A pair of sneakers can follow you from an online store to a news website without that store buying ad space directly from the publisher. Advertising technology connects those dots, and Criteo is one of the companies behind it. If you have searched for “what does criteo do”, the short answer is that it helps businesses buy, sell, and improve digital advertising tied to shopping. However, those familiar product ads explain only part of its business.
Criteo also helps brands advertise through retailers, helps retailers earn money from advertising, and helps media owners connect their ad space with buyers. For example, a grocery brand might use its technology to promote cereal on a retailer’s website or reach potential customers elsewhere online. Understanding these different roles helps you judge whether Criteo fits your marketing plan, what its reports actually prove, and how its ads use data. This guide explains the company, its products, campaign setup, pricing, privacy choices, and the questions worth asking before spending money.
Criteo’s Role in Commerce Advertising
Criteo is an advertising technology company that helps advertisers reach shoppers and helps retailers and publishers earn revenue from digital advertising. Its broader business centers on commerce media, which connects advertising with shopping signals and sales outcomes. A sporting goods store, for example, could use Criteo to advertise running shoes to eligible audiences across participating websites and apps. Criteo supplies advertising technology rather than operating the store, taking customer payments, or shipping the shoes.
The Businesses Criteo Connects
Advertisers use Criteo to pursue goals such as product sales, new customer acquisition, and repeat purchases. These advertisers can include online stores, consumer brands, and agencies that manage campaigns for multiple clients. For example, a cosmetics brand might want to reach shoppers who are likely to buy skincare products, even when those shoppers have never visited the brand’s own website. Criteo can help select audiences, advertising opportunities, and products to promote, subject to available data and campaign settings.
Retailers and publishers participate on the other side of the advertising market, although their roles differ. A grocery retailer may sell sponsored placements beside its search results and use its shopping data to support advertising measurement. A news publisher may offer display space around an article and earn money when advertisers buy those impressions. Criteo provides different tools for these businesses, so a retailer’s advertising program should not be confused with a publisher simply displaying ads.
| Participant | Main Goal | Example |
|---|---|---|
| Advertiser | Reach shoppers and generate business results | A footwear company promotes a new running shoe |
| Retailer | Sell advertising connected to its shopping environment | A supermarket offers sponsored product placements |
| Publisher | Earn revenue from website or app advertising space | A news site displays a product advertisement |
| Agency | Manage advertising for its clients | A media agency coordinates campaigns for several brands |
How Criteo Expanded Beyond Retargeting
Criteo began in Paris in 2005, founded by Jean-Baptiste Rudelle, Franck Le Ouay, and Romain Niccoli. Its early development centered on recommendation technology before performance display advertising became its best-known business. The company listed on Nasdaq in 2013, giving it a public-market history beyond that of a typical advertising startup. Those roots help explain why product recommendations and predicted shopping behavior remain central to its approach.
Two acquisitions help explain why describing Criteo as only a retargeting company is incomplete. Criteo acquired HookLogic in 2016, strengthening its position in advertising on retailer websites. It acquired Iponweb in 2022, expanding its technology for programmatic advertising, which uses software to buy and sell ad opportunities. These moves supported a broader commerce media business that serves advertisers, retailers, agencies, and media owners rather than just stores trying to bring visitors back.
What Criteo Offers Advertisers and Retailers
Choosing a Criteo service starts with the business problem, not the appearance of the ad. An online shoe store may want to recover abandoned purchases, while a shoe manufacturer may want better visibility inside a retailer’s search results. A publisher has a different need: earning more from advertising space without damaging the reading experience. Criteo has developed separate buying and monetization tools for these roles, and product names, packaging, and availability can change.
Performance Campaigns and Product Retargeting
Criteo Commerce Growth supports performance advertising for businesses seeking measurable customer activity. Retargeting is one familiar use: a visitor views a $120 jacket, leaves the store, and later sees an eligible ad featuring that jacket or related products. Dynamic creative means the system can build product-specific ads from a catalog rather than requiring a designer to create every variation manually. This can help stores manage advertising across hundreds or thousands of products, although accurate prices, images, and availability still matter.
