Ultimate Guide to Email Send Time Optimization

Ultimate Guide to Email Send Time Optimization

Digital Marketing

Jun 2, 2025

Learn how to optimize email send times for better engagement and increased ROI through audience segmentation and A/B testing strategies.

  • 23.8% of email opens happen in the first hour after delivery.

  • Mondays at 4 PM have an average open rate of 53.4%, according to MailerLite.

  • Emails sent at the right time can boost open and click rates by 5–10%.

How to Optimize Your Email Timing:

  1. Segment your audience: Use data like time zones, habits, and engagement history.

  2. Match timing to email type:

    • Promotions: Mid-morning (9–11 AM)

    • Newsletters: Afternoons or weekends

    • Automated emails: Send immediately after triggers.

  3. A/B test: Experiment with different days and times to find what works best.

  4. Use tools and AI: Platforms with Send Time Optimization (STO) analyze behavior to pick the best time for each subscriber.

Metrics to Track:

  • Open rates (goal: 20–30%)

  • Click-through rates (goal: 5–8%)

  • Conversion rates and revenue per email

Pro Tip: Use automation and AI to ensure emails land at the best time for your audience. This can improve click rates by 13.44% and revenue by 41%.

Timing matters - test, adjust, and track results to maximize engagement.

How To Identify The Best Send Times? - TheEmailToolbox.com

What Is Email Send Time Optimization

Email send time optimization (STO) uses data and analytics to pinpoint the best time to send marketing messages to each subscriber. Instead of blasting emails to everyone at once, STO studies subscriber behavior, usage habits, and engagement history to predict when they’re most likely to open and interact with your emails.

"Send time optimization refers to the practice of dynamically sending marketing messages - emails, push notifications, etc. - at the time that recipients are most likely to engage with them." - Taylor Briggs, Product Marketing Manager, Iterable [2]

This highlights the personalized nature of STO. By diving into individual data points, STO technology creates tailored delivery schedules, helping brands connect with customers on a more personal level.

The results? A potential 5–10% increase in open and click rates, as emails land at the exact moments subscribers are most engaged [5].

"At the core of email marketing is a very simple objective: To reach the correct people with the correct message at the correct moment." - Ongage.com [3]

Understanding this personalized strategy is key to seeing how STO can directly improve email performance.

How Send Times Affect Email Performance

Timing is everything in email marketing. When emails arrive while subscribers are actively checking their devices, they’re more likely to grab attention, leading to higher open and click-through rates.

Time zones are another critical factor. For example, an email sent at 9 AM Eastern Time may hit inboxes on the West Coast at 6 AM - far too early for most people. STO technology adjusts for these differences, ensuring emails arrive during each subscriber’s local peak hours. Additionally, avoiding busy periods - like Monday mornings or Friday afternoons - can significantly improve visibility and engagement.

Data Sources for Send Time Optimization

To make precise timing decisions, STO relies on a mix of data sources that work together to fine-tune delivery:

  • Historical engagement metrics: These track when subscribers have opened, clicked, or made purchases in the past, helping predict future behavior with greater accuracy.

  • Cross-channel behavior: Data from website visits, social media activity, app usage, and purchase history adds valuable context. For instance, knowing someone’s online shopping habits can guide email timing.

  • Device and location data: Whether a subscriber checks emails on their phone during lunch breaks or on a desktop in the morning, this information ensures emails arrive at the right local times.

  • Campaign-specific analytics: Different emails perform better at different times. For example, newsletters might thrive on weekend mornings, while promotional emails could see more clicks during weekday lunch hours.

  • Seasonal and behavioral trends: Cyclical patterns, like holiday shopping spikes or industry-specific busy seasons, also shape timing strategies. Advanced STO systems take these trends into account for smarter decisions.

How to Optimize Email Send Times

Getting the timing right for your email campaigns can make all the difference. By segmenting your audience, aligning schedules to the type of campaign, and testing consistently, you can ensure your emails land when your audience is most likely to engage.

