Content Keyword Targeting vs Similar Segments: The Contextual Fallback
In short: Both were ways to reach people beyond your own lists, and only one of them still exists. Content keywords target the reading moment: pages whose wording matches your theme, regardless of who is on them. Similar segments targeted persistent people derived from a seed list - until Google removed them in 2023 and folded the job into automation. That history matters because it reveals the durable difference: contextual targeting needs no user data and survives every privacy shift, while people-based expansion gets rebuilt every time the data rules change. Use keywords for data-free prospecting you can steer; when you want seed-driven expansion, that is optimized targeting now.
By the AdFlint research team · Fact-checked against current Google and Meta platform behavior · Last reviewed July 2026
Content Keyword Targeting
Uses keywords to match Display or video ads to pages whose content covers those terms, matching the page being read rather than a searcher's query.
Display keywords sit in the ad group and Google scans page content, serving your ads against pages it reads as relevant - contextual rather than intent-based. It fits topical inventory where a topic segment is too coarse. The persistent misunderstanding is treating these like Search keywords: match types do not apply, negatives behave differently, and a term that converts on Search may mean something else entirely on a page.
Full definitionSimilar Segments
Google's retired audience expansion feature, which generated lookalike-style segments from a seed list before being removed in 2023 in favor of automated targeting.
Similar segments once derived a resembling audience automatically from a remarketing or Customer Match seed, and Google sunset them so campaign-level automation could do that expansion instead. Your seed lists remain valuable as signals feeding optimized targeting and Smart Bidding rather than as sources for a derived list. Advertisers still hunting for the setting almost always want optimized targeting or Customer Match.
Full definitionSide by side.
The differences that actually change what happens in your account.
| Content Keyword Targeting | Similar Segments | |
|---|---|---|
| Status today | Live for Display and video ad groups. | Removed in 2023; the derived segments no longer exist. |
| What it targeted | Pages whose content matches a keyword theme, at the moment of reading. | People resembling a seed list, wherever they browsed. |
| Your data required | None - it runs on Google's read of the page. | A seed list big enough to derive from. |
| Exposure to privacy shifts | Minimal - it reads content, not user history. | High - user-level behavioral features are exactly what keeps getting rebuilt. |
| What you could tune | The keyword theme itself, plus placement exclusions when pages match wrong. | Almost nothing - you took the derived audience as given or left it. |
| Where results read | Display keyword and placement reports, page by page. | Its own audience segment row while it existed. |
| Successor | Itself - contextual never needed replacing. | Optimized targeting, with Demand Gen lookalike segments as the seed-based form. |
What actually separates them.
Content keywords aim at a reading moment and similar segments aimed at persistent people - one targets the page visit, the other targeted the profile behind it.
Keywords need zero first-party data and no consent dependency, while the lookalike path - old or new - lives and dies by the seed lists feeding it.
Keywords are still in the interface, while similar segments have been gone since 2023, which settles most this-or-that debates before they start.
A contextual buy fails toward irrelevant pages you can identify and exclude, while expansion buys fail toward unverifiable people you could only switch off.
Contextual reach grows only when you deliberately widen the theme, while lookalike expansion scaled itself - a real difference in how much babysitting each demanded.
Which one should you use?
Use Content Keyword Targeting when
- You need prospecting reach with no traffic history and no seed lists.
- Your subject is narrower than the topic tree and only page wording can isolate it.
- Your category restricts audience-based targeting and contextual is the compliant route.
- You want prospecting whose failures show up in a placement report you can act on.
Use Similar Segments when
- You are auditing a legacy account that carried similar audience segments.
- You are updating training material or SOPs written before the 2023 removal.
- You are diagnosing a historical reach change in a campaign that used derived segments.
- You want seed-based expansion today, which means optimized targeting or Demand Gen lookalikes.
Common questions.
Can I still find similar segments in the audience picker?
No. Google removed them in 2023 and the picker no longer offers a similar-to option for any list. If a legacy campaign referenced them, that targeting simply stopped contributing; the seed lists themselves survived and now work as signals for optimized targeting.
Are Display keywords the same as Search keywords?
No. Search keywords match user queries and support match types; Display keywords describe page content and are read together as a theme with no match-type control. A term that signals purchase intent in a query often just signals subject matter on a page, so the two lists should be built differently even when the words overlap.
Does contextual keyword targeting need cookies or consent to work?
The targeting itself does not - it is based on classifying the page, not tracking the person. Your measurement of what happens after the click still depends on tags and consent, so conversion reporting can undercount even while delivery is unaffected. That split is worth remembering when contextual campaigns look weaker than they are.
What replaced similar segments for finding new customers?
Optimized targeting is the built-in successor: it uses your lists and conversion data as seeds and prospects toward predicted converters. Demand Gen campaigns also offer lookalike segments built from seed lists, though they now default to steering delivery as a signal rather than fencing it at a fixed reach size. Contextual keywords remain a parallel, independent option that never depended on that machinery.
Or stop choosing between them.
AdFlint picks the setting, writes the ads, and keeps optimizing inside the Google and Meta accounts you already own.
Related comparisons
- Affinity Audiences vs In-Market Audiences
- Custom Segments vs In-Market Audiences
- Customer Match vs In-Market Audiences
- In-Market Audiences vs Remarketing Lists
- In-Market Audiences vs Similar Segments
- Demographic Targeting vs In-Market Audiences
- In-Market Audiences vs Life Events Targeting
- In-Market Audiences vs Optimized Targeting