Timothy Davis

Always look at the data that's available to you within your analytics platforms and say, 'Users are already finding us here. How can we turn that knob up to 11?'

I'm a firm believer in hiring smart people and then getting out of their way. But each week having one-on-ones with them, just spot checking things.

Unfortunately, we've seen a lot in the news lately with a lot of tech companies letting go of some really talented people, and that is, I feel like just created bloated organizations.

I always say, where are your users? You will have some data that will allow you to understand that say right now, you're doing really well on TikTok.

All you're going to do is really annoy the users. Because, say, in the future they are, 'Hey, I'm still interested, but I don't want to use that product because I already tried.' It's like, 'No, no, you can totally use it now.' 'I already tried. I had a bad experience with them.'

Make sure you're not too hard on yourself if it doesn't work. It's okay to fail because we're either winning or we're learning.

All you're going to do is really annoy the users. Because, say, in the future they are, 'Hey, I'm still interested, but I don't want to use that product because I already tried.' It's like, 'No, no, you can totally use it now.' 'I already tried. I had a bad experience with them.'

It's not about showing as often as possible because that's what impression share tells you, and that's kind of like ego marketing. I want to be number one, I want to be there all the time. It's about showing to the right person as often as possible.

Agencies are a good place to get things started. Even when I was consulting, I would, honestly, I'm a big believer in forward thinking, backwards planning. So, if I'm taking this contract on with this new client, what's the end goal for you?

Signal not noise. So typically, whenever I hire people, I want to hire smart people and kind of get out of their way. But the biggest thing I want to focus on is what is your thought process when it comes to data?

Make sure you're not too hard on yourself if it doesn't work. It's okay to fail because we're either winning or we're learning.