Marvin’s Post

How can you use AI to find customers faster? The answer lies in merging an excel like spreadsheet of all your customers data with an AI model that can interact with each data point. that is something that Clay is doing right now... I have been playing around with different AI prompts and this one is elite for financial analysts wanting to speed through financial reports for many companies. Here is a snippet:

🌟 AI Productivity Hacks: Your Digital Sidekick 🌟   🤖 Tired of drowning in emails and to-do lists? Fear not! AI can be your trusty sidekick. From smart scheduling to automated responses, let's unlock productivity like Tony Stark in the lab. 💼⚡   🌐 Resource Link: https://lnkd.in/gte3bqvP    🔮 What's your favorite AI tool for staying organized? Share your secret weapon! 📊

There's 3 levels to our new feature Smart Fill. Level 1: Doing a Drag fill. Nice, but all spreadsheets do it. Level 2: Smart Fill with AI. Just *shift+drag*, and Rows fills out your next rows! Product versions, cities, colors, you name it. If there's a sequence, it's likely that AI can figure it out. Level 3: Figuring out the next evolution in spreadsheets. (Excel.. Sheets.. Rows!). Eeheheh

Enrich and automatically fill table fields using Taskade's Automations! 📊 You can now update custom fields using web searches and AI. Watch the video and see how you can make work even easier! 🚀

"Can I find companies in ___ that are in the ___ industry using Hunter.io?" Yes, and it's finally possible to do so by asking this our new AI Assistant! 🤖 - Forget about manually adding filters - Just type prompts like "Hospitality companies with more than 50 employees in the US" - Receive immediate, accurate search results - Directly find emails and connect with the companies found Curious to see it in action? 👇

Thinking that you need something and actually needing the item are two different things. example, very, very very small percentage of sme customers will ever open your dashboard, to learn a thing or two, provided that dashboard is not the outcome they purchased! so why build it? i say it's serious waste of resources! 🎉 btw i copy-pasted this post to ai, image as below

It's Groundhog Day! And yes, this is relevant to predictive analytics. If you don't want your 2024 to be an unfortunate repeat of 2023...maybe it's time to really dive into AI implementation for your business. Avoid 6 more weeks of winter ❄️ ‎with 4 ways to overcome challenges you may face. Read the blog post now: https://lnkd.in/dQ__TmKD

Three quick sales call hacks 👇 Chris Orlob analyzed a million sales call recordings using AI, machine learning and a data science team. Here's what he found: ❶ The most successful sales people talk for 43% of their sales call. The least successful talk up to 70% - Talk less, Listen more. ❷ The most successful sales people ask between 11-14 questions per 30 min of call. The least successful are at 6-7 questions - Ask more questions. ❸ The most successful sales people evenly spread out questions across the call so it doesn't feel like an interrogation or checking off a list - Don't be robotic. #salescalls #saleshacks #SalesSuccess #LeadGeneration #SalesTraining

Actual footage of AI tools trying to deliver meaningful, data-driven insights 👇 💡 "Birthdate is positively correlated with customer_age" 💡 "Transaction_ID increases over time" 💡 "Total_Revenue increased 2.374% from April 7th to April 11th" AI tools like Copilot and Gemini are amazing at a lot of things, but seem to consistently fall short when it comes to deriving insights at a professional analyst level. Or is it just me?