Segment Your Audience by Behavior

Understanding your audience's habits is the first step. When do they check their inbox? Are they early risers or night owls? By analyzing daily routines, you can pinpoint the times when recipients are most likely to open and engage with your emails. For example, time zone segmentation is a must - sending an email at 9:00 AM on the East Coast shouldn't mean hitting West Coast inboxes at 6:00 AM.

Your email platform’s analytics can reveal even more. Look at engagement history to see when individual subscribers typically open emails, click links, or make purchases. Some might prefer browsing emails during their morning commute, while others might engage more during relaxed evening hours.

"Segmentation is key. The more you know your subscribers/customers, the more you'll be able to segment your database and your sendings." - Victor Montaucet, CEO, Ben&Vic [8]

You can also segment by demographics and lifestyle factors. For instance, B2B audiences are more active during standard business hours, while B2C audiences often engage more during evenings or weekends. Tailor your approach to these patterns for better results.

Adjust Send Times for Different Campaign Types

The type of email you’re sending plays a big role in determining the best time to hit "send."

  • Promotional emails tend to perform best in the mid-morning, particularly between 9:00 AM and 11:00 AM. According to HubSpot, emails sent around 11:00 AM (EST) often achieve higher open rates [7]. To account for potential delays, consider scheduling them a few minutes earlier, like 10:55 AM.

  • Newsletters often see better engagement during early afternoons or weekends, when readers have more time to dive into longer content. Think about how much time your audience might need to read through the email when picking the send time.

  • Automated emails tied to specific actions - like welcome emails or abandoned cart reminders - should be sent as close as possible to the triggering event. Whether it’s immediate or a few hours later, timing these emails well can significantly boost their effectiveness.

  • Event-triggered emails require precise timing. For example, early access emails for a product launch should target your most engaged customers during their peak activity hours. This ensures your message gets noticed when they’re most attentive.

  • Day-of-week trends also matter. Across industries, weekdays consistently outperform weekends. Tuesday, Wednesday, and Thursday are particularly strong, with open and click-through rates averaging around 18%. In contrast, weekends often see rates dip below 15% [6][7].

Test and Improve Your Results

Once you’ve segmented your audience and adjusted send times for your campaigns, it’s time to test your strategy.

A/B testing is a valuable tool for fine-tuning send times. By sending emails at different times to separate audience groups, you can identify when your subscribers are most active and engaged [9]. For example, test sending emails on different days or at varying times within a day to see what works best.

Planning these tests carefully is crucial. Divide your audience into statistically significant groups and include a control group that receives emails at the usual time. This will help you measure the impact of alternative timings more accurately [11].

When evaluating results, focus on key metrics like open rates, click-through rates, conversion rates, and unsubscribe rates. Reviewing past campaign data can also provide insights into the timing that resonates most with your audience [1].

Finally, stay flexible and adapt. Audience habits and trends can change over time, so regularly revisit and adjust your send times. Keep external factors in mind, like differences in email clients, which can also influence results [10].

Tools for Email Send Time Optimization

Fine-tuning the timing of your email campaigns is no longer a guessing game. With advanced tools and data-driven insights, you can schedule emails with precision, ensuring they land in your subscribers' inboxes at just the right moment.

Email Platform Features

Most major email platforms now come equipped with AI-powered send time optimization tools. These tools analyze subscriber behavior - like when they open emails or click on links - and use that data to automatically schedule emails for maximum engagement.

"Send Time Optimization (STO) is an AI-driven add-on for your email campaigns, which analyzes the email responses of every recipient in relation to the campaign launch time, and then sends the next email at the optimal time for them" - Emarsys [12]

Key features to look for include:

  • Timezone detection to ensure emails arrive at the correct local time.

  • Audience segmentation to group subscribers based on their engagement habits.

  • A/B testing tools to experiment with and identify the best send times.

