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Retargeting

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what is retargeting

What is retargeting? It is advertising that serves ads to people who have previously visited a website. A pixel or cookie recognises the visitor after they leave, and the ads work best when audiences are segmented and capped.

Retargeting is one technique within what is ad tech, the wider set of tools that buy, serve and measure ads. The sections below follow the sequence from the first site visit to the ad a returning shopper sees, then cover the controls and privacy limits that shape it.

How retargeting works, stage by stage

Retargeting runs as a trigger-to-ad sequence: a visitor does something on a site, the site records it, and an ad platform later uses that record to choose who sees which ad. According to Funnel’s retargeting guide, the sequence begins when someone visits a website and eventually leaves after browsing. The stages run in this order:

  1. Visit: A person browses the site. Page views and products viewed become the raw signals.
  2. Tracking: A tracking pixel or cookie records the visit. Campaign Monitor’s glossary describes the most common type of retargeting as using a piece of JavaScript placed in the browser, commonly called a cookie.
  3. List building: The visitor is added to an audience list, such as people who viewed a product or added it to a basket without buying.
  4. Departure: The person leaves without completing a purchase.
  5. Ad delivery: The ad platform shows ads to people on the list while they browse other sites.
  6. Return: The person comes back to the original site and may complete the purchase.

The tracking code on the site is the part that must be deployed correctly. Pixels are normally installed through tags, and what is an ad tag explains how those snippets are managed. If the tag is missing from a page, visitors to that page never reach a list, so retargeting cannot reach them.

Pixels, cookies and audience lists

Three components do the technical work: a tracking pixel to collect behaviour, a cookie to recognise the browser, and an audience list to hold the people the platform may target. Each handles a different part of list building.

A notebook headed ‘My Plan:’, a generic image for the planning step where lists, creative and limits are decided before launch.
Component What it does Planning use
Tracking pixel A code snippet placed on the website that collects user data and sends it back to the advertising platform. Install it on the pages whose visits should qualify someone for a list.
Cookie A small text file stored on the user’s device that tracks site visits and the products viewed. Treat it as the way a returning browser is recognised, and plan for consent before it is set.
Audience list A group of visitors, such as website and app visitors added to a retargeting list and then targeted with ads. Split lists by behaviour so each group sees a relevant message.

The definitions come from Brandwatch’s retargeting overview and from Funnel’s guide, which describes list-based retargeting in Google Ads.

Lists become useful when they separate behaviour. Brandwatch gives groupings such as users who viewed product X and users who added to cart but did not purchase. A broad list of every visitor treats a casual browser and a near-buyer the same way. Separate lists let the advertiser match the message to the stage the person reached.

A blank to-do list beside a laptop. It is a generic stand-in for the visitor lists an advertiser keeps, not an ad platform screen.

Retargeting examples: from trigger to ad

The classic use of retargeting, as D2 Creative’s glossary puts it, is to bring back customers who visited a site and left items in the shopping cart. Most other examples vary the trigger or the placement.

Cart abandonment

Funnel notes that retargeting can track which products people added to their shopping basket before they decided to leave the website. That record is the trigger. The follow-up ad can then reflect it. Brandwatch’s example is a user who abandoned their shopping cart seeing a free shipping offer. This scenario suits shops where shoppers fill a basket and then stall, because the ad answers a decision the shopper had already begun.

A rendered online-shopping scene with gift boxes in a small cart, illustrating the filled basket that starts an abandoned-cart sequence.

Dynamic retargeting

Dynamic retargeting means the ad’s content changes with the person. D2 Creative says retargeting ads can be dynamic and tailored to the user, such as showing the product the user looked at. The dynamic creative is assembled from the visitor’s own behaviour, so a shopper who viewed one item sees that item rather than a generic brand banner. Brandwatch adds that segment-specific creative lets advertisers develop visuals and messages catering to each user segment.

In practice, dynamic retargeting pairs naturally with behavioural lists. The list decides who is eligible, and the creative decides what each eligible person sees. A static banner is simpler to produce, but it cannot show the viewed product.

Search retargeting and display placement

Not every example starts on the advertiser’s own site. D2 Creative describes search retargeting as showing an ad to users based on searches they performed on other websites or search engines. For site-visit retargeting, Funnel explains that display ads, also called banner ads, appear on different websites such as news websites. These placements follow the person, not the page. For the formats and inventory behind them, see what is display advertising.

A keyboard key labelled ‘Add to cart’, the kind of action a site can record as the first trigger in a retargeting sequence.

Controlling who sees ads and how often

Retargeting gets noticeably worse when the same ad follows everyone indefinitely, so most of the craft lies in limits and exclusions. Brandwatch points to frequency capping, which can help limit how often each user sees retargeting ads. A frequency cap suits any campaign where the audience is small and the same people would otherwise see the ad repeatedly.

Exclusion matters just as much. Brandwatch recommends burn pixels to exclude people who have already made a purchase. A burn pixel is a tracking pixel placed on the confirmation step, so completed buyers drop out of the list instead of continuing to see ads for something they already own.

Together, these controls turn a blunt tool into a targeted one. Segment the lists, tailor the creative to each segment, cap how often each person sees the ad, and remove buyers once they convert.

Privacy rules and consent

Privacy rules decide whether the tracking behind retargeting may run at all. A LinkedIn analysis of remarketing strategy says GDPR, CCPA and emerging state-level privacy regulations impose strict consent requirements. For retargeting, that means the cookie or pixel should be set only in line with the visitor’s consent choice, since the recognition step relies on it.

The same analysis describes Google Consent Mode as the technical framework for adjusting Google tag behaviour based on user consent choices, and says Consent Mode v2 is now required for European Economic Area traffic. Advertisers who use Google tags should check their consent setup before relying on retargeting lists.

Funnel expects transparency and consent to take a more important role in retargeting, with the focus on relevant and unobtrusive advertising. That points to tight segmentation and sensible frequency caps as good practice, not only as tuning options.

Frequently asked questions

Can retargeting stop showing ads to people who already bought?

Yes. A burn pixel placed on the purchase step can move buyers off the list so the campaign no longer targets them.

What is search retargeting?

It shows an ad to users based on searches they performed on other websites or search engines, instead of on their earlier visits to the advertiser’s site.

Does retargeting still work as browsers block cookies?

It is under pressure. Safari and Firefox already block third-party cookies by default, and Funnel expects first-party data and contextual targeting to come to the fore as cookies are phased out. Advertisers who rely on cookie-based lists should build first-party data alongside them.