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.
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Great product! What technologies are used on the backend?
Thanks,@mykyta_semenov_! We use so many that it's hard to list them all. In the background, we're talking about 5 components (CMS, CDP, personalization engine, AB testing, and analytics), so you can only imagine how big the codebase is... But to list a few: PHP, Java, Typescript, and Go for programming languages, plus some amazing platforms like Kafka, Druid, and many others.
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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?
Thanks, @jaydev13! You can literally go to the event level and specify the exact event type, its parameters, and the time window. You can find all the details here, along with some examples :)
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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?
By far, the personalized experiences and the AB tests, alongside the advanced segmentation :)
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Wow, Croct looks awesome! The AI-powered audience segmentation based on historical data is super interesting. How granular can you get with the recency and frequency criteria?
Replies
Great product! What technologies are used on the backend?
Croct
Thanks,@mykyta_semenov_! We use so many that it's hard to list them all. In the background, we're talking about 5 components (CMS, CDP, personalization engine, AB testing, and analytics), so you can only imagine how big the codebase is... But to list a few: PHP, Java, Typescript, and Go for programming languages, plus some amazing platforms like Kafka, Druid, and many others.
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?
Croct
Thanks, @jaydev13! You can literally go to the event level and specify the exact event type, its parameters, and the time window. You can find all the details here, along with some examples :)
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?
Croct
By far, the personalized experiences and the AB tests, alongside the advanced segmentation :)
Wow, Croct looks awesome! The AI-powered audience segmentation based on historical data is super interesting. How granular can you get with the recency and frequency criteria?