Latest / The Email Marketing Podcast with Fexingo: Newsletters, Open Rates, and Subscriber Growth / How Email Deliverability Survives AI Spam Filters
Transcript
- Lucas: Look at the inbox landscape right now, specifically as we settle into this third quarter of two thousand twenty six. The rules have shifted under our feet because the filters aren't just looking for spam keywords anymore. They are using machine learning models to predict whether a human actually wants to read your message before it even hits the primary tab. Luna: So it is less about dodging blacklists and more about proving you are a known quantity? I mean, does the algorithm care if you sent the email or if you are just a noise generator? Lucas: Exactly. And that is why the old playbooks are dying. You used to think you could bulk send a newsletter, hope for the best, and fix issues with a d m a r c record update later. Now, the providers like Google and Yahoo are weighting user behavior heavily. If you send five thousand emails and only one person opens them, the system assumes you are spam and punishes your entire domain for weeks. Luna: That sounds brutal. So if you have a large list but low engagement, you get buried? Lucas: You get quarantined. And here is the concrete detail most marketers miss. It is not just about open rates. It is about dwell time and reply depth. An email that gets opened but deleted instantly counts against you. But an email that gets dragged to the bottom, or replied to, sends a massive positive signal. It tells the algorithm that this conversation matters. Luna: So dragging an email to the bottom is good? That seems counterintuitive to UX design. Lucas: It is terrible for design, but great for deliverability. Think of it as active participation. When a user interacts with your email in any way beyond a simple click, they are vouching for you. The algorithm sees that interaction as proof of relevance. So the goal shifts from getting the click to creating enough value that the user feels compelled to engage, even if that means moving the email around their interface. Luna: I guess that explains why my newsletters with long-form stories sometimes outperform the punchy ones. People take their time reading them. Lucas: Precisely. And that brings us to a specific case study that has been circulating among senior directors this month. A mid-sized b to b SaaS company recently reported an eighteen percent drop in their bounce rate and a twenty-two percent increase in primary inbox placement. They didn't change their copy. They didn't buy a bigger list. They changed how they handled unverified addresses during onboarding. Luna: Wait, they removed people? How does removing subscribers help your overall metrics? Lucas: It sounds backwards, but hear me out. This company started implementing a double-opt-in process that required a quick micro-interaction within the first hour of signup. Not just clicking a link, but confirming a preference. Those who didn't confirm were automatically suppressed from the main blast. By trimming the dead weight immediately, their initial engagement spike was much higher. The algorithm saw a burst of high-quality interactions and rewarded the domain with better trust scores. Luna: So it is about velocity of quality, not just volume. You proved you are worth trusting right away. Lucas: Right. And here is where it gets tricky for the average marketer. Most tools still push you toward single-click opt-ins because conversion rates look better on the dashboard. But those extra signups are often bots or inactive users who will never engage. By filtering them out upfront, you sacrifice vanity metrics for actual revenue-generating traffic. It is a classic trade-off between short-term ego and long-term health. Luna: I can see why leadership would resist that. Cutting the subscriber count looks bad in a monthly report unless you explain the nuance. Lucas: Exactly. And that is why I am bringing this up today. Because the next layer of complexity is ai driven content detection. The filters are now scanning the body of your email for patterns that resemble generated text. If your email looks too polished, too generic, or uses certain transitional phrases repeatedly, it gets flagged. The algorithm is trying to distinguish between human intent and automated spam blasts. Luna: So writing naturally is a deliverability hack now? Just avoid sounding like a robot? Lucas: It is more than that. It is about structural variability. Spam filters look for consistency in sentence length, punctuation usage, and vocabulary richness. If every email you send follows the exact same template structure, you trigger a pattern match. The solution is to introduce controlled chaos. Vary your subject line lengths. Mix up your paragraph structures. Even changing the color of your call to action button randomly can help, though that is a bit extreme for most brands. Luna: I feel like most marketing teams are terrified of breaking their brand guidelines, so they stick to rigid templates. Lucas: They are. And that rigidity is costing them money. I spoke with a creative director last week who told me they reduced their template variables from twelve to four to make production easier. He had no idea that this simplification was making his emails look suspicious to the algorithm. The more uniform your output, the more likely it is to be categorized as mass mail. You need to show some human fingerprints in the code and the content. Luna: So maybe