How well do you really know your customer? In this hands-on workshop, market research firm KNow Research and buyer psychology strategist Katie Read reveal how AI can bring customer data to life in daily decisions. You'll leave with a fresh look at your buyers and a smarter way to apply insights across teams. Join us for this high-impact, women-led workshop where buyer psychology and AI create living, breathing personas your whole team can use.
What is buyer psychology? It's the science of understanding the unconscious drivers behind purchase decisions — the emotions, biases, and mental shortcuts that actually influence buying behavior. Unlike traditional demographics, buyer psychology reveals the "why" behind customer actions, giving you insight into over future behavior. Learn more about buyer psychology fundamentals:
https://15.buyerpsych.com/optin
You'll learn:
⭐ How consumer insights is evolving beyond static deliverables
⭐ How to turn customer psychology into usable intelligence
⭐ How AI can help brand, insight, and creative teams stay aligned
⭐ Real-world applications of psychological triggers in marketing strategy
We're also thrilled to feature a special guest from local brand Every Man Jack - a wellness-focused men's personal care brand - to provide a firsthand testimonial about how interacting with key buyer personas sharpens their messaging and strengthens the connection with their core audience.
This event is ideal for marketing leaders, brand strategists, insight professionals, and founders who want to work smarter with the data they already have.
https://partnerships.indikater.com/knowresearch
https://www.youtube.com/watch?v=ubOT40iegPc&t=141s
🎟️ Space is limited. Whether you're ready to implement AI-powered personas or want to stay ahead of industry trends, this is your chance to engage with brand strategists, marketing innovators, and a community that's redefining customer understanding.
This event is a part of #SFTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem.
Learn more at www.tech-week.com.
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48 Went · 31 Didn't Go · 3 Maybe
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