  • Personalized delivery scheduling powered by machine learning, which determines the ideal time for each subscriber to receive an email.

These features work together to maximize open and click rates, making your campaigns more effective.

Using Automation and AI

Automation and AI have transformed email send time optimization, offering a level of precision that manual scheduling can’t match. AI tools analyze historical data - like open rates, clicks, and conversions - to predict the best moment to send emails. This approach has been shown to boost click-through rates by 13.44% and increase revenue by 41%. In fact, 70% of marketers are already leveraging AI in their email strategies [13].

AI systems are constantly learning and adapting to changing subscriber habits. They also help combat email fatigue by spacing out messages and avoiding overcrowded inbox times, ensuring your emails grab attention when it matters most.

For businesses looking for even more control, custom scheduling via APIs offers a powerful solution.

Custom Scheduling with APIs

When your scheduling needs go beyond standard features, email APIs provide unmatched flexibility. These tools allow you to create custom logic that triggers emails based on specific events or real-time user behavior.

APIs can schedule emails dynamically, tailoring delivery to each subscriber’s activity. For example, an e-commerce business could use APIs to send abandoned cart reminders at the exact time a customer is most likely to shop. This approach not only boosts efficiency but also ensures your emails avoid busy periods, increasing the chances they’ll be seen.

"Email APIs play an important role in driving the interactive experience that we have come to expect when we transact online. From the start to the end of a customer journey, the email API is working tirelessly to automate email sending" - MailerSend [14]

Measure Success and Improve Your Strategy

After rolling out your email send time optimization tools and strategies, the next step is to measure how well they’re working and tweak your approach based on actual results. Tracking the right metrics will give you a clear picture of your timing’s impact on engagement and revenue.

Metrics to Track

Certain metrics can tell you how well your timing choices are resonating with your audience.

  • Open rates: This is the first sign of success. A typical benchmark for open rates is 20–30% [15].

  • Click-through rates (CTR): This metric shows deeper engagement. A 5% click rate is solid, while anything over 8% is exceptional [15]. As Erin Aguilar, senior customer success manager at Klaviyo, puts it:

    "Click rate is a true indicator of customer engagement." [16]

  • Conversion rates: This ties your timing strategy to actual results. It measures whether recipients are taking the actions you want after opening and clicking your emails.

  • Unsubscribe and bounce rates: High unsubscribe rates (average for ecommerce is 0.19%[17]) or bounce rates (which should stay below 2%[17]) might signal that your timing needs adjustment.

  • Revenue per email: This is the ultimate performance measure. Email campaigns typically generate an impressive $36 for every $1 spent [17]. Randy McHugh, founder of Stimulate Agency, explains:

    "The best way to optimize email revenue per recipient is by refining your segmentation strategy." [16]

Tracking these metrics will help you understand how well your send time optimization tools are performing.

How to Analyze A/B Test Results

A/B testing is an essential tool for identifying the best send times. Look at open rates, CTR, and conversions together to evaluate test results. For example, if a specific send time leads to high open rates but low clicks, it might mean people are checking their inboxes but not engaging with your content. On the other hand, lower opens but higher conversions could indicate you’re reaching a smaller, more motivated audience.

Keep in mind that external factors, like how email clients display messages or how users interact on different devices, can influence results. For instance, a time that works well for mobile users may not suit desktop users. Segmenting your audience can uncover these patterns. With nearly two-thirds of customers expecting companies to adapt to their preferences [10], segmentation analysis becomes essential.

Before making any changes, confirm statistical significance in your test results. This ensures your adjustments are based on reliable data.

Use Campaign Results to Improve

Turn your performance insights into actionable steps for improvement. The goal isn’t just to gather data - it’s to create a feedback loop that adapts to your audience’s evolving behavior.

Review performance regularly: Look at trends across multiple campaigns rather than focusing on one-off results [18]. Patterns often emerge over time. For example, research shows that Tuesdays, Wednesdays, and Thursdays tend to be the most effective days for email marketing, with peak send times typically between 8–10 AM, 1–3 PM, and 7–9 PM [20].

