AI Strategies For Marketing Automation

Top U.S. sports retailer levels up with GenAI.  How they improved email personalization: Angela Jing & May Khine's infographic breaks down the opportunity, methodology, and results. Opportunity: Dick’s Sporting Goods (DSG) sends one to two daily emails to its subscribers. Previously, these emails were created manually with limited personalization. To enhance efficiency and personalization, DSG sought to combine Generative AI with its demographic, loyalty data, email templates, interactions, and transaction history. Here’s how they did it: 1\ Identify customer segments ↳ Cluster customers by purchase history to identify their content preferences. 2\ Generat email templates ↳ Create personalized email templates for customer segments using an LLM (DBRX) with Retrieval-Augmented Generation (RAG). 3\ Recommend templates for customers ↳ Rank LLM-generated templates and recommend the best for each customer. Results: Deliverables ↳ New LLM-based automated email generation pipeline. ↳ User-friendly web application. ↳ Clear prompt guidelines. Metrics ↳ 65% predicted increase in email relevance. ↳ 18% predicted increase in clicks. ↳ 29% estimated reduction in creation time. P.S. The graphic dives deeper on data scope and methodology. --- ♻️ Repost to help your network! 📌 Want to level up with Generative AI? 1. Just follow me Lewis Walker ➲ 2. Subscribe to my free newsletter. #generativeai #ai

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?

Your company might be invisible to your next customer. A CEO told me prospects can't find his company when they ask ChatGPT for recommendations. His company's website ranks well on Google. But in AI search? Nothing. 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁'𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴: • 89% of business buyers use ChatGPT to research vendors (Search Engine Journal, 2025).    • 72% B2B buyers see AI-generated answers in their Google searches (TrustRadius, 2025).    • 60% never click to visit any website (Bain & Company, 2025). 𝗧𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺: AI doesn't work like Google. It creates answers based on patterns it has learned. If your company isn't in those patterns, buyers never see you. I'm recommending the following approach to show up in AI search: 🔹 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗔𝘀𝘀𝗼𝗰𝗶𝗮𝘁𝗶𝗼𝗻: Your executive team writes about buyer trigger moments and market problems; building category entry point recognition.. AI learns to connect your brand with those problems. 🔹 𝗔𝗻𝘀𝘄𝗲𝗿 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: They write content that AI can easily find and use. Clear headings, simple answers, and organized information work best. 🔹 𝗘𝗮𝗿𝗻𝗲𝗱 𝗔𝘂𝘁𝗵𝗼𝗿𝗶𝘁𝘆: News sites, podcasts, and industry reports mention your company. AI trusts these sources more than your own website (Search Engine Journal, 2025). 🔹 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 𝗔𝗺𝗽𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Your employees, partners, and customers share your content. This can boost your AI visibility by 40% (Princeton Research, 2024). 𝗧𝗵𝗿𝗲𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗮𝘀𝗸 𝗮𝗯𝗼𝘂𝘁 𝘆𝗼𝘂𝗿 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗔𝗜 𝘀𝗲𝗮𝗿𝗰𝗵 𝗿𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀: 1. Does AI know what problems we solve?     2. Is our Executive team publicly acknowledged as being connected to our industry's challenges?     3. Are we testing if AI recommends us? 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: Buyers might choose competitors before seeing your company You could lose 15-25% of your website traffic (Bain, 2025) Companies moving now have a big advantage. Where does your company stand today? #brand #demand #GTM #AI  

