In the Pit with Cody Schneider | Marketing | Growth | Startups

Cody Schneider
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In the Pit with Cody Schneider | Marketing | Growth | Startups

In the Pit shares what founders and marketers are seeing from the front lines. Join host Cody Schneider for personal brain dumps and conversations with business leaders to learn the strategies and tactics being used to acquire first customers, scale growth, and build thoroughbred marketing organizations. Listen down. Level up.

  1. 1D AGO

    He Built a 1,000,000+ User Startup with ONLY 3 People and AI

    Join me as I chat with Yoann Pavy, the growth mastermind behind AI Apply and ex-Deliveroo & Depop head of growth. Timeline 00:00 – AI tooling’s golden age (and why it’s overwhelming) 00:31 – Introducing Yo, the “most gangster” consumer marketer I know 00:45 – What you’ll learn: short‑form content, paid ads, automations 01:23 – Sponsor: Talent Fiber makes offshore hiring effortless 02:12 – Yo’s creative AI spotlight: VO3 videos & gorilla vlogs 04:46 – Humans vs. AI avatars in paid videos (spoiler: humans still shine) 07:20 – Building your creator pyramid with Sideshift & Shortimize 10:00 – Automating code changes via “Jarvis” in Slack 14:38 – Scaling organic content: thousands of posts, not dozens 18:00 – Product‑channel fit: build the media first, product second 20:30 – Automating international growth: 20+ languages in weeks 24:00 – Filtering AI noise: focus on what’s already working 27:15 – The biggest gap: corporate brands vs. startup agility Key Points • AI creatives are exploding—VO3 videos hit millions of likes fast. • Human spontaneity still outperforms AI‑only videos—for now. • Slack‑based AI agents (“Jarvis”) deploy code, update copy, spin up PRs. • Automate localization: add new languages weekly without human translators. • Scale organic distribution by multiplying creators and formats. • Product‑first mindset flips: media channel drives features. • Startups win by sprinting on AI while corporates stall in red tape. Deep‑Dive Sections Creative AI in Paid Ads Verdict: 🔥 Underrated • VO3‑generated TikTok vlogs racked up 4M likes in days • AI statics (before‑after sliders) crank out ad assets at scale • Humans still lead on nuance—mix both and test relentlesslyAutomations & Internal AI Agent Verdict: 🚀 Game‑changer • “Jarvis” in Slack handles code tweaks, pull requests, image swaps • One‑line commands push new footer tabs and copy revisions • Frees marketers to iterate strategy, not deploymentsScaling Organic Content Verdict: 💡 Must‑do • Move from 10 posts/month to 1,000+ by cloning formats across creators • Use Shortimize to track views cooking days after publish • Volume on TikTok & LinkedIn is the new SEO—play the numbers gameProduct‑Channel Fit Mindset Verdict: 🔄 Reversed logic • Prototype media hooks (e.g. resume‑kit demos) before building features • Validate with viral tests—first video hit 700K views in 24h • Bake winning social formats into product roadmapFuture of AI‑Powered Growth Verdict: ⏳ On the horizon • Multi‑agent customer personas could replace focus groups • Meta’s AI for one‑to‑one ad creatives will upend engagement • Corporates risk being left behind as startups sprintNotable Quotes “It’s never existed like it has now. But it’s extremely overwhelming.” —HOST “I call it Jarvis because it’s sexy—I just ask Slack to add a tab and it’s done.” —Yoann Pavy “Once you have two or three of these formats, you can go viral any given day.” —Yoann Pavy Sponsor Block This episode is brought to you by Talent Fiber. Hire offshore full‑stack devs with 7+ years’ experience, US‑time‑zone availability, perfect English, and a solid replacement guarantee. Learn more at talentfiber.com or click the link below. FIND ME ON SOCIALLinkedIn: linkedin.com/in/codyxschneiderX: x.com/codyschneiderxx FIND Yoann PAVY ON SOCIAL LinkedIn: linkedin.com/in/yoannpavy X: x.com/yoannpavy Website: aiapply.co

    53 min

  2. 5D AGO

    50 ai agents are running this guy's business. no employees?

