Email marketing drives revenue. Everyone agrees on that. But figuring out exactly how much revenue each email generates? That's where things get messy.

Most email platforms will proudly show you a "revenue attributed to email" number. And that number is almost always inflated. Understanding how attribution actually works will save you from making bad decisions based on misleading data.

Here's what you need to know.

How Email Attribution Works

When someone clicks a link in your email and then makes a purchase, that purchase gets "attributed" to the email. Simple enough. But the details matter.

Click-through attribution: The customer clicked a link in the email, visited your store, and bought something. This is the most straightforward and trustworthy attribution model.

Open-based attribution: The customer opened the email (but didn't necessarily click), then visited your store and bought within a time window (usually 24-48 hours). This is sketchier because the purchase might have nothing to do with the email.

Last-click attribution: The last email the customer interacted with before purchasing gets all the credit. Even if they saw 5 emails, the last one gets 100% of the attribution.

View-through attribution: The customer was sent the email, and even if they didn't open it, a purchase within a certain window gets partially attributed. This is mostly meaningless.

The problem is that most platforms default to the most generous attribution model because it makes their numbers look better. If your email platform says "we drove $50,000 in revenue this month" and uses open-based attribution with a 5-day window, the real number might be half that.

Setting Up Proper Attribution

Here's what you need to do to get accurate numbers.

Use click-based attribution as your primary metric. It's the most reliable. The customer clicked a specific link in a specific email and then purchased. There's a clear chain of intent.

Set a reasonable attribution window. 24 hours for most products. Maybe 48-72 hours for high-consideration purchases. A 30-day attribution window (some platforms default to this) is too generous and will inflate your numbers.

Track UTM parameters. Add UTM tags to every link in your emails. This lets you verify email attribution in Google Analytics independently from your email platform's reporting.

Example UTM structure:

utm_source=sequenzy (or your email platform name)
utm_medium=email
utm_campaign=bfcm-sale-2026
utm_content=hero-cta (for A/B testing different elements)

Compare email platform reports with your analytics. Your email platform will report email revenue. Google Analytics (or whatever you use) will also report email revenue. These numbers should be roughly similar. If your email platform claims 3x more revenue than your analytics tool shows, the attribution model is too generous.

With Sequenzy's goals and attribution, you can track revenue attributed to specific campaigns and sequences with click-based tracking, so you see numbers you can actually trust.

The Metrics That Actually Matter

Stop obsessing over open rates. Here are the numbers worth tracking for ecommerce email.

Revenue Per Email Sent

Total revenue attributed to an email divided by the number of emails sent. This tells you how much each send is worth and lets you compare different campaigns and sequences.

Why it matters: A campaign to 1,000 highly engaged subscribers might generate more revenue per email than a blast to your full 50,000 list. This metric helps you see that.

Revenue Per Subscriber

Total email revenue divided by total active subscribers. This tells you how much your email list is worth per person. Useful for calculating the ROI of list growth efforts.

Benchmark: $1-5 per subscriber per month is typical for healthy ecommerce email programs.

Conversion Rate by Sequence

For each automated sequence (cart abandonment, welcome, post-purchase, win-back), track the percentage of people who enter the sequence and eventually make a purchase.

This helps you identify which sequences are pulling their weight and which need work.

Revenue by Channel

What percentage of your total revenue comes from email? Track this monthly.

Benchmarks:

Under 15%: Your email program is underperforming
15-25%: Good. Your automations are probably working.
25-35%: Very good. You're leveraging email well.
Over 35%: Either excellent or your attribution is inflated. Double-check.

Customer Lifetime Value by Acquisition Source

Track CLV for customers acquired through email vs. paid ads vs. organic. This usually reveals that email-acquired customers have higher CLV because they opted in willingly and went through your welcome sequence.

Attribution Traps to Avoid

Don't count orders that would have happened anyway. Someone who has your store bookmarked and visits every week to buy is going to purchase whether or not you send them an email. If they happen to open your email on the same day, your platform attributes that sale to email. It shouldn't be.

Don't double-count across channels. If a customer clicked an email AND a Facebook ad before purchasing, both channels will try to claim that revenue. Make sure you're not adding up attributions across channels and thinking you made more than you did.

Don't let inflated attribution drive budget decisions. If your email platform claims 40% of revenue comes from email (with generous attribution), and you use that to justify your email spending, you might be over-investing in email and under-investing in channels that actually need help.

Be skeptical of "revenue influenced" metrics. Some platforms show "revenue influenced by email" which can include anyone who received an email in the last 30 days. This is basically meaningless for most stores since nearly everyone on your list received an email in the last 30 days.

How to Improve Email Revenue (For Real)

Once you have accurate attribution, here's how to actually increase the number.

Fix your automations first. Automated sequences (cart recovery, welcome, post-purchase) typically drive 30-50% of total email revenue while requiring almost no ongoing work. If your automations aren't set up or aren't performing well, that's where to focus.

Segment your campaigns. Sending targeted campaigns to relevant segments converts better than blasting your whole list. A campaign for "customers who bought shoes in the last 90 days" with shoe-related content will always outperform a generic campaign.

Optimize send timing. The same email sent at the right time can generate 20-30% more revenue than one sent at the wrong time. Use send time optimization if your platform supports it.

Test subject lines. Open rate directly impacts revenue. Better subject lines mean more opens, more clicks, and more purchases. Test different approaches and learn what your audience responds to.

Clean your list regularly. Removing disengaged subscribers improves deliverability, which means more of your emails reach the inbox, which means more revenue. A smaller, engaged list outperforms a large, stale one.

Getting Started

If you're not tracking email revenue at all:

Make sure your email platform is connected to your store (Shopify, WooCommerce, etc.) for purchase tracking
Set your attribution model to click-based with a 24-48 hour window
Add UTM parameters to your email links
Check your monthly "revenue from email" percentage
Compare your email platform's numbers with your analytics tool

If the numbers don't roughly match, dig into the attribution settings and tighten them up. Better to have accurate, lower numbers than inflated ones that give you false confidence.