ROASThe cost of each channel next to store sales

How much doyour ads reallysell?

Google says 50k, Meta 40k, and the store sold 60k. Every ad platform claims orders for itself, so together they show more than the store actually sold. DataOrganizer puts costs from Google Ads, Meta and TikTok next to store orders, without joining spreadsheets.

No credit cardConnect it yourself, no implementationData refreshed daily

21-27 September, according to the platformseach counts its own way
  1. AdGoogle Ads€50,000
  2. MeMeta Ads€40,000
  3. TtTikTok Ads€3,600
Total according to the platforms€93,600
The store sold€60,000
In DataOrganizer you count from orders€60,000 of store revenue on €20,000 of spend: MER 3.00. Next to it you see what each platform reports.

How we calculate it

Sales from the store, channel from GA4,cost from the ad platform

Each source tells you what it knows best. The store knows how much it really sold. Google Analytics 4 knows where the customer came from. The ad platform knows what the campaign cost.

1

Store

Order value

Revenue from orders with the statuses you count. Cancelled orders are excluded.

  • WooCommerce
  • PrestaShop
  • IdoSell
  • Shoper
  • Magento
2

Google Analytics 4

Order channel

The traffic source the customer came from: a Google, Meta or TikTok campaign, or an organic visit.

  • source / medium
  • campaign
  • sessions
3

Ad platforms

Cost

Spend from Google Ads, Meta Ads and TikTok Ads, day by day, in one currency.

  • Google Ads
  • Meta Ads
  • TikTok Ads

In DataOrganizer

Cost and sales side by side

  • Store revenuefrom orders
  • Ad spendfrom the platforms
  • MER€ of revenue per €1 of ads
  • Ad cost per orderfrom store orders

Channel attribution is only as good as the data in GA4. When campaigns have correct UTM tags, traffic sources are clearer.

This is how it looks in the app

Cost next to store sales.You open the Marketing card.

A sample store, week of 21-27 September 2026: spend from three platforms, store revenue and MER, and below it what each platform reports about itself.

  1. Spend next to store revenuePlatform spend and order revenue in one row. MER tells you how many euros of revenue €1 of ads brings in.
  2. Day by dayEach platform’s cost in bars, MER as a line. You see what happens to the result when you change the budget.
  3. Funnel by platformImpressions, clicks and purchases for each platform side by side, with click conversion.
  4. Platform comparisonROAS, purchases and cost per purchase according to each platform’s data. We only add up spend.

Platforms combined: €93,600. Store: €60,000. DataOrganizer only adds up spend.

Budget decisions

Where to add, where to cut

You get the data for the decision without joining costs and revenue in a spreadsheet. DataOrganizer changes nothing in your ad accounts: you make the decision, based on store numbers.

Add

Google Ads

ROAS 5.10 according to the platform and the lowest cost per purchase, €15.31. When you add budget, you check whether the store’s MER goes up with it.

Check

Meta Ads

41% of the budget, and ROAS fell by 2.4%. Break the result down by campaign and see which ones drag it down.

Cut

TikTok Ads

Spend rose by 33%, and ROAS according to the platform is 1.80 at a cost per purchase of €44.44. Next to it you have the store’s MER day by day, so you see whether the extra budget changed anything.

AI Assistant

Which campaigns should I switch off?

A ready-made task: low ROAS and high cost, a list for a quick decision. Ask in plain language and get the answer on your own data.

Numbers from the mock-up above, on sample data.

How it works

Three steps. Only the first one needs you.

  1. 1Once, at the start

    You connect your sources

    You connect your store, Google Analytics 4 and ad platforms yourself: with an API key from the store or by signing in to your Google, Meta or TikTok account. Access is read-only.

  2. 2Daily, without you

    DataOrganizer syncs the data

    Once a day it pulls new orders, traffic and campaign costs, joins them and recalculates the metrics. You export nothing and join nothing.

  3. 3Whenever you like

    Work wherever you prefer

    In ready-made dashboards, with the AI Assistant in the app or in your own AI chat via MCP.

    DashboardsAI AssistantMCP

Who it’s for

For the campaign person and the owner

Campaign and PPC specialist

ROAS without joining spreadsheets

Today: you join Google Ads and Meta Ads costs with store revenue in a spreadsheet to work out ROAS, because platform conversions don’t match orders.

  • Costs next to sales. Google, Meta and TikTok next to store orders.
  • Campaigns and orders already joined. No exporting and no joining files.
  • Each platform separately. ROAS, purchases and cost per purchase according to its data, broken down by campaign.
  • Data for the report. Download the table as CSV or load it into Google Sheets.
Store owner

Know where to move the budget

Today: you wonder whether to move budget between Google Ads, Meta Ads and TikTok Ads, and every platform claims it sells best.

  • Channels compared on store sales. Store revenue per €1 of ads, day by day.
  • What one order costs. Ad cost per order, calculated from store orders.
  • Ask in plain language. The AI Assistant points out campaigns with low ROAS and high cost.
  • No implementation. Connect it yourself, and the data refreshes daily.

Integrations

Connect your store and every platform you pay for traffic on

Store platforms

  • WoWooCommerce
  • PsPrestaShop
  • MgMagento 2
  • IdIdoSell
  • ShShoper
  • SkSky-Shop
  • RcRedCart

Analytics, ads and affiliate

  • GAGoogle Analytics 4
  • AdGoogle Ads
  • MeMeta Ads
  • TtTikTok Ads
  • CrCriteo
  • TTTradeTracker

Google

  • MCMerchant Center
  • SCSearch Console

Can’t see your platform? Write to contact@dataorganizer.io.

See how muchyour ads really bring in

Connect your store, Google Analytics 4 and ad platforms. For 14 days you get everything free, with no credit card.

14 daysfree,
no credit card

  • Every feature: cards, AI Assistant, MCP and exports
  • Google, Meta and TikTok campaigns next to store sales
  • Data refreshed once a day, no exports