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Scalability School

Scalability School

Written by: Scalability School
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 Scalability School is your cheat code for building a more profitable DTC brand or agency. We break down tactical strategies, real-time wins, and tough lessons from three powerful perspectives: operator, agency, and community. It's not theory—it's what's actually working in the wild. Skip the fluff, steal what works, and scale with confidence.2025 Economics Leadership Management & Leadership Marketing Marketing & Sales
Episodes
  • The One About Meta's Andromeda

    The One About Meta's Andromeda
    Jan 29 2026
    In this episode of Scalability School, Andrew and Brad are joined by Daniel Okon, CEO of ACTIV, a growing digital first agency that has also moved to incubating/growing multiple 7 figure brands in the health & wellness space, to decode Meta's "Andromeda" update. Andromeda has created a huge shift in the ad ecosystem where the algorithm (via systems like GEM and Lattice) now aggressively favor true creative diversity over simple iterations. Daniel breaks down why old scaling methods like duplicating winners or making minor tweaks are yielding diminishing returns. Instead, he introduces a research heavy framework focused on identifying "sub-avatars" (specific customer behaviors or pain points, like "bloating after pizza") rather than broad demographics. The conversation covers the tactical "pull forward" method for extending winning angles into new formats, how to conduct manual research that AI can't replicate, and why your creator briefs should focus on trust and niche authority over brand aesthetics. If you've been stumped by Andromeda, Daniel and the Scalability team do a great job sucinctly explaining the changes and what advertisers need to do to be successful on the platform once again. Key Takeaways: Is your ad account suffering because you're confusing "creative volume" with actual "creative diversity"? Why Meta's new "GEM" system penalizes ads that look different but mean the same thing. How most advertisers are capping their own scale by targeting broad demographics over specific "sub-avatars". How the "Spray and Pray" testing method has all but ran out of ink and the "Exploration vs. Expansion" framework that is replacing it? How a simple "Q&A" static image can easily outperform a high-production video ad in the new world of Andromeda. This episode of the Scalability School podcast is sponsored by NorthBeam and they just launched Northbeam Incrementality. Northbeam Incrementality gives you easy, automated, self-service incrementality tests, while protecting you from the major mistakes so many people make while running incrementality tests. Your MTA handles the daily tactics, your MMM guides the long-term planning, and Incrementality provides the causal truth. It's a closed loop that allows you to scale what works and cut what doesn't. Right now when you head over to northbeam.io/incrementality, they're offering Scalability School listeners 50% off unlimited tests for a year when you join. Just tell them we sent you! To learn more about Daniel Okon and his team you can follow him on X https://x.com/thedanielokon or head to www.weareactiv.com To connect with Andrew Foxwell send an email Andrew@foxwelldigital.com To connect with Brad Ploch send him a DM at https://x.com/brad_ploch To connect with Zach Stuck send him a DM at https://x.com/zachmstuck Learn More about the Foxwell Founders Community at https://foxwellfounders.com/ Learn More about the The Hive Haus Creators Community at http://HiveHausUGC.com
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    50 mins
  • Building a Bulletproof Plan for Growth in 2026

