Marketing Agents Masterclass (GROW your startup)
I bring Cody Schneider back on the show to build two marketing agents end to end, live. The first one monitors LinkedIn posts from creators in your category, scrapes everyone who engages, waterfalls those profiles into emails and phone numbers, and then runs cold email and LinkedIn DMs with an agent managing the replies. The second one turns internal conversations, sales calls, and podcast transcripts into a daily organic LinkedIn content engine across an entire team. Cody names every tool in the stack, shares the real infrastructure costs, and shows the actual terminal commands he runs in Claude Code. By the end you have two systems you can go set up today for your startup. Timestamps 00:00 – Intro 02:27 – Agent Number One: Cold Outbound Agent 04:26 – Finding Creators in Your Category on LinkedIn 09:09 – Apify Explained and the API Maestro Actors 10:59 – Extracting Engagers Live in Claude Code 12:59 – Agent Versus Automation 15:45 – Waterfall Enrichment: GitLeads, Apollo, Origami 17:13 – Compliance, Data Brokers, and What Stays Legal 21:40 – Waterfall Enrichment: Million Verifier and LeadMagic 25:38 – The Cold Outbound Infrastructure 28:33 – Software Factories and Marketing as Code 31:41 – Agent Number Two: The Organic LinkedIn Engine 39:34 – The Power of Earned Media 42:31 – Closing Thoughts Key Points • LinkedIn engagement is a hand raise, so it beats firmographics as a targeting signal. • Ten to twenty source accounts give you roughly 80% surface area coverage of an industry. • Waterfall enrichment moves cheapest to most expensive: GitLeads, then Apollo, then Origami or Prospeo. • Roughly $200 a month covers sending software plus inboxes for about 10,000 cold emails. • An agent here is plain code on a cron job with an LLM attached where judgment is needed. • Organic content works best when it starts from real human source material like calls, Slack, and transcripts. Numbered Section Summaries 1. Signal-Based Outbound: Cody opens with the state of cold email: reply rates are down across every channel as AI-generated volume floods inboxes. His answer is to target intent signals instead of static firmographics, using LinkedIn likes and comments as evidence that a person cares about a specific topic right now. 2. Sourcing the Right Creators: He walks through picking 10 to 20 creators and company pages whose audience matches your customer, using his own feed as the filter. A handful of outliers in any niche capture most of the relevant audience, so chasing full coverage adds cost with thin marginal return. 3. Scraping Engagers with Apify and Claude Code: Apify is the scraping API layer: one key, endpoints for LinkedIn, Twitter, and more. Cody uses API Maestro's LinkedIn actors for profile posts, post reactions, and post comments, then runs a script in Claude Code that takes a post URL and returns deduped engager profiles. In the demo he pulls 63 raw engagers from a single post. 4. Waterfall Enrichment and Verification: LinkedIn URLs go to GitLeads first, then Apollo, then Origami or Prospeo for whatever remains, with LeadMagic added for mobile numbers. Everything then passes through Million Verifier so only valid addresses get sent to, which protects deliverability. His worked example: 50 profiles yields 32 emails at the first step, 10 more at the second, and the rest continue down the chain 5. Inbox Infrastructure and Cost: Cody buys burner domains and inboxes through Hypertide, Inbox Kit, or Instantly so cold sending stays fully separated from the company domain. He keeps four lanes apart: cold email, email marketing, transactional, and the domain the team runs the business on. Cost lands around $100 a month for infrastructure covering roughly 10,000 sends, plus Instantly's $97 tier. 6. The Organic Content Engine: For teams who prefer inbound, Cody interviews each teammate weekly, extracts insights from the transcript, drafts posts with an LLM, and schedules them to individual LinkedIn accounts through Ordinal. Ordinal's analytics flow back to the agent so winning topics get remixed, which mirrors what a great social media manager always did: prospect ideas, publish, read the data, and recycle proven posts on a 90-day cadence. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND CODY ON SOCIAL: Cody’s startup: https://www.graphed.com/ X/Twitter: https://x.com/codyschneiderxx Youtube: https://www.youtube.com/@codyschneiderx
Video lezen · Transcriptie en inzichten
Deze aflevering heeft een volledige transcriptie en AI-inzichten
Gratis account · geen creditcard nodig · 150 credits bij aanmelding, genoeg om deze aflevering te ontgrendelen
- 📄 Volledige transcriptie met tijdcodes
- ✨ AI-samenvatting, trefwoorden en mindmap
- 💡 Conclusies en citaten
- Spreker 1
- Spreker 2
- Spreker 1
Tijdlijn van de aflevering
Introduction to marketing agents as the new coding agents
- Marketing agents are becoming as important as coding agents because they can automate customer acquisition, allowing founders to focus on product development.
