Importance of Personalization

Your sales emails suck. And guess what? I know because I get 30 of them a day. I see the same mistakes over and over...the boring intros, the endless rambling, and the generic pitches that make my inbox feel like a nightmare. Want to know why? Because your email has 3 seconds to make an impression. THREE. Seconds. That's how long you have before I hit "delete" So if you’re not cutting through the noise, you’re just part of the problem. Here’s why your outreach isn’t working: 🚫 Cut the fluff, now – “Hope you’re doing well” or “Just checking in” is a one-way ticket to the trash. No one has time for that. If you don’t get to the point within the first 5 words, you’re done. ✂️ Get to the point fast – Lengthy emails are a killer. Research shows emails under 50 words see 83% more replies. That means if you're writing a novel, you’re already losing. 📚 Personalize (like actually personalize) – "I see you're in [insert job title here]”—that's not personalization, it’s lazy. Do your homework and show that you understand my specific challenges and goals. If you don’t, I’m clicking delete before you even finish your sentence. 🎯 Relevance matters more than anything – If your email isn’t directly tied to what I’m trying to accomplish, it’s not going to get a reply. I don’t need a generic pitch; I need to know how you can help me solve my problems today. 🔥 Stop the lazy copy-paste – If I can tell you’re sending the same message to 100 people, I’m out. Your outreach should feel like you’re speaking to me, not to the entire world. Personalization isn’t just a buzzword. You’ve got 3 seconds to grab attention and show value. If you’re still using the same tired tactics, you’re wasting your time...and mine. 🎤 🫳 ALSO MASSIVE SHOUTOUT to the folks using video to prospect, can say that personalized video messages get a response from me every time. I LOVE them.

We often think of AI agents as black boxes: you give a prompt, and it replies. But 𝗯𝗲𝗵𝗶𝗻𝗱 𝘁𝗵𝗲 𝘀𝗰𝗲𝗻𝗲𝘀, there’s a complex, multi-layered orchestration of memory, reasoning, tool use, and learning. This visual captures the 𝗳𝘂𝗹𝗹 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗟𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲 — 𝗳𝗿𝗼𝗺 𝗣𝗿𝗼𝗺𝗽𝘁 𝘁𝗼 𝗔𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸, across 𝗺𝗮𝗻𝘆 𝗶𝗻𝘁𝗲𝗿𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝘀𝘁𝗮𝗴𝗲𝘀. 1. 𝗜𝘁 𝘀𝘁𝗮𝗿𝘁𝘀 𝘄𝗶𝘁𝗵 𝗻𝗮𝘁𝘂𝗿𝗮𝗹 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 – but that’s just the trigger.      The agent immediately cleans, tokenizes, and checks readiness before doing anything else. 2. 𝗜𝗻𝘁𝗲𝗻𝘁 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹.      Without knowing 𝘸𝘩𝘢𝘵 the user actually wants (search vs summarize vs act), the agent can’t plan effectively. 3. 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 + 𝗠𝗲𝗺𝗼𝗿𝘆 = 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻.      Episodic, long-term, and semantic memory shape the agent’s decision-making to feel more human. 4. 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗶𝘀 𝘁𝗵𝗲 𝗯𝗿𝗮𝗶𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻.      Using techniques like ReAct and CoT, the agent creates a plan before touching any tools. 5. 𝗧𝗼𝗼𝗹 𝗨𝘀𝗲 𝗶𝘀 𝗻𝗼𝘁 𝗼𝗽𝘁𝗶𝗼𝗻𝗮𝗹 𝗮𝗻𝘆𝗺𝗼𝗿𝗲.      Search, APIs, bots, file systems—agent capabilities are tightly coupled with external execution layers. 6. 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗰𝗹𝗼𝘀𝗲𝘀 𝘁𝗵𝗲 𝗹𝗼𝗼𝗽.      Real-time signals and user feedback aren't just for metrics—they 𝘶𝘱𝘥𝘢𝘵𝘦 𝘮𝘦𝘮𝘰𝘳𝘺 𝘢𝘯𝘥 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘦 𝘣𝘦𝘩𝘢𝘷𝘪𝘰𝘳. This architecture isn’t theoretical. It’s what powers real-world agentic systems today—using frameworks like: LangGraph   CrewAI   AutoGen   AgentOps   Custom LLM orchestration stacks The future of AI isn’t just bigger models—it’s better agents. Agents that 𝗼𝗯𝘀𝗲𝗿𝘃𝗲, 𝗿𝗲𝗮𝘀𝗼𝗻, 𝗮𝗰𝘁, 𝗮𝗻𝗱 𝗹𝗲𝗮𝗿𝗻. I'd love to hear—how are you using agents in your work?