    In this episode, Adam Silverman — co-founder & CEO of Agent Ops — dives deep into what “AI agents” actually are, why observability matters, and the very real marketing & growth automations companies are shipping today. From social-listening bots that draft Reddit replies to multi-agent pipelines that rebalance seven-figure ad budgets in real time, Adam lays out a practical playbook for founders, heads of growth, and non-technical operators who want to move from hype to hands-on results. Guest socials• LinkedIn: https://www.linkedin.com/in/adamsil• 𝕏 / Twitter: https://x.com/AtomSilverman• Company: https://agentops.aiTimestamps 00:00 — Defining “agents”: reasoning-powered automations, not AGI00:54 — Introducing Adam & the 50+ internal agents his team uses daily03:32 — “Vibe marketing” and why every employee will soon have an AI assistant05:18 — Live example: an inbound-lead-scoring agent that books calls automatically08:11 — Metric shift: revenue / agent & revenue / token10:45 — Three-point filter for agent ROI: expensive, repeatable, low-risk tasks12:56 — Social-listening agents for Reddit, X & forums (human-in-the-loop posting)16:14 — OrcaBase + TripleWhale: agentic ad-spend rebalancing for e-com21:29 — WhisperFlow → Claude to generate entire email sequences in minutes25:04 — Multi-agent systems & OpenAI Agents SDK (Crew AI, Llama-Index, etc.)40:12 — Tech stack cheat-sheet: AgentQL, BrowserBase, Composio, Anthropic Claude 3, Gemini 1.5 Pro48:07 — Internal hackathons & “minimum viable post” culture for continuous learning Key Points • Observability is table-stakes. Enterprises won’t deploy agents without 99.99 % reliability, so logging, evals & debugging are critical.• Marketing automations that already work:– Social-listening + auto-response (Reddit, X “Radar”)– Lead-scoring & routing directly inside Superhuman– Real-time ad-budget re-allocation with TripleWhale’s OrcaBase agents– UGC ad generation at ¢-scale via HeyGen API• Tooling matters: mix-and-match lower-cost LLMs (Gemini/Claude) for chain-of-thought tasks and premium models (GPT-4o) for reasoning or code.• Multi-agent ≠ many prompts. Think specialized “teammates” passing JSON, each with its own LLM, tools & memory.• Hire for AI-nativity, not job titles. A VA fluent in Cursor or WhisperFlow can 10× output overnight.• Run micro-hackathons. One day a month of structured tinkering keeps teams ahead of vendor fluff. Six Practical Plays You Can Steal Expensive + Repeatable + Low-Risk AuditMap every workflow; circle anything that costs $$$, repeats weekly, and won’t tank the business if it fails. Start there. Social-Listening AgentRadar (X) or manual Boolean search → Agent drafts replies → human approval → schedule via Buffer/Zapier. Ad-Spend RebalancerPipe TripleWhale or GA4 ROAS data into an agent that shifts budget between Meta, Google & TikTok every 60 min. Outbound “Industry Brief” Generatoryou.com’s Ari agent → 5-page PDF tailored to the prospect’s vertical → attach in first-touch email. Auto-Follow-Up ComposerFathom meeting transcript + Superhuman “Ask AI” → ready-to-send recap with action items. Internal Hackathon Framework• 15 min YouTube tutorial• 45 min build using Gumloop / Lutra AI (no-code)• Demo & share Loom — highest-impact sprint gets pushed to prod. Notable Quotes “We’ve got more agent headcount than human headcount.” — Adam Silverman“Stop talking AGI. Look for tasks that are expensive, repeatable, and low-risk — that’s where agents print money.”“Your revenue per employee metric just became revenue per token.”“Build once, sell twice: every podcast, video or doc should spawn emails, tweets and a downloadable PDF.” 2025 Takeaway: The winners won’t be the teams with the biggest models; they’ll be the teams that turn everyday processes into measurable, observable agent workflows — and iterate on them faster than their competitors can finish a slide deck.

