Explore every episode of the podcast Marketing Case Bootcamp

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 list
• Building the fit score from two years of closed-won data, weighted for which accounts retain, not just which ones sign
• Why 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 each
• The 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 freed
• Two changes to make this week: gate intent behind a real fit floor, and add decay to every behavioral signal

Closing 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.

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 ranking
• Ads that became answers: Conversational Discovery, Highlighted Answers, AI-Powered Shopping, and a Business Agent for Leads — all composed by Gemini
• Universal Commerce Protocol and the Universal Cart: agentic checkout with Nike, Sephora, Target, Walmart, and Wayfair across a 60-billion-listing Shopping Graph
• Gemini in the back office: Ask Advisor across Ads/Analytics/Merchant Center, Asset Studio, Meridian moving into Analytics 360, and Qualified Future Conversions
• YouTube as a performance engine: Shorts incrementality (45% not on TikTok, 65% not on Reels), Demand Gen product feeds, and Ask YouTube
• Where to keep your skeptic hat on: $6 back per $1, +15% conversions, 82% of discovery journeys — Google's own marketing math
• The one concrete move this week: run a real high-intent query in AI Mode and read how Gemini describes your brand

Closing 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.

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 lie
• Phase 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-end
• The day-30 memo as both a deliverable AND your protection if the role doesn't work out
• Phase 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 memo
• Why writing down your test design and success threshold BEFORE the data comes in protects you from goalpost-moving
• Phase 3 (days 61-90): the result memo with the number front and center, the cross-functional sponsor, and the reversible-rollout tripwire
• How to use this same framework in your final-round interview to evaluate whether the role is actually right for you
• Three things to do this week — pick the audit number, schedule the five adjacent-team conversations, block out four Fridays for memo-writing

Closing 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.

In Q2 2020, Brian Chesky walked into a room of Airbnb marketing leaders and told them to turn off paid marketing — not pause, turn off. Total marketing spend dropped from $1.62B in 2019 to $545M in 2020, and by Q4 91% of Airbnb's traffic was direct or unpaid. The performance team's worst fear never showed up. This episode unpacks what Chesky was actually testing — brand-search cannibalization, not "brand vs. performance" — and why the math on incremental paid lift gets brutal once your direct-traffic share crosses 70%.

What we cover:

• The real question behind the cut: how much paid-attributed traffic would have come anyway
• Brand-search cannibalization — why it can absorb 60–80% of paid-search budget without anyone noticing
• The three numbers from Airbnb's S-1 that made the call obvious: 90% direct/unpaid floor, $1.08B spend cut, 22% YoY Q4 2020 revenue growth
• Why "incremental ROAS" on last-touch attribution is a vanity number, not an incrementality number
• A three-question framework any marketer can run on their own paid budget — direct-traffic share, holdout-test discipline, six-week paid-off survivability
• Three moves you can make this week: brand-vs-non-brand split, one-week branded-search holdout, taking the result to the CFO before the CMO
• Why the Airbnb lesson isn't "cut performance" — it's that brand strength sets a ceiling on how much incremental work paid can ever do

Closing question we leave you with: if your CFO ran the same incrementality test on your paid budget tomorrow, how much of your spend would survive the room?

Go to marketingcasebootcamp.com for hands-on case simulation practice on this exact business problem — pull a brand-vs-non-brand split, design a holdout, and pressure-test your own paid-search budget the way Chesky pressure-tested Airbnb's.

If this one helped, share with other marketer folks.

Read the full written case on Marketing Case Bootcamp.

Google's AI Max moved out of beta on April 15, 2026, which starts the countdown to the September forced migration off Dynamic Search Ads.

This episode unpacks what intent-based auctions actually change under the hood — DSA, Automatically Created Assets, and campaign-level broad match all replaced in one motion — why voluntary early migration is the correct call, and how to run a clean pilot before Q4 forces your paid team to learn a new auction model during the worst quarter of the year.

Microsoft announced a parallel "agentic web" AI Max equivalent on April 21, so this isn't a Google-only shift; it's the leading edge of paid search moving from keyword-specified to outcome-specified across every major platform.

