Creative analytics is the analysis of which ad creatives perform and why. It ties each image, video, hook, and line of copy to results such as hook rate, CTR, cost per acquisition, and ROAS, groups the same creative wherever it runs, and finds the patterns your winners share, so the next round of ads starts from evidence instead of taste.
The short version: campaign reporting tells you which ads did well; creative analytics tells you which creatives did well, what they have in common, and what to make next.
What does creative analytics answer?
Four questions that ordinary ad reporting cannot:
- Which creatives are actually winning? Not which ads. One video running in eight ad sets is one creative, and judged ad by ad it looks like eight mediocre results.
- Why do the winners win? Which hooks, formats, tones, offers, and calls to action keep showing up among your best performers.
- What should we make next? The patterns behind your winners, turned into a brief for the next batch.
- What is wearing out? Which winners are fatiguing, and how much spend is still sitting on them.
Creative analytics vs ad reporting, attribution, and creative intelligence
The four terms get used loosely. They answer different questions and look at different units.
| Term | The question it answers | Unit of analysis |
|---|---|---|
| Ad reporting | How did my campaigns, ad sets, and ads perform? | Campaign, ad set, ad |
| Attribution | Which channel or touchpoint gets credit for a sale? | Channel, touchpoint, order |
| Creative analytics | Which creatives work, and why? | The creative itself, across ads and platforms |
| Creative intelligence | What should we make next? | Patterns across your creatives |
Creative intelligence is often used as a synonym for creative analytics. Where the two are separated, intelligence is the step after the analysis: turning what your winners share into the next brief. What is creative intelligence? covers that loop in full. Peachblue calls itself a creative intelligence platform for that reason, while comparisons of the category, ours included, file it under creative analytics.
Attribution and creative analytics are complements, not substitutes. Attribution tools decide how much credit each channel earns; creative analytics decides which creative inside a channel earned it. A team can need both, which is why some creative tools connect to attribution platforms.
What does creative analytics measure?
The metrics fall into four groups, roughly in the order a viewer meets the ad:
- Attention: hook rate (3-second video plays / impressions on Meta) and hold rate (ThruPlays / 3-second plays) say whether the opening stops the scroll and the body keeps viewers. See hook rate and hold rate formulas.
- Response: CTR, still the main attention metric for static images, where play counts do not exist.
- Efficiency: cost per acquisition and ROAS measured per creative rather than per campaign. See creative ROAS and what ROAS means.
- The pipeline: creative hit rate (how many launches become winners), creative fatigue (how fast winners wear out), and wasted spend on creatives that never earn their budget, covered in the creative economics essay.
How does creative analytics work?
The process is the same whether you run it in a spreadsheet or a tool:
- Collect every creative and its performance from each ad platform you buy on.
- Group the same creative across ads, ad sets, and platforms, so a video re-cropped for Reels or uploaded twice still counts as one asset.
- Tag what is in it: format, hook style, emotional tone, offer, CTA, and other traits, by hand or with AI.
- Score it against your own baseline, not an internet benchmark. Published benchmarks for metrics like hook rate disagree too much to trust, while your own account's trailing averages per format and placement are a fair yardstick.
- Find the patterns your winners share and your losers lack.
- Turn the patterns into the next brief, then judge the next batch with the same score.
- Watch for fatigue, measuring each winner against its own best weeks so you replace it before the decline costs money.
A worked example
A brand runs one UGC video in eight ad sets on Meta and a re-cut of it on TikTok. Its ad report shows nine ads with ordinary results, none of them the top line. Grouped, those nine ads are one creative with more spend and more conversions than anything else in the account, which makes it the winner the report hid.
Tagging then shows that this creative and the next two best both open on a product demonstration in the first second and close on a price-led CTA, while the bottom performers open on a talking head. That is the brief for the next round: three new demonstrations with price-led closes, each scored against the same baseline when it launches.
What kinds of creative analytics tools are there?
Four kinds, and many teams use more than one:
| Type | What it does | Examples |
|---|---|---|
| Analytics on your own ads | Tags, scores, and ranks your creatives against your results | Peachblue, Motion, Superads, Segwise, Atria |
| Competitor research | Swipe files and ad library search across brands | Foreplay |
| Pre-flight and brand scoring | Checks creative against platform best practice and brand rules | CreativeX, Vidmob |
| Attribution with creative views | Ties revenue to channels, with creative reporting on top | Triple Whale, Northbeam |
The 2026 roundup of creative analytics tools compares fourteen of them with verified prices, and agencies should start with creative analytics tools for agencies. If you buy Amazon DSP, the options narrow fast: see Amazon DSP creative analytics tools.
Do you need a tool for creative analytics?
Not to start. A spreadsheet with one row per creative, its tags, and its combined spend and results across every ad it ran in will teach you the method. It breaks down at three points: when the same creative runs in many ads and grouping by hand becomes a weekly chore, when you buy on more than one platform, and when you manage several brands or clients.
That is the work Peachblue automates. It syncs Meta, TikTok, Google Ads, and Amazon DSP, groups each creative by perceptual fingerprint, tags it across 31 dimensions with a written analysis, and scores it against your own account's percentiles. Its Intelligence layer finds what your winners share and writes the Next Creative Brief, and its fatigue board flags winners declining against their own best week. From the Pro plan up, you can also query all of it from Claude through its MCP server. Plans start at $79 a month; see pricing.