Podcast Summary: Marketing Operators
Episode: Category Expansion: When to Launch, What to Test & How to Scale
Hosts: Connor Rolain, Connor MacDonald, Cody Plofker
Date: March 3, 2026
Episode Overview
This episode dives deep into the strategic and tactical considerations of expanding product categories within DTC brands. The hosts break down when and how to launch new products, what data and tests to use, and how to scale new category launches—supported with real-life examples from Ridge and Hexcloud’s own experiences. The discussion is granular, data-driven, and highly actionable for marketing operators at scaling brands.
Key Discussion Points & Insights
1. The Impact of Product Expansion on Growth
- Product expansion is repeatedly called the biggest growth lever for established DTC brands.
- Incremental growth comes not just from new customers, but by adding new, adjacent product categories or designs that appeal to different audience segments.
- Quote: “More often than not, your biggest growth lever is product expansion.”
— Connor (00:00)
2. Organic Marketing Lessons from Influencer Culture
- The team riffs on the rise of influencer “universes” and how content is clipped, shared, and seeded for rapid organic reach (e.g., streamers like Clavicular and the “frame mogging” meme).
- Lessons for brands: building “clippable” moments can drive new audiences and create entire narrative “universes.”
- Quote: “There is a very tried and true process... they have an army of clippers, an army of channels where they’re redistributing all that content over and over and over.”
— Cody (06:29)
3. Coaching Services as Scalable Digital Products
- Quick tangent on influencer coaching revenue models, weighing the bottlenecks vs. scalable, productized service offerings driven by back-end agencies and VAs.
- Example of influencer funnels using Typeform and minimal personal labor.
4. How to Effectively Introduce New Products in Core Channels
- Launching new products isn’t just about better ads, but about reaching genuinely new audiences.
- Holdout testing is critical to determine incrementality (i.e., is new product attracting net new customers or cannibalizing existing demand?).
- Real Ridge example: Launched a niche “tattoo-inspired” wallet, discovered only 40% of attributed revenue came from the promoted product—the rest came from core bestsellers, indicating the ad brought in new-to-brand customers.
- Quote: “The incremental lift was more than the entire revenue of the product… people were clicking these ads, coming through, purchasing a gunmetal, a black, a carbon fiber wallet. That was a really big unlock for us.”
— Cody (13:53)
5. Building Funnels for New vs. Existing Categories
- For new categories, comprehensive landing experiences and more education are needed (e.g., cocktail shaker launch with a special brand partnership and custom landing page).
- For extensions (e.g., new colors in existing categories), less educational lift is needed; proven templates and ad strategies can often be repurposed.
- Creators or personas should sometimes be tailored to a new SKU’s DNA, but seasoned creators are usually most effective at driving results.
6. Testing Structure: Analytics and Measurement
- Robust experimentation is essential. The team discusses using North Beam and geo lift tests, plus breaking down data by ad, product, and demo to ensure real incrementality.
- Caution: “Ad performance” alone can be misleading—it may simply cannibalize existing demand instead of growing the pie.
7. Cross-Category Buying and MER Analysis
- Ridge created distinct revenue attribution models (line item vs. order-level categorization) to understand cross-category buying.
- Result: Over 97% of orders are single-category dominant, showing very little cross-category purchase behavior at time of purchase. Opportunity exists to intentionally cross-sell post-purchase, not during first-purchase.
- Quote: “There’s extremely little cross-category buying… [this] gives us more conviction... these are extremely different orders and extremely different people...”
— Cody (31:51) - Operational implication: Product-category level P&L and paid media optimization can be managed discretely.
8. Seasonality and Allocation of Ad Spend
- Different categories exhibit clear seasonality (e.g., rings for Valentine’s or weddings, wallets for Father’s Day, travel for summer).
- Teams should plan major pushes for certain categories only during high-conversion windows—not all products require year-round spend.
- Example: Outdoor cooking products have their moment in spring/summer.
- Quote: “I’m not opposed to the idea of like, hey, this is really valuable twice a year... build systems around [that] and scale the hell out of it for six weeks twice a year and that could potentially work.”
