Suggestions
Warren Kucker
Highlights
99% of founders and early stage sales leaders spend way too little time on this one activity.
And it took me 8 long years to learn this lesson
They don't spend enough time truly understanding their key buyer personas.
So here's how I would do it if I was starting a company again.
• Step 1: At which company?
Get really narrow with company key attributes of who NEEDS your software. Pick 2 profiles and test.
Do the math - At my average contract value, how many companies do I truly need to speak with to get to $1m in ARR?
• Step 2: Who at those companies has solving this problem as a Top 2 priority
If the answer is no one has it as a Top 2 priority, you might need to go back to the whiteboard and re-engineer the product idea.
The world is too complex, people only have the mental bandwidth to solve their most pressing problems.
• Step 3: Conduct interviews
If you have customers, great! Ask them for 30 minutes of their time and dive into what business, team, and personal outcomes they are looking for in their role. Kristin Katchan has a great customer interview framework.
If you don't have enough customers in this persona, use your network to get to execs that might match their personas.
• Step 4: Continuously Iterate
Every single prospect call is an opportunity to evolve your persona/messaging. This is the hardest part. Sales teams who build a persona profile and then put it down are missing out on a wealth of key data.
TL;DR - Truly understanding the business outcomes of your buyer personas is the cement of the foundation of every good company. The time spent on this should equal the importance of it.
I've worked in different parts of the supply chain until I recently moved into dental tech and each sector I've been in said the same thing...
That they are technologically behind every other industry.
But each one shared common characteristics:
- They relied on pen and paper for way too long
- They ran their business in spreadsheets and email
- Their key systems ran on servers located in a room somewhere in the office
And each industry aspired to do the same things:
- Digitalize, not to automate processes, but to provide a better customer experience
- Grow, but they were hindered by systems
- Be secure, but didn't have the infrastructure to properly protect data.
What this means - no industry is particularly ahead or behind. The technology available (like cloud then and AI now) often times takes decades to properly spread across enterprise and by the time it does - you're already feeling like you're behind.