#idea: AI should not just have a bigger and better memory, but a more personalizable one. One of the big opportunities in AI is better memory. By giving models a "memory", they can learn more about us, and then deliver better results, over time. This is great, and I'm a fan. But, along with building bigger and better memory, there's an opportunity to also make the memory more customizable. Here's a simple (naive) implementation. Imagine that in ChatGPT or Claude, there was a way to enter "Memory Instructions". Example: "Remember things I tell you to improve future responses, especially related to business/work. DON'T remember things I reveal about health or anything related to my family. Don't keep memories around for longer than a year unless they are factual and do not change. The world changes quickly and my thinking or position on a topic may change too." It's a bit like having a real personal assistant. You may have them open any mail that is a bill or junk mail -- but not personal mail. You may want them to remember that you prefer an aisle seat when traveling, but not that you binge-watched a guilty-pleasure TV show last week. The idea is to have some degree of control over what the system remembers. This would help people get more comfortable with the idea of the A.I. having memory and context.

Got asked on a webinar what type of email gets my attention. Important lesson on personalization vs. relevance. 2 [Real] Examples. 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐞𝐱𝐚𝐦𝐩𝐥𝐞: “Hey Brian - congrats on recently getting engaged. I recently got married last year and we love playing pickleball too. Anyways. I am trying to network with other top performers and wanted to see if you’d have 30 minutes to share what’s working for you. P.S. Saw you’re a Hoosier - sorry about the tough loss last night!” 1. Absolutely did their homework and loved the personal note 2. Only reason to say ‘yes’ is if I deem the 30 min of swapping ideas valuable Result: -Sent them a short note saying I was overcommitted, but loved the note 𝐑𝐞𝐥𝐞𝐯𝐚𝐧𝐜𝐞 𝐞𝐱𝐚𝐦𝐩𝐥𝐞: Brian, I noticed in your interview with Juston Warthen that you were likely using your laptop’s stock camera which stood in contrast to Juston’s setup. A problem sellers face is they want to have more of a presence and command the respect of a more tenured Account Executive so that they’re promoted into an enterprise selling role. I’ve been in an AE role for 20 years and have specific recommendations for how you can level up your setup to command attention and be viewed as an enterprise seller. Would you be interested in learning more? Real example from Todd Kelley ^^ 1. Did their homework + added personalization - loved the touch 2. Real problem I had and built instant credibility - knew it’d be very valuable and at a minimum, I’d learn something new Result: -Me finding 30 min with him the next day Don’t care how much research you do on my school, social life, hobbies If you can’t fix some problem I have, I’ll never spend 30 minutes And I’m only an AE… imagine you’re prospecting C-Suite Prospect accordingly!! :)

𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐡𝐨𝐰 𝐜𝐮𝐬𝐭𝐨𝐦 𝐆𝐞𝐧𝐀𝐈 𝐢𝐬 𝐫𝐞𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐢𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧𝐬 𝐟𝐫𝐨𝐦 𝐡𝐲𝐩𝐞𝐫 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐬𝐚𝐥𝐞𝐬 𝐩𝐢𝐭𝐜𝐡𝐞𝐬 𝐭𝐨 𝐢𝐧𝐬𝐭𝐚𝐧𝐭, 𝐞𝐦𝐩𝐚𝐭𝐡𝐞𝐭𝐢𝐜 𝐬𝐮𝐩𝐩𝐨𝐫𝐭 𝐝𝐫𝐢𝐯𝐢𝐧𝐠 𝐝𝐞𝐞𝐩𝐞𝐫 𝐞𝐧𝐠𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐥𝐨𝐲𝐚𝐥𝐭𝐲. The future of customer experience is tailored, efficient, and scalable. Here’s how businesses are winning with custom GenAI: 𝐇𝐲𝐩𝐞𝐫-𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐒𝐚𝐥𝐞𝐬 𝐎𝐮𝐭𝐫𝐞𝐚𝐜𝐡 ↳ A SaaS company increased demos by 40% using AI-tailored email campaigns. ↳ Microsoft Azure AI analyzed buyer intent to craft resonant messages. ↳ Sales teams focused on closing deals instead of chasing leads. 𝐄𝐦𝐩𝐚𝐭𝐡𝐞𝐭𝐢𝐜 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 ↳ An e-commerce brand reduced complaints by 25% with AI-powered chatbots. ↳ Azure Cognitive Services provided real-time sentiment analysis for better responses. ↳ AI escalated complex issues directly to human agents, cutting wait times. 𝐅𝐚𝐬𝐭𝐞𝐫 𝐐𝐮𝐞𝐫𝐲 𝐑𝐞𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 ↳ A fintech startup cut support resolution time by 50%. ↳ Azure OpenAI Service referenced transaction history to resolve disputes instantly. ↳ Customers trusted the speed and accuracy of automated responses. 𝐏𝐫𝐨𝐚𝐜𝐭𝐢𝐯𝐞 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐑𝐞𝐭𝐞𝐧𝐭𝐢𝐨𝐧 ↳ A subscription service boosted renewals by 30% with GenAI insights. ↳ Microsoft’s AI tools flagged inactive users for re-engagement. ↳ Personalized emails brought 70% of these customers back. 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐂𝐫𝐞𝐚𝐭𝐢𝐨𝐧 ↳ A marketing agency generated 500 ad variations in 24 hours. ↳ AI, hosted on Azure, adapted copy for cultural nuances and languages ↳ Campaign ROI doubled without adding more creative resources. 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐟𝐫𝐨𝐦 𝐔𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐃𝐚𝐭𝐚 ↳ A healthcare provider used AI to analyze patient feedback. ↳ Azure’s capabilities uncovered service gaps and addressed them within weeks. ↳ Improved patient satisfaction scores by 15%. 𝐒𝐞𝐚𝐦𝐥𝐞𝐬𝐬 𝐌𝐮𝐥𝐭𝐢𝐜𝐡𝐚𝐧𝐧𝐞𝐥 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬 ↳ A retail brand unified its online and in-store journeys with GenAI. ↳ AI recommended products based on in-store visits and browsing history. ↳ Cross-channel conversions surged by 35%. Custom GenAI isn’t just a tool. It’s your secret weapon for sustainable growth and customer loyalty. ♻️ Repost to your LinkedIn followers and follow Timothy Goebel for more actionable insights on AI and innovation. #AIforCustomerExperience #CustomGenAIImpact #PersonalizedAI #FutureOfCX #GenAIRevolution

People value what they create 63% more. Yet most digital experiences treat customers as passive recipients instead of co-creators. This psychological principle, known as the "Ikea Effect", is shockingly underutilized in digital journeys. When someone builds a piece of Ikea furniture, they develop an emotional attachment that transcends its objective value. The same phenomenon happens in digital experiences. After optimizing digital journeys for companies like Adobe and Nike for over a decade, I've discovered this pattern consistently: 👉 Those who customize or personalize a product before purchase are dramatically more likely to convert and remain loyal. One enterprise client implemented a product configurator that increased conversions by 31% and reduced returns by 24%. Users weren't getting a different product... they were getting the same product they helped create. The psychology is simple but powerful: ↳ Customization creates psychological ownership before financial ownership ↳ The effort invested creates value attribution ↳ Co-creation builds emotional connection Three ways to implement this today: 1️⃣ Replace dropdown options with visual configurators 2️⃣ Create personalization quizzes that guide product selection 3️⃣ Allow users to save and revisit their customized selections Most importantly: shift your mindset from selling products to facilitating creation. When customers feel like co-creators rather than consumers, they don't just buy more... they become advocates. How are you letting your customers build rather than just buy?

I've watch how ChatGPT remembers me. And then it struck me, that my bank doesn’t. I can stop thinking about that. A language model can track my preferences, recall past conversations, and personalize answers. All in real time. But when I call my bank? It’s like starting from scratch. Every. Single. Time. Every single community bank prides themselves on "relationships", but they all struggle to remember my financial context, especially across siloed business lines, let alone predict what I'll need next. This isn’t just a tech gap. It’s a mindset gap. I think memory is the new infrastructure. And personalization isn’t just a nice to have, it’s gonna be the new network effect. The more I’m remembered The more relevant the experience The more likely I stay The more I share What banks call “relationship banking” has become static and too transactional. What AI platforms are doing is dynamic, continuous, and deeply personalized. So here’s the challenge, If ChatGPT can know who I am and what I care about Then why can’t my bank? I believe the next generation of financial experiences won’t be built around products. They’ll be built around signals, memory, and trust. 💡 Know who I am 💡 Know what I need (before I do) 💡 Know how I evolve This is big opportunity, let's called it Relationship Banking 2.0 Who is building in this space? I wanna talk!

