Creative Analysis

Know exactly why your ads win or die.

Hawky watches every ad in your account. It takes each one apart into hook, frames, copy, audio, and CTA, flags the element draining spend, and queues the exact edit. Ask Copilot anything you'd ask an analyst.

Trusted by 100+ brands and agencies

The differentiator

CTR dropped. But How?

Hawky doesn't just show you CTR is dropping. It points at the element that caused the drop, writes the edit that fixes it, and lands the breakdown in FeatherDB the moment the ad goes live.

Element overview: Vellum Run video ad scored across hook, frame, copy, CTA, audience fit, with Frame flagged as the weakest element
Anatomy of an ad

X-ray for every creative.

Hawky takes every ad apart down to the element - hook, frames, message, CTA, audio, audience fit. Each one scored against your winners, with the fix sitting in your queue.

Element scorecard for Spring Hero v3. Hawky's call to reframe 0:16–0:22
How it works

From ad account to actionable edit, in four steps.

Hawky runs the same pipeline on every ad in your account. Each step traces back to the campaigns and winners behind it.

Step 1
Connect

You plug in Meta, Google, and TikTok. Hawky starts ingesting in under five minutes. CRM, MMPs, and GA4 plug in next for revenue attribution.

Step 2
Break down

Hawky takes every ad apart: hook, frames, copy, CTA, audio, format, audience signals.

Step 3
Score

Hawky scores each element against your winners in FeatherDB, your category benchmarks, and platform-current best practice.

Step 4
Recommend

Hawky ranks the edits by expected ROI lift and puts the campaign data behind every call.

Connect

You plug in Meta, Google, and TikTok. Hawky starts ingesting in under five minutes. CRM, MMPs, and GA4 plug in next for revenue attribution.

Break down

Hawky takes every ad apart: hook, frames, copy, CTA, audio, format, audience signals.

Score

Hawky scores each element against your winners in FeatherDB, your category benchmarks, and platform-current best practice.

Recommend

Hawky ranks the edits by expected ROI lift and puts the campaign data behind every call.

Fatigue detection

Catch fatigue before performance dies.

Most teams notice fatigue after a week of wasted spend. Hawky picks it up two to three days earlier, names the element responsible, and queues the fix before anyone opens the dashboard.

Fatigue detection: day-by-day timeline with the model alerting on day 4, cause attached, and a 7-day performance forecast

Predictive, not reactive.

Hawky watches every element's contribution to CTR, CVR, and revenue over time. The moment a hook weakens or a CTA collapses, it fires the alert with the cause attached and lines up the replacement, so you reshoot the third-second cut on Monday instead of pausing the whole ad on Friday.

The closing loop

Fatigue detected. Two agents take it from here.

Creative Analysis flags the fatigue. Creative Agent ships the replacement. Performance Agent deploys it live. No tab-switching, no dropped batons.

Creative Agent

Generates the replacement

Reads the diagnosis. Generates an on-brand variant. Scores it against your winners in FeatherDB. Lands in your queue, ready to ship.

Creative Agent: diagnosed weak frame, three generated Vellum Run ad variants with one marked recommended
Performance Agent

Ships it live

Swaps the fatiguing creative live. Mirrors the audience and budget. Watches the new variant from the second it starts spending.

Performance Agent: live swap from a fatiguing Vellum Run creative (score 41) to a ready replacement (score 78), mirror audience, keep budget, deploy live
Live in Copilot

Ask anything about your creative performance.

Hawky writes every element score into FeatherDB the moment it lands. Copilot reads from there. The breakdown isn't a dashboard you click through. It's a question you ask.

CPAsk Copilot anything about your creatives…
TryWhy did our spring hero hook fatigue three days early?Which CTAs are over-performing in our category right now?Show me every ad where the third-second cut is hurting performance.
YOU

Why did our spring hero hook fatigue three days early?

CP

Pattern-interrupt strength on the opener dropped 38% after day 4. On-screen text shifted from yellow to brand red and crashed contrast against the background. The same hook with the original yellow is still pulling a 1.8× ROAS on the cold set.

Grounded in FeatherDB · cited 3 sources
Why the scoring holds up

Why the breakdown is real signal, not ad-school theory.

