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Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Total monthly reach
Estimated from 3 chart positions in 3 markets.
By chart position
- 🇨🇦CA · Marketing#1615K to 30K
- 🇭🇰HK · Marketing#140500 to 3K
- 🇹🇼TW · Marketing#140500 to 3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
3K to 18K🎙 Weekly cadence·17 episodes·Last published 2w ago - Monthly Reach
Unique listeners across all episodes (30 days)
6K to 36K🇨🇦83%🇭🇰8%🇹🇼8% - Active Followers
Loyal subscribers who consistently listen
1.8K to 11K
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
Recent episodes
Lead Scoring | Why One Number Sends Reps After the Wrong Leads
May 29, 2026
Unknown duration
Google Marketing Live 2026 | The Year Execution Moved to Gemini
May 22, 2026
Unknown duration
First 90 Days as a Marketing Hire | The Diagnose, Build, Ship Playbook
May 19, 2026
Unknown duration
Retail Media Incrementality | Behind Sam's Club MAP's Rest-of-Market Report
Apr 22, 2026
Unknown duration
Paid Media Strategy Trends 2026: Search, Social, Programmatic & Influencer
Jan 14, 2026
Unknown duration
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| Date | Episode | Description | Length | |
|---|---|---|---|---|
| 5/29/26 | ![]() Lead Scoring | Why One Number Sends Reps After the Wrong Leads | Most lead scoring models hand sales a single 0-to-100 number that is secretly answering two different questions at once: is this the right kind of buyer, and are they ready to buy now. This episode unpacks why that single score quietly misroutes your reps — sending them after a college student poking around the pricing page instead of a perfect-fit VP who went quiet — and walks through the fit-versus-intent framework that fixes it. The whole thing runs on a worked B2B SaaS example: 1,000 marketing leads a month against a five-rep SDR team that can only seriously work about 300 of them.What we cover:Why behavioral points (pricing-page visits, demo views, repeat sessions) compound while firmographic fit points stay capped — and how that skews the top of every single-score listBuilding the fit score from two years of closed-won data, weighted for which accounts retain, not just which ones signWhy intent is perishable — scoring behavioral signals on a decay curve so a 60-day-old pricing visit stops counting as "hot"The fit-vs-intent 2x2 and its four quadrants: Priority, Nurture, Triage, and Hold — and the play for eachThe SDR-capacity math: how a single-score model burns roughly 210 conversations a month on a pool that closes at 1%The reallocation — working 130 routed leads instead of 300, with the deal count holding and half the rep capacity freedTwo changes to make this week: gate intent behind a real fit floor, and add decay to every behavioral signalClosing question we leave you with: if you split your current leads into this two-by-two grid today, how many of your sales team's hours are being burned chasing fake intent in the trap quadrant?Go to marketingcasebootcamp.com for hands-on case simulation practice on this exact business problem — build the routing rules and capacity math the way you would on the job.If this one helped, share with other marketer folks. | — | |
| 5/22/26 | ![]() Google Marketing Live 2026 | The Year Execution Moved to Gemini | Google held Marketing Live 2026, and under the product news there was a single through-line: the parts of a marketer's job that used to be done by hand — writing the ad, picking the keyword, building the lead form, reading the report — are being handed to Gemini. This episode walks the five shifts that follow from that change, who is actually writing the words your customers read now, and where Google's own headline numbers deserve a skeptical read.What we cover:Why AI Mode (1B+ monthly users) and AI Overviews (2.5B+) change what you optimize for — the shape of the query, not the rankingAds that became answers: Conversational Discovery, Highlighted Answers, AI-Powered Shopping, and a Business Agent for Leads — all composed by GeminiUniversal Commerce Protocol and the Universal Cart: agentic checkout with Nike, Sephora, Target, Walmart, and Wayfair across a 60-billion-listing Shopping GraphGemini in the back office: Ask Advisor across Ads/Analytics/Merchant Center, Asset Studio, Meridian moving into Analytics 360, and Qualified Future ConversionsYouTube as a performance engine: Shorts incrementality (45% not on TikTok, 65% not on Reels), Demand Gen product feeds, and Ask YouTubeWhere to keep your skeptic hat on: $6 back per $1, +15% conversions, 82% of discovery journeys — Google's own marketing mathThe one concrete move this week: run a real high-intent query in AI Mode and read how Gemini describes your brandClosing question we leave you with: As AI-native search and agentic commerce become the default standard, what happens to the challenger brands and the new startups that don't have massive feeds of historical data to train these AI agents? How do you break into an AI's consideration set when the machine already thinks it knows the best answer?Go to marketingcasebootcamp.com to get hands-on case simulation practice on the exact decisions behind these AI shifts — you learn this by making the calls, not just hearing the theory.And please share this breakdown with other marketer folks so they can build their quantitative judgment too.Read the full written blog on Marketing Case Bootcamp.Read the announcements on the Google Ads & Commerce blog. | — | |
