Automated Funnel Solutions

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've been thinking a lot about brand expansion lately, and Carnivore Snax's transformation with FERMÀT really captures why I'm so passionate about intelligent AI funnels. I was struck by something paradoxical: here's a brand with 110k+ five-star reviews and Joe Rogan calling them his "favorite snack," yet they were hitting the same growth ceiling I've seen countless times. Their challenge is one that I see brands struggle with often: how do you expand beyond your core audience while maintaining the conversion excellence that got you here? Here's how we helped them leverage FERMÀT to unlock new growth vectors: 1. Demographic Expansion Engineering → Created targeted funnels for protein-conscious female consumers → Integrated demographic-specific UGC and testimonials → Built personalized messaging that resonated with new segments 2. Narrative Consistency Architecture → Built perfect ad-to-cart storytelling alignment → Matched creative elements (like featuring bearded gentlemen consistently) → Maintained brand authenticity across all touchpoints 3. New-Customer Acquisition Engineering → Developed exclusive offers for paid ad acquisitions → Created specialized funnels that protected main store experience → Enabled rapid acquisition strategy testing 4. Channel-Specific Optimization → Developed simplified TikTok-optimized shopping experiences → Engineered curated product selections in grid format → Created streamlined paths to purchase What excites me most is how quickly the team embraced experimentation. In just 5 months, they launched 18 new funnels, using AI-driven insights to iterate and refine at scale. The results are incredible: • Their new buyer persona funnels hit 5.96% CVR (I had to double-check this number when I first saw it) • 72% lift in CVR • 43% boost in RPS When we talked to Mark Ritz, the co-founder, he shared something that stuck with me: "In my nine years in e-commerce, creating effective landing pages has been one of the toughest challenges... FERMÀT has completely solved this for us." This validates something I've observed repeatedly in my work with DTC brands: sustainable growth isn't about choosing between new audiences OR core customers - it's about building the infrastructure to serve both exceptionally well.

Built an AI system over a weekend that now runs my M&A deal pipeline research automatically. The problem: When a new company hits our tracker (often just a name or domain), I had to manually research it - funding history, employee count, investors, whether it's even a potential acquisition target. I had a handful of automations to help enrich records, but they were fragile. Multiply that by a few thousand companies and it's a lot of tabs and copy-paste. The solution: I wired up Claude's Agent SDK to do the research autonomously. Not a simple "send prompt, get response" API call - this loops until it's done. Web search, check the result, search again, cross-reference sources, write to Airtable. It even catches inconsistencies ("your notes say 6 employees but Crunchbase says 5-10, yours looks better sourced, I'll use 6"). What it does: - New company added → Claude researches it, fills basic info, classifies as Target/Investor/Advisor - Target identified → deep research kicks in automatically (funding, investors, logos, Crunchbase links) - Scheduled refreshes catch funding rounds or acquisitions we might've missed - Daily digest email summarizing what changed The wild part: I set this up in a weekend, half that time watching TV or wrangling kids while chatting with Claude Code. Hundreds of lines of code and way better than most enrichment tools I've played with and I wrote none of it. Cost caveat: This is crazy expensive per-record - not something you'd run at scale if you had a sales funnel with millions of opportunities. But for a curated deal pipeline? LFG

Let AI Qualify. Let Humans Close. Most sales organizations today are over-relying on headcount and outdated funnels. Leads get dumped into CRMs, sales reps grind through outreach, and conversion rates remain stubbornly low. We believe the real breakthrough lies at the top of the funnel — where AI doesn’t just assist, but leads. We’ve reimagined the sales process for clients by letting AI take the first steps: engaging, enriching, and initiating conversations. Flipping the Funnel: 3 Key Changes Using our agent store, we’ve introduced three deliberate upgrades to the traditional lead generation model: 1) Proactive Conversational Bots Instead of passive “Let us know how we can help” chat windows, we deploy AI chat interfaces that initiate the interaction. These bots engage site visitors with intent-driven questions, qualify interest, and populate structured CRM records — without human involvement. -Higher engagement -Richer data capture -Lower drop-off rates 2) Real-Time Context from Market Eye Agents Every inbound lead is enriched instantly using our Market Eye agents, which pull live firmographics, technographics, and behavioral signals from a variety of public sources to add more context so that the right offer can be targeted This transforms each inbound or conversational lead into a full profile — with buyer readiness indicators baked in. 3) Intelligent Outreach Agents Our Outreach Agents then follow up using tailored sequences informed by the context above with appropriate personalization Email, LinkedIn, or SMS — the channel is dynamic, the message is personal, and the goal is clear: drive meetings. We track this with a simple, high-impact metric: number of meetings setup per 100 leads And it’s consistently outperforming traditional sales outreach model by a margin. Why This Matters Beyond the Funnel: This isn’t just about conversion rates today. Every interaction captured through this AI-led system becomes first-party data — structured, contextual, and ethically owned. This data is the foundation for future machine learning models that can score intent, predict close likelihood, and optimize sales motion across the board. Sales doesn’t need more tools layered onto broken processes. It needs a new architecture — one where AI leads at the top, qualifies with intelligence, and hands off to humans only when it counts.

