Lead Nurturing Automation

You don’t need more leads. You need fewer dropped balls. Plenty of businesses are filling the funnel. But too many are leaking deals right after. The top of the funnel gets the attention—ads, forms, clicks. But once the lead comes in? That’s where things often fall apart. → No follow-up for days → CRM updates that never happen → Leads assigned to the wrong rep → Internal handoffs lost in Slack threads → Manual follow-ups that fall through the cracks And just like that, a warm lead goes cold. This is where automation—and AI—can actually help. Not by generating more leads, but by making sure the right steps happen every single time after a lead comes in. → Auto-route and prioritize new leads → Trigger timely, personalized follow-ups → Assign ownership and set the next action in your CRM → Nurture cold leads with AI-generated touchpoints → Keep your team in sync without extra reminders It’s not about doing more. It’s about never missing the things that already work. If your pipeline is full but deals aren’t closing, it’s not a volume problem. It’s a systems problem. — 🔔 Follow Nathan Weill for automation insights (without the fluff). #LeadConversion #AutomationStrategy #AIInBusiness #RevenueOps #CRMOptimization

Check out my new article in the Journal of Marketing with Johannes Habel, Nathaniel Hartmann, Phillip Wiseman, and Sashank Vaid! 🚀 The global marketing automation market is projected to hit $9.7 billion by 2031, but does Automated Lead Nurturing (ALN) truly drive sales—or is it just another overhyped tech trend? Our new study challenges industry assumptions. While ALN can enhance salesperson–lead interactions and boost conversions by up to 23 percentage points, it’s not a one-size-fits-all solution. Our research finds ALN works best for new leads, short sales cycles, and lower-value deals—but has little impact on returning customers or high-ticket purchases where buyers already have the information they need. So what should managers do? ✅ Test before committing: A/B test ALN against traditional sales approaches. ✅ Look beyond vanity metrics: Clicks & opens don’t equal conversions—track real sales impact. ✅ Use ALN strategically: Leverage it to enhance, not replace, human interactions. For ALN providers, the takeaway is clear: Stop overpromising. ALN isn’t a silver bullet—it’s a tool. The businesses that customize and refine their automation strategies will be the ones that see real revenue gains. 📖 Read the full study to rethink how automation fits into your sales strategy #SalesTech #Marketing #AI #LeadGeneration #B2BSales #MarketingAutomation #JournalofMarketing

This is Day 1 of letting AI take over my marketing job Here’s what I’m starting today and why I’m excited (and a little nervous). A few months ago, I asked myself: what if I could build my own end-to-end marketing automation stack, with custom flows, AI-driven personalisation, and no dependency on expensive tools? So I’m working on a series: Funnels & Fun(ction): My AI Automation Diary, where I’ll document what I build, how I build it, and what it actually delivers. Here’s a sneak peek into what I’m working on now: I built a 5-step lead nurturing drip using email rosters. Each lead’s name, company name, email, and pain context passes through an OpenAI model. The model generates a tailored pitch message for that lead. Based on responses (or lack thereof), the lead flows into the next step. This isn’t theoretical, it’s live, modular, and scalable. What this means: Instead of paying expensive SaaS for every micro-automation, I can build custom automations tailored to my funnel, I control logic, changes, and adapt as I learn, I can scale personalization in a way most tools can’t! If you want, I can demo this in my next post, show you the flow, the AI prompts, the “engine under the hood.” If you’re a marketer, growth hacker, founder, or ops person, I’ll bet this will interest you: building your own automation stacks, not just copying what tools offer. So here’s my ask to you: If you’ve ever tried building your own marketing automations, what was your biggest roadblock? Would you rather see a walkthrough video or a carousel showing the flow? I’m just getting started. But I believe that soon, building smart automations with AI won’t be “advanced”, it will be standard for anyone serious about growth. #GrowthMarketing | #MarketingAutomation | #n8n

Here’s a little-known insight: automation can be just as personalized as human interaction when done right. Effective lead nurturing workflows leverage detailed audience insights to deliver targeted, impactful content. It's not about overwhelming leads with emails, it’s about understanding their needs and offering value at the right time. Here’s my approach: 1/ Every lead is different. I segment them based on behavior, interests, and buying stage to ensure tailored communication. 2/ I pinpoint key interaction touchpoints, whether that’s through educational emails, personalized offers, or timely check-ins. 3/ Even automated messages are thoughtfully crafted to address the specific concerns and interests of each audience segment. 4/ I set precise conditions for when each message is sent, ensuring it’s always relevant and timely. 5/ I continuously track the performance of each interaction, refining strategies to boost engagement and conversions. A well-structured automated workflow not only keeps leads engaged but also nurtures them into genuine prospects ready for meaningful interactions. What’s your approach to using automation in lead nurturing? Have you faced any challenges along the way? Let’s exchange insights. #automation #engagement #lead