— Cody (50:57)
9. Decision-Making Framework for Category Expansion
- Teams should regularly evaluate both ad level performance and blended business unit performance to decide whether to add, maintain, or pull back on new product pushes.
- They advocate a matrixed decision process (strong/weak ad performance, strong/weak business metrics) and biweekly data-driven team reviews.
- Quote: “There's nuance to all this... you can almost map out the decision-making matrix on all these non-hero products.”
— Connor (51:22)
10. Building for Incrementality and Real Growth
- Beware of launching "newness" that only cannibalizes existing demand. True incremental growth comes from expansions that appeal to genuinely new customer segments.
- Use ad performance for early signals, but blend with deeper metrics and incrementality tests for robust decisions.
- Quote: “If you’re letting the ad performance guide you, then you’re probably making good allocation decisions... but it doesn’t necessarily… a lot of that can just be cannibalizing other revenue.”
— Cody (57:52)
11. Practical Advice for Teams of All Sizes
- Don’t overcomplicate: Start with ad performance, then layer in blended and layered analysis as you grow.
- Even for small brands without expensive tools, segmenting audiences and reviewing platform-reported demographics can provide directional insights.
- Quote: “Don’t not do good marketing just because you don’t have the four layers defined. Just start with the first layer and then you’ll get smarter and smarter and stack them on top of each other.”
— Connor (56:57)
Notable Quotes & Memorable Moments (with Timestamps)
- “More often than not, your biggest growth lever is product expansion.” — Connor (00:00)
- “The incremental lift was more than the entire revenue of the product… That was a really big unlock for us.” — Cody (13:53)
- “There is a very tried and true process...they have an army of clippers...redistributing all that content over and over…” — Cody (06:29)
- “If you’re letting the ad performance guide you, then you’re probably making good allocation decisions…but...that can just be cannibalizing other revenue.” — Cody (57:52)
- “Don’t not do good marketing just because you don’t have the four layers defined. Just start with the first layer…” — Connor (56:57)
- “There's extremely little cross-category buying…these are extremely different orders and extremely different people...” — Cody (31:51)
- “You can almost map out the decision-making matrix on all these non-hero products...” — Connor (51:22)
Timestamps for Major Segments
- 00:00 – Opening on Product Expansion as a Lever
- 04:22 – Influencer Trend Discussion & Marketing Parallels
- 10:59 – On the Evolving Creative Strategy and AI’s Role
- 12:52 – Introducing Products to Core Paid Channels
- 13:53 – Case Study: Ridge Wallet “Tattoo” Launch & Incremental Orders
- 21:23 – Building Funnels/Landing for New Categories vs. Extensions
- 23:31 – Deep Dive: Holdout Testing and Reading North Beam Data
- 31:51 – Analysis: Cross-Category Buying and Attribution Insights
- 41:55 – Roadmap & Mindset on Future Product Expansion and Upsell Tactics
- 49:12 – Seasonality and Timing Category Pushes
- 51:22 – Framing Category Expansion Decisions with a Matrix Approach
- 56:57 – Final Advice for Layered Measurement and Not Overcomplicating
- 60:04 – Wrap-up
Episode Tone & Style
- Conversational, candid, and insight-dense.
- Data-driven, with frequent reference to live business metrics and testing frameworks.
- Action-oriented, often pausing to offer practical advice suitable for both large and scaling brands.
- Friendly, with on-topic tangents that reinforce big-picture marketing lessons.
Summary Takeaways
- Structured, data-driven product expansion is essential for DTC growth.
- Start simple (focus on ad performance) and increase sophistication as the organization matures.
- Test for incrementality—aim to grow the pie, not just carve new slices from the same audience.
- Use category and cross-buy analysis to drive smarter merchandising, funnel design, and post-purchase remarketing.
- Embrace seasonality, allocate resources intentionally, and build decision-making rhythms into team processes.
Ideal For:
Growth leaders, marketing operators, and founders at mid-size and scaling DTC brands looking to responsibly expand product lines and maximize their paid media ROI.