What we cover:

1. 
   The three campaign primitives AI Max replaces in one motion — Dynamic Search Ads, Automatically Created Assets (ACA), and campaign-level broad match• Intent-based vs. keyword-based auctions: why Google now reads query, landing page, and creative as one bundle and ranks by predicted conversion
2. Google's headline 7% conversion / conversion-value lift claim and how to actually read it
3. Why September is the wrong time to learn a new auction — the "Q4 budgets already committed" trap
4. The 5-item migration QA checklist: baseline the legacy campaign, start with a non-hero campaign, write text guidelines before flipping, rebuild reporting around query-level data, and set a 14-day no-touch window after launch
5. Text guidelines as the new control surface — how to write brand rules the AI will actually respect (e.g. banning "cheap" or "discount" in generated headlines)
6. Microsoft's parallel "agentic web" AI Max equivalent and what the platform convergence means for search marketers
7. The skill-stack rebuild: shifting from bid-manager to AI-manager — writing text guidelines, curating landing pages, and reading query-level + cross-headline reports
   

Read the full written case on Marketing Case Bootcamp.
Read the original Digiday coverage of the AI Max GA announcement.

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 math
• Why 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 place
• What 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-alikes
• The 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 you
• How 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 conversation
• The 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 like
• A practical move for this week — how to pressure-test one of your own retail media contracts, and why the stalling pattern is itself the answer

Closing question we leave you with: how will true retail media incrementality change the way you plan your next campaign?

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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.

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!

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.

  
  

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

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.

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.

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.

This episode is a full hands-on breakdown of what programmatic advertising is, how it works end-to-end, and where it wins across channels like CTV, video, display, native, audio, DOOH, and in-game. We unpack the tech stack: DSPs, SSPs, ad exchanges, and walk through real-time bidding (RTB) in plain language. Then we apply it to a real case: Blue Sky, a consumer brand scaling beyond manual buys into an audience-first, multi-channel programmatic plan.

What you’ll learn

• Programmatic vs. manual buying: why audience-first beats site-first

• The ecosystem (DSP/SSP/Exchange), RTB flow, and common deal types

• Targeting & measurement essentials (first-party data, VTCs, ROAS/CPA)

• Where programmatic shines by channel (CTV, DOOH, audio, etc.), with Blue Sky’s playbook and KPIs

After listening, try the Blue Sky Outdoor Gear’s Digital case program in ⁠Marketing Case Bootcamp⁠ to put the playbook into actual practice.

This episode is a hands-on briefing on modern B2B demand generation—why smart teams are shifting from volume-led lead gen to value-driven demand gen that builds brand trust, educates the market, and improves pipeline quality. We apply the framework to RevTech Solutions, diagnosing a funnel efficiency crisis and outlining a 90-day revival: fix qualification and nurturing, reallocate budget to high-value channels (events, webinars), and build a compounding engine (SEO + content + ABM).

What you’ll learn

• Demand gen vs. Lead gen and when to use each

• A two-speed model: create future demand + capture in-market demand

• Smart budget shifts to raise deal size and win rates

• How to measure pipeline quality with leading indicators and align sales & marketing

After listening, try the RevTech Solutions case program in Marketing Case Bootcamp to put the playbook into actual practice.

This episode is a hands-on breakdown of what paid media is, how it works, and how to turn that knowledge into interview-ready answers. It contains practical, step-by-step explanations—great for career-switchers and junior marketers aiming for media buyer roles.
We define paid media, compare paid search vs. paid social vs. programmatic, and explain when to use each based on intent, targeting, creative, and buying model (CPC/CPM). Then we shift to the career side: the core techniques and toolset you need (testing frameworks, audience building, bidding basics, creative iteration, tracking & attribution), what interviewers really evaluate, and how to structure sharp case answers.

After listening, you are welcome to take the 100 Paid Media Interview Questions Quiz at Marketing Case Bootcamp

This episode is a hands-on breakdown of building an integrated channel plan using a real case: Artisan Brew Co. expanding into the Northeast. With low awareness, entrenched competitors, and a 6-month, $750k budget, we rank channels by audience fit and role, stitch traditional + digital into one story, and show how to measure cross-channel lift.

What you’ll learn

• How to select and sequence channels by objectives

• Smart budget moves that maximize conversion

• KPIs and a simple multi-touch approach to track cross-channel impact

• Standout tactics for channel selection

After listening, try the Channel Selection & Integrated Marketing Plan for Artisan Brew Co. Market Expansion case program for free inside Marketing Case Bootcamp to put the framework into practice.

This episode is a hands-on breakdown of how to build a small-business digital plan from zero. It contains practical, step-by-step case explanation, it's great for busy small business owners or junior marketers alike.

We work through our business case: Main Street Coffee, an indie shop in a college town, and show how to turn limited time and budget into measurable foot traffic.

You’ll hear how we define goals (awareness + visits), map audience behavior first, then pick one platform to start.

We also walk through how to define and track metrics that matter and how to manage and allocate tight budget.