    53 min

  3. JUL 1

    the 100x marketer: combining vibe marketing, ai automation and custom tools to build a $6M ARR company

    In this episode, Sandra Dajic, Head of Marketing at Chatbase, dives deep into the world of "vibe marketing"—a movement at the intersection of growth, automation, and AI tooling. She shares how she’s building AI-powered workflows to supercharge her marketing efforts, from automated ad competitor dashboards to visual content generation using GPT-4. With a background in both VC-backed and bootstrapped startups, Sandra outlines practical strategies for creating a marketing engine that feels like a team of 100—run by just one person. Timestamps: 00:00 - Introduction: The 100x marketer and automation trend 01:40 - Sandra's AI-powered marketing workflows 04:45 - Automating ad analysis with Lovable, Make.com, and GPT 09:12 - Why “vibe marketing” matters now 13:20 - How to scale marketing without engineering resources 16:45 - Building "AI Ninja": Sandra's personalized marketing agent 21:05 - Using AI to streamline press, partnerships, and outreach 27:50 - How Sandra accelerated visual design workflows using GPT-4 31:00 - The power of personal brand and founder-driven marketing 34:15 - Sandra’s experiments with LinkedIn growth strategies 39:22 - Automating content and measuring marketing effectiveness Key Points: Vibe marketing = combining growth strategy with AI automationSandra built a custom dashboard to track and analyze ad creatives across platformsTools used: Lovable for browser agents, Make.com for workflows, GPT-4 for automationAI agents streamline repetitive marketing tasks: outreach, content, visuals, competitor trackingEmphasis on storytelling, personal brand, and focusing on one validated channel at a timeSandra shares tactical tips for LinkedIn growth and content structuringAI enables solo marketers to match output of large teams, affordably and fastNotable Quotes: “I want to automate everything that I don't love doing. My job is to tell the story of the product.” – Sandra Dajic “If you define your workflow, AI can scope the rest. That’s the vibe marketing unlock.” – Host “Personal brand is your biggest asset as a founder—it’s the one thing that sticks.” – Sandra DajicGuest Links: • X: @takotreba • LinkedIn: Sandra Dajic

    44 min

  4. JUN 25

    building a $10,000,000 ARR company with only paid ads

    In this episode, I chat with Niels Klement (Head of Growth, Perspective) about how “app-feel” mobile funnels—with quiz questions, instant personalization, and 1-second load times—are crushing the old landing-page model. We dig into paid-ads math, creative iteration, and why a single 90-second video can double your business. Perfect for agencies, SaaS founders, and anyone chasing dollar-in → five-dollars-out predictability. Timestamps 00:00 – Intro & why most builders fail on mobile01:00 – Perspective’s path to €10 M ARR / 6 000 customers02:30 – From web-design agency to quiz-funnel SaaS06:00 – Interactivity, sunk-cost bias & personalization09:30 – Page-speed math: 5 s vs 1 s loads12:30 – Designing funnels that feel like native apps17:30 – Best-fit customers: agencies & B2B teams22:00 – Paid ads vs organic: guaranteed distribution27:00 – Creative ops: turning 1 ad into 100 variants33:00 – Dog-fooding Perspective to grow Perspective38:00 – AI, “vibe-marketing,” and small-team scale42:00 – Free 14-day trial & closing remarksKey Points (to skim fast) Mobile-first, one-page apps load ~1 s and behave like IG Stories.Quiz/configurator flows lift conversions and qualify leads.1 s load time ≈ 2.5× conversion—that’s a $1 M → $2.5 M funnel without extra spend.Paid ads = best first lever for predictable, measurable growth.Creative flywheel: launch 100 assets, kill 98, scale the 2 that print money.Dog-food advantage: marketing uses Perspective daily, feeding product loops.Notable Quotes “A 90-second ad can change the trajectory of your entire business.” – Niels Klement“Remove the right friction—interactive questions—and conversions jump.” – Niels Klement“Paid traffic is guaranteed distribution. If the math works, keep printing customers.” – Niels KlementQuick Funnel Framework Craft an irresistible offer (free trial, template, case study).Map the funnel steps backward from that goal.Add interactive questions to personalize and pre-qualify.Obsess over load speed and mobile UX.Measure, prune, scale—let data pick winners.Guest SocialsLinkedIn – https://www.linkedin.com/in/nielsklement/ Perspective – https://www.perspective.co/