Most contractors think "marketing automation" means complicated software and a developer on speed dial. It doesn't. Let me show you what it actually looks like in practice. 👇 Here's what an automation system built for a plumbing company does in a single day — with no extra staff. ⚙️ 7:00 am — new lead comes in → A homeowner submits a contact form → Within 60 seconds: automated text confirms receipt and sets a callback window → Lead appears in the dispatch queue, flagged as new 📞 7:02 am — first call attempt → On-call tech calls. Lead qualifies. Appointment set. → The homeowner already feels taken care of — before anyone even knocked on the door. 📱 Day of service → 7:00 AM: automated reminder with technician name and arrival window → One text. Fewer no-shows. Zero extra effort. ✅ Job complete → Within 2 hours: automated review request sent via text with direct link → No chasing. No awkward asks. The system handles it. 📊 What that system actually produces → Lead response time drops from hours to under 5 minutes → Review volume increases consistently month over month → No additional staff required to manage the sequence 🛠️ What it takes to build → A CRM that handles text messaging ($50–$150/month for small operations) → About 4 hours of initial setup to define your sequences → One person who checks the queue daily This isn't a complicated build. Most contractors who set it up themselves do it in a weekend. 📍 At Makarios, we help clients define the sequences and pick the right tools before any build begins. The setup question always comes first. 🎯 What part of your current lead management process consumes the most time per week? Drop it in the comments. 💬

88% of companies are exploring AI but 30% AI projects get abandoned after proof of concept. At UserGems 💎, we adopted AI 9 months ago. The result? 💎 74% increase in outbound capacity 💎 (from 12 to 20.9 outbound opps/rep/month) When we started using Gem-E, we did go pretty broad. We gave it a random list of accounts that no one was working on. It went OK. But it still felt like an experiment, nice-to-have, side-project. For it to stick, it has to be a part of our Team's operations, drive business outcomes (OKR level), have manager's oversight & be adopted by Reps. So, we focused Gem-E around 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻𝘀. ✅ Identify 1-3 campaigns that we are running / want to run ✅ Break each campaign down into steps (like an assembly line) ✅ Identify areas AI can improve (Tip: Ask your team "What parts of this campaign suck?", "What parts you hate the most?". ) For us, it was these 3 Campaigns to start: 𝗔𝗕𝗠: We run high-volume ABM campaigns (600 accounts/quarter) - Prioritizing Accounts for ABM has always been a VERY time-consuming task 👉 Today: Gem-E automatically scores all Accounts AND Contacts based on signals & CRM data. The ABM Manager only needs to grab the first 600 accounts every quarter. (Check out Alexa Smythe's posts) - It was hard for Reps to stay consistent in doing research & personalizing outreach across hundreds of assigned accounts. 👉 Today: Gem-E creates new contacts, adds them into ABM sequences, AND drafts 3-7 personalized emails (using Signals & CRM data) for Reps to review. 𝗥𝗲𝘃𝗶𝘃𝗲 𝗖𝗹𝗼𝘀𝗲𝗱 𝗟𝗼𝘀𝘁: C/Lost is one of our highest conversion programs - But the nurture automation doesn't start until X months after C/Lost date -- even if there are Signals at the Account so we missed out on some buying windows. 👉 Today: Gem-E monitors all C/Lost Accounts for high-intent Signals (e.g. visiting website, new execs, past champions joining, etc.) --> Instantly add them into C/Lost Revive Sequence + drafts emails for Reps to review 𝗟𝗼𝘄-𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝘆 𝗔𝗰𝗰𝗼𝘂𝗻𝘁𝘀 𝘄𝗶𝘁𝗵 𝗦𝗶𝗴𝗻𝗮𝗹𝘀: - There were Accounts that show signals & intent but fell through the cracks but we simply did not have enough ADR capacity 👉 Today: Gem-E adds prospects in these Accounts to its Autopilot sequence + writes emails + sends completely on its own. -------- This "top-down", business outcome-first approach to AI adoption avoids fluffy metrics. Instead, your AI initiative is measured in pipeline, conversions and revenue. The same KPIs that we & our teams have always been measured & comp-ed on. This makes everyone top-to-bottom aligned and speaking the same language: 'Is this campaign driving revenue?' VS 'Is this tool saving us 3 hours a week?' Take this approach and you won't just generate more pipeline & revenue, but you'll also unlock more AI deployment budget. -------- Sources for the 2 stats: KPMG US AI Quarterly Pulse Survey & Gartner

