Before founding https://t.co/oQq1WyO8LB, I led AI products at @amazon & @awscloud for 4+ years.
Spent countless hours obsessing over how to make shopping more intuitive and valuable for millions of customers.
One insight always stuck: The magic happens after the purchase. 🛍️📷
💡 How Do I… make money from my thank you page?
Most D2C brands waste their Thank You Page.
We turn it into a profit center. 💥
Had a blast talking with Matt Putra about how every checkout can spark repeat purchases, new revenue, and stronger loyalty.
That’s the mission at @Pier39AI
Catch the full podcast here 👇
Captivate Episode: https://t.co/F6CiXxqj8i
Apple Podcasts: https://t.co/3TMZ5hJwp8
Spotify: https://t.co/xlM6RBHt7Z
Youtube Video: https://t.co/7QtjupFdg5
Case Study Alert 🚨
How https://t.co/EbZgkGaER2 transformed their post-purchase with us!
+47% revenue per transaction vs the incumbent
183% month-over-month growth in repeat customers redeeming store credits
100% traffic switch in hours
We built an AI feature for 3 months.
Nobody asked for it.
In fact, when we pitched it to our partners, they said: "That's cool, but do we really need it?"
Now it's our most valuable feature.
Here's what happened:
BEFORE: We were manually uploading a few versions of ad creatives for each advertiser. Static approach, a few versions, A/B test, see which ones perform better and double down. Like most Ad platforms do.
Then someone on the team said: "What if we generated different versions for different people?" Not A/B testing or "headline swap" different. Actually different.
Same offer. Different persona. Different creative. Different messaging.
e.g., A sports fan sees a Paramount+ ad about live sports. A parent sees a Paramount+ ad about kids' content. A foodie sees a Paramount+ ad about cooking shows. All with messaging that resonate with THEM!
We built it.
Tested it against our standard creatives.
19% performance improvement!
Wait. We weren't expecting THAT much lift.
So we dug deeper to understand why.
The AI wasn't just swapping images and copy based on personas we defined.
It was discovering MESSAGE-TO-PERSONA patterns we hadn't explicitly programmed.
Athleisure buyers?
Urgency-driven messaging outperformed by 2.3x.
Home goods buyers?
Value framing converted better.
Certain beauty product buyers?
Social proof worked way better.
We knew personas mattered.
We didn't know the CREATIVE + MESSAGING patterns would be this distinct.
The AI found signal in the noise at a scale we couldn't manually test.
Across millions of impressions, thousands of variations, dozens of personas, it learned what works for who.
So here is my conclusion:
The best AI features aren't the ones customers ask for.
They're the ones that solve problems customers didn't know they had.
Nobody asked for "persona-matched generative ad creative." from us.
They asked for "better performance."
We just used AI to get there in a way they didn't expect.
Now when we pitch, we don't lead with "we use AI."
We lead with "we improve performance by 19%."
The AI is how. The performance is why.
DEMO of Persona-Matched Ad Creatives coming soon 🚀 https://t.co/NX6HdgWrHd
Before founding https://t.co/oQq1WyO8LB, I led AI products at @amazon & @awscloud for 4+ years.
Spent countless hours obsessing over how to make shopping more intuitive and valuable for millions of customers.
One insight always stuck: The magic happens after the purchase. 🛍️📷
https://t.co/iezcAn55IJ is me applying everything I've learned to reimagine the "Thank you" screen.
Excited for what's next, and grateful for the journey from AWS to here.
🚀Get ready to launch in Web3! Join us on September 5th at 18:00 CET for an expert-led session covering everything you need to know: marketing toolkits, auditing, market making, and more.
🎙️ Featuring:
@pauli_speaks, CBDO at @Mids_Capital1
Rafael, Lead BDM at @Hashlock_
@evaintheverse, Director of Growth at @Persona3io
@royvillanueva96, BDM at @Persona3io
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Digital advertising is booming in 2024!