#AnalyzeThatAd: Edition 1

Hey there! We're back with the second edition of Pint AI's newsletter, and this time with a bit of re-branding based on feedback from our readers.

Pint Pourings is now the name of our blog, and Analyze That Ad is the name of this weekly newsletter. Here's to hoping that this sticks for a while!

Let's jump in.

Spotlight: The 1,2,3 of Predictive Analytics

We've spoken to over 120+ media buying teams across the United States and Europe so far. And one recurring theme of interest that we saw was around predictive analytics.

Media buyers and performance marketers had an eye on exploring and incorporating some form of this into their operations, but weren't exactly sure about where to start.

By where to start, I mean where to start even thinking about what predictive analytics meant and what it could do for them, especially with the browsers soon to be cookie-less.

And that's where we started. In its essence, predictive analytics models forecast future customer behavior, based on interactions in the past.

So these models will look at, for example, how long a visitor — let's call him Johnny Bravo — is on a particular product page, their checkout history, their content engagement, and other first-party interactions.

Using this information, the models can then do a bunch of things, like:

1. Forecast how much value Johnny Bravo will bring over time
2. Segment customers like Johnny, with similar behaviors, together
3. Analyze Johnny's customer journey to streamline the buying process
4. Suggest products that they would be more likely to buy

And much, much more.

But let's be real. It's not easy to implement this kind of solution. There are lots of things to consider before making this decision. From how much time, budget and energy you want to invest, to the basic data requirements, it's not as simple as a buy-and-use solution.

So we're back at square one — where does one start? We've broken all this down in a short post here. Check it out and let us know what you think!

Updates from Pint AI

I just realized that in the previous newsletter, I never introduced our team! So, today I'll be introducing the brains behind Pint AI:

1. Swagam Dasgupta: Our co-founder, CEO, and our vault of big-brain energy. From the roots of three-body-problem to why books are rectangle, and not square, Swagam knows a lot about a lot. But still forgets a thing you've told him 2 minutes ago, only to think it was his own idea. You can follow him on Linkedin.

2. Ashish Jatav: Our Machine Learning and AI engineer, Ashish is as hard-working as they come. He's a man of few words, but those words are often the most important ones spoken in a room. He also has the unique ability of dissing you with just a couple of breaths. Solid guy.

3. Pankaj Jajoria: Our newest hire, Pankaj is our Backend Developer who has been in the industry for a while. He was part of the founding team that built Omneky, a Gen AI ads production platform.

4. Sourya Reddy: Yuppp...that's me (if a certain TikTok or Reel is playing in your head, then I've had the effect I wanted). I'm the second co-founder of Pint AI, and I look at all things marketing, outreach and bits of product along with Swagam. I've been a performance marketer for over 6 years now, and I guess my main job is to make sure the #ITcrowdofPint have the right roadmap and market validation for what they're building. I'll be posting regular updates on X from today, and you can follow me there to know what's happening on a daily basis.

And that's all for this edition! We'll be back next Monday with a new spotlight story and updates. If you want information on something in particular, do reply to this email with your idea, and we'll dig up something useful.

If you have any questions, or just want to talk, feel free to reach out to me at sourya.reddy@pint-ai.com!

Have a great week ahead!

Sourya Reddy
Co-founder, Pint AI