Old sales funnels: - Choose any CRM tool you can afford - Create a landing page and throw in a CTA - Run Facebook Ads and drive traffic to your landing page - Follow up with cold email sequences New sales funnels: - Understand your target audience’s pain points - Map out a customer journey that solves their problem - Choose the right funnel platform (GoHighLevel, ClickFunnels) - Create a compelling lead magnet that speaks to their needs - Optimize your landing page for conversions with clear messaging - Use personalized traffic acquisition (Facebook Ads, Google Ads) - Retarget engaged users with relevant content to build trust - Set up automated email sequences to nurture leads - Use scarcity and urgency in your offers to drive action - Segment your leads to personalize follow-up content - Analyze your funnel’s performance weekly - Optimize based on data (bounce rates, conversions, etc.) - Automate the whole process to run on autopilot Do new sales funnels in 2024. From driving traffic to nurturing leads: ✅ Predictable client acquisition ✅ More time for high-value work ✅ Scalable systems that grow with your business

Maximizing website conversion: AI automation or human touch? Here’s what we found in the data. Demand Generation teams spend heavily to move buyers through the funnel, from awareness to interest to conversion. Most of this happens in the 'dark funnel' (pre-form fill) but one of the clearest late-funnel signals we can actually see is website activity, especially on high-intent pages like pricing. So the question is: can AI and automation convert more of these visitors into pipeline, or does human touch still perform better? We tested this with a B2B SaaS company that gets about 10,000 website visitors a month. Roughly 1% convert via form fill. The other 99% remain invisible unless acted upon. Human-led workflow: Each revealed visitor triggered a Slack alert to reps. They used LinkedIn, ZoomInfo, and Outreach to find contacts and send emails. This reached about 20% of ICP accounts. AI workflow: AI qualified ICP fit, sourced Director and VP-level titles (up to five per company), and placed them directly into a pre-written outbound sequence. This engaged nearly 100% of ICP accounts. The results: conversion rates held steady at 1%, but automation created more opportunities simply by increasing coverage. Humans generated 64 opportunities. Automation generated 79. With the same ACV and close rate applied, automation produced an additional $792K in closed revenue annually. What should marketers take away from this? 1) Speed to lead (or speed to signal) matters more than personalization here. Systems react faster and more consistently than people. 2) Website intent signals are among the most reliable triggers you have—capitalize on them to improve the return on your marketing spend. 3) While personalization is critical in other parts of the funnel, high-intent conversion is not one of them.

Miss the dark funnel, miss the deal. Your next million-dollar deal is hiding in the dark funnel. Right now, buyers are making decisions you’ll never see in your CRM, and by the time they fill out a form or click an ad, it’s too late. The “dark funnel” is where 80%+ of the buying journey happens: Private Slack channels Industry podcasts Niche publications Signals buried in public data you’re not tracking Reddit and other online community chatter ZoomInfo, 6sense, Bombora? Great tools, but they’re giving your competitors the exact same signals you get. News mentions. Funding rounds. New hires. The real advantage comes from AI-powered automations that surface hidden intent signals even veteran ZoomInfo users miss, and act on them instantly. Here are 5 dark funnel signals you can start automating this week for a massive competitive edge: 1. Tech Stack Drift Spot when tools are removed or downgraded. Example: A marketing automation platform disappears from a target account → AI triggers a competitive takeover sequence within hours. 2. Micro-Signal Correlation AI stitches together tiny signals into high-confidence intent. Example: Multiple employees add “Kubernetes” to LinkedIn skills A job post calls for “K8s automation”. GitHub commits spike in a related repo → Your automation flags a containerization project before it’s public. 3. Regulatory or Compliance Triggers AI monitors gov/regulatory feeds and compliance changes that force urgent purchases. Example: A healthcare company hires a HIPAA compliance officer AND a new CMS rule drops → ABM sequence launches the same day. 4. Vendor Churn in Job Descriptions Certifications vanish from postings → contract may be ending. Example: “Salesforce Admin” disappears from multiple postings → CRM migration play triggered automatically. 5. Procurement Breadcrumbs Scrape public bid announcements and vendor qualification requests. Example: An RFP appears in a small regional portal → AI routes it to sales before competitors spot it. Why this matters: These signals are invisible to most intent platforms. LLMs + n8n + Clay.com + public APIs make them easy to track and act on. Orgs doing this get months of lead time and win before the competition wakes up. Many of these workflows take less than a week to build. The dark funnel isn’t a black box. It’s just data you’re not collecting… yet. What’s the one hidden buying signal you wish you could track tomorrow? Follow me, Ronan Keane for AI and marketing updates.