Retargeting and prospecting address different audiences, even when their ads look similar. Retargeting aims to reconnect with people who have already interacted with a business, while prospecting seeks potential customers beyond that existing audience. For example, a furniture store might retarget recent sofa viewers while running a separate campaign to introduce its dining tables to new shoppers. Advertisers should define what counts as a new customer because a new browser, a new website visitor, and a first-time buyer are not the same thing.
Retail Media Buying and Inventory Monetization
Criteo Commerce Max serves brands and agencies buying retail media, while Commerce Yield focuses on helping retailers and marketplace operators monetize their commerce assets. Retail media can include onsite placements, such as sponsored cereal listings within a supermarket’s search results. It can also include offsite advertising that uses permitted retailer audience signals to reach shoppers on other websites or apps. Available placements, data access, measurement, and retailer participation depend on the specific agreement, so buyers should not assume every retailer offers the same options.
Criteo Commerce Grid addresses the supply side of programmatic advertising by connecting advertising inventory with buying demand. That role differs from Commerce Growth, which focuses on an advertiser’s campaign outcomes, and from the retailer-focused monetization role of Commerce Yield. A publisher evaluating Commerce Grid should ask about demand access, auction controls, reporting, and the effect on its existing advertising setup. A brand evaluating Commerce Max should instead focus on retailer coverage, campaign controls, product eligibility, and sales measurement.
- Ask which retailers, countries, and advertising formats the proposed product supports.
- Check whether reporting separates new customers from returning customers.
- Confirm whether your team, an agency, or Criteo will manage daily campaign work.
- Request details about budget controls, placement exclusions, and access to campaign data.
- Verify the current product description rather than relying on an old comparison article.
How a Criteo Campaign Works Step by Step
A typical Criteo campaign combines product information, permitted customer activity, advertising inventory, and a business goal. The exact setup differs between a retailer-sponsored product campaign and an online store’s display campaign. For example, a homeware store may need a product feed and website event integration, while a brand buying through a retailer may rely on that retailer’s catalog and sales reporting. In both cases, poor inputs can limit results even when the bidding technology works correctly.
Collecting Signals and Preparing Product Data
For many online store campaigns, implementation involves Criteo’s website tag, supported server integrations, or a combination of measurement methods. Events can describe actions such as viewing a product, adding an item to a basket, or completing an order, subject to permissions and the chosen setup. A store selling a blue sofa should pass a product identifier that matches the same sofa in its catalog. If the event reports one identifier and the feed uses another, the system may struggle to connect browsing activity with the correct product.
The product feed supplies details such as names, images, prices, landing pages, and stock status. Suppose a store discounts a lamp from $80 to $60 but fails to update its feed promptly. An outdated ad can frustrate shoppers, create a mismatch with the landing page, and waste paid traffic. Teams should also check currency, product variants, broken images, and unavailable items because these practical details influence both customer trust and campaign efficiency.
Choosing an Ad and Learning From Results
When an eligible advertising opportunity appears, Criteo’s systems can assess signals such as context, product interest, and predicted response. The technology may then select products, assemble an ad, and determine a bid based on the campaign objective and applicable auction rules. For example, a $120 product with a low purchase probability may justify a different bid from a $50 product that a shopper is much more likely to buy. Winning the auction still depends on competing advertisers, placement rules, and the publisher’s or retailer’s setup.
After delivery, campaign systems collect available information about impressions, clicks, and later outcomes. A purchase event can help the system learn, but missing permissions, cross-device activity, and reporting delays can leave gaps. If a customer clicks an ad on a phone and buys later on a laptop, the campaign may not always connect those actions. Advertisers therefore need reliable event testing and clear reporting definitions rather than assuming the dashboard captures every purchase perfectly.
