Improve targeted advertising

Targeting used to mean buying audiences defined by third-party cookies. That market has shrunk, and the platforms' own targeting now depends on what you tell them. This page lists practical ways to improve targeting today. It follows cookieless targeting, Facebook custom audiences and customer lists in Google Ads.

1. Use your own audiences

• Upload customer lists (hashed e-mail and phone) with consent.
• Build website audiences from events, with server events to cover blocked visitors.
• Segment by value: best customers, one-time buyers, lapsed.

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2. Improve the signal

Platforms learn who to show ads to from the conversions you send. Complete and well-matched conversions, with value, make broad targeting work. See event match quality and conversion tracking FAQ.

3. Exclude

• Exclude recent buyers from acquisition.
• Exclude existing customers where you do not want to pay twice.
• Exclude low-quality placements and audiences.

For online stores

Orders from your store, back to the ad that earned them

Your store sends the order once. Open Tracked passes it on to each ad platform, cleaned and deduplicated.

Open Trackedorder tracked

+1 order

4. Let creative target

In broad targeting, the ad itself selects the audience. Speak to a specific person and problem, and show the product in use. Test several angles. See ad fatigue.

5. Control frequency

Too many impressions on the same people waste money. Watch frequency, and widen or rotate audiences when it rises.

6. Lookalikes from good seeds

Use your best customers, not all visitors, as the seed for lookalike audiences.

7. Measure impact

Targeting that finds people who would have bought anyway looks good and adds little. Use holdouts or lift tests for large campaigns. See conversion lift studies.

Privacy

Use customer data with a lawful basis, honour opt-outs and avoid sensitive categories. See GDPR and server-side tracking.

A starter plan

1. Upload a customer list and exclude buyers.
2. Send server-side purchases with hashed data.
3. Test a broad campaign next to a narrow one.
4. Refresh creative weekly.
5. Run one lift test in the quarter.

A realistic example

A skincare brand has retargeting audiences that keep shrinking and an acquisition campaign that reaches existing customers. It uploads its customer list monthly, excludes buyers from acquisition, sends server purchases with matching data and tests a broad campaign with five creative angles. The broad campaign beats the old interest-based audiences on cost per new customer within a month, and the exclusion alone saves a noticeable share of spend that had gone to people who had already bought. The brand also runs a holdout test on its retargeting and finds it adds less than reported. It cuts the retargeting budget and moves it to prospecting. None of these steps required new tools, only clean data and a willingness to test.

Frequently asked questions

Fix your tracking at the source

Open Tracked hosts your server-side Tag Manager, keeps first-party cookies alive and shows what each ad is really worth.

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Written by

The Open Tracked team

We build Open Tracked: server-side tracking hosting, analytics and the tools around them, for stores that spend on ads. Questions about this guide, or an idea for the next one?

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