How to Use AI in Email Strategy

I've spent 12 months building AI email marketing systems at Impact Theory. Here's how we reduced our marketing team head count by 75%, with 3x the results. What did we learn? We cut our marketing team from 4 people to 1. We increased output by 300% with better quality. We turned email marketing into a predictable system that can almost run without me. Most people get AI copywriting completely wrong. They ask for "good copy" and wonder why it sounds generic. They one-shot prompts without any context. They treat AI like a magic content machine instead of a junior writer who needs direction. Those who are getting insane results with AI copy take a different approach. I use what I call the "Voice Cloning System": Step 1: The Voice Training Upload 100+ hours of coaching call transcripts. This teaches AI your exact frameworks, language patterns, and how you explain complex ideas. Step 2: The Specialist GPTs Build separate GPTs for weekly newsletters, bite-sized value emails, and email sequences. Each one knows its specific job and audience. Step 3: The Framework Extraction Prompt: "Analyze these coaching transcripts. Extract my top 10 frameworks and how I typically explain them. Turn these into high-value frameworks." Step 4: The First Draft Generator Prompt: "Write a weekly newsletter about [topic] using my voice and the [framework from step 3]. Keep it conversational but authoritative." Step 5: The Human Polish Don’t skip this! AI gives you the 80% draft. You finesse the final 20% that makes it unmistakably yours and converts like crazy. The nuclear question: "What would make this email sound exactly like me teaching this concept on a coaching call?" This system saves us 20 hours a week and creates emails with a higher ROI than our old team ever achieved. In a world where everyone's emails sound like AI wrote them, the advantage goes to those who train AI to sound exactly like them. Most people use AI as a replacement writer. Be the one who uses it as a junior copywriter who knows your voice better than most humans. AI just changed what’s possible. See if your idea is ready to launch in minutes with my Zero to Launch GPT: https://buff.ly/lYxdOHG

Here's a Clay generated AI sentence that 3x'd our positive response rates for a SaaS company selling to a very niche industry. We started sending this line in email 2 as a follow up but it was working so well we moved it into email 1 and it performed even better. All we did was use AI to create a comparison between what the company we were reaching out to does and how my customer helps people. So basically each line would look something like Hey {{First_name}}, I was on the site and saw how you help people save time with {{X}} like how we can help you save time with {{Y}} so I wanted to get connected. X in this case outlines how the company helps their customers and Y talks about how we can help them. The way we create the line is we use Clay and train a prompt on how we can help a company. Every company comes down to 5 main offers. Help people save time, save money, make more money, live longer, or increase their social status. For B2B, we are mainly concerned with the first 3 so we train the AI on how our company or our customer's company helps people in those 3 ways. So when AI evaluates that company, we can write a line about how we both help people save time or we both help people make more money etc. Then we manually write lines to train the AI on how we can specifically help them. This is the most crucial part of the line. The beginning is just a parlor trick but this part will really stick out our relevance to their company. We want to train AI to be able to apply what we do as a company to the sentence but we have to do it manually so that it gets as specific as we are looking for. This workflow has been in the campaign in email 1 for 6 months and nothing else has beaten it. Although, I think this workflow works well in this context because we aren't targeting people that get a ton of cold email usually so perhaps it's a tactic they haven't seen before. No reason it wouldn't work on Founders I don't think, I just can't say that we've done it and want to make sure I mention that. Just to give transparency if you want to try it yourself.

80% of people prefer to buy from brands that personalize. Yet most businesses still send generic campaigns. Here’s how I use AI to change that 👇 Step 1: Build Your Data Foundation → Consolidate customer data from all sources → Clean and structure your data → Create unified customer profiles → Map customer journeys Step 2: Choose the Right AI Tools → Start with predictive analytics → Add dynamic content generation → Implement real-time personalization engines → Focus on tools that integrate with your stack Step 3: Create Personalization Frameworks → Segment audiences by behavior → Design content templates → Set up trigger-based workflows → Define success metrics Real examples that work: 1/ E-commerce: → AI analyzes browsing patterns → Predicts next likely purchase → Personalizes email timing ↳ Result: 40% higher conversion rates 2/ B2B Marketing: → AI scores leads in real-time → Customizes content by industry → Automates follow-up timing ↳ Result: 3x faster sales cycles 3/ Content Marketing: → AI suggests trending topics → Personalizes content recommendations → Optimizes posting schedules ↳ Result: 2x engagement rates Warning: Avoid these common mistakes: → Implementing AI without clean data → Focusing on tools over strategy → Forgetting the human element → Ignoring privacy concerns Remember: AI amplifies your marketing. It doesn't replace your strategy. Start small, measure results, scale what works. What's your biggest challenge with marketing personalization? Comment below. Sign up for my newsletter for more marketing and AI content: https://lnkd.in/gSi-nA2F Repost or follow Carolyn Healey for more like this.

