AI Strategies For Marketing Automation

Still sending manual emails to your customers? Here’s how we automated the entire email marketing funnel for our client. Most large enterprises have already embraced AI to track SKUs, forecast hiring, and optimise financial decisions. But when it comes to marketing? They’re still stuck with batch-and-blast emails… generic content, poor timing, zero personalisation. AI is improving how companies work but not yet how they connect with customers. Recently, we helped a retail client move from batch emails to AI-driven journeys using Salesforce Marketing Cloud. 📍We mapped customer data across touchpoints to build unified audience profiles 📍We set up automated, trigger-based journeys tailored to user behavior and purchase history Within 3 months: ↪️ Customer engagement increased by 38% ↪️ Repeat purchases rose by 22% especially among previously inactive users By connecting customer data and automating responses, their marketing became timely, relevant, and proactive. Remember, when AI powers the backend and the customer experience, that’s when real growth happens. Which part of your marketing funnel do you think AI should automate next?

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

AI is revolutionizing email marketing, opening doors to highly specific, niche solutions. Here’s where it’s set to shine: Micro-Segmentation: Use AI to group audiences by subtle behaviors, enabling hyper-personalized campaigns and behavioral triggers. Mood Detection: Leverage sentiment analysis to tailor email tone and timing based on real-time audience feelings. Proactive Retention: Predict churn and send automated win-back campaigns to re-engage at-risk customers. Accessibility: AI ensures inclusivity with automated alt text and screen reader optimizations. Intent Prediction: Deliver pre-sales content aligned with user actions, improving conversions. Zero-Party Data: AI-enhanced surveys encourage users to share data willingly for precise personalization. Compliance Automation: Manage GDPR and CAN-SPAM requirements with AI-driven consent tracking and privacy alerts. Real-Time Personalization: Update email content dynamically post-send, like weather-based recommendations. Feedback Integration: Use real-time customer feedback to refine email strategies and drive sentiment-based retargeting. Journey Builder: Map adaptive email journeys that change based on user behavior, ensuring hyper-relevance. 2025 is set to redefine email marketing with these AI-driven solutions. Want to stay ahead? Contact Prospect Engine to unlock your email marketing potential with cutting-edge strategies. #EmailMarketing #AIMarketing #DigitalStrategy

AI, automation, and the human touch... A real-life partner activation workflow: 1. ⚙️ Automated identification of who in your ecosystem needs to be engaged. This triggers a notification to the partner manager, in Slack. 2. 🤖 GenAI-enhanced messaging in the proposed partner engagement workflow. 3. 👋 The partner manager reviews, customizes, and approves the workflow. Messages sent from her Google inbox feel extremely personal. Impact: 👉 Open rates that can exceed 80% thanks to hyper-personalized touchpoints (right time, right content, right channel). 👉 Partner engagement that can even surpass that of manual outreach due to a more data-driven approach, which is enhanced by human input (best of both worlds). 👉 And a 10x increase in the reach of each partner manager.

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.

While everyone's talking about AI writing better copy, I'm seeing it offer much bigger wins for marketers in a different flavor.  Instead of just copy (and more specifically the volume overload it will create), it’s how AI can combine competitive intelligence, predictive analytics, and dynamic content optimization to actually make a dent in the results marketers see from their campaign vs just another piece of content. Here are the changes that I think we will see build out even further: Intelligence Replaces Intuition -Real-time competitive monitoring becomes the foundation of successful campaigns -Machine learning algorithms analyze thousands of industry based sequences to identify patterns -Advanced scoring systems predict prospect engagement before sending emails -Content optimization shifts towards data-driven Personalization Gets Predictive -AI will drive deeper personalization based on 1P data -Competitive intent signals determine message and timing per person -AI maps complete buyer journeys across multiple channels -Messages adapt automatically based on prospect behavior and 1P signals -Content optimizes itself based on real-time engagement data Timing Becomes Scientific -AI recognizes patterns to determine optimal send times -Competitive signal monitoring alerts you when prospects are actively researching -Engagement windows are calculated based on actual buyer behavior -Sequence timing adapts automatically based on prospect engagement patterns Content Evolution Accelerates -Market feedback loops provide instant insight into message effectiveness -Copy and creative optimization based on competitive performance -AI testing goes beyond basic A/B to understand complex pattern relationships -Gap analysis identifies untapped messaging opportunities in real-time -Value propositions adjust automatically to stay ahead of market shifts Measurement Gets Granular -Every sequence is measured against competitive benchmarks -Performance analysis happens in real-time rather than monthly reports -Conversion modeling predicts campaign outcomes before they happen The gap between good and great email content will widen dramatically in 2025. We’re seeing the outperformers investing in intelligence right now.

𝗘𝗺𝗮𝗶𝗹 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗕𝗼𝗼𝘀𝘁𝗶𝗻𝗴 𝗟𝗼𝘆𝗮𝗹𝘁𝘆 In a world where customer attention is increasingly fragmented, email marketing automation is a game-changer. By implementing an advanced automation tool, organizations can move away from outdated, generic email campaigns and create targeted, personalized experiences that drive conversions and build loyalty. Using platforms like HubSpot, Mailchimp, or ActiveCampaign, companies can now segment their audience based on behavior, preferences, and buying history. This allows for the delivery of personalized content and promotions tailored to each recipient, creating a more meaningful and engaging experience. For example, if a customer abandons their cart, an automated email can be triggered to remind them of the items, offer a discount, or suggest related products. Similarly, businesses can send tailored promotions based on past purchases, increasing the likelihood of repeat sales. This personalized approach not only nurtures leads more effectively but also strengthens customer relationships over time. As emails become more relevant and timely, customers are more likely to engage, increasing brand loyalty and lifetime value. Email marketing automation isn’t just about efficiency, it’s about delivering the right message at the right time, creating an experience that feels personal, not automated.   How are you using email automation to drive engagement? Chat about your strategy with Digital Transformation Strategist. #digitaltransformation #emailmarketing #strategy #marketingautomation #customerengagement    

