Finding Balance with AI

Let’s be honest, if you’re in marketing, you’re feeling the pressure to adopt AI. The buzz is everywhere and the promise is incredible: hyper-personalized content, campaigns launched at a massive scale, and data-driven decisions that promise to finally unlock a boost in engagement.

But here’s the uncomfortable catch that often gets lost in the hype, the same AI tools designed to lift your engagement can actually become the thing that sabotages your sender reputation! Implementing AI in your email strategy isn’t a simple “set it and forget it” task. It’s a lot like a tightrope walk, a constant and conscious balance between huge reward and significant risk.

Why is the risk so high? The line between genius and generic is actually incredibly thin. The same sophisticated language model that crafts a seemingly high-converting subject line can also populate your email body with phrases that trigger spam filters. It can personalize a message with so much specificity (example: “Hope you’re enjoying that blue sweater you left in your cart 43 days ago!”) that it creeps a subscriber out, prompting them to hit the ‘report spam’ button. The efficiency that allows you to create ten emails in the time it used to take to make one also paves the way to potentially alienate your audience ten times faster. And at this point, a single misstep can have a cascading effect. The ultimate risk is a potentially damaged sender reputation, which we all know is a really fragile asset to lose (and takes a lot of hard work to rebuild).

So, how do marketers navigate this without falling off the wire? The first and most important step is a mental shift. We have to reframe how we see these powerful tools. Think of AI as your new, overly eager intern who can be brilliant, fast, and never sleeps. It can generate a dozen draft variations in seconds, crunch massive datasets to identify hidden patterns, and segment lists with a precision that would take a human days. But would you let a new intern have the final sign-off on a major client campaign without oversight? Of course not! They lack context and strategic judgment. The final decision-making and calculated oversight must come from you. A human should always be in the loop, applying the brand voice, checking for appropriate tone, and confirming that the message feels authentically human (rather than off-puttingly robotic).

This “human-in-the-loop” model means your role evolves into that of an auditor before every send. This involves a few big checkpoints:

  • Spam Check: Never skip running AI-generated subject lines and copy through a dedicated spam filter checker. What sounds good to AI might read like a spam trigger to a filter.
  • The Read-Aloud Test: This is a simple, but powerful trick. Read the email out loud. Ask yourself – Does it flow naturally? Does it sound like something a real person would say in a conversation? Does it have that overly salesy “AI feel” to it?
  • Fact-Check Everything: AI models can occasionally pull incorrect information. This can lead to potentially disastrous personalization, like referencing an offer that doesn’t exist or a product feature that’s inaccurate. Verifying every dynamic element, link, and personalized claim is non-negotiable for maintaining customer trust.

Your auditing role also extends to list management. Use AI as a guide for list hygiene, not an automatic executioner. Allow it to identify disengaged segments or potentially risky addresses. But once that step has been done, you need to apply your human-led policies. Before suppressing 10,000 contacts, use that insight to launch a thoughtful, human-designed re-engagement campaign. This can preserve your list integrity and protect your reputation.

Finally, the golden rule: start small. Don’t attempt a full-scale AI revolution across all of your campaigns on day one. Choose a single segment or campaign type and run controlled A/B tests. Pit your best human-written email against the AI-assisted version. But keep in mind,  your monitoring should go beyond opens and clicks. Keep a close eye on spam complaints, unsubscribes, bounce details, and reply rates. These are your early warning signals for reputation damage.

The primary driver to your success utilizing AI is to stop thinking it as a self-governing employee and start treating it as that energetic intern. It is a force that can do the heavy lifting and generate incredible ideas. But it must be managed, guided, and repeatedly checked by a human expert. Use AI to sharpen your tools and enhance your creativity, not to replace your strategic brain. Find that balance!

The Dangers of List Fatigue (And How to Refresh It)

Email marketing is a powerful tool until your subscribers stop engaging. List fatigue occurs when your audience becomes unresponsive due to over-messaging, irrelevant content, or simply losing interest over time. Ignoring this problem can lead to serious consequences including lower engagement rates, damaged reputation, and having your email flagged as spam. The good news is that with the right strategies, you can revive your list and reconnect with inactive subscribers.

When subscribers disengage, it means more than fewer opens and clicks. It can harm your entire email program! Low engagement signals to internet service providers (ISPs) that your emails may not be valuable. This increases the chances of being sent to spam folders. Over time, this can hurt your deliverability and will make it harder for even your most engaged subscribers to see your messages. And remember, sending emails to inactive users wastes resources without providing any return on investment.

Here are some easy to follow steps that will help you refresh your email lists:

1. Clean Up Your List

Maintaining a clean email list is incredibly important for optimal performance. Start by identifying and removing inactive subscribers: those who haven’t opened an email in six months or more. It might feel counterproductive to shrink your list. But keeping disengaged contacts only drags down your metrics. Next, verify email addresses using tools like Inbox Monster’s Subscriber Insight to eliminate invalid or outdated entries. Finally, immediately remove any hard bounces (emails that no longer exist) to protect your overall sending reputation.

2. Run a Re-Engagement Campaign

Before removing inactive subscribers entirely, try to win them back with a targeted re-engagement campaign. A simple “We Miss You” email with a special offer (like a discount, complimentary resource, or exclusive content) can reignite their interest. Alternatively, ask for feedback with a short survey or a direct question like, “Do you still want to hear from us?”. For those who remain unresponsive, a final notice can prompt action and give them one last chance to stay.

3. Segment Your List for Better Targeting

Not all subscribers interact with your emails the same way. Segmentation is key to keeping them engaged. Divide your list based on engagement levels, sending different content to active users versus those who are slipping away. You can also segment by interests, using past behavior like clicked links or past purchases to personalize messaging. Demographic data (such as location age, or job role) can further refine your targeting, making sure subscribers receive content that truly resonates with them.

To avoid list fatigue in the long run, focus on sending fewer, but higher-quality emails. Test different send times and frequencies to find what works best for your audience. Most importantly, keep a close eye on key metrics like open rates, unsubscribe rates, and spam complaints. These will help you spot fatigue early and adjust your strategy before it becomes a bigger problem. List fatigue is a common challenge in marketing, but it doesn’t have to be permanent! By regularly cleaning your list, running strategic re-engagement campaigns, and leveraging segmentation, you can keep your audience active and interested. The result? Better deliverability, stronger engagement, and a healthier return on your marketing efforts.