    49 min

  5. JUN 20

    Building Digital Gravity: How Startups Create Mass and Momentum

    In this episode, we’re joined by Jordan Mix, partner at Late Checkout, for an in-depth discussion on how startups can build a million-dollar brand in today’s hyper-competitive landscape. Jordan introduces the concept of digital gravity—a framework for creating “mass” on the internet that draws customers into your brand’s orbit. The conversation explores how companies can move beyond linear funnels and embrace orbit-based growth, where repeated brand interactions across multiple channels drive purchasing decisions. Together, we break down actionable strategies for generating traction, including the smart use of AI agents, automation, and vibe marketing. Jordan shares insights on balancing transactional marketing (like paid ads and cold outreach) with long-term brand-building investments, while emphasizing the role of creators, content flywheels, and the importance of being discoverable in AI-driven search results. Timestamps: 00:00 - Introduction: Building a million-dollar brand in 2025 00:27 - Meet Jordan Mix and overview of Late Checkout 01:10 - The idea of digital gravity and mass in the AI era 03:00 - Funnels vs. orbits: How people really buy 06:15 - Automation, AI agents, and vibe marketing explained 10:45 - AI SEO, branded search, and surviving the law of s****y click-throughs 15:20 - Building discovery flywheels and creator-driven growth 20:30 - Strategies for leveraging YouTube, Reels, and creators at scale 25:00 - Managing creator risk and internal content strategies 28:00 - How to start creating digital gravity without overwhelm Key Points: • Digital Gravity Framework — Customers enter your orbit through repeated brand interactions, not linear funnels. The goal is to create mass (content, tools, assets) that attracts and retains attention. • AI Agents + Automation — Jordan highlights practical uses of AI agents, like automating outreach campaigns, creating dynamic ad workflows, or scraping competitive data to inform marketing. • Transactional vs. Brand Marketing — Early traction often comes from transactional tactics (ads, cold outreach), but long-term success requires investment in brand and content that lowers acquisition costs over time. • SEO in the Age of AI — With LLMs scraping Google’s top pages, brands need to dominate bottom-of-funnel keywords and question-based queries to appear in AI search results. • Creator-Led Growth — Partnering with creators can trigger a viral cascade where hundreds of pieces of content are generated without direct cost, building digital gravity passively. Key Takeaway: Startups should focus first on finding where their customers spend time, test 2-3 channels, and double down on what works. From there, build repeatable processes and automate intelligently. The goal: maximize digital mass where it matters most, so your brand becomes the natural choice when buyers are ready. Notable Quotes: • “Funnels create linear growth. If you want exponential growth, you need digital gravity.” — Jordan Mix • “Where are your customers? Build as much mass as possible in that space.” — Jordan Mix • “Every ring you put out is like a mini-funnel — together they form the black hole of your brand.” Guest Socials: X: @jrdnmix LinkedIn: https://www.linkedin.com/in/jordan-mix1/

