Episode 14 of The Agentic Project is out! ☄️ This time we talked to Arnau Ayerbe García, Founder of throxy (yc x25). Very practical insights for anyone using AI in outbound sales: 🎯 Biggest mistake when using AI in sales? Focusing on hyper-personalized messages before perfecting your Ideal Customer Profile (ICP). Generic message to the right person >>> Fancy AI message to the wrong one. 🤖 How will AI change sales teams? The traditional SDR role will either evolve to carry much higher quotas or merge into a full-cycle Account Executive (AE) role. Instead of scaling with a large team of SDRs, companies will scale with AI agents supervised by a few product/ops experts. 🔥 KEY INSIGHT? Think of signals as a tool and use them when they're relevant. Use AI for Advanced Targeting and Signals. AI agents can crawl data sources and disqualify companies based on specific parameters. They can monitor the digital footprint of target companies (e.g., social media, job postings, websites) for "buying signals," allowing you to time your outreach for maximum impact. Link to the episode: Youtube: https://lnkd.in/dwXS32Hd Spotify: https://lnkd.in/dJHa4K_z

🤖 **AI Automations - Day 213/365** 🚀 **How AI is Automating Lead Generation** AI is boosting business growth by: ✅ Identifying high-quality leads with AI-powered insights. ✅ Automating outreach for faster connections. ✅ Personalizing lead engagement to improve conversions. AI is making lead generation smarter, faster, and more efficient! 📈💡 📌 *This post was created by AI.* 🔗 *Check the link in bio.* #AIAutomation #LeadGeneration #AIForBusiness #WorkSmarter

AI is transforming lead qualification by making it faster, more accurate, and scalable. It allows businesses to focus on high-quality leads, improve lead generation, and make data-driven decisions. #chatbot #ai #artificialintelligence #chatbotmarketing #machinelearning #digitalmarketing #customerservice

Your top sales rep can now be duplicated across your entire team. Most companies still treat AI sales tools as assistants. The real breakthrough is in performance replication. 👉 Pattern Recognition: AI analyzes thousands of sales calls to identify exactly what your top 1% of reps do differently - from specific language patterns to objection handling techniques. 👉 Behavioral Cloning: These winning approaches are transformed into personalized coaching for every rep, with real-time prompts during live calls. 👉 Continuous Optimization: Unlike static training, AI identifies which techniques work best for specific buyer personas and industries, creating compound improvements. Real results from companies using AI performance replication: • 30-40% higher conversion rates without hiring new talent • Sales cycles reduced by up to 30% • 83% of teams report revenue growth vs. 66% without AI • 10x faster lead processing speed The counterintuitive truth: Your sales training budget is being wasted if you're not using AI to extract, replicate and scale what already works. Question: What's the ONE selling behavior your top performer has that you wish you could clone across your entire team? Comment below — I'll suggest an AI approach to replicate it.

AI is reshaping B2B sales, from smarter prospecting to hyper-personalized engagement. The future isn’t man vs. machine, it’s AI + human. Are your sales teams ready? #B2BSales #AI #Personalization #demandmediabpm #bestplacetowork

7 AI outreach workflows that book calls while you sleep. Manual outreach is outdated. Most founders spend hours chasing replies. AI now does it faster, smarter, and more personally. 1. AI finds your ICP on LinkedIn while you focus on sales calls. 2. Personalized message sequences that sound human, not robotic. 3. Smart timing: AI learns when prospects reply most. 4. Auto-sends follow-ups until they respond or book. 5. Real-time CRM sync so no lead slips through. 6. Email and LinkedIn multi-channel logic that adapts. 7. Performance dashboard that shows booked calls per workflow. You can sleep while your pipeline works. You can scale without the spam. And you can close more without adding headcount. Follow Raj Singh for more AI sales workflows, reshare if useful. ♻️

