LinkedIn Ads get an AI power-up: How Claude Code unlocks hyper-targeting at scale

Jul 29, 2026 · Exit Five
🎧 PodShort 31 min squeezed to 2 AI SprinklerAS Marketing Automation New
Episode artwork
Anthony Blatner
Founder at Speedwork Social
Exit Five
31 min squeezed to 2
Full episode from Exit Five
Quotable Moments

The more you can closely align your marketing materials with who you're targeting, the more resonance is going to be there, and every ad algorithm's going to give you a cost benefit when you have that.

Anthony BlatnerFounder at Speedwork Social
08:00

People don't necessarily want to be reading AI-generated stuff... they want to hear from other humans.

Anthony BlatnerFounder at Speedwork Social
18:00

If you're able to take this and double your CTR, you can usually get your CPC in half. So you might save half your ad cost by doubling your CTR by taking this segmented approach.

Anthony BlatnerFounder at Speedwork Social
29:00
Key Insights
  • Using Claude Code allows marketers to connect to any API, including LinkedIn Ads, to extract more granular data than available in the UI for advanced analysis and optimization.
  • Automating bid management with AI, running twice a week, can identify opportunities to lower bids for better-performing ads or raise them for under-spending areas, leading to cost savings.
  • AI can help overcome production limitations in creating personalized LinkedIn ad campaigns, allowing marketers to scale from a few campaigns to hundreds by templating and replicating assets.
  • Personalizing landing pages and ad copy with AI, even if the core offer is the same, significantly increases engagement rates and reduces cost per click on LinkedIn.
  • Leveraging CRM data, email conversations, and call transcripts as inputs for AI content generation can produce highly accurate and human-sounding ad assets, avoiding 'AI slop'.
  • For companies with modest budgets, starting with a small grouping of highly targeted campaigns using thought leader ads can yield significant cost savings and better engagement.
  • AI can be used to build targeted company lists for LinkedIn Ads, especially for niche segments where clear industry filters don't exist, by analyzing company names and website URLs.
  • Doubling your click-through rate (CTR) on LinkedIn Ads can effectively halve your cost per click (CPC), making investment in personalization and quality content a direct cost-saving strategy.
Metrics Mentioned
  • LinkedIn's campaign limit is $10 per day per campaign. (This is a budget constraint for scaling personalized campaigns.)
  • Doubling CTR can halve CPC. (This highlights the cost-saving potential of improving ad quality and personalization.)

RevBots.ai View:

  • Classic AI Sprinkler play: bolting AI onto existing LinkedIn workflows without full stack integration.
  • Tab Hoppers will struggle with API connections but can start with manual audience segmentation.
  • SaaS Hoarders using multiple martech tools can connect silos via AI for unified targeting.
  • True ARM adoption would integrate this with conversational AI for closed-loop attribution.
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