- Document the campaign goal, permitted data flows, and responsible team members.
- Validate at least 10 sample products across prices, variants, images, and landing pages.
- Complete a test purchase and reconcile the reported event with the store’s order record.
- Set the intended locations, dates, budget limits, and product exclusions.
- Choose a review schedule that accounts for purchase delays and the campaign’s learning needs.
How Criteo Uses Data and Addresses Privacy
Criteo’s advertising relies on signals that help estimate which ads may interest a shopper and whether advertising led to measurable activity. Those signals can involve personal data under privacy law, even when they do not include a person’s plain-text name. For example, a browser identifier connected with repeated product views can support a profile of shopping interests. Seeing Criteo in a website’s network activity usually indicates an advertising integration, not proof that malware has infected your device.
The Signals Behind Personalization
Depending on the integration and applicable permissions, advertising signals can include product views, basket activity, purchases, device information, and advertising identifiers. Some arrangements also use hashed email addresses or other identifiers to connect permitted activity. Hashing changes the representation of an email address, but it does not automatically make the resulting data anonymous or remove legal obligations. A retailer evaluating such an integration should understand what leaves its systems, who receives it, how long each party keeps it, and which purposes the agreement permits.
First-party data describes information a business collects through its own relationship with customers, such as a supermarket’s order history. That label does not mean the business can share or reuse the information for any advertising purpose without restrictions. A customer buying oat milk may generate a useful shopping signal without requiring the advertiser to receive the customer’s full identity or complete purchase history. Criteo also does not need a shopper’s full credit card number simply to record that an advertising-related conversion occurred.
Consent, Browser Limits, and User Choices
The European Union’s General Data Protection Regulation has applied since 2018, and separate European cookie rules often require consent for nonessential advertising storage or access. Other regions impose their own notice, choice, and data-processing requirements, so a global campaign needs more than one generic privacy assumption. Safari and Firefox restrict many forms of cross-site tracking, while browser policies and technical support continue to evolve. Moving events to a server does not erase consent requirements, and hashing an identifier does not create a universal exemption from privacy law.
Consumers can review Criteo’s privacy information and use its available controls alongside website consent settings and browser or device options. Some choices apply to a particular browser, device, or identifier, so one action may not cover every place a person browses. For example, opting out on a laptop may not automatically carry over to an unrelated mobile browser. Reducing personalized advertising also does not necessarily remove all advertisements, delete every previously stored record, or affect advertising companies outside Criteo’s systems.
What Criteo Costs and How It Makes Money
Criteo earns money through advertising activity, technology services, and commercial arrangements that vary across its products. There is no single public price that accurately describes every advertiser campaign, retailer agreement, and publisher integration. A small store buying performance advertising faces a different arrangement from a retailer operating a sponsored product program. Buyers should request a proposal that clearly separates the budget, billing method, service scope, fees, and any minimum commitment.
Ad Spend, Fees, and Retailer Revenue
Advertising campaigns may involve cost-per-click or cost-per-thousand-impressions pricing, depending on the product and agreement. Cost per click means payment relates to clicks, while cost per thousand impressions relates to groups of 1,000 ad displays. A sales-focused optimization goal does not automatically mean the advertiser pays only when a sale occurs. For example, a campaign can optimize toward purchases while billing for clicks, so the contract and interface settings matter more than the phrase performance advertising.
Retail media arrangements can involve technology fees, service fees, or revenue-sharing terms between the participating businesses. Criteo’s financial reporting also distinguishes revenue from measures that account for traffic acquisition costs, such as payments associated with advertising inventory. Investors should read the definitions in Criteo’s annual reports rather than treating an advertiser’s budget, Criteo’s reported revenue, and Criteo’s profit as interchangeable. A hypothetical $10,000 advertising budget does not mean Criteo keeps $10,000 after media costs and other obligations.
