Croct is a dynamic CMS with built-in personalization, AB testing, and analytics. Today, we're launching a new version of the product that not only provides real-time data about the user but also historical data. Now you can segment website visitors by the events they perform, specifying recency and frequency criteria for real-time audience segmentation.
I appreciate this design approach focused on helping growth teams move quickly while avoiding bottlenecks caused by developers.
To date, which application scenario has shown the greatest potential for improvement—AI audience segmentation, personalized services, or solving customer needs?
Wow, Croct looks amazing! The AI-powered audience segmentation seems super powerful. How granular can I get with the event-based segmentation for returning users?
Congrats on the launch @amorimj@marcospassos@camila_shiratsubaki1@luizawramos 👏 What stood out to me most is the combination of real-time events with recency/frequency segmentation. It makes web personalization far more reliable (less “loose rules”) and significantly improves experiment quality.
Wow! This is really amazing. Congratulations on the launch. Everything looks really great. 💚💚
Congratulations with yet another successful launch! Likely you'll get another - #4 medal! Now that's some consistency!
Solid approach to website personalization. Curious to know though - are you seeing adoption from enterprises as well? How do you handle privacy compliance across different geographies?
RFM-style segments + flags in one place sounds handy. We’re on Next.js and juggle too many tools for this stuff. If setup’s light and doesn’t slow the page, tempting. The historical bits (recency/frequency) are the draw for me.
Wow Juliana! I used to need more than 3 tools to make all you pointed here! It’s really impressive. Are you competing with mixpanel and intercom at the same time?
Love the focus on helping growth teams move fast without blocking on devs. which use case has shown the biggest lift so far — AI audience segmentation, personalization, or A/B testing?
how does it handle data privacy and GDPR compliance when tracking real-time behavioral patterns?
👋 Hey Product Hunt!
Today, we're shipping something we've been working toward since the first version of Croct: AI-powered website segmentation.
Until now, segmentation has relied on static data or real-time context. But visitor behavior isn't static: visitors click, browse, return, convert, and change their intent constantly.
So we built a way to turn every on-site action into growth.
With this release, you can understand what they click, what they view, how often they return, and use their behavior to create live segments that learns from real web activity over time. No SQL, no analytics gymnastics, no over-engineering.
What you can do now: - Segment visitors by real behavior, not snapshots - Leverage recency, frequency, and intent - Personalize experiences automatically as users interact - Run smarter AB tests based on richer audience data - Turn behavior patterns into high-converting experiences
It's simple, fast, and ready to plug into any website.
As always, we're building this alongside the community. Your questions, ideas, and feedback shape what we do next, so hit us with everything you've got 💚
I appreciate this design approach focused on helping growth teams move quickly while avoiding bottlenecks caused by developers.
To date, which application scenario has shown the greatest potential for improvement—AI audience segmentation, personalized services, or solving customer needs?