E-mail marketing is frequently old, cold, and over-sold. But can AI make e-mail far more effective in creating customer connection? Yes! Here’s a short excerpt from my new Forbes article on how: E-mail newsletters are a mainstay of customer relationship management, but that doesn’t mean that they’ve been ideal. However, change is on the horizon. As Lindsay Massey, VP of Marketing at Victoria’s Secret & Co., explained in an interview, “We wanted to move beyond a manual, one-size-fits-all content strategy and provide a 1:1 personalized experience at scale.” Victoria’s Secret used AI to do the job. In its case, the firm partnered with a company called Movable Ink to provide the technology. Movable Ink’s CEO, Vivek Sharma, explained the goal in an interview. “Think about what is the story I’m telling every single customer, so that it’s correlated with what imagery, with what creative. Think about the best time to deliver it so that they’re most likely to respond. What’s the right frequency of communication? What sales channel preference do they have? What tone should be used within the set brand voice, like whether there should be a sense of urgency or joy?” This is a radically different approach than what’s predominated over the past decades. But AI is making it possible. Sharma explained that the company combines four types of AI to do it. First there is a vision model that uses deep learning to understand potential imagery and copy to use. Then generative AI writes copy based on customer preferences and past behavior. Third, a separate insights model gains that understanding, based on how creative is performing such as through driving people to new categories or higher levels of spend. Finally, the fourth element is a prediction model that deploys classic machine learning to hone the offerings. That classic approach is more observable and explainable than a neural network, which is important when significant money and customer relationships are at stake. Massey claims the company has gone from “one version of an e-mail campaign on a given day to thousands, or even hundreds of thousands, of versions, with less setup time.” Another company trying this approach is L.L.Bean. Its Senior Manager of Digital CRM Programs, Devon Phelan, recounts, “This past Monday, we sent one campaign that had nearly 1.1 million unique content variations. That would have been inconceivable before.” E-mail marketing may not be the first thing that consumers think of when they picture AI, but it may become a facet of AI that touches them on a very routine basis. Both Victoria’s Secret and L.L.Bean say that there’s no going back. Excerpted from my new Forbes piece “How AI Is Revolutionizing E-Mail Marketing”

Zero-click searches jumped from 56% to 69% in just 12 months. 📉 That's more than 600 million lost visits. 👇 Here's what's happening: AI Overviews, ChatGPT, Perplexity, and Gemini don't rank pages. They summarise trusted sources. If your brand isn't one of those sources, you're invisible in AI-powered search. Four myths holding marketing leaders back: "AI search will kill SEO" 📢 SEO is evolving. The goal is to train AI systems to trust and reference your brand, not just rank. "We can't measure AI visibility" 📢 Track AI citations, mention frequency, and where you appear in summaries. "AI search only matters for tech brands" 📢 Every category relying on discovery or expertise is affected—B2B, hospitality, manufacturing, all of it. "We can wait and see" 📢 By 2028, 50% of searches could be AI-powered. That's three years away. What works now: ✅ Brand authority over keywords. AI cites brands consistently associated with credible expertise. ✅ Ethical content. Transparent, verifiable, expert-led content with clear attribution. ✅ Structured data. Schema markup helps AI understand your expertise. The mid-market advantage: ✅ Large enterprises are paralysed by complexity. Small brands lack resources. Mid-market brands have the sweet spot: agility + authority. ✅ Use 2025-2026 to pilot AI-search visibility experiments before competitors catch up. The brands defining the AI search landscape are adapting today, not waiting. #AISearch #DigitalMarketing #SEO #BrandVisibility #SearchMarketing #MarketingLeadership