| 5/19/26 | ![]() First 90 Days as a Marketing Hire | The Diagnose, Build, Ship Playbook | The marketers who get promoted within their first 18 months don't ship a flagship campaign in month one — they spend 30 days listening, 30 days building one thing, and 30 days shipping one named result. This episode unpacks the diagnose-build-ship playbook for the first 90 days as a new marketing hire, with concrete deliverables at each checkpoint: the day-30 audit memo, the day-60 experiment, and the day-90 result memo with a CFO-recognized number on it. It also doubles as an interview framework — a question you can bring to your final round to find out whether the company has actually thought about your role.What we cover:Why the dashboard you walk into on day one is lying to you — and why your week-four campaign will land on top of that liePhase 1 (days 1-30): the three diagnose moves — reading four quarters of internal reports, the 30-minute adjacent-team conversations, and auditing one number end-to-endThe day-30 memo as both a deliverable AND your protection if the role doesn't work outPhase 2 (days 31-60): how to pick the ONE thing — small enough to finish, tied to a CFO-recognized metric, testing a broken assumption from your diagnose memoWhy writing down your test design and success threshold BEFORE the data comes in protects you from goalpost-movingPhase 3 (days 61-90): the result memo with the number front and center, the cross-functional sponsor, and the reversible-rollout tripwireHow to use this same framework in your final-round interview to evaluate whether the role is actually right for youThree things to do this week — pick the audit number, schedule the five adjacent-team conversations, block out four Fridays for memo-writingClosing question we leave you with: if you're already in your first 90 days, what's the one number on your dashboard you'd most want to be able to defend — and have you started the audit yet?Go to marketingcasebootcamp.com for hands-on case simulation practice on this exact career scenario — work through real first-90-days decision artifacts the way you'd build them on the job.If this one helped, share your journey with other marketer folks. | — | |
| 4/22/26 | ![]() Retail Media Incrementality | Behind Sam's Club MAP's Rest-of-Market Report | This episode unpacks Sam's Club MAP's new Rest-of-Market (ROM) analysis — a retail media incrementality study that actually names its control group, uses a deterministic identity layer (logged-in member IDs and SKU-level household matches), and reports an iROAS net of baseline rather than a blended gross. We walk through what that means, why that combination is rare, and how to use it as a test against every other RMN you're buying from — Walmart Connect, Kroger Precision, Target Roundel, and the rest.What we cover:What incrementality actually is — the one-line subtraction (iROAS = (revenue with ads − revenue without ads) / ad spend), and why constructing an honest control group is the hard part, not the mathWhy last-touch ROAS has survived a decade of known-misleading-ness — the quiet incentive alignment between platforms, brand teams, and finance leads that keeps the fiction in placeWhat Sam's Club's MAP and ROM report do differently — deterministic member IDs as the identity spine, SKU-level matches extending to partner retailers, real members on both sides of the subtraction instead of modeled audiences or look-alikesThe three-question framework for pressure-testing any RMN's incrementality claims — (1) is there a real, observable control group? (2) is the identity join deterministic or probabilistic? (3) is the reported iROAS net of baseline or gross?What typical vendor answers look like — and what "we estimate baseline using predictive algorithms" really tells youHow gross ROAS and net iROAS usually diverge — why a 5x gross often collapses to a 1.2x–1.5x net, and why that range is often still worth buying but a different budget conversationThe disclosure curve from here — why Kroger Precision, Target Roundel, and Walmart Connect all have CFO customers asking the same questions, and what the budget reallocation across a year probably looks likeA practical move for this week — how to pressure-test one of your own retail media contracts, and why the stalling pattern is itself the answerClosing question we leave you with: how will true retail media incrementality change the way you plan your next campaign?---Want to practice this exact business problem? Go to marketingcasebootcamp.com for hands-on case simulation practice on this exact business problem — so when you're in the boardroom, you know what to ask and how to spot the accounting fictions.If this episode was useful, share it with other marketer folks — especially anyone still trusting a last-touch dashboard to dictate their budget.Read the full written case on Marketing Case Bootcamp.Read the original Sam's Club MAP announcement on Walmart Corporate. | — | |
| 1/14/26 | ![]() Paid Media Strategy Trends 2026: Search, Social, Programmatic & Influencer | This episode talks about the major trends defining the 2026 paid media mix. We cover Paid Search and the pivot to "Share of Model" , Paid Social evolving into a primary search engine, and the rise of Programmatic "Agentic AI". We also discuss how Influencer Marketing is shifting from PR to rigorous performance infrastructure.We are also giving away 1000 free credits to everyone who registers marketingcasebootcamp.ai , keep learning marketers! | — | |