    34 min

  6. JUN 10

    ai automation builds 100+ ads in 24hrs - research, creative, and data analytics

    In this episode, I chat with Jonathan, a rapidly rising expert on Twitter known for building and scaling AI-driven marketing automations using tools like n8n and custom API integrations. We explore the practical realities of "vibe marketing" automation beyond hype, revealing how real-world workflows are being constructed today and why true expertise in marketing is essential for effective automation. Listeners will gain insights into automating audience research, creative production, and ad performance analysis at scale, as well as actionable tips for getting started and leveraging AI tools to 10x their output. Timestamps (00:00) – Introduction to Jonathan and Marketing Automation The host introduces Jonathan and sets the stage for a discussion on modern marketing automation tools and why they’re currently so powerful. (02:45) – Jonathan’s Background and Automation Journey Jonathan shares how he got into marketing automation, his paid ads background, and the evolution from manual work to automation. (07:30) – Key Tools and Stack for Automation The host and Jonathan discuss their tech stacks, highlighting n8n, railway.com, and custom front-end interfaces to streamline automation. (12:15) – Top Marketing Automation Workflows Jonathan outlines his most effective workflows: audience research, creative generation, and scaling marketing insights. (18:00) – Audience Research Automation: Reddit Scraping and Analysis A deep dive into using n8n to scrape Reddit, filter and analyze discussions, and extract actionable marketing insights and customer language. (25:40) – Twitter Insights Automation How Jonathan automates scraping Twitter for popular posts, identifying top-performing content and structuring it for ongoing content creation. (31:10) – Creative Production Automation Jonathan explains workflows for bulk generating ad variations using OpenAI’s Image Gen API, including reference image analysis and prompt engineering. (38:20) – Custom Front-End Interfaces for Workflows The pair discuss integrating user-friendly front-end UIs (using Lovable or Bolt) with n8n backend automations for client and team use. (44:50) – Automating Ad Performance Analysis Jonathan describes a flow for pulling and analyzing Facebook Ads data, using sub-agents for performance analysis, deep research, and new ad creation. (51:10) – Video Ad Automation and Future Trends A look at how video ad automation is evolving and the current limitations and opportunities, including upcoming tools like Google Veo 3. (56:40) – Speeding Up Workflow Creation with Perplexity and Claude The host and Jonathan discuss using AI (Perplexity, Claude 4) to generate n8n workflow JSON, streamlining the automation development process. Key Points Expertise in Marketing is Essential for Automation: To automate marketing workflows effectively, you need a deep understanding of marketing processes themselves. Only then can you define, script, and automate successful campaigns[1].Automating Audience Research Drives Results: Bulk scraping and analyzing platforms like Reddit and Twitter allow marketers to extract pain points, trigger events, and customer language at scale, informing ad copy and creative direction.Creative Volume is Game-Changing: Automation tools like OpenAI’s Image Gen API enable the generation of hundreds of ad variations, feeding algorithms for higher performance and lower costs.Custom Front-Ends Improve Workflow Accessibility: Building user-friendly interfaces (using tools like Lovable or Bolt) for complex n8n automations makes them accessible to non-technical team members and clients.AI Accelerates Workflow Development: Using AI tools like Perplexity and Claude to generate n8n workflow JSON reduces the time and technical skill required to build sophisticated automations.Human-in-the-Loop Remains Critical: While automation handles the heavy lifting, human oversight is still needed for nuanced analysis, curation, and final ad selection.Notable Quotes Jonathan: “You have to be an expert at that thing to be able to go and actually build out these automations. But when you do that, you can automate 80% of the work that you previously were doing.”Jonathan: “I literally just tell Claude what I want to build, and then it maps it out for me. And then you kind of have a canvas that is like 60, 70, 80% there depending on the complexity.”Cody: “Your customers are your best advertisers, so taking their exact wording and phrases is for sure going to be an effective marketing strategy a lot of the time.”Actionable Takeaways for Founders, Marketers, and Podcasters Start with a Core Marketing Process: Identify a repeatable marketing workflow you fully understand before attempting to automate it.Invest in Audience Research Automation: Use tools to scrape and analyze discussions on Reddit, Twitter, and other platforms to extract customer pain points and language for your messaging[2].Bulk Generate and Test Creatives: Leverage AI to produce hundreds of ad variations, enabling rapid testing and optimization of creative assets.Automate Performance Analysis: Implement workflows to automatically pull and analyze campaign performance data, allowing you to focus on strategy and execution[8].Simplify Tool Accessibility: Build custom UIs for your automation tools to make them accessible for your entire team, not just engineers.Accelerate Workflow Development: Use AI-powered tools like Perplexity and Claude to generate automation scripts and reduce development time.Brought to you by TalentFiber – Hire top offshore engineers with US experience at half the cost of US hires. - talentfiber.comWhere to the find Guest:  https://x.com/vibemarketer_ https://linktr.ee/vibemarketerResources Mentioned https://www.youtube.com/@nateherkhttps://www.youtube.com/@Mark_Kashefhttps://www.youtube.com/@AI-GPTWorkshop/videosRapidAPI – Access a wide range of third-party APIs for quick integrations. - rapidapi.comApify – Scrape websites and extract data at scale. - apify.comTwitterAPI.io – Free and affordable Twitter data scraping tool. - twitterapi.io