50% of Google searches now result in AI summaries. Businesses must optimise content accordingly.  Ranking first in Google is no longer the only goal. AI engines are quickly gaining in popularity for discovery.  (ChatGPT, Claude, Perplexity, Gemini) If you want your brand to be visible across the board,  You need to put energy into optimising for AI-driven search (AEO/GEO). Google rankings can still bring traffic.  But AI-driven rankings are shaping recommendations and buyer intent. This is what businesses need to dominate search in 2025 👇 ➡️ Step 1: Be Found (SEO)  ↳ Search engines still matter, but they’ve changed. You need to: ✅ Nail the fundamentals: fast site, schema, structured data. ✅ Build clusters around full topics, not just keywords. ✅ Own authority with consistent on-page optimisation and backlinks. This is a prerequisite to entering the conversation. ➡️ Step 2: Be Chosen (AEO)  ↳ AI Overviews are now the front door of discovery. To win, you must: ✅ Optimise for voice queries, FAQs, and instant answers. ✅ Structure content so LLMs can “lift” your answers directly. ✅ Prioritise clarity, short snippets, and schema-rich responses. If you aren’t AI’s first choice, you will be invisible. ➡️ Step 3: Be Cited (GEO)  ↳ Generative engines reward those they can reference. To earn citations: ✅ Create high-trust, insight-led content. ✅ Publish data, original thinking, and frameworks AI can reference. ✅ Use prompt-led publishing to match how people query LLMs. If the machines don’t cite you, humans won’t find you. ➡️ Step 4: Be Scaled (AIO) ↳ AI has changed the economics of content. Scale comes from: ✅ Automating content production without losing voice. ✅ Repurposing into multiple formats (text, video, carousel). ✅ Using AI for editorial planning, clustering, and coverage. This is how you compete on volume without burning resources. ➡️ Step 5: Be Dominant (SXO) ↳ Winning in 2025 isn’t about ranking. It’s about owning the ecosystem: ✅ Stack SEO + AEO + GEO + AIO into one system. ✅ Dominate a niche with topic-layering across search, AI, and platforms. ✅ Push traffic off platforms into owned channels (newsletter, community). Search in 2025 is no longer a single-channel game. SEO is the foundation. But... → AEO earns you visibility in AI overviews.  → GEO secures citations inside generative engines.  → AIO and SXO let you scale and own the ecosystem. The businesses that start adapting now will catch this rising tide.   The ones that don't risk losing traffic and customers. That's exactly why I'm building Searchable.  It's an Autonomous SEO & AEO Growth Engineer. Join the waitlist here 👇  https://lnkd.in/epgXyFmi Have you started optimising for AI search?  Share your experience in the comments. - - - - 📌 If you want a high-res PDF of this sheet: 1. Follow Chris Donnelly. 2. Like the post. 3. Repost to your network. 4. Subscribe to: https://lnkd.in/eUTCQTWb

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

Modern B2B marketing isn’t what it used to be. (And most teams are still playing by 2018 rules.) The world changed faster than the playbook. AI rewrote how buyers search, decide, and trust. And now? Your brand’s edge isn’t in more content. It’s in smarter ecosystems. Because in 2025, visibility isn’t just about ranking. It’s about being found by humans and algorithms. Here’s what winning teams are doing differently 👇 1. AI Insights - They predict buyer intent with real-time data. - They automate decisions without losing intuition. - They scale creativity, not chaos. 2. AI Search Visibility - They write for ChatGPT and Perplexity, not just Google. - They optimise content for AI citations. - They build authority through GEO and AEO. 3. Expert Influence - They partner with credible creators. - They measure influence, not impressions. - They turn thought leaders into growth channels. 4. Knowledge-Driven Content - They teach before they sell. - They create assets worth referencing. - They structure for clarity and crawlability. 5. People-First Marketing - They show faces, not logos. - They build communities around ideas. - They make trust their strongest currency. Smart Automation (Bonus) - They automate workflows that free humans. - They blend empathy with efficiency. - They scale personalization without losing touch. 6. Employee Advocacy - They turn employees into brand storytellers. - They train teams to post with purpose. - They grow reach through real voices. The truth? B2B growth now lives where AI, influence, and trust intersect. And the brands that win don’t just market, They teach, connect, and adapt faster. Your 2025 B2B Tool Stack 🧠 → Semrush One — SEO + AI search visibility → Canva — Visual storytelling made scalable → Notion — Strategy, briefs, and collaboration → ChatGPT/Gemini/Claude/Perplexity — Research, ideation, and optimization → LinkedIn — Distribution, thought leadership, reach → Zapier — Automate data and campaign flows and more... Here’s a simple question to ask before every campaign, pitch, or post: “What might my buyers be missing?” It’s not always about perfect strategies. It’s about building the habit of clearer marketing. Your best campaigns start with better understanding. And better understanding starts with seeing your audience’s blind spots. ♻️ Repost it to share with your network Follow me Madhav Mistry for insights on marketing

