AI ad analyzer
An AI ad analyzer that reads the creative, not just the numbers.
Marxx analyzes every ad you run and every ad your competitors run: the hook, the format, the angle, the offer, and what each one actually did to CPA. Then it tells you what to build next and builds it on the same canvas you publish from.
Creative analysis, not a metrics dump
Every ad is broken down by hook, format, angle, avatar and offer, then scored against spend and CPA, so you learn which idea worked instead of which ad ID won.
Fatigue caught before the CPA moves
The analyzer watches frequency, decay curves and spend concentration per creative and flags the ad that is about to stop working, not the one that already did.
Competitor ads analyzed the same way
Point it at any brand, connected or not. It pulls their live creative and runs the same teardown, so you can compare your angles against theirs on one axis.
The analysis ends in a build
Every recommendation opens as a storyboard, script and variant set on the production canvas, and publishes straight to Meta when it is approved.
How the analyzer works
Four steps from raw ad history to the next test.
Ingest, analyze, compare, act. Most tools stop after the second step and hand you a chart. This one carries the finding through to a published ad.
Ingest
Connect the account and every ad gets read
- Full creative history pulled in, not just the last 30 days
- Video, static and carousel parsed frame by frame and line by line
- Hooks, offers, avatars and formats tagged automatically
Analyze
Performance attached to the idea, not the ad ID
- Spend, CPA and ROAS rolled up by hook, angle and format
- Spend leaks and duplicate concepts surfaced from the history
- Semantic search across the whole library: find every ad that used a claim
Compare
The same analysis, run on your competitors
- Any brand's live creative, no ad account connection required
- Their hooks and formats scored against yours side by side
- The gap list: what your category ships that you do not
Act
From the finding to the ad in one place
- Concepts generated from what the analysis found, not from a blank page
- Variants by hook, format and avatar without a re-brief
- Publish to Meta and the next round of analysis starts on its own
Why not a dashboard
Metrics tell you what happened. Analysis tells you why.
Dashboards report, they do not analyze
Ads Manager tells you ad 4471 beat ad 4472. It cannot tell you that the founder-to-camera hook beat the UGC testimonial across both. Marxx groups by the creative decision, so the answer transfers to the next round.
A model that has read the category
Analysis with nothing to compare against is just your own history. Marxx reads your competitors' live ads through the same pipeline, so a weak angle in your account can be told apart from a weak angle in the market.
Analysis you do not have to translate
The output is not a PDF someone has to turn into briefs. Each finding opens on the canvas as a storyboard, script and variant set, so the analysis and the production are the same tool.
FAQ
AI ad analyzer, answered.
What is an AI ad analyzer?
An AI ad analyzer is a tool that reads the actual creative in your ads, the hook, format, angle, avatar, offer and on-screen copy, and ties each of those elements to performance. Unlike an ads dashboard, which reports metrics per ad ID, an analyzer explains which creative decisions drove the result so the lesson carries into the next batch.
How does Marxx analyze ad creative?
Marxx ingests your full ad history from the connected account, parses video, static and carousel creative into tagged elements, then rolls spend, CPA and ROAS up by hook, angle and format rather than by ad. It also tracks frequency and decay per creative to flag fatigue before the CPA moves.
Can it analyze competitor ads?
Yes. Point Marxx at any brand and it pulls their live creative and runs the same teardown, with no ad account connection needed on their side. You get their hooks, formats and angles scored on the same axis as your own, plus the gap list of what your category runs that you do not.
Which ad platforms does it support?
Meta is fully supported today for both analysis and publishing, including competitor creative. Support for other paid social platforms is on the roadmap.
Is this just reporting, or can it build the ads too?
Both. Every recommendation opens on the production canvas as a storyboard, script and variant set, and publishes straight to Meta once approved. The analysis and the production run in the same workspace.
How much ad history does it need?
It works from whatever the account has. More history makes the hook and angle comparisons more confident, but the competitor analysis runs on day one regardless, because it does not depend on your own spend.
One size fits none. Let’s build your exact setup.
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