FAQ

Question 1

What are the differences between domain-level and subdomain-level authentications in email systems?

Accepted Answer

Domain-Level Authentication: This type of authentication is applied to the entire domain. It means that any email sent from any subdomain of the main domain will inherit the same authentication records. Domain-level authentication is crucial for establishing the legitimacy and trustworthiness of the domain as a sender.

The key elements include:

Sender Policy Framework (SPF): This verifies that the sending server has permission to send emails on behalf of your domain.
DomainKeys Identified Mail (DKIM): This provides a digital signature that validates the authenticity of the email content.
Domain-based Message Authentication, Reporting, and Conformance (DMARC): This policy tells email receivers what to do if an email doesn’t pass SPF or DKIM checks.

Subdomain-Level Authentication: Subdomain-level authentication allows for different settings for each subdomain. This is useful when different departments or functions in an organization use different email-sending services or require different email policies.

For instance, marketing@subdomain.yourdomain.com and support@subdomain.yourdomain.com can have different SPF, DKIM, and DMARC settings if they are using different email platforms or have different email-sending behaviors.

Key Differences:

Scope of Application: Domain-level authentication applies universally across the main domain and all its subdomains, whereas subdomain-level authentication allows for distinct settings for each subdomain.
Flexibility: Subdomain-level authentication offers more flexibility, allowing different parts of an organization to manage their email strategies independently.
Complexity: Managing authentication at the subdomain level can be more complex as it requires maintaining multiple SPF, DKIM, and DMARC records for each subdomain.
Use Case Specificity: Subdomain-level authentication is particularly beneficial in large organizations or those with diverse email-sending needs across different departments or functions.

In practice, a combination of both domain-level and subdomain-level authentication may be used to balance the broad trustworthiness of the domain with the specific needs of different subdomains.

It’s crucial to properly configure these settings to ensure email deliverability and to maintain a strong sender reputation.

Question 2

Is it okay to use automated tools for email warm-ups? What should be considered?

Accepted Answer

Using automated tools for email warm-ups is generally acceptable and can be quite beneficial, but there are important considerations to keep in mind:

Advantages of Automated Tools for Email Warm-Ups

Gradual Increase in Volume: Automated tools can methodically increase email volume over time, which is crucial in building a domain’s reputation without triggering spam filters.
Consistency: They maintain a consistent sending pattern, which is vital for establishing reliability with email service providers (ESPs).
Time Efficiency: Automation saves time and resources compared to manual warm-up processes.

Considerations and Best Practices

Start Slowly: Begin with a low volume of emails and gradually increase. This mimics natural sending behavior and avoids raising red flags with ESPs.
Quality of Content: Ensure the content of your warm-up emails is engaging and relevant. Engagement (like opens and replies) positively impacts your sender’s reputation.
Recipient Engagement: Target recipients who are likely to engage with your emails. High engagement rates signal to ESPs that your emails are valuable and not spam.
Monitor Metrics: Pay close attention to open rates, click-through rates, bounce rates, and spam reports. These metrics will guide your warm-up process and indicate if adjustments are needed.
Avoid Spam Triggers: Be mindful of using language or content that could be marked as spam. This includes avoiding overly salesy language, excessive links, or deceptive subject lines.
Segmentation and Personalization: Use data to segment your audience and personalize emails. This increases the likelihood of engagement, which is crucial during the warm-up phase.
Compliance with Email Standards: Ensure that your emails comply with SPF, DKIM, and DMARC standards to improve deliverability.
Feedback Loops: Set up feedback loops with major ESPs to get notified if your emails are marked as spam. This allows you to take corrective actions quickly.

Potential Risks

Over-Automation: If the warm-up process seems unnatural or too aggressive, it might lead to being flagged as spam.

Lack of Human Oversight: Relying solely on automation without regular monitoring can lead to missed opportunities for optimization or correction of issues.

Question 3

Can you list keywords that are often flagged as spam by email providers?

Accepted Answer

While specific keywords can vary depending on the context and how they’re used, there are some common terms that tend to raise red flags with email providers.

Here’s a list of such keywords, categorized for clarity:

Sales and Promotional Keywords

Free: Especially when used in phrases like “Free offer” or “Free access”.
Guarantee: Such as “Money-back guarantee” or “Guaranteed success.”
No Risk/No Obligation: Can be perceived as high-pressure sales tactics.
Exclusive Deal: Overuse can seem spammy.
Save $/Discount: Especially with specific monetary amounts or high percentages.

Urgency and Exaggeration Keywords

Act Now/Don’t Miss Out: Creates a false sense of urgency.
Limited Time Offer: Can be overused in sales contexts.
Once in a Lifetime: Over-exaggeration can trigger spam filters.
Hurry: Implies unwarranted urgency.

Financial Keywords

Make Money: Often associated with scams.
Pre-approved: Common in unsolicited credit offers.
Lowest Price: Overused in marketing emails.
Income: Such as “Extra income” or “Additional income.”

Other Common Triggers

Winner: As in “You’re a Winner!” or “Congratulations”.
Risk-Free: Similar to “No risk.”
Miracle: Often used in dubious health claims.
Buy Now: Direct call to action that’s overused in sales.

Tips for Email Content

Context Matters: How these words are used in the overall content can affect whether an email is marked as spam.
Personalization and Relevance: Personalized emails that provide relevant content to the recipient are less likely to be flagged.
Balance: Use promotional language carefully and in balance with informative content.
Testing: Use A/B testing to see how different wordings affect your email deliverability.