- This episode promises to teach two end-to-end marketing agents: one for cold outbound via email and LinkedIn, and another for organic social content creation.
- Cody Schneider emphasizes no gatekeeping, sharing all tools and strategies openly.
Strategy: using LinkedIn engagement as a hand-raise signal
- Cold email reply rates are declining due to AI slop flooding the market, so standing out requires targeting signals like LinkedIn engagements.
- Engaging with relevant content is a hand-raise indicating interest, which is more effective than traditional firmographic targeting.
- The strategy involves monitoring posts from influencers in your niche and extracting engagers as potential leads.
Building the lead sourcing system with Ampify
- Ampify is a scraping API that allows you to extract LinkedIn post reactions and comments, providing a list of engagers.
- You can use coding agents like Claude Code or Codeex to automate the process of pulling engagers from specific posts.
- The system runs on a daily cron job, making it an agent rather than a one-time automation.
Kernbegrippen
- marketing agents— Core concept of the episode: using AI agents to automate marketing tasks.
- cold outbound— Primary use case for the marketing agents described.
- LinkedIn— Main platform for sourcing leads and running outbound campaigns.
Opvallende citaten
We can send about 10,000 cold emails with them for about $100 a month in infrastructure costs on the inbox side.
🤯— Reveals the surprisingly low cost of cold email infrastructure, making it accessible to small businesses.
If you were paying for those impressions on platform, for example, on LinkedIn, it's like $22 per thousand impressions is the average, right? So like every post that you get, even with an account that's like 500 followers, you can get a,000 impressions. That's like $20 that you just like put into your pocket for free, right?
🤯— Highlights the tangible monetary value of organic social media impressions, which many overlook.
Praktische conclusies
📧Cold Outbound
Use LinkedIn engagement as a signal for hand-raisers interested in your niche.
Identify 10-20 influencers in your niche and list their LinkedIn profile URLs.
Waterfall enrichment (GetLeads.io → Apollo → Lead Magic) maximizes email and phone find rates.
Set up accounts on GetLeads.io and Apollo, and test with a sample of 50 LinkedIn URLs.
📝Organic Content
Interview team members to source authentic insights for content.
Schedule a 30-minute call with a colleague to record their weekly learnings.
Use LLMs to turn transcripts into LinkedIn posts.
Use Claude or GPT to generate 5 post drafts from a transcript.
Transcripties en inzichten zijn door AI gegenereerd en kunnen fouten bevatten. De nauwkeurigheid hangt af van de audiokwaliteit en verstaanbaarheid van sprekers; bij twijfel is de oorspronkelijke audio altijd leidend.
Afleveringen en video's klaar om te lezen
Podcastafleveringen

The shape-shifting sounds of the accordion | Maria Telesheva
TED Talks Daily
27 aug 202613:22EN
Bad Maps and Good Intentions; Sophie Radice on the trials and tribulations of life beyond the comfort zone S5 E11
How to have Extraordinary Relationships
26 mei 202657:25EN
Scaling a $300K Moving Company in 60 Minutes
The Game with Alex Hormozi
14 jul 202634:15EN
BENWAL
Bakkie Bakkie
1 dec 20251:28:00NL
商业小样43 | AI时代,谁在给服务器“降温”
商业就是这样
21 jun 202612:16ZH
#71 Die Deutschen im Amerikanischen Unabhängigkeitskrieg
Wer wir sind und warum das nicht klappte ...
19 aug 202644:55DE
Video's

Everyone Is Still Undersizing the AI Market | Eric Vishria
Invest Like The Best
11 aug 20261:17:53EN
Christopher Nolan talks narrative decisions, film critics and whether he Christianised The Odyssey
Nolan Archives
31 jul 202617:38EN
OpenAI’s Sam Altman Talks ChatGPT, AI Agents and Superintelligence — Live at TED2025
TED
12 apr 202547:42EN
#36 Ludwig der Bayer - der dem Papst trotzt
99 mal Geschichte
11 dec 202559:57DE
从「上瘾模型」到「专注力训练」,如何在被算法理解的世界里重新找回主动?| 英文访谈 S9E33
声动活泼
16 okt 202550:48ZH-Hans