    Building a Bulletproof Plan for Growth in 2026
    Jan 15 2026
    This episode is a practical walk-through of forecasting for e-commerce growth, specifically how media buyers and operators should think about revenue targets, paid spend, CAC/ROAS degradation, contribution margin, fixed costs, and cash flow without building a fantasy plan that assumes everything stays perfectly flat. Abir (outsourced CMO/operator for multiple e-comm brands) and owner of UpCounting.com breaks down a simple-but-real framework: start with the story in the historical data to build a forecast that's honest about constraints (marketing efficiency, supply/inventory, staffing, cash conversion cycle). Then, turn the forecast into an ongoing operating rhythm where you review monthly performance vs plan, diagnose why you landed where you did, and update assumptions instead of "hoping next month works." A big theme: most brands hit a "terminal velocity" with their current offer/creative/channel mix. From there you either (1) increase the value you get from customers (LTV/retention, bundles, new products, adjacent audiences) or (2) improve business efficiency so you can reinvest profit to raise your ad spend ceiling—aka the "two machines" model: ads machine + ops/profit machine. Key Takeaways: Using more than just "vibes" to justify perfomance when CAC stays flat while spend goes up. How to forecast using your actual "terminal velocity" instead of your dream scenario. The difference of forecasting from a revenue goal → spend/CAC → contribution margin, Vs. just backfilling numbers to match a target. Knowing where your business actually breaks first (marketing efficiency, inventory, cash conversion cycle, headcount, or fixed costs)? The fastest way to spot whether growth is coming from new customers vs returning customers and why this changes the whole model. How to properly plan for CAC degradation when you begin to SCALE. Why tracking this one metric can confirm if extra spend is actively hurting your brand. Moving away from just looking at ROAS and moving on to a monthly system for forecast vs actual + "why did this happen?" How to know you're investing cash in the right lever and helping raise your ceiling faster. How to run the numbers to insure you're holding your internal team to an ROI standard and not just giving the team a free pass. OpEx bloat (tools, subscriptions, extra layers of people) and how it is quietly eating your ability to reinvest in growth. To connect with Abir, you can follow her on x at https://x.com/Abir_CFOofEcom or at https://go.upcounting.com/ To connect with Andrew Foxwell send an email Andrew@foxwelldigital.com To connect with Brad Ploch send him a DM at https://x.com/brad_ploch To connect with Zach Stuck send him a DM at https://x.com/zachmstuck Learn More about the Foxwell Founders Community at https://foxwellfounders.com/
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    50 mins
  • New Year New Ad Platform: A Look At AppLovin

    New Year New Ad Platform: A Look At AppLovin
    Jan 1 2026

    This episode is a tactical breakdown of AppLovin as a scaled acquisition channel—what's actually different vs Meta, what you should change in creative + campaign structure, and how to think about incrementality + reporting so you don't judge it with the wrong yardstick.

    Miranda Pettinger, Performance Marketing Manager at 365 Holdings explains how they onboarded to the platform when Meta was underperforming and AppLovin started popping off in buyer circles. They used a Triple Whale onboarding credit to test with low risk, and at the time it wasn't even self-serve (you had to Slack the rep for changes).

    The short on "why AppLovin works" is AppLovin's rewarded inventory creates an opt-in attention trade ("watch this 30s ad, get coins"), which changes the psychology from "I'm annoyed by ads" to "I'm choosing to watch this." That makes the creative game feel closer to a 30-second TV spot: you've got time to explain, objection-handle, and sell in one sitting.

    From there it turns into a playbook with these Keytakeaways:

    • 18:30 Bidding / structure: ROAS vs cost-per-purchase, why value doesn't work for some catalogs and how to structure campaigns

    • 19:40 DPAs + catalog control: Why DPAs can help if you've got lots of variants and the importance of controlling what products show up.

    • 25:50 Measurement reality: AppLovin tends to under-report purchases, especially at scale, so you want to validate with post-purchase survey, MER/traffic lift and/or a 3rd party data tool.

    • 29:30 Incrementality / overlap: The Meta+AppLovin overlap and how Meta+Google overlap is likely way bigger.

    • 33:55 Creative testing: unlike Meta where "testing vs scaling" can feel walled off, AppLovin can allow new winners to climb fast inside the same campaign, without dumping spend on junk.

    • 38:30 End cards: offers matter a lot. How animation helps, and showing variants (colors/metal types) can lift clicks

    To connect with Miranda, you can follow her on x at https://x.com/mirandpettinger

    To connect with Andrew Foxwell send an email Andrew@foxwelldigital.com

    To connect with Brad Ploch send him a DM at https://x.com/brad_ploch

    To connect with Zach Stuck send him a DM at https://x.com/zachmstuck

    Learn More about the Foxwell Founders Community at https://foxwellfounders.com/
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    49 mins
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