AI is changing email marketing but are you keeping up? Email marketing isn’t what it used to be. The days of manually testing subject lines, guessing send times, and blasting the same offer to your entire list? Over. AI is running the show now, and the smartest Ecom brands are leveraging it to: ✅ Write high-converting subject lines in seconds ✅ Automate hyper-personalized email flows ✅ Predict which customers will buy (and when) ✅ Optimize send times for max revenue ✅ Scale email marketing without the burnout And here’s the good news - you don’t need a massive team or a Fortune 500 budget to do this. If you have Klaviyo & ChatGPT, you’re already in the game. Here’s how: 1️⃣ AI-Powered Subject Lines & Copy (ChatGPT) Struggling to come up with fresh subject lines? ChatGPT can generate 10+ variations in seconds. Even better - train it with your brand’s tone for email copy that sounds exactly like you. 2️⃣ Predictive Sending (Klaviyo) Klaviyo’s AI analyzes your audience’s behavior to send emails at the perfect time. No more random blasts - just smarter timing that drives higher opens, clicks, and sales. 3️⃣ Personalized Product Recommendations (Klaviyo) AI can match the right product with the right customer based on browsing & purchase history. No more “spray & pray” emails - just highly targeted, conversion-focused campaigns. 4️⃣ AI-Optimized Win-Back Flows (Klaviyo + ChatGPT) Losing customers? Klaviyo predicts who’s likely to churn and automates win-back emails with the right offer. ChatGPT helps you craft messaging that feels personal, not robotic. 5️⃣ AI-Generated Content & Campaign Ideas (ChatGPT) Need fresh email campaign ideas? ChatGPT can brainstorm seasonal promos, product launch sequences, or even multi-email nurture flows - saving hours of work. The bottom line? AI is no longer "Nice to Have", it’s essential. Brands that leverage AI aren’t guessing - they’re making data-driven moves that bring in more revenue, with less effort. If you're still doing email the old-school way, you're leaving $$$ on the table. #emailmarketing #ecommerce #AI

The OTAs Just Hijacked AI Search Expedia and Booking.com just planted themselves inside ChatGPT. Their new integrations mean travelers can now search, compare, and even book stays directly inside ChatGPT. Skipping Google, skipping DMOs, skipping your website. That’s not just a tech update. That’s a distribution shift. When AI starts deciding which hotels appear, and the OTAs own that space, independents risk being written out of the story entirely. 💡 What This Means AI isn’t just influencing travel search anymore. It’s replacing it. ChatGPT is becoming the first stop for trip planning, and the platforms feeding it are the ones that’ll win the booking. So while OTAs move to own AI discovery, independents need to build visibility on new terms, what I call AI Search Visibility. 🧭 What To Do About It 1. Structured Data = Your New SEO. Add hotel schema (Schema.org/Hotel), FAQs, and Q&A-style content to your website. This helps ChatGPT and Google’s AI-driven search actually understand your property. 2. Active Content Signals You’re Alive. Post recent reviews, photos, and updates to your Google Business Profile. AI scrapers reward fresh, consistent signals. 3. Collaborate Locally. DMOs, associations, and tech partners can share verified data sets and destination info that make all your properties more discoverable. AI search could’ve been the great equalizer, helping small properties compete on guest experience, not ad budgets. But only if we prepare for it. Because when AIs decide who gets seen, invisibility isn’t a glitch — it’s a death sentence. So here’s my question for you all: 👉 What’s one way your property (or destination) can get more AI-ready before the end of the year?