I sat down with Lea Algazy, Head of Partnerships at Rep AI, to break down how combining Rep AI and Mailability.io is unlocking 50%+ of total store revenue through email with Klaviyo. The secret? Using Conversational AI data + real-time intent scoring to move beyond static email journeys. Here’s the 3-step strategy powering it: Step 1: Turn live conversations into data-backed email journeys - Rep AI’s chatbot collects emails through natural, high-intent on-site interactions. - Those subscribers are synced directly to Klaviyo, enriched with context and preferences. - Mailability.io applies a real-time Intent Score to each profile the moment they enter your system. Step 2: Score and segment based on real behavior - Every profile is scored individually, not just tagged - That allows brands to: • Re-engage shoppers who chatted in the past but didn’t convert • Identify moderate-intent profiles and warm them up • Pinpoint hyper-engaged users who just need one more nudge to buy - Profiles move in and out of Mailability’s AI segments and AI flows automatically, based on real-time behavior. Step 3: Personalize flows and campaigns at scale - Use the combination of Rep AI’s 500+ chat data points and Mailability’s Intent Scores and smart actions to send the right message, to the right message, at the right time, on autopilot. - Brands are using this to: • Warm up cold profiles and bring them into high-performing AI campaign lists and flows • Increase site activity by 71.5% by sending the right message at the right time • Trigger on-site engagement when high-intent users return, without missing the moment to increase email revenue by 32% It’s not about blasting more emails. It’s about aligning signals across your tech stack and letting real-time behavior guide every send. The full breakdown is in the slides. Curious how this might look inside your Klaviyo account? Let’s connect? https://lnkd.in/dCdwyQ2d

Personalization Isn’t the Answer—It’s the Starting Point For years, we’ve been told that personalization is the secret sauce to successful email marketing. But here’s the hard truth: Personalization alone doesn’t cut it anymore. If you’re still treating it as the endgame, you’re missing the mark. In my recent conversation with Sofiia Shvets, we explored how AI is not just enhancing personalization but completely revolutionizing how we engage with customers. Here’s what we’re doing to push beyond the basics: 1️⃣ Automated Segmentation: AI goes beyond personalization by dynamically creating and updating audience segments, ensuring we’re always targeting the most relevant customers with exactly what they need. 2️⃣ Hyper-Personalized Text: AI helps us craft messages that don’t just insert a name—they speak directly to each customer’s unique journey, making every interaction feel personal and timely. 3️⃣ Intelligent Graphics & Product Recommendations: AI doesn’t just generate visuals; it strategically selects the products that should be featured, driving higher engagement and conversions. 4️⃣ Advanced Cross-Selling & Promotions: By leveraging AI, we’re not just suggesting products—we’re predicting and delivering the offers that are most likely to resonate with each customer. AI is moving us beyond the old playbook, allowing us to create dynamic, deeply personalized experiences at scale. But this is just the beginning. Here are a few cutting-edge ways AI can take your email marketing to the next level: → Real-time Behavior Analysis: Adapt email content on the fly based on customer interactions. → Predictive Analytics: Anticipate customer needs and preferences, driving proactive engagement. → A/B Testing at Scale: Use AI to optimize content and visuals across massive audiences efficiently. → Content Optimization: Continuously refine and enhance email content to maximize impact. → Advanced UTM Targeting: Tailor email experiences based on traffic sources for greater relevance. We’re just scratching the surface of what’s possible with AI and email. Fun times ahead!