Return on Ad Spend Versus Real Profit
Return on ad spend divides attributed revenue by advertising spend, but it does not directly measure profit. If a campaign spends $1,000 and receives credit for $5,000 in sales, its reported return on ad spend is 5 to 1. At a 35% gross margin, those sales generate $1,750 before the advertising cost, leaving $750 before other relevant expenses. Returns, discounts, shipping subsidies, agency charges, and overhead can reduce that amount further, so a strong-looking revenue ratio can still disappoint the finance team.
| Illustrative Measure | Amount |
|---|---|
| Advertising spend | $1,000 |
| Attributed sales revenue | $5,000 |
| Reported return on ad spend | 5 to 1 |
| Gross margin assumption | 35% |
| Gross profit before advertising | $1,750 |
| Amount remaining after advertising | $750 before other expenses |
The next question is whether advertising created all the sales that the report credits to it. If only half of that hypothetical $5,000 would not have happened without advertising, incremental revenue equals $2,500. At the same 35% margin, that produces $875 before the $1,000 advertising cost, leaving an incremental loss of $125 before other expenses. This does not show that Criteo campaigns lose money; it shows why advertisers need to distinguish credited revenue from additional business.
When Criteo Fits and How Alternatives Compare
Criteo often makes the most sense when a business has clear commerce goals, usable product information, and enough activity to support measurement. An established online clothing store may have all three, while a new consulting firm selling one custom service may not. Retailers with meaningful shopper traffic may also see value in advertising monetization that goes beyond selling their own products. The right comparison therefore starts with the job you need done, not a broad claim that one advertising platform is always better.
Criteo Compared with Other Advertising Platforms
Google Ads spans search, shopping, video, display, and other Google-supported advertising opportunities. Criteo places greater emphasis on commerce-focused advertising, product recommendations, and retailer connections, although the two companies overlap in areas such as remarketing and automated buying. A search ad for waterproof hiking boots responds to an explicit query, while a product display ad may reach someone during a different activity. Neither approach wins by definition, and advertisers should compare the additional customers, profit, and reach each channel produces within their existing mix.
Meta primarily offers advertising across its social platforms and related placements, while Amazon Ads combines marketplace-related shopping signals with advertising opportunities that also extend beyond Amazon’s store. The Trade Desk provides broader programmatic buying tools across channels such as display, video, and connected television. Criteo’s distinction lies in its commerce focus and relationships across participating advertisers, retailers, and media owners, not exclusive ownership of personalization or automated bidding. A retailer, a publisher, and a consumer brand should therefore build different shortlists even if all three mention Criteo.
Choosing the Right Fit for Your Business
A business considering Criteo should examine catalog quality, conversion volume, margins, implementation resources, and available advertising placements. For a store with 2,000 products, automated product advertising may reduce manual creative work and help manage a broad assortment. For a store with very little traffic, retargeting alone may offer limited reach and too little data for a useful test. Criteo also does not replace an ecommerce platform such as Shopify, a checkout provider, or a customer relationship management system.
Retailers need a separate assessment because advertising revenue can conflict with the shopping experience. A supermarket that adds too many sponsored listings may earn more advertising income in the short term while making relevant products harder to find. Its team should evaluate supplier demand, search quality, advertising labels, data permissions, and the effort required to operate the program. Beginners can start with a limited set of placements, while experienced teams may add auction controls, retailer-level reporting, and deeper tests of shopper impact.
- Favor a focused test when your product data, purchase tracking, and margins are reliable.
- Fix major checkout or website problems before paying to send more shoppers into the same problems.
- Ask for evidence that matches your business model rather than accepting an unrelated success story.
- Compare total operating effort, including feed maintenance, reporting, and agency support.
- Evaluate reach beyond your existing campaigns instead of judging only each platform’s claimed sales.
How to Test Performance Without Misleading Yourself
A Criteo dashboard can help manage campaigns, but a dashboard alone cannot establish cause and effect. In a 2015 Econometrica paper, Thomas Blake, Chris Nosko, and Steven Tadelis used eBay field experiments to examine the causal value of paid-search advertising. That research studied paid search, not Criteo, so it does not establish the performance of any particular Criteo campaign. It does illustrate a central measurement concern: customers who receive advertising may already differ from customers who do not.
