Your Daily Eko

🧠 Insights You Won’t Forget

Today's insights are inspired by a recent episode of the Product Podcast w/ Nicholas Daniel

1. Unifying Fragmented Supply Is Priority #1 in Marketplaces

   Etsy’s strategy centers on building a strong seller base first, solving the “chicken and egg” problem by aggregating unique, human-made supply before ramping buyer-side investments. This supply-led growth model drives defensibility and differentiation.

2. Seller Success = Time to First Sale + Tool Adoption

   Etsy uses key leading indicators like time to first sale, product assortment changes, and adoption of Etsy tools (e.g., social promotion, ads) to measure seller success and predict long-term engagement and revenue.

3. AI and LLMs Fuel Next-Gen Discovery

   With over 2 billion product variations, Etsy is using large language models to enrich metadata, improve search relevance, and inspire browsing, transforming unstructured seller inputs into structured buyer-facing insights.

4. Platform Fee Increases Must Be Tied to Seller Growth

   Etsy carefully navigates fee increases by aligning them with reinvestments in seller growth, more marketing, better support, and automation, ensuring sellers see value in exchange for higher platform costs.

5. Discovery Over Search: Creating an “Inspiration Destination”

   Etsy is shifting toward discovery-driven UX—browsable, social, and content-rich, to capture shoppers earlier in their journey and boost visit frequency, even when not ready to buy.

6. Listing Quality Drives Visibility (and Sales)

   Etsy developed a “visibility dashboard” to show sellers how their listings perform and how to improve them. Criteria were based on buyer feedback, not internal opinion, and include photo quality, description length, and image clarity.

7. Pandemic = Data Goldmine: Growth Alone Improves NPS

   When sales doubled during COVID, seller NPS increased, even without new features, proving that demand growth alone significantly improves seller sentiment and loyalty.

8. Ecosystem Partnerships Are a Feature, Not a Bug

   Etsy encourages third-party tools to fill gaps (pricing, inventory, tax), as long as they’re value additive. These partners help Etsy focus on its core while expanding seller support through its approved API partner ecosystem.

9. Product Org Mirrors Marketplace Complexity

   Etsy runs 130+ squads across themes like search, discovery, inventory, and seller services. Each is cross-functional and maps to a specific customer challenge, enabling scale without losing focus on core marketplace friction points.

10. AI and CoPilot-Style Tools Will Compress PM/Eng Ratios

    Nicholas predicts product teams will shrink as AI accelerates both discovery and delivery. But throughput may increase overall, raising questions about ideal team size and skill distribution going forward.

Recall from last week

1. Invest in Your Learning Curve Like It’s a Deal

   Rich advocated “plunging in” and spending absurd amounts of time absorbing everything, even if 98% goes over your head. His early success was built on relentless study, borrowing credibility, and refining communication with precision.

2. Constraints breed creativity

   Working within budget limitations at Livestrong forced Leah to find innovative ways to work with creators outside of typical influencer campaigns, such as web content and panel appearances.

💡 Eko Worth Remembering

⚡ Active Recall – Test Yourself 

🛤️ Off the Record

Fragmented supply in a marketplace is a lot like having a head full of ideas with no clear path to execution. Just as Etsy faced the challenge of unifying millions of independent sellers and products into a coherent experience, individuals and teams often face a similar internal fragmentation, lots of inputs, scattered intentions, no system to channel them into impact. The solution, both for Etsy and for any ambitious thinker, lies in structuring the chaos: create mechanisms to centralize inputs, prioritize what matters, and take consistent action. Whether that’s through building better workflows, clearer feedback loops, or dedicated discovery-to-delivery pipelines, the lesson is the same: value doesn’t come from having more; it comes from unifying and activating what you already have.

In today’s AI-driven landscape, data isn’t just an asset, it’s a superpower. As AI systems become more integral to how businesses operate and make decisions, the ability to collect, refine, and activate the right data becomes your differentiator. But don’t stop at plugging in tools, think from first principles: how could AI fundamentally reshape your value chain, your user experience, or your cost structure? What data will you wish you had trained on six months from now? Leaders will be those who front-run this shift by architecting with AI in mind today, not waiting until it’s too late to catch up.

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Answer:

To apply Etsy’s strategy to a new marketplace startup, the first three priorities based on their approach would be:

1. Unify Fragmented Supply

Focus on attracting and onboarding a strong, differentiated base of sellers. Identify a niche or unique inventory type (e.g. handmade, localized, or specialty goods) that large platforms don’t serve well. This creates defensibility and lays the foundation for a vibrant buyer experience.

2. Support Seller Success with Tools and Data

Develop tools that help sellers optimize listings (e.g. listing quality dashboards, SEO recommendations) and get to their first sale quickly. Track leading indicators like time to first sale and tool engagement to identify sellers who need support or education.

3. Leverage AI for Inventory Understanding and Discovery

Use AI/LLMs to enrich seller-provided data (e.g. extract attributes from photos and descriptions), enabling better search and discovery. Prioritize making your platform not just searchable, but “browsable and inspirational,” giving buyers a reason to explore even when not ready to purchase.

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