Four properties of the model, plus the bottom-funnel data Hawky reads from, that take the breakdown from interesting to operational.

01

Trained on millions of ads across categories

Hawky's pattern library spans DTC, fintech, gaming, B2B SaaS, marketplaces, and more. It knows what a good hook for your category looks like, not a textbook average.

02

Brand-aware, not template-aware

Hawky grades every element against your historical winners, so the recommendation lines up with what your audience has already converted on.

03

Multi-modal, end-to-end

Hawky decodes video, image, copy, voiceover, on-screen text, and audio in one pass. When CTR moves, it tells you whether it was the cut, the colour, the claim, or the voiceover.

04

Tied to bottom-funnel revenue

Connect CRM, MMPs, and GA4 and Hawky ties every element back to actual revenue, CAC by hook style, and LTV by message. Not surface CTR.

FeatherDB is the substrate. Hawky writes every signal back to it.

FeatherDB holds every winner, every campaign read, every element score, and every revenue signal flowing in from your CRM, MMPs, and GA4. Hawky writes the moment data lands. Copilot reads the moment you ask.

Generic analytics vs Creative Analysis

Other tools report.
Hawky diagnoses.

In-platform dashboards tell you what happened. Hawky names the element that caused it, ranks the edit that will lift performance, and queues it up. Sourced from your winners and your category.

Dimension
Generic ad analytics
Creative AnalysisTHIS
Granularity
Account / campaign / ad-set level. CTR, CPC, CPM.
Element-level: hook, frame, copy, audio, CTA, audience fit.
Diagnosis
Tells you CTR is dropping. Stops there.
Names the element that caused the drop and queues the fix.
Fatigue detection
Reactive. You notice after spend is wasted.
Predictive. Alerts before performance dies, with the cause attached.
Brand context
None. Same advice for every brand.
Benchmarked against your winners in FeatherDB and your category.
How you query it
Filter, group, export. Repeat for every question.
Ask Copilot in natural language. Answers grounded in FeatherDB.
Integrations

Connect everything.
Work seamlessly.

Hawky integrates with 100+ tools you already use - your ad platforms, your CRM, your analytics stack.

Meta
Google Ads
Google Analytics 4
HubSpot
LinkedIn
Salesforce
AppsFlyer
LeadSquared
Meta
Google Ads
Google Analytics 4
Salesforce
HubSpot
LinkedIn
AppsFlyer
LeadSquared

Hawky helped us identify winning creative patterns across our ad library. With AI-powered fatigue alerts and automated variation generation, we cut iteration cycles in half and doubled the performance of our top-performing ads.

Performance Marketing Lead, Performance Marketing
at The Man Company

Creative performance

50%

Faster iteration cycles

Read full story
The Man Company
FAQ

Everything teams ask before turning it on.

What kinds of ads can Hawky analyze?

Video, image, carousel, and stories across Meta, Google (YouTube, Display, Performance Max), and TikTok. If the ad exists in your account, Hawky breaks it down the moment it's ingested.

How does Hawky pinpoint which element is causing fatigue?

Hawky tracks each element's contribution to CTR and CVR over time: hook, opener frame, claim, CTA, music. When an element's contribution collapses, the alert points at the element, not just the ad.

How does this connect to Copilot and FeatherDB?

Creative Analysis writes every element score into FeatherDB, the brand-memory layer Copilot reads from. Anything you can see in the dashboards, you can also ask Copilot in natural language, with citations back to the campaigns the answer came from.

Does it work for smaller ad budgets?

Yes. The scoring model doesn't need six-figure monthly spend to produce useful reads. Smaller accounts often get the biggest lift, because every wasted day on a fatiguing creative is a much larger share of the budget.

Can it predict performance before we launch?

Yes. Upload a draft creative and Hawky scores each element against your winners and category benchmarks before any spend hits it. Teams use this as a pre-launch gate to kill weak hooks before paying for them.

What about data privacy?

Your account data stays inside your workspace. It's used to ground the element scoring and improve your private benchmark. Never to train shared models or surface in any other workspace.

See what's killing your creative.

Connect Meta, Google, or TikTok. Hawky ships your first element-level breakdown inside the day.