It’s important to remember that spam filters continually evolve, and their criteria can change.

Therefore, staying updated on best practices in email marketing and regularly reviewing the performance of your email campaigns is crucial. The use of these keywords doesn’t guarantee an email will be flagged as spam, but excessive or inappropriate use increases the risk.

Question 4

How can one prevent emails from being directed to the advertisement or promotion folders instead of the inbox?

Accepted Answer

To prevent emails from being directed to the advertisement or promotion folders and instead land in the primary inbox, consider the following strategies.

Content Considerations:

Avoid Overly Promotional Language: Limit the use of sales-oriented phrases and keywords that are commonly associated with spam or promotional content.
Image to Text Ratio: Use a balanced approach to the number of images versus text. Too many images with minimal text can trigger filters.
Informative Content: Provide value through informative, engaging content rather than just promotional messages.

Encourage Adding Email to the Trusted Sender List:

Prompt Users at Sign-Up: Encourage new subscribers to add your email address to their contacts or trusted sender list. This significantly increases the chances of your emails landing in the inbox.
Instructions in Welcome Email: Include instructions on how to whitelist your email address in the initial welcome email.

Subscriber Engagement:

Monitor Engagement: Keep an eye on how subscribers interact with your emails. If they frequently open and click on your emails, email providers are more likely to route your emails to the inbox.
Re-engagement Campaigns: For subscribers who haven’t engaged in a while, send targeted re-engagement emails to encourage interaction.

Personalization:

Tailored Content: Use data to personalize emails, making them more relevant and engaging to each subscriber.
Segmentation: Segment your email list based on user behavior, preferences, or demographics to ensure content relevance.

Testing and Optimization:

A/B Testing: Regularly test different elements of your emails (like subject lines, content, layout) to see what works best in avoiding the promotions tab.
Feedback Loops: Set up feedback loops with major ISPs to understand if your emails are being marked as spam.

Technical Aspects:

Authenticate Emails: Ensure your emails are authenticated using SPF, DKIM, and DMARC protocols.
Consistent Sending Patterns: Maintain consistency in your email sending volume and frequency to avoid triggering spam filters.

Avoid Spam Traps:

Regular List Cleaning: Remove inactive subscribers and invalid email addresses to avoid spam traps and improve deliverability.

Question 5

Which AI assistant platform are you using?

Accepted Answer

We are using OpenAI’s Assistants API. This innovative platform allows us to build customized AI assistants within our applications, leveraging various models and tools to respond effectively to user queries.

The key features we’re utilizing include:

Code Interpreter: For executing code-based queries and responses.
Retrieval: To access a broad range of information and data.
Function Calling: Enabling the execution of specific functions within our applications.

This platform is instrumental in enhancing our webinar’s interactivity and responsiveness, ensuring we provide the most relevant and updated information to our attendees.

Question 6

Can AI be used to diagnose email quality, suggest improvements, and offer solutions before sending an email?

Accepted Answer

Yes, AI can be used to diagnose email quality, suggest improvements, and offer solutions before sending an email. The integration of AI in email marketing has become increasingly sophisticated, providing valuable insights and enhancements to email campaigns.

Here’s how AI can be instrumental in this context:

Diagnosing Email Quality:

Spam Score Analysis: AI algorithms can analyze the content of an email and predict the likelihood of it being marked as spam, helping to avoid spam filters.
Readability Assessment: AI tools can evaluate the readability of your email content, suggesting language simplification or formatting changes if necessary.
Subject Line Effectiveness: AI can analyze and score subject lines based on factors like engagement potential, clarity, and length.

Suggesting Improvements:

Content Optimization: AI can suggest alterations in the wording or structure of the email content to enhance clarity, engagement, and conversion potential.
Personalization Recommendations: Based on subscriber data, AI can propose personalization strategies for different segments of your email list.
Visual and Layout Suggestions: AI tools can analyze and suggest improvements in the email’s visual appeal and layout for better engagement.

Offering Solutions:

A/B Testing Predictions: AI can predict the outcome of different email versions, helping to determine the most effective version before sending it to the entire list.
Timing and Frequency Optimization: AI can recommend the best times and frequencies for sending emails to different segments based on historical engagement data.
Automated Content Creation: Some AI tools can generate draft content for emails based on the intended message and target audience.

Integrating with Email Platforms:

Compatibility with ESPs: Many email service providers (ESPs) now integrate AI tools directly into their platforms, offering these features as part of their service.
Custom AI Solutions: For more advanced needs, custom AI solutions can be developed that are tailored specifically to the nuances of a company’s email marketing strategies.

The use of AI in diagnosing, suggesting improvements, and offering solutions in email marketing not only enhances the effectiveness of campaigns but also significantly saves time and resources.

As AI technology continues to evolve, its role in optimizing email marketing strategies is set to become even more prominent.

Advanced Email Marketing: AI-Driven Strategies & Flawless Deliverability

About the Email Marketing Webinar

Why Settle for Ordinary When Emails Can Be Extraordinary

What You Will Learn

Webinar Agenda

AI-Powered Email Strategies: Content to Deliverability

Personalization & Analytics: Tailoring Journeys, Tracking Success

Q&A Session

Meet our Speaker

How Will I Benefit?

After the Webinar

Frequently Asked Questions