
With the current competitive digital landscape, email delivery is key to the success of small as well as large businesses. Transactional email such as reminders for password reset, order status update, and shipping update is all essential in delivering an exceptional customer experience. Postmark is currently among the top transactional email services that are fast, reliable, and deliverability-driven. But in order to be able to tap the potential of Postmark, businesses should be well aware of postmark email analysis. Supaboard.ai offers a good way of retrieving Postmark data and transforming it into executable intelligence with AI analytics. This article is about how businesses are able to leverage Supaboard.ai in order to be able to tap the potential of Postmark data and achieve significant improvement in email campaign.

Sriyanshu Mishra
Data Analyst
5 mins
Why Postmark is the Gold Standard for Transactional Email
Postmark is the platform of choice for transactional email because it has a laser-like concentration on deliverability and speed. Below are some reasons why it's used so extensively:
Lightning-Fast Delivery: Postmark is designed for speed, and what that means is that transactional emails end up in recipients' mailboxes promptly.
Improved Deliverability: Postmark's deliverability focus allows businesses to bypass spam filters and deliver their emails to the inboxes of the recipients they're addressed to.
Developer Friendly APIs: Postmark offers a full range of APIs for sending, tracking, and keeping transactional email, allowing developers to embed email functionality into their application.
Deep Analysis: Postmark also provides deep analysis of email performance based on delivery rates, open rates, click-through rates, bounce rates, and spam complaints.
Timely Support: Postmark is also known to offer timely customer support.
All these features make Postmark a suitable option for businesses sending transactional emails to consumers.
Supaboard.ai: Leveraging Postmark Data to Drive Actionable Insights
Where Postmark's native analytics are handy, Supaboard.ai enables your business to get the most out of their data analysis. These are the ways Supaboard.ai unleashes the potential of Postmark data:
API Integration: Supaboard.ai connects with your Postmark account via API (always follow Postmark API usage guidelines and limits). It loads structured data such as email deliverability events (sent, delivered, opened, clicked, bounced, marked as spam), server and sender signature data, and tag data.
Data Transformation: The system cleanses, normalizes, and transforms the data retrieved from Postmark to ensure consistency and accuracy for analysis. It processes various types of data and nested email formats.
AI-Powered Analytics: Supaboard's AI Analyst inspects the transformed data to find patterns, anomalies, and trends that may go unnoticed by traditional reporting methods in the Postmark universe.
Unlocking Insights in Postmark Data with Supaboard's AI Analyst
Supaboard's AI Analyst can uncover hidden insights into your Postmark data:
Deliverability Optimization: Detect potential deliverability issues via bounce rates, spam complaints, and other metrics. Supaboard can automatically detect suspicious sending behavior, find offending content, and suggest mitigation.
Response Time Optimization: Break down delivery time of transactional emails from sent to opened to clicked to identify where there are delays and optimize sending infrastructure. Alert on delivery delay and abnormal behavior.
Subscriber Engagement Analysis: Identify your most active subscribers who open and engage with your transactional email and propose individualized experiences to improve engagement and loyalty. Track user activity after they click on links in transactional email.
Anomaly Detection: Automatically identify unusual email delivery trends, like unexpected spikes in the bounce rate or spam complaint levels. Alert you to potential security or technical issues.
Tag Performance Analysis: Compare various email tags to figure out which type of transactional email performs well. Fine-tune your email strategy with insights driven by data.
Real-Life Case Studies: Illustrating the Value of Transactional Email Data (General Email Delivery, Not Postmark-Specific Guaranteed)
Even though the following case studies do not include Supaboard.ai or Postmark scrapping, they demonstrate the benefit in considering transactional e-mail information. Postmark is made to provide this quality, measurable data.
SparkPost (Another Transactional Email Service) User Story: SparkPost employs a variety of case studies to show how looking forward to consider e-mail information results in improved performance.
Mailjet (Another Transactional Email Service) Example: MailJet provides customer testimonials on its website of customers who have been successful with its email analysis.
E-commerce Platform Decreases Abandoned Carts Using Email Optimization (Illustrative): One of the mid-size e-commerce sites looked at their abandoned cart email metrics and discovered that technical problems at checkout were causing most of their abandoned carts. By resolving those technical issues, they were able to reduce abandoned carts by 12% and reclaim sizeable revenue.
Conclusion: Unlock the Full Potential of Your Postmark Data with Supaboard.ai
Postmark provides you with a solid foundation to send transactional emails. Supaboard.ai extends this foundation to a new level of functionality with better data export and AI-driven analytics capabilities.
Optimize your transactional email deliverability and deliver your messages to the inbox
Improve customer experience and brand loyalty
Minimize technical issues and avoid revenue loss
Make data-driven decisions with confidence
Guard your brand reputation
Don't waste your valuable Postmark data. Discover how Supaboard.ai can make your email data a strategic asset. Start unleashing the potential of your Postmark data and expand your business. Merging Supaboard's AI insights with your Postmark data forms highly valuable knowledge, improving customer communication and protecting your reputation. Always use Postmark's API rules appropriately while scraping data.