Naufal Nugroho 🌊’s Post

I'll be showing live how I automatically send AI-personalized videos at scale to people who visit ColdIQ's website (In a couple of hours) And if you miss it, you'll have to wait at least 2 weeks to get your hands on the recording. The workflow goes like this: 1️⃣ RB2B identifies visitors on my website, and which page they were on. 2️⃣ Clay qualifies prospects, enriches them (with Prospeo) and writes some cheeky personalization 3️⃣ The data is sent to Ubique, through Zapier, which generates 100s of personalized videos based on: - which page visitors were on, as well as - prospects' first name and company name - the AI-personalized snippets written with OpenAI inside of Clay. 4️⃣ Smartlead then delivers my message to my prospects' inboxes. 5️⃣ BONUS: I also send them a LinkedIn connection request (using La Growth Machine or HeyReach) If this sounds remotely interesting. Tune in at 9 PM CEST! PS: This will also be your opportunity to see some other Clay experts' workflows (Josh Whitfield, David Lehnert, Jim Poe, Cody Carnes). I've seen some of their stuff, and these guys are brilliant. You really don't want to miss it.

One of the most foundational concepts in Machine Learning is the tradeoff between precision and recall. Interestingly, I’ve noticed the best GTM teams use this framework for their strategy on building outbound pipeline with signals. Here’s how it works: When a prospect of ours engages with content around “outbound dying” or “signals” on LinkedIn, it’s a strong sign of interest. Emails can convert at 10% positive reply rates, so Max will manually dig for this information because he knows they are much more likely to be a high quality opp and successful / happy customer. The problem is that not all prospects who are actively considering tools like Bluebirds are posting or engaging on these topics. Signal strength is high, but volume is low, so we we can’t build our entire company pipeline just off this signal. This is an example of a high precision, low recall signal. The flip side is the legendary “job change” signal. A simple but universal truth is that many products are bought when a new leader joins a company because they're shaking things up (it's literally their job). The data backs this up -- several GTM teams backtested their C/W deals and found 50%+ of their C/W opps happened after a key leadership job change. In our market, there’s a LOT of VP of Sales / Marketing / RevOps job changes. The problem is that this signal on an individual basis is fairly weak. Just because a VP of Sales is new to a company, doesn’t mean they have a pipeline coverage problem, are outbound-driven motions, or thinking about signals at all. As a result, the positive response rate is closer to 1%, but the volume is 10x-100x higher than other signals. This is an example of a low precision, high recall signal. Now, here’s the key insight the best teams have already figured out and operationalized: you need both. By blending both types of signals together, you have a high precision and high recall set of signals so that your reps are focused on the 5% of the market that’s will contribute to 90% of your C/W deals. This is exactly why we built Bluebirds as a platform for the full portfolio of signals, because we realized doing one signal (our first was customer job changes) wasn’t enough to move the needle drastically on quality pipeline.

I spent 300+ hours studying AI-sales so you don't have to. 👇 I'm giving away my top findings... It includes: → Clay tutorials → Strategy explainers → Cheatsheets → Tool recommendations Here are some teasers: → How to use AI to measure anything in sales and marketing → How to go from sales call to personalised proposal in 16 seconds. → How to use AI to create 48 posts in <2 mins → How to find 1000s of prospects in hard-to-find niches → How to create an end-to-end B2B sales funnel → How to make content that drives revenue (3-step guide) → How to use AI-agents to book 3-5 meetings per week → 350+ ChatGPT Prompts for Sales Much more ______________ 📌 If you’d like all of it: 1. LIKE this post 2. COMMENT “Navreo” 3. CONNECT with me. ______________ 🚨 Important: If you don’t connect with me LinkedIn won’t allow me to message you. And, if you message me directly without commenting I will likely miss your message. ______________ I'm Bjion Henry Click my name + follow 🔔 Book more calls with no extra hires. Pay only for booked meetings -- navreo.ai

I've received almost a dozen messages in the last month that went straight into a pitch about their AI widget/website/dashboard/critical business process I cannot live without... Do people really respond to this stuff? Here's a tip for those looking for prospects: Qualify. I'm not sure what part about "Coffee Snob" in my profile indicates that I'm interested in buying the LLM-of-the-week powered "compliance" solution, but I promise, I'm not buying it. If I wanted a compliance solution, I would have my engineers build it. If I wanted a new AI widget, I certainly wouldn't be asking for a tool built off of an AI that hallucinates more than a dolphin tripping on pufferfish. If you work for a company whose product needs to be sold (hint: this is all of them) then you'll have a much higher SQL rate by first identifying a target audience that's going to be receptive to the messaging. Once you identify them, don't lead with a pitch--lead with a question asking if it's a problem they have and a short statement about how your tool helps others like them (use real aggregate data here) so that they get some context to motivate them to actually talk to you. Once you have an engaged audience, then you can pitch a product. If you don't follow this, you're just acting like a modern Kirby salesman. Or worse, those orange based cleaning products. Even Billy Mays demonstrated value before entering his pitch. You can do the same.

𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐲𝐨𝐮𝐫 𝐞𝐦𝐚𝐢𝐥 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐞𝐬 𝐰𝐢𝐭𝐡𝐢𝐧 𝐡𝐚𝐥𝐟 𝐚𝐧 𝐡𝐨𝐮𝐫 𝐥𝐢𝐤𝐞 𝐧𝐞𝐯𝐞𝐫 𝐛𝐞𝐟𝐨𝐫𝐞.. Just hit "Run Once" and let the magic unfold: I use this exact automation system for managing all my email responses Here’s how it works: It starts by monitoring incoming emails using Gmail's "Watch Emails." The automation triggers a custom response powered by OpenAI. GPT analyzes the email content and generates the perfect reply in seconds. A short delay (Tools step) ensures everything runs smoothly. Finally, Gmail sends the AI-generated response back, all automatically! Imagine having your email responses handled instantly without lifting a finger! 💡 Well, that’s what this system does for you. 🏆 PS. Check out the demo below 👇 #Automation #AI #EmailAutomation #ProductivityHacks #AIAutomation #TimeSavingTips #WorkSmarter #GPT #Efficiency #TechSolutions #AIinBusiness #DigitalTransformation #WorkflowAutomation #OpenAI #SmartTech #BusinessAutomation #LinkedInTips #TechInnovation #FutureOfWork #AIpowered #Alphabase

This is the easiest way to scrape 1000s of leads from Apollo..... Honestly scraping leads from Apollo isn't hard but it's boring. That's why I've created a machine that scrapes 1000s of high-quality ready-to-buy leads in seconds. Here is the process: →Scrapes Apollo, gathering data from a targeted list of contacts or companies. →Extracts and cleans the scraped data into a readable JSON format, preparing it for further use. →Automatically organize the parsed lead data into a Google Sheets spreadsheet. →Uses GPT models (ChatGPT, GPT-3.5, GPT-4) to generate personalized outreach messages based on the scraped lead data. →The generated leads are added to a Lemlist campaign for automated email outreach and are ready for follow-up. Want the blueprint? Yeah, thought so. Here is how you can get it: 1. Follow & Connect with me, Jedd Talbot 2. Like & Comment "LEADS" below ♻️ | Like this kind of content hit the repost button and share with others in your network

Day 11 of #100DaysofAI 🧪 Today I learned how to scrape Data from any website using Browse AI. I am constantly scraping contact information from different websites as well as Google Maps for lead generation. I was however impressed by how easy it is to train a bot with Browse and also impressed with their extensive library of pre built website scraping robots which you can find here 👇 https://lnkd.in/eDCmqffb For today's exercise we had to extract CX Roles at Notion Career Page, I created a .csv file which I then uploaded turned into a Google Sheet Document.

One of my favourite use cases of AI is replacing manual research. In the video I walk through how use Clay to perform research for you at scale (and cheaply). In this example a subscriber I'm looking at a list of companies and trying to determine if they offer a free trial. Finding this data manually is time-consuming and frustrating, but Clay's Claygent can help you automate it, saving you tons of time and effort. Step by step: 1. Start by adding your list of company domains into Clay. 2. Set up the Claygent prompt to determine if they offer a free trial. 3. Connect to your own OpenAI API key 4. Check a few initial results to make sure everything looks right. 5. Once you’re ready, run the entire sheet to get all your results. I'll share the template with the prompt in the first comment. -- DM me if you need help with the below... 🏃 Achieving better results, faster, from your outbound campaigns with 1:1 Prospecting Coaching 🔐 Unlocking a consistent stream of clients and revenue — no fluff, just proven strategies with The Generating Pipeline Vault #pipeline #salesprospecting #b2bsales

Lot of people share super cool usecase of clay.com My favorite and most used feature is the free internet search using clayagent (with your own api key). Imagine, no more need for crawling or scraping websites before passing to AI models, and it's free. It almost feels like cheating Google! 🙂 What is your favorite clay feature? Let me know in the comments.

🚀 Thrilled to announce my latest AI project! I’ve successfully developed an end-to-end Generative AI tool called Cold Email Generator 📨✨, which leverages the power of LLMs to help Software and AI services companies craft professional, highly-targeted cold emails for potential clients. 🔍 What’s exciting? I tested this tool with job descriptions from leading companies like Google, Amazon, and others 🌟 to ensure its versatility and effectiveness. The results have been phenomenal in showcasing personalized portfolio capabilities tailored to specific client needs. 🔑 Key Features: 🤖 Powered by Llama3.1 (open-source LLM) for precise email crafting. 📚 Employs ChromaDB as a vector store for retrieving relevant project data. 🛠️ Seamlessly orchestrated using LangChain for enhanced workflows. 💻 Built on Streamlit to deliver an intuitive and interactive interface. 💡 How it works: 1️⃣ Accepts job descriptions from potential clients. 2️⃣ Identifies and matches the most relevant projects from the company’s portfolio. 3️⃣ Crafts a compelling, personalized cold email showcasing expertise and value. ✨ With this tool, companies can: ⏳ Save time and effort in client outreach. 💼 Enhance communication with potential clients. 📈 Boost efficiency and conversion rates. I’m incredibly proud of this achievement and the tool’s potential to redefine outreach in the Software & AI services industry. The testing phase has proven its adaptability across industries and companies of various scales. Would love to hear your thoughts or connect with anyone interested in exploring this further! 😊 #AIInnovation #GenerativeAI #LLMs #ColdEmail #ChromaDB #LangChain #Streamlit #BusinessGrowth #TechInnovation #OpenSource