Ads Creative Performance

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name: creative-performance-analyzer description: Analyze creative performance post-launch across Meta (Facebook/Instagram), TikTok Ads, YouTube Ads, Google Ads, and Amazon Ads inventory.

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Ads Creative Performance

Purpose

Core mission:

winner loser detection, fatigue signals, next-test matrix

This skill is specialized for advertising workflows and should output actionable plans rather than generic advice.

When To Trigger

Use this skill when the user asks for:

ad execution guidance tied to business outcomes

growth decisions involving revenue, roas, cpa, or budget efficiency

platform-level actions for: Meta (Facebook/Instagram), TikTok Ads, YouTube Ads, Google Ads, Amazon Ads

this specific capability: winner loser detection, fatigue signals, next-test matrix

High-signal keywords:

ads, advertising, campaign, growth, revenue, profit

roas, cpa, roi, budget, bidding, traffic, conversion, funnel

meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp

Input Contract

Required:

product_or_offer

target_audience

placement_scope

Optional:

existing_assets

brand_tone

prohibited_claims

creative_constraints

Output Contract

1. Creative Objective 2. Angle and Hook Set 3. Asset Specification 4. Test Variant Plan 5. Creative QA Notes

Workflow

1. Anchor creative goal to funnel stage and KPI. 2. Generate angle family and hook variants. 3. Map each angle to placement format requirements. 4. Define variant matrix and test order. 5. Add quality and compliance checkpoints.

Decision Rules

If audience is cold, prioritize problem-agitation and proof-first hooks.

If retargeting stage, prioritize offer clarity and urgency mechanics.

If format limits are strict, simplify message hierarchy to one CTA.

Platform Notes

Primary scope:

Meta (Facebook/Instagram), TikTok Ads, YouTube Ads, Google Ads, Amazon Ads

Platform behavior guidance:

Keep recommendations channel-aware; do not collapse all channels into one generic plan.

For Meta and TikTok Ads, prioritize creative testing cadence.

For Google Ads and Amazon Ads, prioritize demand-capture and query/listing intent.

For DSP/programmatic, prioritize audience control and frequency governance.

Constraints And Guardrails

Never fabricate metrics or policy outcomes.

Separate observed facts from assumptions.

Use measurable language for each proposed action.

Include at least one rollback or stop-loss condition when spend risk exists.

Failure Handling And Escalation

If critical inputs are missing, ask for only the minimum required fields.

If platform constraints conflict, show trade-offs and a safe default.

If confidence is low, mark it explicitly and provide a validation checklist.

If high-risk issues appear (policy, billing, tracking breakage), escalate with a structured handoff payload.

Code Examples

Creative Brief Example

creative_id: CR-001 angle: pain_to_outcome hook: "Stop wasting ad budget in week one" formats: [9:16_video, 1:1_image]

Variant Matrix

V1: hook_change V2: CTA_change V3: visual_proof_change

Examples

Example 1: New hook generation

Input:

Existing creatives have high frequency fatigue

Need fresh top-funnel hooks

Output focus:

new angle families

hook library

test priorities

Example 2: Asset adaptation by placement

Input:

One hero concept, multiple platforms

Need format-safe variations

Output focus:

per-platform format specs

copy-length adaptation

QA checklist

Example 3: Pre-launch creative scoring

Input:

12 creatives pending launch

Limited review bandwidth

Output focus:

quality scores

reject/rework decisions

launch candidate shortlist

Quality Checklist

[ ] Required sections are complete and non-empty

[ ] Trigger keywords include at least 3 registry terms

[ ] Input and output contracts are operationally testable

[ ] Workflow and decision rules are capability-specific

[ ] Platform references are explicit and concrete

[ ] At least 3 practical examples are included

Example 1: New hook generation

Input:

Existing creatives have high frequency fatigue

Need fresh top-funnel hooks

Output focus:

new angle families

hook library

test priorities

Example 2: Asset adaptation by placement

Input:

One hero concept, multiple platforms

Need format-safe variations

Output focus:

per-platform format specs

copy-length adaptation

QA checklist

Example 3: Pre-launch creative scoring

Input:

12 creatives pending launch

Limited review bandwidth

Output focus:

quality scores

reject/rework decisions

launch candidate shortlist