01 · Define
Choose what you want to learn
Ask about the hook, character, setting, offer, visual style, or any creative choice your team cares about.
AI creative element intelligence
Watch Lemon read the creative itself: who appears, what happens, how the product is framed, and how the message lands. Then see which choices are tied to better ROAS, CPI, CTR, or conversion.
Opening hook · UGC reveal Direct gaze · Present Product placement · In hand Usage gesture · Face touch Creative format · UGC portrait Setting · Bathroom Stop guessing why the winner won.
Lemon breaks every ad into the creative choices inside it, then shows you which hooks, subjects, formats, pacing, voiceovers, and messages perform best. Use what wins to write a sharper brief and make the next round stronger.
How it works
01 · Define
Ask about the hook, character, setting, offer, visual style, or any creative choice your team cares about.
02 · Tag
Lemon reads matching images, videos, and ad copy across your library. You do not have to label them by hand.
03 · Measure
Compare each creative choice against ROAS, conversion value, CPI, CTR, or another metric you use to make decisions.
Your creative language
Track the hooks, settings, characters, offers, and visual styles your team already talks about. Add a new idea once and Lemon finds it across the library.
| Attribute | Type | Asset scope | Coverage | Status |
|---|---|---|---|---|
| hook_type | Enum | Video | 98% | Complete |
| text_density | Number | Image · Video | 94% | Processing |
| voiceover_present | Boolean | Video | 100% | Complete |
From pattern to creative
Go straight from a winning pattern to the creatives that use it. See the examples, the metric, and the campaign context without rebuilding your filters.
Selected value
UGC hook, first 3s
Turn every winning pattern into your next brief.
Send the best-performing hook, format, or visual style straight into Creative Lab. Make new variants from the ads that already work, then choose what goes live.
Explore Creative GenerationFAQ
Creative attribute analysis measures how recurring elements inside ads relate to performance. Instead of comparing only whole creatives, Lemon lets teams examine attributes such as hook type, format, subject, pacing, voiceover, or text density against the metric and attribution window they select.
No. You define the attribute and Lemon applies it across matching assets with AI. Manual attributes are also supported when a team needs a controlled taxonomy or wants to correct a value.
Attributes can be applied to image, video, and text assets. A definition can produce an enum, number, or boolean value, which supports both categorical questions and measurable properties.
Yes. Every attribute value can be opened to inspect example assets under the same app, network, campaign, country, platform, date, and performance filters used by the analysis.
The analysis identifies the elements associated with stronger results. Those findings can then become a generation brief or reference set in Creative Lab, keeping the creative iteration grounded in observed performance.
Bring your hardest growth question
Bring one app and the decision in front of you. We’ll show you what Lemon finds.