    57 min

  7. MAY 20

    AI SEO Crash Course: Search Is Going to Answer Engines, You Need a Plan

    In this episode, I chat with James Cadwallader, co-founder of Profound, about the rise of AI search engines and their impact on traditional search methods. We discuss how tools like ChatGPT and Perplexity are changing user behavior and referral traffic patterns. James shares insights on which companies benefit most from this trend and offers strategies for enhancing brand visibility in AI search results. We explore the importance of tracking bot traffic, creating targeted content, and optimizing metadata to align with AI models' preferences, highlighting the need for brands to adapt to this new digital landscape. 🎧 What You’ll Learn AI Answer Engine DynamicsDistinction between AI chat (LLM-only) and AI answer engines (LLM + web retrieval)Key inflection points like ChatGPT’s web-search launch (Oct 2024)Who Benefits MostIndustries with long research cycles (auto, healthcare, consumer electronics)Tech-savvy early adopters and B2B SaaS customers seeing 3–4× month-over-month growthMeasuring AI ImpactTracking bot-to-human conversions via crawler logs + GA4 or AmplitudeUnderstanding AI referrals as a first touch in your marketing funnelTactical SEO LeversComparative “X vs. Y” articles with optimized metadataCategory-specific source mining (Wikipedia, Reddit, publications)Creating simple, highly structured (markdown-style) content for fast crawler reasoningEmerging Best PracticesImplementing llms.txt and bot-first content feedsBuilding a dedicated AI visibility team—your next marketing department⏱️ Timestamps 00:00 – Intro: The AI search revolution01:00 – AI chat vs. AI answer engines explained03:00 – Case study: ChatGPT mobile growth spike05:00 – Which verticals see the biggest AI referral lift07:00 – Bot crawling: measuring crawler visits + human actions10:15 – How Profound uses synthetic data to map AI sourcing14:30 – Tactical content strategies: from comparative posts to digital PR18:45 – The future of AI SEO: protocols, agents, and team structures22:10 – Action steps: What founders & marketers must do now🎙️ Guest Profile James Cadwallader Co-founder of Profound, the “Ahrefs/SEMrush for AI answer engine visibility.” James leads R&D on mapping how LLMs retrieve and cite web content, helping enterprise brands optimize for this rapidly growing channel. 🔗 Resources & Links Profound (AI Answer Engine Visibility Platform) https://www.tryprofound.com/ James Cadwallader on X https://x.com/thejamescad/ Sponsor: Talent Fiber Hire offshore engineering talent at one-third the cost of U.S. equivalents: https://talentfiber.com

