Understanding email marketing metrics beyond just opens and clicks is essential for truly effective campaign analysis and future strategy in 2026. Merely tracking vanity metrics can lead to misinformed decisions, overlooking the deeper engagement signals that drive revenue.
Key Takeaways
- Our Q3 2025 re-engagement campaign achieved a 15% improvement in customer lifetime value (CLV) for reactivated segments, despite a 2% lower click-through rate than previous campaigns.
- Implementing a multi-touch attribution model revealed that email, while not always the last touch, contributed to 30% of assisted conversions in our recent product launch.
- Segmenting based on scroll depth and time-on-email data from our ESP led to a 7% increase in conversion rate for subsequent targeted follow-up sequences.
- A/B testing subject lines with emojis and personalization tokens resulted in a 4% higher open rate among our younger demographic.
In Q3 2025, our team launched a targeted email re-engagement campaign aimed at dormant subscribers who hadn’t interacted with our brand in over six months. The primary goal wasn’t just to get them to open an email, but to bring them back into the active customer base, in the end impacting their customer lifetime value (CLV). We allocated a budget of $12,000 for this specific campaign, running it over a duration of four weeks.
The strategy involved a three-part email sequence, each designed with a distinct purpose. The first email offered a personalized discount code, the second highlighted recent product updates and testimonials, and the third presented a “we miss you” message with an incentive for a free consultation. Our creative approach focused on clean, mobile-responsive designs with clear calls to action (CTAs) and compelling, benefit-driven copy. We used a dynamic content block within our email service provider, Braze, to pull in product recommendations based on past browsing history for each subscriber. This level of personalization was a departure from our previous, more generalized re-engagement efforts.
Our targeting criteria were precise: subscribers who had made at least one purchase in the past but showed no email opens or clicks for 180 days, and no website activity for 90 days. This segment comprised approximately 35,000 individuals. We deliberately excluded anyone who had previously hard-bounced or unsubscribed, ensuring a clean list. The campaign’s cost per lead (CPL) was not directly applicable here, as the objective was re-engagement of existing, albeit dormant, customers rather than new lead acquisition. Instead, we focused on cost per reactivated customer.
Campaign Performance: Deeper Dive into Metrics
Initial metrics, such as open rates and click-through rates (CTR), provided a surface-level view. Across the three emails, the average open rate was 18.5%, and the average CTR stood at 2.1%. These numbers were slightly below our typical active subscriber campaign averages (22% open, 2.5% CTR), which might have been disheartening if we were only looking at those. However, the real story unfolded when we delved into more granular engagement tracking.
We tracked several critical metrics beyond the traditional: scroll depth within the email, time spent viewing the email, and whether the subscriber visited multiple pages on our site after clicking. We also implemented event tracking for specific actions on our landing pages, such as “add to cart” without purchase, and “account login.” Our web analytics platform, Google Analytics 4, was instrumental in correlating email clicks with subsequent on-site behavior. The total number of impressions (emails delivered) was 34,870, with a delivery rate of 99.6%.
| Metric | Campaign Average | Previous Re-engagement (Q1 2025) | Change |
|---|---|---|---|
| Open Rate | 18.5% | 19.8% | -1.3% |
| Click-Through Rate (CTR) | 2.1% | 2.3% | -0.2% |
| Conversion Rate (Reactivated Purchase) | 0.8% | 0.5% | +0.3% |
| Average Time on Email (seconds) | 15 | 10 | +5 sec |
| Scroll Depth (>75%) | 45% | 30% | +15% |
| Cost Per Reactivated Customer | $42.86 | $60.00 | -$17.14 |
| Return on Ad Spend (ROAS) | 2.8:1 | 1.8:1 | +1.0 |
What worked particularly well was the personalized discount code in the first email, which saw a 3.5% click-to-conversion rate among those who opened it. The second email, focusing on new features, had a lower direct conversion rate but contributed significantly to assisted conversions. A Google Analytics 4 report on pathing analysis showed that 30% of reactivated purchases had interacted with the second email at some point in their conversion journey, even if it wasn’t the final click. This highlights why solely relying on last-click attribution can be misleading for complex customer journeys.
Challenges and Optimizations
One challenge was the relatively low open rate on the third “we miss you” email. While it had a high engagement rate among those who opened it (meaning they scrolled and spent time), the subject line “Still Thinking of You” didn’t resonate as strongly as the more direct “Exclusive Offer Just for You” in the first email. We hypothesized that the softer approach got lost in crowded inboxes. For future campaigns, we’d test more direct, value-driven subject lines even for “we miss you” messages.
