Shopify Email Analytics: What Metrics Matter to Improve Email Performance

Email marketing delivers some of the strongest returns in ecommerce, with industry studies reporting $36 to $42 for every $1 spent. For Shopify merchants, that makes understanding email performance more than just a reporting exercise; it is a critical part of growing revenue, retaining customers, and improving marketing efficiency. 

But here's what many merchants discover as their stores grow: the metrics you start with, opens, clicks, conversions, and revenue, only tell part of the story. The harder and more valuable question is which emails are actually contributing to profit, not just revenue. That is where Shopify email analytics begins, and where it eventually needs to go.

Read on to learn how Shopify Email Analytics works, why many brands outgrow it, and what comes next as email analytics evolves from revenue to profit. 

TL;DR

• Shopify Email provides the essential analytics most merchants need when starting out. 

• Growing stores often move to platforms like Klaviyo, Omnisend, and Mailchimp for deeper automation, segmentation, A/B testing and reporting.

• Even advanced email platforms primarily measure engagement and attributed revenue, not profitability.

• Two email campaigns can generate similar revenue but very different profits.

• Measuring email profitability requires combining campaign performance with Shopify store data.

• Bloom helps merchants measure the profitability of email campaigns across supported email platforms.

What Is Shopify Email and What Analytics Does It Provide?

Shopify Email is the native email marketing tool built directly into the Shopify admin. Because it lives inside Shopify, merchants can access customer lists, product data, discount codes, and store information without needing additional integrations or data syncing.

The platform is built for simplicity. Merchants can create campaigns using pre-built templates and a drag-and-drop editor, pull products directly into emails, and use basic audience segmentation. Shopify Email also supports foundational automations: welcome emails, abandoned cart reminders, and post-purchase follow-ups.

The Shopify email analytics features that come with the platform cover the metrics most merchants need when starting out: open rates, click rates, conversion rates, attributed revenue, bounce rates, and unsubscribe rates. For a merchant sending their first few thousand emails and learning what works, this is a practical, well-integrated starting point. The data is accessible, the setup is minimal, and the connection to your Shopify store means attributed orders flow through without manual work.

Why Growing Stores Eventually Move Beyond Shopify Email

Shopify Email handles the fundamentals well. But as a store's customer base grows, email programs naturally become more complex, and the gaps in what Shopify Email can do become more visible.

Segmentation and personalization at scale. Growing brands want to target customers based on purchase history, lifetime value, product preferences, and engagement behavior. Sending the same message to every subscriber becomes increasingly ineffective as list sizes grow and customer profiles diversify.

Multi-channel customer journeys. Email is rarely the only touchpoint. Many merchants expand to SMS, push notifications, and coordinated cross-channel workflows that respond to customer behavior across multiple touchpoints in sequence.

More sophisticated automation. Welcome emails and abandoned cart reminders are valuable, but larger stores often need lifecycle campaigns that go further: browse abandonment flows, replenishment reminders, VIP sequences, and win-back programs that respond to changes in customer behavior over time.

Testing and optimization. As email volume increases, merchants need robust A/B testing across subject lines, content, audiences, offers, and send times. Deliverability analysis and segment-level performance reporting become important inputs to improving results.

Richer reporting and attribution. Understanding which campaigns are driving engagement and revenue across different customer segments, flows, and touchpoints requires reporting depth that Shopify Email is not designed to provide.

For these reasons, many growing merchants move to dedicated platforms such as Klaviyo, Omnisend, and Mailchimp. These tools are built for scale, and they offer meaningfully more capability across all of these areas.

What Dedicated Email Platforms Add to the Picture

Klaviyo, Omnisend, and Mailchimp are designed around a central idea: email marketing should adapt to customer behavior rather than treat every subscriber the same. That shapes what these platforms are built to do.

At their core, they enable behavior-driven customer journeys. A customer can automatically enter a different workflow depending on whether they browsed a product, abandoned a cart, made a purchase, or gone quiet. Combined with advanced segmentation, this means the message a customer receives reflects where they are in their relationship with your brand, not just when they were last emailed.

These platforms also give merchants far more control over list management, automation complexity, and campaign personalization. A/B testing is deeper, reporting is richer, and segment-level insights are genuinely actionable rather than high-level.

Each platform extends these capabilities in its own direction. Klaviyo adds predictive customer insights and ecommerce personalization. Omnisend builds out customer journeys across SMS and push notifications. Mailchimp offers broad flexibility through integrations with a wide range of tools and sales channels.

For most growing Shopify merchants, adopting one of these platforms is the right move. They solve real problems, provide substantially more visibility than Shopify Email, and support the kind of lifecycle marketing that builds long-term customer value.

The Analytics Gap That Still Remains

Here is where things get interesting, and where many merchants eventually hit a ceiling they were not expecting.

Even on Klaviyo, Omnisend, or Mailchimp, the analytics you get are built around engagement, conversions, and attributed revenue. These are the metrics these platforms were designed to measure, and they measure them well.