Building a 2026 Sales Tech Stack: 4 Top AI Tools to Scale Your #Pipeline 🚀 If you are expanding your #B2B sales operations, adding more headcount is no longer the most efficient way to scale revenue. The focus has shifted to specialized AI agents that automate specific stages of the sales funnel. Here are 4 specific AI sales platforms you should evaluate for your stack right now, sorted by their core functionality: 1️⃣ CloudTalk — The leader in AI-powered voice operations and conversation intelligence. It automates live calling workflows, provides smart auto-dialing, and leverages AI to transcribe calls and generate instant post-call summaries directly into your CRM. 2️⃣ Artisan (Ava) — An autonomous AI SDR platform for top-of-funnel operations. It completely automates the prospecting stage by finding B2B leads, researching accounts, and launching automated outbound email sequences without human intervention. 3️⃣ Regie.ai — A specialized platform focused on AI-driven content generation. It analyzes buyer intent data to automatically draft highly personalized, multi-channel outreach sequences tailored to specific customer personas. 4️⃣ Salesmotion — A niche platform designed for inbound lead routing and intent scoring. It uses AI agents to track account signals across the web and alerts your reps the moment a high-value prospect shows buying intent. The Strategy: Use tools like Artisan and Regie.ai to automate the tedious prospecting and text-based outreach. But when it’s time to pick up the phone and close the deal, CloudTalk ensures your outbound sales reps have the AI infrastructure needed to maximize conversion rates. Which of these AI capabilities is currently missing from your #sales stack?

Holy sh*t 🤯 an AI SDR just built an inbound workflow for me in minutes. No engineers. No scripts. No workflow headaches. Just a few prompts and the system assembled itself. Here’s what it did automatically: Identified anonymous visitors and mapped them to ICP accounts Enriched every lead with fresh, multi-source data Qualified them using behavior + intent signals Routed hot buyers directly to the right rep Triggered instant outreach when someone showed sales intent Synced everything into HubSpot with zero manual touch Followed up and nurtured leads intelligently Operated 24/7 across email + LinkedIn + website events All without me touching a workflow builder. The wild part? I only provided: My tracking pixel CRM access ICP rules A few prompts for how I want follow-ups written Basic routing preferences The AI SDR handled the rest - like a RevOps analyst + SDR + automation engineer in one system. And here’s the real unlock: It doesn’t just react to leads. It predicts who’s likely to convert next using: • Website intent • Social engagement • Account activity • Historical conversion patterns • Time-of-day responsiveness • Behavioral clustering Meaning your inbound funnel runs itself - cleaner, faster, smarter. I documented the exact 8-step inbound workflow you can replicate with any modern AI SDR setup (Clay + Smartlead + HubSpot + n8n, or whatever stack you use).

the traditional funnel is failing hard: - 80% of inbound leads go untouched - response times still exceed 24 hours - marketing hands off leads and loses all visibility marketers don’t need more leads. they need more pipeline from the leads they already have. we’re still running GTM with tools built for a pre-digital world. meanwhile, today’s buyers move faster, expect more, and disappear when we don’t keep up. that’s why more GTM teams are shifting toward something new: Agentic Marketing 🤝 it’s a full re-architecture of the funnel, powered by intelligent agents that: - qualify leads in real time - book meetings while you sleep - engage across chat, email, and forms 24/7 - plug into your GTM stack with zero blind spots and the results are hard to ignore. 1. Greenhouse achieved a 60% conversion rate on inbound chat and booked 130% more meetings quarter-over-quarter. 2. Crunchbase scaled to 67,000 AI-driven conversations, tripled meetings booked, and doubled MQLs. 3. Demandbase: Doubled pipeline sourced and meetings booked, while saving $80K in headcount. the takeaway: agentic funnels are leaner, smarter, and faster. and they’re already outperforming traditional models at every stage. see the core shifts in the funnel and what modern GTM should look like today. love, sangram