Back in 2022 I worked on various prospect personas, described in Word documents. Although I feel that personas are overrated, they do serve a purpose.
In those days, to use the persona you would have to read the Word document and evaluate your content against what you just read.
It’s different today with generative AI.
I spent Tuesday evening writing a persona specification for “Mary the Marketing Leader,” the persona for Bredemarket’s chief prospect. This is something I would enter into Google Gemini as a prompt. “Mary” would then ask me questions, and I would ask her questions in turn.
As of December 23 (yeah, this is a scheduled post), the persona specification has 30 bullets arranged into four sections: role, context, tone and constraints.
And no, I’m not going to share it with you.
One reason is that I don’t want to share my insights with my product marketing expert competitors. This is pretty much a Bredemarket trade secret.
The other reason is that some of my bullets are brutally honest about Mary, and even though she’s fake, she still might take offense about the things I say about her. One example:
“When working with product marketing and other consultants, Mary sometimes takes a week to provide feedback on content drafts because higher priority tasks and emergencies must be handled first.”
Such comments are all through the specification, so you’re not gonna see it.
But maybe you’ll see the benefits of this specification and use the persona, tweak it, and use it again.
For example, I’ve already learned that my 30 years of identity experience can resonate with MY prospects, as can my statement “I ask, then I act.”
Now I just have to recast Bredebot as a persona specification. That will help me immensely.
Bredemarket 