In the world of AI, most products today lean towards pull-based experiences like you ask a question, and the system responds. These experiences feel intuitive, empowering users to be in control. But while they create a solid foundation for usability, the real wow factor emerges when AI shifts to push-based use cases. Imagine AI anticipating your needs: suggesting edits to your document as you write, proposing new paragraphs to enhance clarity, or even offering tailored deals across portals as you browse a product attached to your shopping list, unlike standard recommendations. Push-based AI doesn’t wait to be called upon, but it’s there, actively delivering value in real time. This proactive intelligence becomes feasible with agentic AI systems across systems. These agents not only automate tasks but also enhance user workflows by making smart decisions on their behalf. For instance, writing an ad copy becomes seamless when AI not only generates ideas but also conducts market research, optimizes for SEO, and aligns with the latest trends that too are all in the background. It’s no longer about searching for insights but having them delivered at the right moment. The value is in timing and relevance, making AI feel more like a trusted assistant than a tool. This shift from pull to push in AI is why agentic systems are gaining so much momentum. It’s not just a race for computing power; rather, it’s a race for attention. By meeting users where they are and anticipating their needs, AI applications can elevate user experiences and redefine expectations. The future of AI isn’t just about solving problems when asked; it’s about solving problems before you even realize they exist. #ExperienceFromTheField #WrittenByHuman #EditedByAI

Fascinating insights from Dr. Rekha Kumar, M.D, M.S., Found, Chief Medical Officer, on obesity and weight management. Did you know that 40% of adults and 20% of children have obesity? The magnitude of this issue is reflected in the $15 bn US obesity treatment market and the $160 bn US weight loss market. Key insights from our interview: - Obesity is a heterogeneous disease. It may look the same on the outside with a person having excess body fat. However, the root cause can be different. - Weight management lifestyle and medication programs do not work the same in each person nor work for everyone. - Medicines, such as GLP1s like Ozempic, are changing the weight loss paradigm. It’s not just will power, nor diet and exercise; there’s a biological component. - Found treats obesity using behavioral intervention such as health coaches, exercise physiologists, nutritionists, and telehealth where doctors can prescribe anti-obesity medication - Found health outcomes: 90% of patients lose 10% of body weight in 1 year, and 15% of patients lose 20% of body weight in 1 year - Challenging to achieve patient/customer retention and stickiness in any consumer health business. Patients are more likely to stay if the first thing done works. - As a result, Found is focused on personalization, getting to root cause, and making the behavioral change process exciting for the patient Check out the full episode here: https://lnkd.in/ggyNXyDN. Thank you for watching The HLTH Daily Show! #health #healthcare #wellness #ceo #leadership #innovation #technology #digital #transformation #business #data #ai #artificialintelligence #generativeai #obesity #weightloss #ozempic #GLP1 #venturecapital #privateequity #investing #entrepreneurship #founders #startups #hlth #grateful #media #podcast #codebreakermindset HLTH

Copywriters, Freelancers, and Agency Owners: Want to know the #1 secret to landing high-ticket clients? It's not about sending 100 cold emails or DMs a day or having the perfect outreach method. The real key to winning over big clients is... PERSONALIZATION! I receive tons of cold emails and DMs every day, and most of them miss the mark. They aren’t targeted enough, and often, I don’t need the service at all. After nearly a decade in the trenches and landing over 1,000 clients, I’ve learned that personalization is the make-or-break factor in your outreach messages. When you take the time to: Do Deep Research: Understand your prospect’s business, industry, and specific pain points. This shows you’ve invested effort into understanding their unique needs. Create Custom Value Propositions: Highlight how your services can address their specific challenges and help achieve their goals. Use relevant examples and case studies. Build Genuine Relationships: Engage in authentic, personalized communication that fosters trust and rapport. Mention specific details about their work or recent achievements. That’s when the magic happens. Your prospects start seeing you as a valuable consultant, not just another generic freelancer. And that’s when the big deals start rolling in.