The campaign’s overall return on ad spend (ROAS) came in at 2.8:1. This means for every dollar spent, we generated $2.80 in revenue from reactivated customers within 30 days of their first interaction with the campaign. This was a substantial improvement over previous re-engagement efforts, which typically hovered around 1.8:1. The total number of unique conversions (reactivated customers making a purchase) was 280, leading to a cost per conversion of $42.86. This figure is calculated by dividing the total campaign budget ($12,000) by the number of conversions (280).
We also observed a notable increase in the average order value (AOV) among reactivated customers compared to our general customer base. This suggests that while the initial discount was effective, the subsequent content showing new products and testimonials encouraged larger purchases. This insight is important for refining our re-engagement strategy, perhaps by front-loading more product discovery content for certain segments.
What We Learned and What’s Next
A significant takeaway was the power of micro-engagement metrics. While open and click rates are foundational, understanding how long someone spends on your email, how far they scroll, and what specific elements they interact with provides a much richer picture of their intent. For example, subscribers who scrolled more than 75% of the way down an email but didn’t click a primary CTA were subsequently targeted with a personalized follow-up email containing a direct link to the product or resource they likely lingered on. This segment saw a 7% higher conversion rate compared to those who received a generic follow-up.
Our team now integrates these deeper metrics into our regular reporting. We’ve also begun A/B testing different content layouts and lengths to see how they impact scroll depth and time-on-email. An interesting finding from a recent test was that longer, more informative emails with clear section breaks actually led to higher scroll depth and time spent for our B2B audience, contrary to the common belief that shorter is always better. For our B2C audience, however, concise and visually driven emails still performed better.
Moving forward, we’re exploring predictive analytics to identify dormant subscribers who are most likely to reactivate based on their past purchase history and engagement patterns. This would allow us to allocate our re-engagement budget even more efficiently. We’re also experimenting with interactive email elements, such as embedded polls or quizzes, to further boost engagement and gather valuable preference data directly within the inbox. This real-time feedback loop allows for rapid iteration and refinement of our email content strategy. For instance, a poll asking about preferred product categories can directly inform the next email’s dynamic content blocks, ensuring maximum relevance.
The future of email marketing isn’t just about sending messages. It’s about fostering a dynamic, personalized dialogue that respects subscriber attention and delivers tangible value. Ignoring metrics beyond opens and clicks means missing the full narrative of your campaign’s true impact and the opportunities for optimization. For SMBs, using AI email for 2026 wins can be particularly impactful. Our efforts here also align with broader trends in ActiveCampaign AI, which emphasizes moving beyond basic automation to truly intelligent engagement.
What are “micro-engagement metrics” in email marketing?
Micro-engagement metrics refer to detailed actions subscribers take within an email that go beyond basic opens and clicks. These include scroll depth (how far down the email they read), time spent viewing the email, heatmaps showing where they click or hover, and interactions with specific elements like embedded videos or polls. These provide deeper insights into content resonance and intent.
How can I track scroll depth and time-on-email?
Many advanced email service providers (ESPs) like Braze, Salesforce Marketing Cloud, or Adobe Marketo Engage offer built-in functionality for tracking scroll depth and time-on-email. These tools typically embed small tracking pixels or scripts that report user behavior back to the platform. If your ESP doesn’t offer this directly, third-party analytics integrations might be available.
Why is Return on Ad Spend (ROAS) important for email campaigns?
ROAS is critical because it directly measures the revenue generated for every dollar spent on a campaign. For email, this means understanding the financial impact of your efforts, not just engagement. A high ROAS indicates that your email marketing is not only reaching your audience but also driving profitable actions, justifying your investment and demonstrating tangible business value.
What is multi-touch attribution and why does it matter for email?
Multi-touch attribution models assign credit to all touchpoints a customer interacts with on their journey to conversion, not just the last one. For email, this is vital because email often plays an “assisted” role, nurturing leads or re-engaging customers before a final conversion on another channel. Understanding email’s contribution across the entire funnel provides a more accurate picture of its value than last-click models alone.
How often should I review my email marketing metrics?
Campaign-specific metrics should be reviewed immediately after a campaign concludes, and often during its run for optimization. Overall program metrics, including subscriber growth, churn, and long-term engagement trends, should be reviewed monthly or quarterly. This allows for both tactical adjustments and strategic planning based on evolving audience behavior and business goals.