AI is transforming how we approach lead qualification and sales cycles. 🚀 Implementing AI solutions can drastically reduce the time spent on sifting through potential leads and significantly shorten your sales cycle by: 1. **Automated Lead Scoring**: AI algorithms analyze lead behaviors and characteristics to automatically score leads based on their likelihood to convert. This focuses sales efforts on the most promising opportunities. 2. **Enhanced Data Analysis**: Machine learning can identify trends in customer data, providing insights into effective messaging and optimal channels for engagement. With AI, you can prioritize leads that align with your ideal customer profile. 3. **Streamlined Communication**: AI-driven chatbots handle initial queries and gather essential information from leads, allowing your sales team to engage more meaningfully with prospects. This reduces response time and elevates the customer experience. 4. **Predictive Analytics**: AI helps forecast sales trends by analyzing historical sales data and current market conditions. This enables teams to adapt strategies proactively and adjust workloads efficiently. 5. **Continuous Learning and Adaptation**: AI systems improve over time, constantly refining their understanding of what makes a lead likely to convert, driving a cycle of improvement in lead generation and qualification processes. The integration of AI into the sales process translates not only to improved efficiency but also to enhanced conversion rates and team performance. Embrace AI to unlock your sales potential! How are you leveraging AI in your sales strategies? Share your insights below! 💬 #SalesStrategy #LeadQualification #ArtificialIntelligence #SalesCycle #DataDrivenSales #MachineLearning #ITLeadership #FullStackDevelopment

Last night I had the VERY cool opportunity to be on a panel about AI and GTM. When asked about the biggest blocker to AI adoption, I didn’t talk about budgets or tools. I said: “It’s fear.” The social-political environment is so volatile that people are terrified for their jobs. That fear makes folks less open to learning, less willing to collaborate. And nobody is talking about it. Follow up question: “AI is creating more jobs and opportunities, not taking them, right?” I paused. Took a breath. “But they already are.” Jaws dropped. 😬 But I meant it. The SDR role as we know it? Extinct. Customer Success? Just look at Salesforce laying off thousands and replacing with AI. Later, a senior sales leader asked: “What do you see as the future of sales as a profession?” I told the truth: “I don’t know. And that’s what’s scary.” For leaders like us, AI feels exciting — a tool to amplify impact. But for many, AI isn’t just a tool FOR their job. It’s the thing that TAKES their job. In fact, lots of the tools we’re buying have us actually training the tech to do our jobs. We’re actively replacing ourselves in real time. If you want to toss and turn for a few nights, give Clark Barron’s Burn it Down podcast episode “Faust” a listen. If we want adoption, trust, and innovation, we can’t bypass the human impact. We need to acknowledge fear, create safety, and build pathways so people can lean in and co-create what’s next. MUCH easier said than done. ⸻ 💡 I’d love to hear your take: If AI really does erase some of the roles we’ve relied on for decades… what new kinds of roles and career paths do you imagine rising in their place?

What Should an AI Employee Be Like? What is currently being done "quickly and cheaply" is most often not full-fledged AI salespeople, but rather lead managers. They work based on pre-programmed prompts. If this prompt is huge (entire website + knowledge base + scenarios), then yes — the bot "knows everything", but its cost becomes very high. So what should be done? It's better to create different AI employees for different funnel stages: - simple and fast for qualification; - smart and thorough for negotiations; - lightweight and friendly for retention. 💡 You don't need a "super-bot for everything at once". You need specialists for specific tasks — this approach is more effective and cost-efficient. #AIinSales #AIEmployees #CRMwithAI #SalesAutomation #AIMarketing #LeadGeneration #SalesFunnel #DigitalTransformation

What Should an AI Employee Be Like? What is currently being done "quickly and cheaply" is most often not full-fledged AI salespeople, but rather lead managers. They work based on pre-programmed prompts. If this prompt is huge (entire website + knowledge base + scenarios), then yes — the bot "knows everything", but its cost becomes very high. So what should be done? It's better to create different AI employees for different funnel stages: - simple and fast for qualification; - smart and thorough for negotiations; - lightweight and friendly for retention. 💡 You don't need a "super-bot for everything at once". You need specialists for specific tasks — this approach is more effective and cost-efficient. #AIinSales #AIEmployees #CRMwithAI #SalesAutomation #AIMarketing #LeadGeneration #SalesFunnel #DigitalTransformation