But they generally stop short of answering the question that becomes increasingly important as a store scales: which email campaigns are actually profitable?

Revenue is not profit. A campaign can generate impressive attributed sales while producing a very different result once discounts, product costs, shipping expenses, transaction fees, and refunds are taken into account. The gap between revenue and profit can be dramatic, and it can vary significantly from one campaign to the next.

Consider two illustrative campaigns that appear identical on revenue:

Looking at revenue alone, both campaigns look equally successful. Looking at what the business actually kept after costs, the picture changes completely.

This is not a hypothetical edge case. It describes what happens regularly when merchants run promotions, test discount-driven campaigns, or send to segments with different product preferences and return behaviors. Revenue as a proxy for email performance can lead to exactly the wrong conclusions about what to do more of and what to stop.

Most email platforms are not built to surface this. They are not Shopify-native, they do not have access to your full cost structure, and contribution margin is simply not what they were designed to calculate. That is not a criticism; it is just not their job.

How Merchants Can Add a Profitability View to Email Analytics

For merchants who have moved to Klaviyo, Omnisend, or Mailchimp and want to understand email profitability, the challenge is that the data needed to answer that question lives in two different places. Campaign performance sits inside the email platform. Order-level costs, product margins, discounts, refunds, and fulfillment costs sit inside Shopify.

Connecting those two data sets is what Bloom, a Shopify-native profit analytics app, is built to do for merchants using supported email platforms. Bloom currently integrates with Klaviyo, Omnisend, and Mailchimp, but not with Shopify Email. 

By pulling campaign and flow data from supported email platforms and combining it with Shopify store data, Bloom connects individual orders back to the campaigns and flows that generated them. It then calculates contribution margin and profitability at the campaign level, giving merchants visibility into not just how much revenue an email generated, but how much profit it actually created after costs are applied.

That makes it possible to answer questions that revenue reporting alone cannot:

• Which campaigns are generating the strongest contribution margin?

• Which automated flows are creating the most profitable sales?

• Which customer segments are driving the highest actual value?

• Which promotional campaigns are eroding margins more than they are building it?

For merchants who are already investing seriously in email as a retention and revenue channel, these answers change how decisions get made. Budget, promotional depth, segmentation priorities, and automation investments all look different when you are optimizing for profit rather than for revenue.

That is the difference between using email analytics to report on what happened and using it to guide what to do next.

The Next Stage of Email Analytics

Most merchants start with Shopify email analytics because it is already there, it works, and it covers the basics. As the store grows, the limitations of a simpler tool become apparent, and moving to a dedicated platform like Klaviyo, Omnisend, or Mailchimp makes sense. The investment pays off in better automation, richer segmentation, and deeper reporting on engagement and revenue.

But there is a third step that many merchants do not take until they are deep into scaling. Once email becomes a significant driver of store revenue, understanding its contribution to profit becomes just as important as understanding its contribution to revenue. At that point, the question is not just "which campaign performed best?" It is "which campaign was worth running?"

Connecting email performance to profit does not require switching platforms or rebuilding workflows. It requires adding the missing layer between revenue and business impact, so you can understand not just which emails generate sales, but which ones actually grow your business. 

If you're ready to add that missing layer to your email analytics, connect with the Bloom team. 

Frequently Asked Questions

What analytics does Shopify Email provide? 

Shopify Email includes built-in tracking for open rates, click rates, conversion rates, attributed revenue, bounce rates, and unsubscribe rates. These metrics give merchants a view of campaign engagement and the sales attributed to each email, but do not cover profitability after costs such as discounts, product costs, shipping, and refunds.

Why do merchants move from Shopify Email to platforms like Klaviyo or Omnisend? Growing stores typically need capabilities that Shopify Email is not designed to provide: advanced automation and multi-step lifecycle flows, deeper audience segmentation, A/B testing, cross-channel marketing (such as SMS and push notifications), and richer campaign and flow reporting. Dedicated email platforms are built to support these more sophisticated programs.

Can Shopify Email analytics show me which campaigns are profitable?

No. Shopify email analytics features cover engagement and attributed revenue, but do not calculate profitability after costs. To understand which campaigns are generating profit rather than just revenue, merchants need a tool that connects email campaign data with cost-level data from Shopify, such as Bloom for merchants using Klaviyo, Omnisend, or Mailchimp.

What is the difference between email revenue and email profit?

Attributed revenue is the gross sales connected to an email campaign. Email profit is what remains after deducting discounts, product costs, fulfillment costs, transaction fees, and refunds. Two campaigns can generate identical revenue while producing very different profit outcomes depending on discount depth, product mix, and return rates.

Which email platforms does Bloom integrate with for email profitability analytics? 

Bloom currently integrates with Klaviyo, Omnisend, and Mailchimp. It does not currently integrate with Shopify Email.