Building Shopify's Merchant Marketing Platform

The Marketing Tab launched with ad integrations, giving merchants more tools to grow their store without ever leaving the Shopify admin. The goal was to absorb the complexity that comes with connecting to platforms like Google and Facebook: business accounts, domain verification, two-factor authentication, pixel and server-side tracking, catalog feeds, restricted ad categories, so merchants could run marketing through partnership-driven, platform-native integrations instead of piecing it together themselves.

The design challenge was creating a coherent, Shopify-native surface on top of very different underlying systems, each with its own data model, terminology, and edge cases.

The next move was a strategic one: build email natively rather than partner with a tool like Mailchimp or Klaviyo. Email is the channel that converts the most customers and holds the richest customer-segment data, and owning it meant tighter integration with commerce data and the ability to build deeper features over time, like the automations we shipped down the road.

I was part of the initial discovery work for Shopify Email, then handed it off to a new team who would go on to lead the product. The partnership between our two teams continued to shape several patterns on the Marketing Tab side: richer, responsive-aware previews of email content, and a visual-editor step in the integration creation flow.

The first version of Campaigns introduced a simple but important idea: merchants could group related marketing activities (an ad, an email, a discount) under a single campaign name and goal. For the first time, a merchant running a Father's Day promotion could see everything tied to that moment in one place: Facebook audience-building ads, dynamic retargeting, Shopify Email sends, page posts, each with start dates, spend, and status.

The design challenge was significant: multiple channels, each with different data models and lifecycle states, all had to feel coherent inside a single surface.

Templates turned a pattern we'd observed in research into a product feature. Our most successful merchants were running the same playbooks repeatedly: a specific combination of ads, email, and post-purchase flows for every major sale moment. Templates codified those playbooks and made them available to every merchant.

A merchant launching a Back-to-School campaign could start from a template that included the goal, the recommended channel mix, the suggested timeline, and the key tactics pre-configured, then customize from there. The design problem shifted from "how do you create a campaign?" to "how do you understand a campaign strategy and make it your own?"

Part of what we learned from studying merchants' playbooks was that a large share of their marketing already ran on autopilot: sequences of triggered actions run over and over, based on what a customer did, without a person re-launching the same campaign each time. Automations brought that time-triggered and behaviour-triggered logic natively into the Marketing Tab. Merchants could set up abandoned cart recovery, post-purchase sequences, win-back flows, and more, without manually re-running the same campaign each time.

The design challenge was sophistication: automations range from single-step to complex multi-branch sequences. We designed a tiered experience: pre-built automations for merchants who wanted to start immediately, and a workflow builder for merchants who wanted full control.

Before this, a merchant's only view into performance was scattered: an individual report for each marketing activity (an ad, an email) or a channel-level report (Google, Facebook, and so on). Impressions, clicks, and ROAS existed in isolation inside each one, disconnected from any sense of how the campaign was doing as a whole. Campaign Reports gave merchants a single place to understand what drove results, compare channels, and decide where to invest next: goals versus actuals, a channel-level breakdown, performance over time, and attribution context, all in one view.

We also gave merchants the ability to link campaigns they ran outside Shopify into that same view, using UTM parameters. That mattered most for sophisticated merchants working with agencies or running marketing entirely through external platforms: they could still see everything in one place.

The harder design challenge was attribution. Most channels report their numbers using their own model for how a click or a sale gets counted, and those models disagree with each other. We had to settle on one universal model for Shopify's view without eroding merchant trust when our numbers didn't match what they were seeing inside the channels themselves. The most important design decision here was surfacing the attribution model and data source directly alongside the numbers. Making the methodology transparent gave merchants the context to trust the data and make decisions from it.

The Unified Marketing view was the top-level view that pulled everything together. Every campaign (whether run entirely in Shopify, partially in Shopify, or connected from an external platform) appeared in a single table. Merchants could see their complete marketing picture at a glance: status, KPI summary, channel mix, and spend.

The design challenge was data heterogeneity: different channels have different metrics, different attribution windows, and different definitions of "success." The solution was a fixed KPI column set with visible data source context. Instead of pretending all campaigns were measured the same way, we made the channel mix and connected platforms visible in the table itself.