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Anonymous

Stealth • 3m

What will be the potential solution to identifying customer intent in e-commerce?? Could a solution for this reduce CAC?

10 replies6 likes

Replies (10)

Anonymous 5

Stealth • 3m

Intent is the goldmine and understanding what your customers want (and when) is the secret sauce to e-commerce success. Without it, you’re just guessing and wasting money and if you're working on something like this. All the best. Shovel in a gold rush this could be.

1 replies

Anonymous 4

Stealth • 3m

Forget broad categories; focus on real-time behavior

1 replies

Anonymous 3

Stealth • 3m

Haa toh bhai that's what pixels are installed for na? Depending on user behaviour they assess na what can be better?

1 replies

Anonymous 2

Stealth • 3m

Processing cursor movements + dwell time through transformers is showing 82% accuracy in predicting cart abandonment before it happens. This could revolutionize how we target retention efforts and reduce CAC.

0 replies2 likes

Anonymous 1

Stealth • 3m

LLMs + behavioral data is the future here. We've been testing GPT-4 to analyze user browsing patterns and search queries in real-time. Early results show 40% better intent prediction than traditional ML models. The key is combining historical purchase data with natural language understanding.

1 replies1 like

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