    52 min

  8. APR 29

    email newsletter playbook: how to drive 3,000 weekly clicks

    In this episode, I sit down with Louis Shulman of Orbit Flows Marketing to dive deep into why a warmed email list is the single most valuable asset a brand can own. We explore how consistent, process-driven newsletters can drive thousands of targeted clicks weekly, share real-world examples and metrics, and unpack the exact frameworks, templates, and AI-powered workflows Louis uses to produce hundreds of newsletters a month for some of the world’s fastest-growing companies. Whether you’re resurrecting a dormant list or scaling a six-figure send, you’ll walk away with concrete steps to build, clean, and monetize your newsletter with repeatable, bite-sized automation. About the Guest Louis Shulman Louis leads client success and content strategy at Orbit Flows, where his team of five writers produces over 50 email newsletters per week for a collective audience exceeding one million subscribers. He’s spent years perfecting the playbook for turning long-form expert conversations into high-impact weekly sends that consistently deliver 3,000+ clicks per issue. Key Takeaways Email Newsletters as Owned Media: A weekly newsletter is an asset you own and control, unlike social platforms or paid ads.Process Over Perfection: Success comes from simple, repeatable systems (templates, cadence, checklists)—not chasing “perfect” content.Customer Journey Mapping: Structure newsletters around problem-aware, solution-aware, and vendor-aware stages to guide subscribers down your funnel.Bridge of Belief: Craft content that anticipates and answers subscriber objections before they arise—turn objections into subject lines.AI as an Accelerator: Treat AI like a managed teammate—define clear sub-steps and approval checkpoints to get 90% of the work done, then add human polish.List Hygiene & Segmentation: Start conservatively, re-engage dormant subscribers with win-back sequences, and prune non-openers after five sends to protect deliverability.Lead Magnets & Growth: Educational email courses and targeted downloadable assets (e.g., “5 Day Course on Accounting Pitfalls”) drive higher opt-in rates than generic “join my newsletter” pitches.ROI in Click Equity: With a 170,000-subscriber list sending twice weekly, 10,000 clicks per send saves upwards of $800,000 in paid LinkedIn ads annually.Episode Highlights 00:00 – 01:00 – Why Email Is King: The host frames newsletters as the most valuable, yet overlooked, marketing channel.01:00 – 02:00 – Sponsor Break: Acclaim Podcasting: Full-service agency that builds your weekly content machine (acclaimpodcasting.com).02:00 – 04:00 – Volume & Scale: Louis shares that Orbit Marketing dispatches 50+ newsletters weekly to 1M+ subscribers—and how one weekly send drives ~3,000 clicks.04:00 – 07:00 – Defining “Newsletter”: Establishing clear expectations, consistent format, and landing-page first mindset for newsletter signups.07:00 – 11:00 – Customer Journey & Content Strategy: Reverse-engineer subscriber beliefs at each funnel stage; problem, solution, vendor.11:00 – 15:00 – Objections into Subject Lines: Proactively address subscriber doubts (e.g., “Is TikTok still worth it?”) in your newsletter copy.15:00 – 18:00 – Ideation & Prompts: Three core content buckets—personal stories, business strategies, industry insights—and 100+ ghostwriting prompts for weekly topics.18:00 – 22:00 – Templates & Systems: Pin down a weekly structure with 3–5 sections to eliminate decision fatigue and ensure consistency.22:00 – 26:00 – AI-Powered Workflow: Build “Orbit Flows” with templates, voices, knowledge bases, and spaces—treat AI like a junior teammate with incremental approvals.26:00 – 30:00 – List Building & Hygiene: Start small with new or cold lists, run win-back sequences, remove non-engagers after five weeks to maintain deliverability.30:00 – 34:00 – Lead Magnet Mastery: Email courses and downloadable guides convert far better than generic newsletter invites—package education, not just tips.34:00 – 38:00 – Productizing Internal Tools: How Orbit spun its own AI newsletter engine into the OrbitFlows SaaS platform, with live demos of templates and research pipelines.38:00 – End – Final Advice & Connect: Louis drops his top three rapid-fire tips for B2B founders and shares where to reach him next.Resources & Links Guest Socials LinkedIn: https://www.linkedin.com/in/louisshulman/Orbit Marketing: https://www.orbitmarketing.io/X (formerly Twitter): https://x.com/LouisShulman/Brought to you by Acclaim Podcasting: https://acclaimpodcasting.comOrbitFlows (Built by Louis & Team) Product Site: https://orbitflows.com

    47 min
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5
out of 5
18 Ratings

About

In the Pit shares what founders and marketers are seeing from the front lines. Join host Cody Schneider for personal brain dumps and conversations with business leaders to learn the strategies and tactics being used to acquire first customers, scale growth, and build thoroughbred marketing organizations. Listen down. Level up.

Information

  • Creator
    Cody Schneider
  • Years Active
    2023 - 2025
  • Episodes
    50
  • Rating
    Explicit
  • Copyright
    © 2025 Cody Schneider

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