| 12/28/25 | ![]() 2025 Season Finale | Why Marketing Is Not a Checklist? | In our last episode of 2025 Season, we look back at a massive year of cases from market entry strategy to funnel optimization to synthesize the one core lesson that connects them all: Marketing is fundamentally a "judgment discipline," not a checklist.We discuss the "Experience Paradox" facing many marketers today: the catch-22 where you need high-stakes budget experience to land a senior role, but companies won't give you access to those budgets until you have the experience. Finally, we also introduce our roadmap for 2026, including the launch of our MCB.AI designed to let you build executive judgment at scale.Key Topics:The Core Insight: Why the same business problem can have multiple "right" answers, provided the logic is sound.Career Growth: Why interviewers care more about your assumptions and trade-offs than your final answer.New Tools: How to use AI to stress-test your thinking and build executive judgment without financial risk.Visit marketingcasebootcamp.ai today. | — | |
| 12/18/25 | ![]() DTC Wellness Brand | Marketing Storytelling & Data Analysis | Data without a narrative is just noise. In this special masterclass episode, we move beyond the spreadsheet to show you how to turn raw metrics into a strategic vision that wins over leadership teams and clients during reporting call.Using a real-world DtC Wellness Brand case study, we dissect why some product lines "leaked" budget while others became efficient growth engines. You will learn how to move from being an analyst who reports the past to a strategist who designs the future.In this episode, we cover:The SCQA Model: How to structure your marketing reports using Situation, Complication, Question, and Answer to create a narrative arc.The "So What?" Ladder: A four-level framework to move from simple facts (Level 1) to diagnostic insights (Level 3) and decisive recommendations (Level 4).Visualizing Efficiency: Why the "Bubble Chart" is the hero of the boardroom, plotting revenue growth against marketing spend to spot opportunities instantly.The 70-20-10 Strategy Rule: A fiduciary guideline for balancing low-risk "Protect & Scale" investments with high-risk "Wildcard" experiments.Ready to Build Your Own Strategic Narrative?We are thrilled to announce the launch of MCB AI. This powerful new platform allows you to generate personalized marketing case practices with AI tutor guidance.Visit marketingcasebootcamp.ai to turn your reports into roadmaps today | — | |
| 11/21/25 | ![]() PSF Before PMF | Why You're Not Ready to Scale | Premature scaling is the number one killer of startups. This episode challenges the dangerous "build it and they will come" mentality, urging founders to validate their ideas before pouring fuel on the fire. We explore the difference between assumed demand and actual product-market fit, discussing why you need to talk to customers and test your hypothesis first. Listen in for a guide on how to avoid the "death cycle" and ensure you are scaling a business that works, rather than just funding an expensive hobby.Tune in for practical insights, then head over to Marketing Case Bootcamp to join the conversation with fellow marketers. | — | |
| 11/14/25 | ![]() MMM vs. Multi-Touch Attribution | Beyond the "Last-Click" Lie | Is your marketing budget built on a lie? If you're still relying on last-click attribution, you're flying blind—systematically undervaluing top-funnel channels like TikTok and overvaluing final touchpoints like retargeting.In this episode of the Marketing Case Bootcamp podcast, we dive deep into the two modern solutions every marketer must understand: Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA).You'll learn:What MTA is: How it attempts to map the full user journey and the differences between linear, U-shaped, and data-driven models.Why MTA is "crumbling": Why user-level tracking is failing in a world of privacy updates and cookie deprecation.What MMM is: The strategic, privacy-safe alternative that uses aggregate statistical data—and why it's the only way to measure your offline channels (like TV, podcasts, and billboards).How to Use Them Together: The real magic isn't MMM versus MTA; it's using them as a team. We explain the framework for using MMM to set your strategic (annual/quarterly) budget and MTA for your tactical (weekly/daily) in-channel optimizations.How to Prove It: Finally, we cover the crucial role of incrementality (lift) testing to verify that your models are truly measuring cause-and-effect.Tune in for practical insights, then head over to Marketing Case Bootcamp to join the conversation with fellow marketers. | — | |
| 11/10/25 | ![]() RFM Customer Segmentation | Behind Sephora's Beauty Insider Program | Why do so many marketing campaigns fail? They fall into the "demographic trap," talking to everyone the same way. This episode of the Marketing Case Bootcamp podcast introduces a more powerful, practical solution: RFM segmentation. We break down the core concepts of Recency, Frequency, and Monetary value, showing you how to predict customer intent, not just label their identity. Using Sephora's legendary Beauty Insider program as a real-world case study, we reveal how to segment customers effectively and build a strategy that actually drives results.Tune in for practical insights, then head over to Marketing Case Bootcamp to join the conversation with fellow marketers. | — |
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Chart Positions
3 placements across 3 markets.
Chart Positions
3 placements across 3 markets.
