Info
InfoCategory : Web Development
Date : 10 Apr, 2025
Client : John Rolls
Introduction
IntroductionAs companies become increasingly dependent on email communication to reach customers and achieve growth, guaranteeing that the emails end up in the target inboxes is a big issue. Spam blockers, low rates of engagement, and poor reputation as a sender usually ensure companies do not deliver as much as they could. This case study examines how MailOptimal employs sophisticated email deliverability tactics to overcome these barriers, enabling companies to increase inbox placement, engage more, and simplify communication.
Client Requirements
Client RequirementsCompanies nowadays are struggling with email deliverability, such as emails being delivered to spam folders, bad sender reputations, and complicated technical configurations. These problems can result in lower engagement rates and even revenue loss. Client needed a trustworthy solution that not only detects and fixes deliverability problems but also actively improves their email-sending reputation.
MailOptimal provides a set of features aimed at solving and enhancing email deliverability:
MailOptimal provides a set of features aimed at solving and enhancing email deliverability:
Advanced Email Warmup
01Applies an AI-based algorithm to continuously ramp up the sending volumes of emails, to build a healthy sender reputation.
Custom Warmup Templates
02Enables users to design custom warmup sequences aligned with their specific email content and audience.
Multiple Warmup Modes
03Provides flexibility with a variety of different warmup tactics appropriate for distinct types of email accounts and commercial requirements.
Inbox Placement Insights
04Gives in-depth reporting on where emails are being placed (inbox, spam, etc.), allowing users to reposition strategies accordingly.
Blacklist Monitoring
05Regularly scans and notifies users if their domain or IP is on any email blacklists, allowing quick corrective measures.
Domain Health Checks
06Checks important DNS records and other domain settings to guarantee best practices for email setup and performance.
Results:
Results:Challenges:
Understanding Target Audience
- High Spam Rates: A high percentage of emails getting marked as spam, lowering reach and engagement.
- Poor Sender Reputation: Owing to irregular sending behaviour and failure to warm up, resulting in lower trust from email service providers.
- Technical Complexities: Challenges in the initial setup and maintenance of critical DNS records and knowledge of blacklist consequences.
How we Resolved :
- High Spam Rates: A high percentage of emails getting marked as spam, lowering reach and engagement.
- Poor Sender Reputation: Owing to irregular sending behaviour and failure to warm up, resulting in lower trust from email service providers.
- Technical Complexities: Challenges in the initial setup and maintenance of critical DNS records and knowledge of blacklist consequences.
Project Approach and Results
How we Resolved :
- Assessment: Utilized MailOptimal’s diagnosis features to monitor current email deliverability status and detect present problems.
- Implementation: Set up advanced warmup procedures, custom template settings, and chose correct warmup modes appropriate for business purposes.
- Monitoring and Optimization: Daily checked inbox placement reports and blacklist statuses, adapting as required for improved performance.
How to do App Promotion
- Assessment: Utilized MailOptimal’s diagnosis features to monitor current email deliverability status and detect present problems.
- Implementation: Set up advanced warmup procedures, custom template settings, and chose correct warmup modes appropriate for business purposes.
- Monitoring and Optimization: Daily checked inbox placement reports and blacklist statuses, adapting as required for improved performance.
Result:
Result:
Technology Stack
Technology StackTechnology we used
React.JS
Nest.JS
PostgreSQL