Refine segmentation: Use demographic and behavioral data to send fewer, more targeted emails rather than bombarding your audience with frequent messages [18]. Timing strategies should account for differences in time zones, industries, or other audience-specific factors.

Evolve your tactics: Adjust both segmentation and automation practices based on your findings. For example, use data from in-app events to trigger timely campaigns or send win-back emails to re-engage inactive users [19]. Keep in mind that only 81% of commercial emails make it to the inbox [4], making precise timing even more critical. Additionally, Apple’s Mail Privacy Protection has made open rate tracking less reliable, with actual rates estimated between 17%–28% [4]. As a result, focus more on CTR and conversions as key measures of engagement.

Conclusion

Optimizing email send times isn't just a nice-to-have; it's a powerful way to increase engagement and drive better ROI. Research shows that emails sent at the right time can achieve open rates as high as 48.69% [22]. And if you're using A/B testing, you could see 37% better results compared to campaigns that skip this step [21].

The main takeaway? Know your audience, use the right tools, and keep testing. For instance, 43% of email opens happen between 6 AM and 12 PM [22], so timing really does matter. Each campaign you run provides valuable insights into your subscribers' habits, helping you fine-tune your strategy, segment your audience more effectively, and avoid overwhelming them with too many emails. With the average remote worker receiving 171 emails a week [1], standing out in a crowded inbox requires precision.

A strong optimization strategy should include segmenting your audience by behavior and demographics, tailoring send times to specific campaigns, and using automation tools to account for time zones and mobile usage patterns. These steps ensure your emails reach the right people at the right time.

If you're looking for expert help to implement these strategies, consider NXT Brand Up. They offer Done For You email marketing packages starting at $1,499 per month [23]. From design and deployment to A/B testing and optimization, they can handle every detail, acting as an extension of your team. This kind of professional support allows you to focus on running your business while ensuring your email campaigns are data-driven, effective, and always improving.

FAQs

How can I find the best time to send emails if my audience has different habits?

To determine the best time to send emails to a diverse audience, start by diving into your past campaign data. Pay close attention to open rates and click-through rates across different days and times. From there, you can use A/B testing to try out various sending times and see when your audience is most engaged.

While many businesses notice higher engagement on weekdays - particularly on Tuesday and Thursday mornings between 9:00 AM and 11:00 AM - preferences can differ depending on your audience. Tools with send-time optimization features can be a game-changer, as they adjust based on when individual recipients are most active. By relying on data and testing, you can fine-tune your email timing to get the best results.

What are the advantages of using AI tools for optimizing email send times instead of scheduling manually?

AI Tools for Optimizing Email Send Times

AI-powered tools for determining the best email send times bring several advantages over traditional manual scheduling. Using machine learning, these tools analyze recipient behavior - like when they’re most likely to open or engage with emails - and predict the optimal times to send. The outcome? Higher open rates, better click-through rates, and improved overall campaign performance, which translates to a stronger return on investment (ROI) for businesses.

Another major perk is automation. These tools handle the scheduling process for you, cutting down on time spent and minimizing the chance of human error. This frees up marketing teams to focus on what really matters: creating engaging content and fine-tuning their strategies. The result is a streamlined email marketing workflow that aligns perfectly with audience habits and preferences.

How can I track the success of my email send time optimization?

To gauge the effectiveness of your email send time strategy, keep an eye on important metrics like open rates, click-through rates (CTR), and conversion rates. Open rates tell you how many people actually opened your email, CTR reveals the percentage of recipients who clicked on links within the email, and conversion rates show how many followed through on your intended goal, such as completing a purchase.

Another smart tactic is to use A/B testing. Try sending the same email at different times to separate segments of your audience, then compare the results. This method helps you pinpoint the best times for engagement, enabling you to fine-tune your approach and make your emails as impactful as possible.

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