Do Faces in Ad Images Actually Improve CTR?

Faces in ad images generally do improve click-through rate on native ads, but the effect isn't universal or automatic. It depends heavily on vertical, the expression and framing of the face, and whether the face reinforces the hook or just decorates it. Across the creatives in OpenAdLibrary's index, a face-forward image is a recurring pattern in the highest-volume verticals, health, finance, and insurance, but plenty of long-running winners in other categories use product shots, before/after pairs, or text-driven images with no face at all.

The honest answer to "do faces improve CTR" is closer to "faces improve CTR when the vertical rewards emotional or aspirational connection, and they matter less or not at all when the vertical rewards a clear product or numeric hook." Treating "add a face" as a universal creative rule is how buyers end up with a face-forward image that doesn't actually fit the angle it's paired with.

Where faces show up most in live native creative#

Health and beauty ads lean on faces constantly, and for an obvious reason: the product or claim is directly about a person's body or appearance, so a face, often mid-expression (surprised, relieved, smiling) is doing real work reinforcing the before/after or transformation angle. A wrinkle-cream ad with no human face at all has to work much harder to sell the same emotional outcome. Insurance and finance ads use faces differently, often an older adult's face paired with a reassuring or concerned expression, tuned to the demographic the offer targets and the anxiety or relief the angle is selling.

By contrast, categories like software, home and garden tools, or straightforward ecommerce products win just as often with a clean product shot or a demonstration image. A face doesn't add much to "this gadget cleans your gutters," and forcing one in can actually dilute the hook by splitting attention between the product and an irrelevant person.

Why faces work when they work#

The mechanism isn't mysterious: human faces are one of the fastest things the eye locks onto in a scroll feed, and an expressive face creates an instant, pre-verbal emotional cue before the reader has processed a single word of the headline. In a native ad unit competing against dozens of other thumbnails in a content feed, that half-second head start on attention matters more than it would in a format where the reader is already committed to reading, like a search result or an email.

The expression itself carries most of the weight. A neutral, stock-photo-smile face does much less work than one caught in a specific, legible emotion, surprise, relief, concern, that maps directly onto the ad hook. Buyers researching what makes ads perform well consistently find that the strongest face-forward creatives pair a specific expression with a specific claim, not a generic friendly face slapped onto any headline.

Where faces don't help, or actively hurt#

Faces can hurt performance in a few specific ways. A face that looks too polished, too stock-photo, or too obviously staged reads as an ad rather than editorial content, which undercuts the whole premise of native advertising blending in with the feed. A face that doesn't match the target demographic, a 25-year-old model on an offer targeting retirees, creates a subtle credibility gap even if nobody consciously flags it. And in verticals where the product itself is the story, a piece of software, a financial calculator, a specific mechanical gadget, adding a face can crowd out the visual information the reader actually needs to understand what's being sold.

What creative volume by vertical suggests#

As of June 2026, health (24,472 creatives), finance (24,068) and insurance (22,427) are the three largest verticals by creative volume in OpenAdLibrary's index of 725,882 native creatives, well ahead of ecommerce (19,368) and entertainment (18,179). These aren't the verticals with the most creatives by accident; they're categories where the underlying offer is inherently personal, a health outcome, a financial worry, a coverage gap, which is exactly the condition under which a face-forward image tends to do real work reinforcing the pitch. The sheer volume of competing creative in these categories also means a generic, low-effort face shot gets lost fast; the ones that hold attention pair a specific expression with a specific claim rather than reusing an interchangeable stock photo.

Framing and cropping matter as much as the face itself#

Beyond whether to include a face, how it's framed changes performance. A tight close-up on eyes and expression reads faster in a small feed thumbnail than a wider shot where the face is a small part of a busier scene, since native ad units render small and compete against dense surrounding content. Cropping too tight can backfire too, cutting off context that makes the expression legible (a surprised face needs to be shown reacting to something, or the surprise reads as confusing rather than compelling). The framing choices that repeat across long-running creative in face-heavy verticals tend to favor a medium close-up: enough of the face to read the expression clearly, enough surrounding context to anchor what's being reacted to.

Testing the face-vs-no-face question yourself#

The cleanest way to answer this for your own offer isn't a general rule, it's a controlled comparison: run the same headline and hook with a face-forward variant against a product- or claim-forward variant, same targeting, same budget, and let the CTR data settle before drawing conclusions. Because network delivery algorithms adjust based on early performance, give both variants a genuinely fair shot at impressions rather than judging off the first few hundred.

It's also worth checking longevity, not just early CTR. A face-forward creative that spikes CTR in the first day but fatigues fast, because the same audience segment sees the same face repeatedly, can lose to a less flashy variant that sustains performance longer. Creative fatigue tends to hit face-driven ads faster than product shots, since a specific human face is more memorable and more quickly recognized as "the same ad again" on a second or third exposure.

Researching what's actually working across verticals#

There's a middle path worth testing too, before committing fully to one format or the other: a hybrid image that shows a face reacting to a product, rather than either a bare product shot or an isolated face crop. This gets used often in supplement and gadget ads, where the face supplies the emotional read while the product stays visible enough to answer "what is this, exactly" in the same glance.

Rather than guessing at whether a face fits your vertical, it's faster to look at what's currently running. OpenAdLibrary's index holds over 725,000 native creatives across dozens of networks, and browsing creative analysis patterns by vertical shows exactly how often face-forward images show up as a share of live creative in your specific category, not as a general marketing rule of thumb. If face-forward creative dominates the top of your vertical and you're running product shots exclusively, that's a real test worth running; if the opposite is true, chasing a face-forward format that isn't winning in your category is a wasted creative cycle. Our native ad spy tool lets you filter by vertical and network to see exactly this pattern before you brief your next creative batch.