could you add one more column here?”
The owner asks the AI assistant directly and gets the answer. No more ad‑hoc calls to you.
You win back 10–20 hours a month. They go where they belong: strategy, product categories and the people on your team.
AI assistant · in plain English

Everyone in the company asks for themselves.
You stop being the on-demand report person.

The AI assistant takes over ad‑hoc questions from the owner, marketing and the sales team. You ask in plain English and get an answer in 5 seconds. The same data as the dashboard. One source of truth.

No SQL, no Looker, no new report built for every question.
The owner asks directly. Marketing asks directly. You do deeper work instead of handling requests.
Every answer comes from the same data as the dashboard. No more arguments that “I’m seeing a different number”.
AI assistant
online
Which products with a margin above 30% stopped selling last week?
Comparing the last 7 days with the previous 7 days. Products with a margin >30% where sales fell by more than 40%:
Trekking Backpack 40L
−68%
Trail XR2 Shoes
−54%
Storm 3-in-1 Jacket
−47%
Pro 800lm Headlamp
−43%
All four share the same Google Ads campaign, which was paused 9 days ago. Worth checking.
Prepare a quick summary for the weekly report.
Last week the shop generated €62,080 in revenue (+12% w/w) from 1,410 orders. Fastest-growing channel: marketplaces (+24%). Needs attention: the “outdoor” category after the Google campaign was paused. Pasting the link to the full report.
Top 10 products by sales
Compare channels vs last week
What’s rising, what’s falling
Ask about your results…
Setup

No developer.
No queue in the IT department.

You connect the sources yourself and start working yourself. Your first dashboard with your data is ready the same day.

1

Create an account

Email, password, shop name. You are in straight away: no sales call, no demo, no contract to sign.

2 min
2

Connect sources

Click “Connect” next to Shopify, your marketplaces, Meta and Google Ads. Log in through your browser. No API keys, no configuration file, no waiting for an admin.

15 min
3

You manage

Your first dashboard with your historical data is ready. On Monday you open one window instead of five. You spend the rest of your time on what you were hired to do.

The rest the same day

In e‑commerce, an IT queue is the norm. Here there isn’t one.

You don’t wait for the pipeline person. You don’t explain to an analyst what you need. You don’t get “next sprint” as an answer. You open it, click, and it works. That is how it should be.

We connect everything you use
WooCommerce
IdoSell
Shopify
PrestaShop
Magento
Shoper
Sky-Shop
Redcart
Marketplace
Google Analytics
Google Ads
Meta
TikTok
Criteo
TradeTracker
Missing something? Tell us and we’ll add it.
Managers’ questions

The doubts we hear most often

I already have my spreadsheets and I manage fine. Why change?
Because the question is not whether you manage. The question is how many hours a week it takes and what you would do with that time instead: strategy. Most managers we talk to hand over 10–20 hours a month of this work, and are then glad they no longer have to do it.
What about the differences between Google and Meta? Is it some kind of magic?
No magic, just one consistent data model. We pull each source directly from its API, normalise it to a single format and show the sources side by side, clearly labelling where each number comes from. No more explaining that it is a different attribution. They are simply different paths to the same sale, visible in one place.
I have IT and an analyst. Will this replace them?
Quite the opposite: you give them time back. The analyst stops producing on-demand reports and starts doing deeper work. IT stops getting “help me export this from Meta” requests. Everyone does what they should, instead of servicing each other.
Really set up in one day? And historical data?
Yes. Click “Connect” next to each source, log in through your browser, done. We pull historical data automatically, as many months back as the given API allows. You see your first dashboard with your numbers the same day, not after a 6-week “implementation project”.
What about security? The board will ask.
Each shop has its own separate database. We host on Google Cloud (the same infrastructure as YouTube). Data is encrypted at rest and in transit. We do not use your data to train anyone’s AI. You can delete your account and all your data with one click.
What if I don’t like it?
The first 14 days are free, no card required. If after that you decide it isn’t helping you, you simply don’t continue. No contracts, no notice period, no “please call us to cancel”.

Switch off Excel. Switch on DataOrganizer.

Connect your data in a single day. No IT, no developer, no implementation project. 14 days free, no card required.

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