Sign in

/Catalogue/Prompt/irinabuht12-oss/irinabuht12-oss-marketing-skills-device-performance-split

Origin: github
Communityv0.1.0Prompt github.com/irinabuht12-oss/marketing-skills/tree/main/skills/device-performance-split

device-performance-split

Analyzes how your campaigns perform across mobile, desktop, and tablet. Identifies where device performance diverges significantly and recommends bid adjustments, campaign splits, or creative/landing page changes to capture the gap. Platform: Google and Meta.

by irinabuht12-oss · updated 1d ago · imported from GitHub

Watch · 0 Send for moderation
Installs0+0/7d
Security score98/100
Retention 14d0%
GitHub stars2K

Skill logic

Execution graph
User message
Prompt rewrites behaviour
Response

SKILL.md

View on GitHub ↗

25/ Device Performance Split — Google + Meta

What it does

Analyzes how your campaigns perform across mobile, desktop, and tablet. Identifies where device performance diverges significantly and recommends bid adjustments, campaign splits, or creative/landing page changes to capture the gap.

How it works

Claude segments all your campaign data by device type and compares CPA, CVR, CTR, bounce rate, and average order value. It identifies campaigns where one device significantly outperforms or underperforms others, then determines whether the issue is ad-side (creative not working on mobile), landing-page-side (poor mobile experience), or audience-side (different intent by device).

Practical example

Your B2B lead gen campaigns show desktop CPA at $41 with 3.8% CVR and mobile CPA at $78 with 1.6% CVR. But mobile accounts for 58% of clicks because that's where the impressions are. Claude digs deeper and finds the landing page form has 9 fields that are painful on mobile, and the page load time on mobile is 4.2 seconds vs 1.8 on desktop. Recommendation: create a simplified mobile form (3 fields), fix mobile page speed, and reduce mobile bid adjustments by 25% until the fixes are live to stop the bleeding.

What you get back

  • Device performance comparison across all campaigns with key metrics
  • Campaigns with the largest device performance gaps flagged
  • Root cause analysis: is the gap from creative, landing page, or audience differences
  • Bid adjustment recommendations by device per campaign
  • Campaign split recommendations for cases where devices need completely different strategies

When to use it

  • When CPA is higher than expected and you haven't checked device splits
  • After landing page redesigns to verify mobile experience didn't break
  • When mobile traffic share increases but conversions don't follow
  • For ecommerce accounts where mobile browsing vs desktop purchasing creates attribution confusion

Data access (Ryze MCP)

This skill works best with live account data. Connect the free Ryze MCP once and Claude reads your Google Ads, Meta Ads, GA4 and Search Console directly:

  • claude.ai / Claude Desktop: Settings → Connectors → Add custom connector → https://connector.get-ryze.ai/mcp
  • Claude Code: claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp
  • Cursor: Settings → MCP → add the same URL

Setup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp

Discussion

No comments yet — start the thread.

Sign in to join the discussion.

/More from irinabuht12-oss/marketing-skills

irinabuht12-oss· 1d agoCommunity
ab-test-analyzer

Prompts · v0.1.0

Statistical significance calculator for A/B test results with sample size requirements, segment breakdowns, and hypothesis generation. Use when feeding test results, checking statistical significance, calculating sample sizes, analyzing experiment outcomes, or generating next test ideas based on results. Platform: Google and Meta.

#ai-visibility#claude-code#claude-desktop

0 2K
irinabuht12-oss· 1d agoCommunity
ab-test-setup-and-analysis

Prompts · v0.1.0

Designs statistically valid split tests for ads, audiences, landing pages, or bid strategies. Calculates required sample sizes before you start, monitors results during the test, and calls winners when statistical significance is actually reached — not when you feel like one is winning. Platform: Google and Meta.

#ai-visibility#claude-code#claude-desktop

0 2K
irinabuht12-oss· 1d agoCommunity
account-structure-review

Prompts · v0.1.0

Evaluates your campaign and ad set structure against your actual goals and budget. Flags over-segmentation that fragments your data, under-segmentation that hides performance differences, budget allocation issues, and consolidation opportunities that would improve algorithmic delivery and your ability to optimize. Platform: Google and Meta.

#ai-visibility#claude-code#claude-desktop

0 2K
irinabuht12-oss· 1d agoCommunity
ad-copy-variant-generator

Prompts · v0.1.0

Analyzes your top performing ads, identifies what's working in the hooks, CTAs, messaging angles, and formats, then generates new variants that follow the same winning patterns while introducing enough variation to test meaningfully. Platform: Google and Meta.

#ai-visibility#claude-code#claude-desktop

0 2K