What Is Criteo? Products, How It Works, and Setup Requirements

May 25, 2026

Author: Shusaku Yosa

Criteo is a commerce media company whose services use shopping and product-interest data. Although associated with dynamic retargeting, its offering also covers customer acquisition, retail media and monetization for retailers and media owners.

Start by identifying your role: are you buying advertising or monetizing inventory? Then define the business outcome, available data and people responsible for maintaining the setup.

Which Criteo product serves which purpose?

Product	Main purpose
Commerce Growth	Customer acquisition and retention for advertisers and agencies
Commerce Max	Buying commerce media for brands and other advertisers
Commerce Grid	Supply-side inventory infrastructure
Commerce Yield	Advertising monetization for retailers and marketplaces

These broad roles follow Criteo’s platform overview. Inventory, interfaces and commercial terms vary by product and contract. The rest of this guide focuses on an advertiser selling products through its own website.

Understand the feed-to-event relationship

A dynamic product campaign needs reliable product information and a way to associate relevant site activity with the correct products. A tag firing is not sufficient evidence that this relationship works. A mismatch between variant IDs and parent-product IDs, for example, may prevent the intended association.

Check	What to reconcile	Typical failure
Product IDs	Feed IDs and event IDs	Variants mapped to the wrong parent
Price and currency	Feed, site and update time	Expired sale prices
Availability	Stock and discontinued items	Advertising an unavailable product
URLs and images	Reachable, matching product pages	Redirecting to an unrelated category
Purchase events	Order ID, value and cancellation rules	Duplicate purchase on page reload
Consent and exclusions	Applicable purpose and audience restrictions	Suppressed records re-entering elsewhere

This is an implementation review, not a universal feed specification. Use the requirements for your selected product when defining fields and event payloads.

Define the launch conditions

Choose one initial objective: acquiring new buyers, encouraging repeat purchases or helping recent visitors return. Agree on revenue, order and margin definitions, including returns. Assign an owner to the feed, site measurement and consent workflow.

Budget separately for media, creative, campaign management and data preparation. Do not treat an old published minimum spend or traffic threshold as a current eligibility rule. Confirm the relevant product, market and contract with Criteo. Likewise, there is no universal number of days after which learning is guaranteed to be complete.

Before launch, run a permitted test order and verify product identity, value, duplicate prevention and exclusions. Name the person who can pause delivery if data becomes unreliable.

Reported ROAS is not incremental revenue

For a fictional example, spending JPY 200,000 and receiving JPY 800,000 of platform-attributed revenue produces a reported ROAS of 400%. The yen amounts illustrate a Japan-based campaign; they are not a recommended budget.

That revenue is not necessarily the amount caused by advertising. Some customers may already have intended to buy or may also have interacted with other channels.

Evidence	What it supports	Remaining question
Platform ROAS	Results under that platform’s attribution rules	Click/view windows and overlap
First-party orders and margin	Overall commercial performance	Returns, costs and customer mix
Controlled comparison	An estimate of incremental impact	Design, bias and sufficient observation

Avoid adding conversions reported by different platforms. Reconcile what you can using first-party order records and document what cannot be reconciled. Differences from GA4 can also reflect attribution and coverage, not only implementation errors.

Review operations before optimizing outcomes

Early reviews should prioritize feed errors, ID consistency, destinations, duplicate events and stock updates. Once measurement is stable, examine product groups, customer acquisition versus repeat purchasing and margin after costs.

Keep a change log containing the date, products, budget, expected effect and review date. A case-study result is not a forecast for your account. The useful decision is whether your own evidence supports continuing, changing or stopping the campaign.

Review your results consistently

For ongoing data aggregation, comparison and reporting, review NeX-Ray’s integrations and features. Check the plan requirements for your analysis, then start for free.