Attribution and Incrementality Measure Different Things
Attribution assigns credit under reporting rules, such as a 7-day click window or a 1-day view window. Those windows are examples, not universal Criteo defaults. A shopper might see a Criteo display ad, click a Google ad later, and then order a $90 jacket. Both systems may claim that order unless you reconcile their rules and identifiers, so adding their reported sales together can overstate business results. Use retailer reports, site analytics, and order records to understand overlap while recognizing that each source may observe different parts of the journey.
Consider an illustrative test with 10,000 eligible shoppers, split randomly into 9,000 in a treatment group and 1,000 in a holdout group. If 270 treatment shoppers buy and 25 holdout shoppers buy, the purchase rates are 3% and 2.5%. The difference is 0.5 percentage points, or a 20% relative lift. Applied to 9,000 shoppers, that gap suggests 45 additional buyers rather than 270. These numbers show the calculation, not a real Criteo result or proof of statistical significance. A qualified analyst still needs to assess uncertainty, group balance, and exposure to other campaigns.
A Practical Launch and Optimization Plan
Before launch, choose one primary business outcome and decide how you will evaluate it. A retailer might prioritize incremental gross profit, while a growing brand might accept lower short-term profit to acquire genuinely new customers. A 4-week test can provide a planning example, but purchase cycles, traffic levels, and statistical needs may require a different duration. Keep the test design stable enough to interpret, and avoid changing the audience, prices, landing pages, and bidding strategy all at once.
During the test, inspect product availability, delivery quality, purchase events, audience overlap, and spend pacing before making large bidding changes. Check that order identifiers prevent duplicate purchase events and that reports handle cancellations or returns in a clearly understood way. Ask about frequency controls, site exclusions, brand safety, invalid traffic, and viewability because a cheap impression is not automatically a useful impression. Experienced teams can add customer lifetime value analysis and geographic experiments, but beginners often gain more by first fixing an inaccurate feed or a broken conversion event.
- Agree on the primary outcome and the maximum acceptable financial downside.
- Document attribution windows and the treatment of click-through and view-through conversions.
- Separate new customer goals from repeat-purchase goals where the available data allows it.
- Choose a holdout or another credible comparison method before reviewing results.
- Record major promotions, stock shortages, and website changes during the test.
- Scale only after checking profit, uncertainty, and overlap with other marketing channels.
Where Criteo and Commerce Media May Go Next
Criteo’s direction reflects broader changes in retail media, privacy, and automated advertising. Its acquisitions of HookLogic and Iponweb show a long-term move toward connecting commerce audiences with more buying and selling tools. However, no platform can guarantee that retailer access, browser behavior, or privacy rules will remain unchanged. Businesses should judge future promises against product availability, contractual rights, and measurable results rather than assuming every new feature creates additional sales.
Retail Media Growth and Its Trade-Offs
Retail media attracts brands because it connects advertising with environments where people already shop. A detergent manufacturer, for example, may value a sponsored placement beside relevant products and reporting linked to purchases at that retailer. This creates an opportunity for Criteo to simplify buying and operations across participating retail media programs. The challenge is that retailers use different catalogs, audience definitions, reporting windows, and rules, which makes apparently similar campaign results harder to compare.
Closed-loop measurement connects advertising exposure with sales inside a participating retailer’s environment, but it does not show every purchase everywhere. A shopper might see an ad connected to Retailer A and buy the same product from Retailer B, leaving a gap in Retailer A’s report. Conversely, a retailer may record a purchase that would have happened without the advertising. The industry debate therefore concerns not just access to sales data, but also fair comparisons, transparent definitions, and credible proof of additional demand.
