Creative & Audience Performance Tearsheet (LinkedIn + Meta + Google)

Creative & Audience Tearsheet

Sixteen creative tiles ranked by performance. Gold ribbons on the top performers, dimmed Pause indicators on the bottom. Audience-by-channel heatmap shows which segment-channel intersections actually convert. AI weekly recommendation tells you what to scale, rotate, and pause.

Try the live demo → Watch the 60-second Loom

How it works

1. Centralize creative across channels

Pull creative performance from LinkedIn Campaign Manager, Meta Ads, Google Ads, and TikTok into one tearsheet. Every creative gets a unified scorecard: spend, impressions, CTR, CPL, fatigue, and status (Scale / Hold / Pause / Rotate).

2. Score, rank, and visualize

Top performers get a gold ribbon. Bottom performers get an amber ‘pause recommended’ bar. The audience heatmap (rows = ICP segments, columns = channels) is colored by ROAS so saturation and gaps are obvious at a glance. Click any creative for a 30-day performance line chart and per-audience breakdown.

3. Generate variants and brief design

Click Generate Variant on any fatigued creative and three AI-drafted concepts appear, each with format, hook angle, and visual direction. One click copies the brief to clipboard ready for Figma or your designer.

60-second Loom

60-second flow: tearsheet loads with 16 creative tiles plus the audience heatmap → sort by CPL → top tiles shuffle → filter to LinkedIn → grid filters to 6 tiles → click a top creative → modal shows 30-day CPL line chart plus audience split → close → click a fatigued tile’s Generate Variant → 3 AI-drafted variant concepts appear → click Brief Design Team → clipboard confirmation toast.

Loom embed coming soon — until then, click through to the live demo.

Free build spec

Get the full build spec PDF

One-page PDF with the architecture, the tech stack, the timeline (2–3 weeks), and the investment range ($9,990 – $25,000). Sent to your inbox in under a minute.

Who it’s for

B2B SaaS demand-gen leaders running ads across LinkedIn + Meta + Google, growth marketing teams managing creative ops, agencies running creative testing for clients, and in-house creative directors who need objective performance data to push back on stakeholder gut-feel.

Tech under the hood

Next.js 15TypeScriptTailwind CSSLinkedIn Ads APIMeta Marketing APIGoogle Ads APITikTok Marketing APIBigQueryAI image generation pipelineClaude Sonnet 4.6

Frequently asked questions

How is creative fatigue calculated?

Fatigue is a per-creative composite of impressions delivered, frequency, CTR decay vs first-week baseline, and audience reach exhaustion. We surface a single 0-100 fatigue score and a recommended-refresh-by date per creative.

Does the AI generate actual ad images?

The demo generates variant concepts (format, hook angle, visual direction) ready to brief into your designer or a generative-AI pipeline like Midjourney or Adobe Firefly. We can wire end-to-end image generation in a follow-on engagement once we know your brand-asset library and approval workflow.

Can it integrate with our DAM or Figma library?

Yes. Variant briefs export as JSON, Markdown, or directly into a shared Figma file via the Figma API. Brand-aware variants pull from your approved asset library (Bynder, Brandfolder, Frontify, or a shared Drive folder) so generated concepts stay on-brand.

How does this compare to AdEspresso or Madgicx?

AdEspresso and Madgicx focus on single-channel Meta testing. This tearsheet is multi-channel (LinkedIn + Meta + Google + TikTok), creative-first (not campaign-first), and ships the variant-briefing layer so the creative team is part of the optimization loop, not waiting downstream for a brief.

Want one of these in your business?

We’ll scope, build, and hand off a production-ready system in 3–4 weeks.

Book a Strategy Call
Scroll to Top