We booked 80+ meetings per month in a niche you’d think was "too small to scale." Here's the exact 6-step outbound system we used: Our client manufactures and distributes vinyl wraps and PPF products to small local businesses like wrap shops. Not exactly a massive TAM, but we made it work. Step 1: Hone the Niche This wasn't spray and pray. We narrowed in on local wrap/tint shops because they're visual-first businesses that often showcase a portfolio of work. Most are also underserved by tech-forward vendors, so there was real opportunity. We went deep instead of wide. Step 2: Use AI Strategically Most people use AI to replace copywriting. We used it to power personalization at scale. We scraped websites to pull wrap styles, certifications, and recent projects. Then captured quotes, before/afters, and brand mentions to create AI summaries for each business. The results felt handwritten because we had “taken the time” to understand their business. AI just helped us do the research at scale. Step 3: Build Landing Pages Per City Every email linked to a localized landing page with custom domains per city (like /partners/Houston). We positioned it as "We're expanding in your area" with a clear CTA to join the partner network, where we'd send leads their way. It felt like a real opportunity, not a cold pitch. Step 4: Lean Into Compliments That Actually Land Personalization isn't "Saw you posted on LinkedIn." It's "Saw your matte black Camaro wrap, flawless work especially around the wheel wells" or "Congrats on your {certification}, {expected outcomes from having said certification}" Make it feel like you took the time. Step 5: Start Conversations, Don't Sell We never asked for a meeting in the first email. Instead, we used soft CTAs and offered local leads & partnership opportunities instead of a sales call. We framed it as collaboration, not a pitch. Response rate? 4x industry average. Booked 1 meeting for every 17 leads touched in our best campaigns. Step 6: Scale the System Without Killing Deliverability We ran everything off alternate domains, A/B rotated to preserve inbox health, and used Clay to enrich and orchestrate the entire workflow. That's how we kept the quality high even as volume scaled up. The system worked because we treated it like partnership outreach, not cold sales. When you're genuinely trying to help businesses grow, people can tell.

Email marketing remains the bedrock of B2B success, consistently delivering for customer retention and new lead generation. Now, a transformative force is emerging to amplify these results: AI. 57% of larger B2B companies are integrating AI into their email strategies, recognizing its potential to revolutionize their funnels. AI isn't just about automation; it's about creating intelligent, hyper-personalized experiences that resonate with your prospects and customers at every touchpoint: - Hyper-Personalization at Scale: AI delves deep into individual buyer data, understanding their unique needs and behaviors to deliver tailored content that converts. - Intelligent Retargeting: AI dynamically re-engages leads based on their specific interactions, ensuring your message is timely and highly relevant. - Precision Optimization: AI continuously analyzes and refines subject lines and send times, maximizing open rates and engagement with scientific accuracy. - Dynamic Content that Adapts: AI generates personalized content blocks on the fly, ensuring each recipient sees the information most pertinent to their journey. While the potential is immense, successful AI implementation requires thoughtful consideration: - Authenticity: AI-generated content risks sounding robotic if not carefully trained on your brand's unique voice and the subtleties of human interaction. - Human Touch: AI is a powerful tool, but strategic oversight, creative input, and ethical considerations remain firmly in the human domain. - Quality Data: AI algorithms thrive on accurate and comprehensive data. Investing in CRM hygiene and data enrichment is paramount for AI to deliver meaningful insights and personalized experiences. Elevating Your Funnel: To move beyond simply adopting AI and truly leverage its transformative power, consider these strategic imperatives: - Pinpoint Your Bottlenecks: Identify the real friction points in your lead journey and CRM processes. Where are leads dropping off? Where is personalization falling flat? - Experiment with Purpose: Initiate focused pilot programs targeting those key bottlenecks. This allows for measurable learning and minimizes risk. Think: "Can AI improve our initial lead qualification response time?" or "Can AI personalize content to boost engagement in our nurture sequence?" - Fuel the Machine with Intelligence: AI is only as good as the data it consumes. Invest in data hygiene to ensure your CRM provides a rich, accurate foundation. - Infuse Your Brand DNA: Actively train your AI models on your brand voice, values, and target audience nuances. - Orchestrate with Human Expertise: AI should empower, not replace. Integrate human review & oversight into your workflows to ensure quality, ethical considerations, & brand alignment. - Build the Right Foundation: Recognize that successful AI implementation requires the right skills and support. Invest in marketing operations expertise..

Many brands are making decisions based on fake email data (and don't know it).   Here's a simple Klaviyo setting that 90% of brands ignore:   Excluding bot interactions from attribution.   I've been implementing this across all my clients lately, and it's a best practice that most brands just... don't do.   Here's the problem:   Bots are clicking your emails and SMS messages.   Not real customers. Bots.   This inflates your attribution and makes you think email is performing better than it actually is.   Maybe it's competitors checking out your campaigns. Maybe it's automated tools crawling your content. Maybe it's spam filters testing links.   The fix is dead simple:   Go into Klaviyo attribution settings → exclude bot interactions from clicked email and SMS metrics.   That's it.   Now your revenue attribution reflects actual human behavior.   The difference might be small (1-2% in most cases, some as high as 5%), but the principle is huge:   Make decisions based on real data, not inflated metrics.   Your attribution should show you where real customers are actually engaging and buying.   If you're using Klaviyo and haven't done this yet, do it today.   It takes 30 seconds and gives you cleaner, more accurate performance data.