Floqer 101: Lesson 2 - Best Practices

What You'll Learn:

🧪 Why starting with sample data saves you thousands in credits (and headaches)

💰 How to set up a proper R&D budget for workflow experimentation

⚡ Advanced techniques using AI prompt generators and 0-credit fields

🔑 How to leverage your existing API keys to maximize ROI 🎰 Conditional run strategies that cut runtime and credit waste

Key Takeaways:

✅ Always test on 20 accounts, not 2,000 - mistakes are cheaper at scale

✅ Dedicate 15-20% of your credits purely for R&D and testing 📊

✅ Use built-in tools like Data Formatter and Merge Lists to save credits 🍀

✅ Connect your Apollo, Hunter, Prospeo APIs to slash costs 🍄

✅ Implement conditional runs to avoid burning credits on bad-fit accounts 🎯