Grow ad-driven sales only where they stay profitable.

Omnigral Growth Engine plans, launches and optimises Google Ads and Google Merchant Center against your product economics: contribution after advertising, not ROAS alone.

“A sale that does not meet your profitability policy is not a success.”

The principle behind the engine
Every decision runs through the same loop.
  1. EconomicsContribution per product, market and channel
  2. DecisionA policy state for each product and campaign
  3. ExecutionFeeds, creatives, campaigns
  4. MeasurementContribution, state and data quality

Contribution after advertising

1

How it works

Nothing reaches your ad accounts without passing the policy and a human approval.

  1. Economics

    Orders, costs, fees, shipping and returns are pulled from your ERP and turned into contribution after advertising per product, market and channel.

  2. Policy

    You set target contribution per market, product group and channel. Every product and campaign receives a policy state.

  3. Feeds and creatives

    Merchant Center feeds are built per market and language. Briefs and ad copy go through native-speaker review.

  4. Campaigns

    Campaigns are built from templates, replicated across markets, checked against the policy and Google’s validation, and published paused.

  5. Measurement

    The dashboard shows contribution after ads, policy state and data quality, and flags campaigns that drift from the policy.

2

Profitability policy

Contribution after advertising is compared with the targets you set. The state decides what the engine may propose next.

Decisions wait until data is mature. Conversion delay and the return window are taken into account, so a state does not change on sales that may still be returned.
StateWhenWhat the engine proposes
SCALEWhenContribution after advertising is at or above target, on mature data.What the engine proposesMore budget and reach, subject to approval.
HOLD / TESTWhenClose to target, or results are mixed.What the engine proposesKeep spend stable and test controlled changes.
REDUCEWhenContribution is below target but above break-even.What the engine proposesLower bids and budget, narrow targeting.
STOPWhenBelow break-even: advertising makes the product or campaign unprofitable.What the engine proposesExclude from feeds and pause advertising.
LEARNINGWhenNew products and campaigns without enough data yet.What the engine proposesRun within a fixed budget and time limit until a state can be assigned.

3

Available at launch

Private product economics
Pulls orders, costs, fees, shipping and returns from your ERP and computes contribution after advertising per product, market and channel. Cost and margin data are kept separately for each client and are never sent to ad platforms or AI providers.
Profitability policy
You define target contribution per market, product group and channel. Every product and campaign gets a state: SCALE, HOLD / TEST, REDUCE or STOP, plus a LEARNING phase with a budget and time limit for new products and campaigns.
Product feeds
Builds Merchant Center feeds per market and language from your catalogue, with custom labels for season, price band and lifecycle. Excludes products that don’t meet the policy and shows feed errors in a data-quality view.
Research
Keyword and demand research per market and language, matched to the products in your catalogue.
Creative Studio
Creative briefs and AI-assisted ad copy per market and language. A native-speaker language review is mandatory before anything is published.
Campaign Studio
Builds campaigns from templates and replicates them across markets. Every change is checked against the policy and Google’s validation, and new campaigns are published paused for human approval. A full audit trail records who changed what.
Profitability dashboard
Contribution after advertising, policy state and data quality per market and channel, with alerts when campaigns drift from the policy.
Safety
A kill switch pauses all managed campaigns per market or globally. Any change that affects spend requires human approval.

4

Your data stays yours

Your cost and margin data are kept in Omnigral, separated from every other client, and used only to compute your profitability. Ad platforms receive only what is needed to run the campaigns you approve.

Your companyKept in Omnigral, separated per client

  • Orders and returns from your ERP
  • Product costs, fees and shipping
  • Margins and contribution after advertising
  • Profitability policy and targets

Google Ads and Merchant CenterSent after your approval

  • Product feeds and custom labels
  • Campaign structure, bids and budgets
  • Ad copy that passed language review

Cost and margin data are never sent to ad platforms or to AI providers, and never shown to other clients.

5

Who it is for

European multichannel e-commerce

Companies selling through their own shop and Google today, and Amazon and Allegro later, that want to scale ad-driven sales on unit economics rather than ROAS alone.

Finance teams and performance marketers can both see why a campaign is growing, holding or being cut back.

A managed service

Omnigral Growth Engine is delivered as a managed service under an agreement, not as self-service SaaS. There is no public sign-up: your team gets access to the panel by invitation.

We connect your data, set up the policy with you and operate the engine. Changes that affect spend are approved by your team.

6

Roadmap

In development. Not available yet.

Effectiveness loopRoadmap
Each recommendation is measured by its impact on contribution, using holdout groups.
Recommendations inbox and more campaign typesRoadmap
One place to review, approve or reject proposed changes, and support for additional campaign types.
Amazon and AllegroRoadmap
The same economics model and policy applied to Amazon and Allegro.

7

How we use Google data

  • With the account owner’s authorisation, Omnigral Growth Engine reads and manages the Google Ads accounts the owner links, including creating and changing campaigns after approval by the owner’s team.
  • It reads and manages product data and data sources in the Merchant Center accounts the owner links.
  • We use that data only to provide these features to that owner. We do not sell it and do not use it for advertising.

Details are in our Privacy Policy.

8

Contact

Tell us about your shop, markets and channels. We reply by email.

Talk to us