How I Used AI to Write 30 Email Campaigns and Increased Open Rates
AI is rapidly changing how email campaigns are written, tested, and optimized. Instead of spending hours creating content manually, many marketers now rely on AI tools to improve speed and performance. In this article, I share how AI helped create 30 campaigns and improve open rates.
Problem I Faced
For years, email marketing had been a reliable channel in my digital marketing strategy. However, over time, the results began to plateau. Despite sending regular campaigns, the email open rates were inconsistent, and the engagement metrics showed a gradual decline. The audience size was growing, but performance was not improving at the same pace.
The main issue was the time required to create quality campaigns. Writing multiple variations of email subject lines, designing personalized email campaigns, and building automation flows demanded hours of manual effort. As a freelancer working with small businesses, I had to manage several accounts at once. This made it difficult to maintain consistency and quality across every campaign.
Another challenge was segmentation. Traditional email marketing relied heavily on manual audience grouping, which slowed down the entire process. The lack of advanced automation limited the ability to deliver highly relevant messages to each subscriber group.
At this point, it became clear that the existing approach to email marketing strategy was not scalable. I needed a method that could improve efficiency, increase email open rates, and reduce the time spent on repetitive tasks. This is where AI email marketing entered the picture.
Tool or AI Method I Used
To improve performance, I explored several AI marketing tools designed specifically for email automation and content creation. The goal was to find a solution that could assist with AI copywriting, campaign structure, and personalization.
I selected an AI email marketing platform that offered:
- AI-generated email subject lines
- Automated campaign creation
- Behavioral segmentation
- Smart send-time optimization
- Performance prediction features
The platform allowed me to input basic campaign details, such as the audience segment, product offer, and campaign objective. The AI then generated multiple variations of email content, including subject lines, preview text, and body copy.
One of the most valuable features was AI-driven segmentation. Instead of manually creating lists, the system grouped subscribers based on behavior, engagement history, and interests. This significantly improved the relevance of each campaign.
The AI copywriting function also played a major role. It generated several content variations tailored to different audience segments. Instead of writing each email from scratch, I only needed to edit and refine the AI suggestions.
This approach transformed the entire email marketing workflow. What previously took hours could now be completed in minutes.
What I Changed in the Emails
After implementing AI email marketing, I focused on three major improvements:
1. Smarter Email Subject Lines
The AI generated multiple subject line variations for each campaign. These were based on past performance data and engagement patterns.
Instead of guessing what might work, I tested different subject lines generated by the AI. This improved the relevance and curiosity factor, which directly impacted email open rates.
2. Personalized Email Campaigns
Previously, most campaigns were sent to broad audience groups. With AI email marketing, I shifted toward personalized email campaigns based on user behavior.
Examples included:
- Welcome emails for new subscribers
- Re-engagement emails for inactive users
- Product-specific offers for repeat buyers
The AI automatically adjusted the tone, content, and recommendations for each segment. This level of personalization would have been difficult to achieve manually.
3. Automated Campaign Sequences
Instead of one-off newsletters, I built structured email automation sequences.
These included:
- Welcome series
- Abandoned cart reminders
- Post-purchase follow-ups
- Educational email sequences
The AI helped create the entire structure of these flows. It suggested the timing, messaging, and number of emails in each sequence. This improved consistency and made the overall marketing automation process more efficient.
Results or Observations
After implementing AI email marketing across 30 campaigns, the results were noticeable within a few weeks.
1. Higher Email Open Rates
The most immediate improvement was in email open rates. The AI-generated subject lines consistently outperformed the manually written ones.
Average open rates increased by approximately 18–25% across different campaigns. Some highly targeted segments saw even greater improvements.
2. Faster Campaign Production
The time required to create campaigns dropped significantly.
Before AI:
- 1 campaign: 2–3 hours of writing and editing
After AI:
- 1 campaign: 20–30 minutes of review and adjustments
This allowed me to produce more campaigns without sacrificing quality.
3. Better Engagement
Personalized email campaigns led to higher click-through rates and improved subscriber interaction. Because the content was more relevant, users were more likely to engage with the emails.
4. Scalable Email Marketing Strategy
AI Email marketing Strategy Made it easier to handle multiple clients at once. The automation reduced manual work and ensured consistent performance across accounts.
For small businesses, this approach was especially valuable. Many of them lacked the resources to hire large marketing teams. AI for small business marketing provided a practical way to run professional campaigns with limited time and budget.
Key Takeaways
After using AI email marketing to create 30 campaigns, several important lessons became clear.
1. AI Improves Speed and Efficiency
AI marketing tools dramatically reduce the time needed for campaign creation. Tasks like writing email copy, building segments, and scheduling campaigns can be automated.
2. Personalization Drives Better Results
Generic campaigns no longer perform well. Personalized email campaigns based on behavior and interests consistently produce higher engagement.
3. Subject Lines Matter More Than Ever
Small changes in email subject lines can have a major impact on email open rates. AI helps generate multiple high-quality options that can be tested quickly.
4. Automation Creates Consistency
Email automation ensures that subscribers receive the right message at the right time. This improves the overall email marketing strategy and strengthens customer relationships.
5. AI Is a Practical Tool for Small Businesses
AI for small business marketing is not just a trend. It is a practical solution that helps smaller teams compete with larger companies by improving efficiency and results.
Final Thoughts
AI email marketing is changing the way campaigns are created and managed. Instead of relying solely on manual writing and guesswork, marketers can now use AI copywriting and automation to build smarter, more effective campaigns.
By combining AI marketing tools, personalized email campaigns, and structured email automation, it is possible to improve email open rates while reducing workload. The experience of creating 30 campaigns with AI showed that even small changes in process can produce meaningful improvements.
For anyone struggling with time, consistency, or engagement, AI email marketing offers a practical path forward. It does not replace strategy or creativity, but it enhances both. When used correctly, it becomes a powerful part of any modern email marketing strategy.
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