Automation, Measurement, and Resources to Check
Machine learning can improve product selection, bidding, and campaign operations, but advertisers still need to define the outcome they actually value. If a system optimizes toward revenue alone, it may favor a popular $200 item even when a cheaper product offers better profit. Human teams should set suitable constraints, check data quality, and review whether automated decisions align with business priorities. Privacy-aware identity methods, contextual signals, and retailer data will likely remain important, but their usefulness will vary by market, browser, permissions, and integration.
For reliable updates, start with Criteo’s official product documentation, developer resources, privacy information, and investor relations materials. Its annual reports can help explain revenue definitions, business risks, and strategic priorities, while technical documentation clarifies integration requirements. Guidance from the Interactive Advertising Bureau and the Media Rating Council can provide context for advertising measurement and quality standards. When reading a Criteo customer story, look for the campaign period, comparison group, attribution rules, and whether the reported result describes credited sales or incremental sales.
Questions Readers Ask About Criteo
What Does Criteo Do for Online Stores?
Criteo helps online stores advertise products, reengage visitors, and reach potential new customers. A store typically connects product information and permitted shopping events, then sets a campaign goal and budget. Criteo selects eligible advertising opportunities and measures reported outcomes, but the store still manages checkout, payments, inventory, and delivery.
What Does Criteo Do with My Data?
Criteo uses permitted shopping and advertising signals to select ads, estimate purchase interest, and measure campaign results. Depending on the setup, those signals can include product views, purchases, device identifiers, or hashed contact information. Its privacy notices and the participating website’s disclosures explain the relevant purposes, sharing, and regional choices.
Why Do I See Criteo Ads After Buying a Product?
You may see Criteo ads after a purchase because the campaign has not received or matched your completed order. A delayed purchase event, a different device, or a missing buyer exclusion can cause this. Some advertisers also deliberately promote related products, such as socks after a running-shoe purchase.
How Does Criteo Compare with Google Ads?
Criteo centers on commerce advertising and retailer connections, while Google Ads spans search, shopping, video, display, and other Google-supported inventory. Both can support remarketing and automated bidding. Compare them using incremental profit, audience reach, available placements, and your existing campaign mix rather than assuming one always produces cheaper sales.
Can Small Businesses Use Criteo without an Agency?
Small businesses can use Criteo when its available products, access terms, and campaign requirements fit their needs. Some businesses work directly, while others use agencies or platform partners. Ask Criteo about local availability, minimum commitments, integration support, and how much traffic or sales data your intended campaign needs before signing.
Does Criteo Sell Products or Handle Shipping?
Criteo sells advertising technology and related services rather than the shoes, groceries, or electronics shown in its clients’ ads. The advertiser or retailer handles your purchase, payment, and shipping. If you need a refund or delivery update, contact the store on your receipt, not Criteo or the news website displaying the ad.
How Can I Stop Seeing Personalized Criteo Ads?
You can reduce personalized Criteo advertising through its privacy controls, the website’s consent settings, and applicable browser or device options. Depending on the identifier involved, you may need to repeat choices across browsers or devices. Opting out of personalization does not necessarily remove all ads, erase past records, or stop unrelated advertising providers.
The Practical Takeaway
Criteo connects shopping signals, advertising technology, and media opportunities to help businesses reach customers and monetize digital space. Its work includes product retargeting, customer acquisition, retail media buying, retailer monetization, and supply-side advertising tools. A sneaker ad on a news site and a sponsored cereal listing at an online supermarket can therefore reflect different parts of its business. Understanding those distinctions makes it easier to choose the right product and ask useful questions about data, costs, and results.
For advertisers, the strongest starting point is a focused test with accurate product information, lawful data use, and a clear profit goal. For retailers and publishers, the decision should also account for shopper experience, operating effort, and the terms of the advertising relationship. A reported 5-to-1 return deserves a closer look at margins and incremental sales before it justifies a larger budget. With those checks in place, you can evaluate Criteo as a practical business tool rather than a promise that automation alone will deliver growth.