we should encourage writers to leave in a typo or two? Or just vary their tone? Lucas: Not typos, but tonal variance. If your brand voice is usually professional, try injecting a personal anecdote once a month. If you are always casual, try a data-heavy breakdown. These shifts disrupt the pattern recognition engines. It forces the filter to re-evaluate each email as a unique piece of communication rather than a copy-paste job. It is subtle, but over hundreds of sends, it adds up to significant trust gains. Luna: This makes me think about the role of reply chains. If someone replies to your email, does that boost the whole thread? Lucas: It boosts the domain reputation significantly. Replies are the strongest signal of legitimacy available. That is why asking for a reply in your calls to action is such a powerful tactic. Instead of telling people to click a link, which can be done by bots, ask them to hit reply with a question. Even a simple 'yes' works. It creates a two-way street that proves human presence. Luna: I love that. It turns a broadcast into a conversation. And conversations are hard to automate at scale without sounding fake. Lucas: Exactly. And speaking of automation, let's touch on the tools many of us rely on. There is a growing movement away from aggressive warm-up services. These tools send dummy emails to thousands of other inboxes to simulate activity. But providers are catching on. If your IP address is constantly interacting with other IPs in a synthetic network, you might get flagged for collusion. It is an arms race between warm-up tech and detection algorithms. Luna: So relying on synthetic engagement is risky? What is the alternative if you are a new domain? Lucas: The alternative is slow, organic growth. Send small batches to your most engaged users first. Let them open, click, and reply. Then gradually increase volume based on their behavior. It takes longer, but the foundation is solid. You are building reputation through real human actions, not simulated ones. In the current market environment, patience is a competitive advantage because everyone else is trying to game the system and getting penalized. Luna: Patience is definitely not a virtue in our industry. We want growth yesterday. Lucas: We do. But sustainable growth beats explosive failure. Every day. If you build a house on sand, it collapses when the tide comes in. If you build it on rock, it stands. Your sender reputation is that rock. And the rock is built one genuine interaction at a time. Luna: That is a beautiful metaphor. Though I worry about clients who expect overnight results. Lucas: They do. And that is why education is part of our job. We have to manage expectations while delivering results. Which brings me to something I want to share with you all, especially if these conversations about marketing strategy and operational efficiency have helped you refine your own workflows. Luna: Yeah, we know the drill. Support keeps the lights on and the ads off. Lucas: It really does. If you find value in these deep dives into how the machinery works, consider supporting us directly. It helps us keep producing ad-free content that respects your time and intelligence. You can find us at buy me a coffee dot com slash fexingo. No pressure at all, just if you want to help us continue exploring these topics. Luna: Thanks for listening, and thanks for supporting independent analysis. Lucas: Let's go back to the technical side for a moment. One final thing on authentication. Many people think setting up d m a r c is a set-it-and-forget-it task. But policies are evolving. You might start in monitoring mode, which tracks failures but doesn't block anything. Then you move to quarantine, which sends failures to spam folders. Finally, reject, which blocks them entirely. Luna: So you have to migrate through stages? Why not just jump to reject immediately? Lucas: Because if you have legitimate emails that are failing due to misconfigurations, rejecting them means losing sales. You need to monitor first to catch those errors. Once you are confident everything is working, then you tighten the screws. It is a gradual process of hardening your defenses. It protects your domain from being spoofed by bad actors who want to damage your reputation. Luna: So it is about protecting the asset, not just sending mail. The domain is the asset. Lucas: Absolutely. Your domain is your digital identity. Treat it with the same care you would treat your physical office security. Lock the doors, check the windows, and don't let strangers wander in. In the email world, that means rigorous authentication and consistent engagement. Luna: I think that is a solid takeaway. Protect the asset, earn the trust, grow slowly. Lucas: Exactly. And as we look ahead to the rest of the year, I wonder if we will see more providers adopting these stricter engagement-based filters. It seems inevitable given the rise of generative AI spam. Luna: If spammers use AI, we have to use better human-centric strategies to fight back. It is an evolutionary arms race. Lucas: An evolutionary arms race. I like that framing. It reminds us that adaptation is constant. The winners won't be the ones with the biggest lists, but the ones with the most trusted relationships. Luna: Relationships over numbers. That is a lesson worth remembering every time we draft a campaign. Lucas: Well said. Let's see how this plays out in the next few quarters. Until then, keep your lists clean and your voices authentic.