Conflicting A/B Test Results: Engagement Up, Conversion Down

You've just launched a new recommendation algorithm for an e-commerce platform. Initial A/B test results show a statistically significant 5% increase in users adding items to their cart, but a 2% decrease in overall purchase conversion rate. How would you analyze this situation?

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