Etsy Ads Strategies
Client
  • Etsy
  • Product
  • Desktop & mobile web
  • Years
  • 2025-2026
  • Project contributions
  • Product design lead
  • Information architecture
  • Creative strategy
  • Research partnership
  • Cross-functional facilitation
  • Etsy Ads is a tool inside Etsy’s Shop Manager that lets sellers pay to boost where their listings show up on Etsy, but sellers had only two levers over spend — an on/off switch per listing and a single daily budget — while every campaign optimized toward the same fixed return target, treating a seller protecting thin margins the same as one jumpstarting a new item during peak season.
    As the sole designer on a seller experience squad of a PM, seven engineers, an engineering manager, an analyst, and a researcher, I led design across two connected launches that gave sellers real say in that tradeoff: Campaign Strategy, which let them set intent once, account-wide, and Listing-Level Bid Strategy, built on what Campaign Strategy's research surfaced, which pushed that control down to individual listings.
    Outcomes
    Campaign Strategy
    Adopted by 69% of eligible sellers (sellers with an ads budget over $25)
    ~25k increase in sellers crossing into the $25+ budget tier
    Listing-Level Bid Strategy
    Within the first week of launch, advertisers accounting for 18% of Ads GMS had already used the feature — beating the 15% goal three weeks ahead of schedule
    Support volume stayed minimal; seller reaction was neutral to positive
    Launch 1 — Campaign Strategy
    Research & UX

    Early interviews showed sellers think in revenue-vs-spend terms but don't know ROAS, return on ad spend, as a metric, and three early concepts for setting a ROAS target — text-only, a slider, text-and-image — all left them unsure what their choice would do. That told us the problem wasn't explaining ROAS better; ROAS was the wrong mental model entirely. I pushed the team to redesign around three plain-language strategies instead: Increase Orders, Balance Orders with Return, Increase Return.

    A larger evaluative study confirmed the fix: preferences balanced across all three options, and orders emerged as the metric sellers actually reasoned in. It also surfaced gaps that shaped final scope — confusion between a target and a guarantee, and an unmet desire for the tool to account for profit margin, which became a seed for Listing-Level Bid Strategy. Post-launch feedback showed the strategy names still felt abstract, so we renamed them to describe literally what they do: Increase Visibility, Efficient Spending, Lower Click Cost.

    What I owned:

  • The research-to-concept translations
  • Wireframes and research materials for both rounds of testing
  • Design

    With the introduction of Campaign Strategy, I consolidated everything sellers previously managed in separate places — budget selection, strategy selection, and turning the campaign off entirely — into a single settings module, so every lever that shaped ad spend lived in one place instead of scattered across the dashboard.

    I also designed around a hard constraint: the feature is only available to sellers with a daily budget of $25 or more. That threshold does double duty — it nudges lower-budget sellers toward growing their spend, and it keeps the feature limited to sellers whose budget is large enough for a strategy shift to meaningfully change delivery. Within the module, sellers choose from three strategies, each paired with its own illustration and a "learn more" detail view, so the tradeoff stays legible even though the underlying mechanics — bid multipliers tied to a hidden target ROAS — are fairly complex. Making that complexity legible without exposing sellers to a bid-multiplier mental model they'd never asked for was the core design problem here, not just picking a UI pattern.

    Finally, I wanted sellers to see how a strategy change actually played out in their performance, not just take it on faith. I designed an overlay for the dashboard's performance chart that marks when a given Campaign Strategy was active, so sellers could connect a strategy shift directly to the resulting change in their numbers — closing the feedback loop that research flagged sellers didn't have.

    What I owned:

  • The settings information architecture
  • The strategy selection interface
  • The performance-chart overlay
  • The illustration and copy partnerships with Brand and UX content partners
  • Launch 2 — Listing-Level Bid Strategy
    Research & UX

    This started from a narrower question: how do we get sellers to advertise more of their high-GMS listings? Research showed sellers constantly toggling ads for strategic reasons (a listing's ROAS or CPC drifting unfavorable, a niche listing cannibalizing a general one) and external ones (supply, seasonality).

    I turned this question into a workshop: I organized those reasons for toggling into five themes and brought together multiple ads squads — 20 people across functions — to ideate against each. Prioritization of listings won out, matching what sellers had told researchers directly they wanted (rank-ordering listings, capping spend per listing). That led to the moment that started this project, with my PM and EM: we already let sellers do this at the campaign level — what if it worked at the listing level?

    The first real fork: should listing-level strategy replace campaign-level, or run alongside it? I made the call to consolidate to one level only, so sellers got granular control without two settings that could contradict each other.

    What I owned:

  • The five-theme workshop and cross-squad ideation session that surfaced prioritization as the strongest idea
  • The decision to deprecate campaign-level strategy in favor of listing-level control
  • Design

    I explored several low-fidelity directions for how sellers would set a strategy per listing — filtering by strategy, grouping listings by strategy — and landed on a dropdown embedded directly in each listing row. It wasn't the most novel option, but it was the one with the least friction to build. A few decisions along the way shaped how these dropdowns actually worked. I kept the on/off toggle and strategy selector separate rather than combining them, so a seller could turn a listing on without being forced to pick a strategy in the same action, and so a listing's strategy would persist regardless of whether it was currently on or off. And since a table of dozens or hundreds of listings made it hard to tell which strategy was active at a glance — something that matters when it's telling you where your money is going — I worked with the design systems team to settle on a colored dot indicator per strategy.

    Bulk editing was needed to let sellers apply a strategy across many listings at once, since listing-level strategy was replacing campaign-level entirely; I'd wanted to move those bulk editing controls to the bottom of the page, matching a direction other seller teams were exploring, but we kept them at the top to ship faster. However, I was able to modernize the existing pattern rather than reusing it as-is.

    Campaign Strategy's chart overlay only worked when a seller had one strategy for their whole account — it broke down once sellers could run different strategies across potentially hundreds of listings — so I pushed for a new campaign-activity view that could house strategy changes alongside budget adjustments and advertise/de-advertise events instead.

    We also launched differently than Campaign Strategy, which had shipped quietly so we could watch how it behaved before drawing attention to it; this time we launched with a real marketing push, and I partnered with marketing and brand on the launch plan and graphics, on which seller cohorts to target, and with UX content on how to talk to each of them.

    What I owned:

  • The interaction model for setting strategy per listing
  • The on/off-and-strategy separation decision
  • The visual differentiation system built with design systems
  • The bulk-editing update
  • The case for a new activity view to replace the chart overlay
  • The go-to-market collaboration with marketing and brand
  • Case studies