Your dev team isn't an expense—it's your newest sales channel. Here's the truth: Traditional lead magnets (PDFs, guides, eBooks) are losing their edge. They often: - Collect digital dust. - Don't nurture leads effectively. - Result in minimal sales calls booked. The future? AI-driven, value-packed tools built by your dev team. Platforms like Replit, Lovable, and Cursor allow your devs to quickly create useful mini-tools that prospects actually want to use. Here's the playbook: 1. Ideate a Useful Tool: Solve a real problem. HubSpot mastered this early—offering free tools that drove massive growth. 2. Easy Build: Leverage simple, low-code tools (Lovable, Replit). No hardcore coding needed. 3. High-Intent Opt-in: Collect email, phone number, and company name to qualify leads better. 4. Automated Validation: Validate emails and phone numbers (Million Verifier API) to avoid chasing bad leads. 5. Lead Scoring & Segmentation: Push data into Clay to classify and filter leads intelligently—your sales team focuses only on high-quality opportunities. 6. Immediate Follow-Up: Trigger automated SDR outreach sequences (personalized emails, outbound calls). 7. Long-Term Nurturing: Enroll leads in a high-value nurture newsletter (Beehiiv) to keep your brand top-of-mind. We executed this with dream.leadbird.io: - Prospects input their website. - We instantly reveal ideal target contacts. - Demonstrates our process step-by-step, making our value crystal clear. The results? More qualified leads Higher SDR conversion rates A scalable marketing engine It's not marketing as usual. It's marketing driven by your dev team—and it's the future.

This automation turns one-time customers into repeat buyers. Here's the problem most businesses have: Someone books. Then they keep getting the same marketing emails as everyone else. "Book a tour!" — but they just did. It makes customers feel invisible. Like you only care about the sale, not the experience. Here's what we built for a city tour company: When a customer books a tour, the automation triggers. First, it removes them from all current nurturing workflows. No more "book now" emails to someone who already booked. Then it filters by tour type—bike or scooter. Several weeks after their tour, a personalized nurture sequence begins. If they booked a bike tour, they get emails acknowledging that experience and encouraging them to try a scooter tour next. If they booked a scooter tour, the opposite. Why this works: Personalized outreach massively outperforms generic emails. Existing customers already trust you—they just want a new experience. Our client already knew repeat bookings were higher when marketing new services to past customers. Now the system does it automatically. No manual tagging. No remembering who booked what. No hours spent managing email lists. And when they want to run promos to these segments? Smart lists and pre-built campaign templates are ready to go. One automation. Automatic removal, tagging, and personalized nurturing that would take hours to manage manually. This is what good ops looks like. Systems that make your customers feel seen—without adding work to your team.

1 in 2 interested leads in home improvement don't go ahead with the installation because of one reason.. Pricing These are people who want your product from your brand, but the price point doesn't work for them at the moment. The usual sales approach is to make it work; if not, move on to the next lead. These leads then sit in your CRM systems for years. We solved this for one of our clients by capturing and standardizing rejection reasons in lead disposition (feedback) data. Every lost sale gets a tagged rejection reason: pricing, timing, competitor, etc. Then, automated nurturing flows are triggered based on the rejection reason. In this case of rejection due to pricing, when a new offer launches, price changes, or a limited-time promotion goes live, outreach can be triggered automatically through email, text, or even AI agent support to these people and try to win them over. The real problem is that most companies never capture why a sale didn't close in any usable way. They measure how many leads convert into sales. Almost nobody is measuring why the others didn't. This is a goldmine, and if used well, you can create an always-on retargeting engine that improves conversion and maximizes lifetime value. 

5 proven ways to automate lead nurture and scale (without burning out): Scaling my business felt impossible until I automated it. Now I spend less time chasing leads and more time closing deals. I used to feel stuck: More leads = More work. More work = Less time. Less time = Slower growth. It was a never-ending cycle. Every new lead meant another follow-up. Another conversation to track. Another message to send. And the worst part? I was so busy managing leads, I didn’t have time to actually grow my business. That’s when I finally stopped doing everything manually. I set up 5 simple automation strategies and suddenly, growth became predictable. Here’s how you can do the same: 1) Smart CRM Implementation The key to scaling is knowing where every lead is in the process—without lifting a finger. • Automate lead tracking so no one slips through the cracks. • Assign leads to the right team members automatically based on behavior. You can cut response times by 50%+ with intelligent lead routing. 2) Strategic Email Nurture Most businesses send one follow-up email and call it a day. Instead: • Deploy behavior-triggered email sequences that keep leads engaged. • Personalize content based on how prospects interact with your brand. • Build trust over time instead of trying to close on the first touch. 3) LinkedIn Automation Scaling outreach doesn’t mean losing authenticity. • Use automated sequences to engage at scale (without sounding robotic). • Develop progressive nurture paths that guide leads naturally. • Focus on warm engagement, not just blasting connection requests. 4) LinkedIn DM Follow-Up Email alone won’t cut it. Sometimes, a timely LinkedIn message is the difference between a lost lead and a closed deal. • Trigger automated LinkedIn DM follow-ups to boost response rates. • Personalize messages based on prospect actions for higher conversions. • Keep leads warm and engaged without the need for manual outreach. 5) Intelligent Lead Scoring Not all leads are created equal. Why waste time on the wrong ones? • Use behavior-based scoring to focus on high-potential leads. • Keep warm leads engaged with automated nurture sequences. • Prioritize buyers, not tire kickers. If you’re drowning in lead follow-ups and struggling to keep up with outreach… You don’t have to do it alone. I help service providers and coaches automate their systems to drive predictable growth. Let’s chat Connor Bell And I’ll show you how to put these automation strategies to work in your business. Thanks for reading. Enjoyed this post? Follow me for more. And share it with your network.