What you’ll learn

• How to choose a first channel by audience behavior, not preference.

• A starter playbook for local shops.

• A simple attribution hack to connect posts to in-store visits.

• How to diagnose “high engagement, low foot traffic” and fix the gap.

  
  

After listening, feel free to try the Main Street Coffee case program yourself for free at Marketing Case Bootcamp and put the framework into practice.

Data-driven marketing is the key to fueling sustainable growth, and nowhere is that clearer than when you optimize your conversion funnel.

In today's episode, we break down how to turn browsers into buyers for one of the world’s top attractions. Using the London Eye’s ticket-purchase journey as our case, we map the funnel from awareness to checkout, pinpoint the biggest drop-off zones. We’ll also show how regional and seasonal trends inform smarter tactics, diverse payment methods, transparent pricing, and strategic budget shifts.

Tune in for the step-by-step thought process, then head to marketingcasebootcamp.com to tackle the full case study and sharpen your own funnel-optimization playbook.

In Google Marketing Live 2025, Google rolled out expanded AI Mode, AI Overviews, generative snippets, conversational Shopping Ads and the new AI Max tool, features set to redefine how people search and click.

In this episode we unpack what these changes mean for SEO and paid search: shifting from static keywords to intent-driven prompts, optimizing for AI-first answers, tweaking bids as AI alters click behavior, and testing emerging ad formats that marry generative AI with search intent.

Tune in for practical insights, then head over to marketingcasebootcamp.com to join the conversation with fellow marketers on adapting your strategy for the AI-powered search era.

Marketing strategy is the cornerstone of business success today. In this episode, we apply a real-world product relaunch from a fast-casual sandwich chain to guide you through diagnosing performance gaps, sharpening your positioning, designing promotional tactics that support your business goals, and building a measurement plan that keeps teams on track. You’ll learn the key questions to ask, frameworks to follow, and metrics to monitor when planning a relaunch.

Ready to put these insights into action? Head to marketingcasebootcamp.com to tackle the full Product Relaunch Strategy case study for free!

Integrated marketing is far more than “just using both traditional and digital channels.” It has evolved from simply running print and broadcast ads in parallel to orchestrating real-time, data-driven experiences across every touchpoint—TV, out-of-home, social, mobile, and beyond.

In this episode, we:

• Define Integrated Marketing: why it’s a mindset, not a channel checklist

• Unpack the Core Pillars: unified messaging, channel synergy, cross-team collaboration, holistic measurement, and data-driven personalization
• Spotlight a Star Example: how Coca-Cola balances billboards, TV, social, AR, and loyalty apps to create one cohesive brand journey

• Trace its Evolution: from early IMC to today’s real-time omnichannel world with QR-powered OOH, programmatic buys, and social-to-store loops

• Give You the Framework: a step-by-step playbook for mapping your own integrated campaign

marketingcasebootcamp.com is an online platform that helps early-career and transitioning marketers sharpen real-world skills through hands-on case studies, interview prep, and AI-powered tools.

Search Engine Marketing (SEM) uses paid search ads to put your offer in front of people the instant they’re looking for it.

Businesses run search ads because they deliver instant visibility on queries that signal purchase intent, provide fully measurable performance metrics, and allow precise control over budget, targeting, and messaging—making SEM one of the most efficient, scalable ways to drive relevant traffic and sales!

In this episode we will turn New York’s most famous view into non-stop ticket sales by building a Google Search campaign for the Empire State Building Observatory from the ground up:

• Start with the business goal

• Split into multiple campaigns

• Craft themed ad groups & keywords

• Write Responsive Search Ads that sell

• Stack extensions for maximum impact

• Launch, learn, and scale

What exactly is a market‑entry strategy? Think of it as the launch blueprint that answers five brutal questions before you spend a dime:

1. ​Where’s the pie and how big is your slice? (TAM/SAM/SOM)
2. ​Who cares—and why should they switch? (target persona + positioning)
3. ​Which doors do you knock on first? (channel mix & partnerships)
4. ​How do you stretch every budget dollar? ($500 k in six months, not a penny more)
5. ​When do you declare victory—or pull the plug? (KPIs & break‑even math)

In this episode we run those questions through the real‑world gauntlet of GreenSip, the West‑Coast plant‑based beverage darling that wants to elbow its way onto New York City shelves—and TikTok feeds—before the next cold‑brew wave hits.

Want to flex your own plan? Come to our site to solve it for free on GreenSip Market Entry program, and show us how you’d win the Big Apple!

www.marketingcasebootcamp.com