Kristin Tynski
speaker
493 appearances
3 recordings
1 series
first heard Mar 2026
last heard 26 Mar
Kristin Tynski’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 3 in all, peaking in Mar 2026 with 3.
Appearances
Yeah.
Um for now I think
it's not a really very useful activity and you're much you're much better off spending your time, I think
thinking critically about um your customer personas and how to serve them best and what your brand really is and defining it in a in a very specific, well um defined way with clear outer edges.
Yeah.
I I think that will actually become mu a a big much bigger focus of marketing will be will be consumer research and and profiling different individual personas.
Um
That's how you will get a
a greater understanding of whether or not your brand actually fully addresses this like the the search surface by understanding all of the potential personas in a really deep way, what their each of their needs are in a really deep way.
And then whether or not your content and your service offering aligns with all of those things holistically.
I actually think they become much more useful than they currently are.
Um, and it's it's for that same reason that it's it's about understanding not just like what a brand is good at, but what they don't do or what they can't do or who they don't serve.
Um so instead of like a really rough generic three out of five stars, you understand instead it's five out of five for this part of the consumer base and one out of five for this other part.
So everyone that got stuck in the three out of five middle because they
were great for some and horrible for others, now can be the five star thing that they were always meant to be because they're serving their real audience.
So
I think, yeah, reviews become much more important with the caveat that they need to be trusted.
So like this again becomes, I think, maybe a decision of the model creators where they're deciding what they use in their training sets, or maybe even AIs dis that are deciding whether or not to include things in their initial training sets.
Um
or developed over time a the heuristics of a model to understand whether or not something is trustworthy or not.
Showing 461–480 of 493 · page 24 of 25
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