Business Questions for GA4 Data Modeling & Dashboard Creation

1. User Journey & Funnel Analysis

Map typical user journeys from entry points (landing pages, channels) to product views, cart additions, checkout, and final purchases.

Where are the primary drop-off points in the funnel, segmented by channel and landing page?

How do these user journeys differ between mobile and desktop devices?

2. Traffic & Landing Pages

Which marketing channels (organic search, paid ads, social media, email, referral) drive the highest traffic volume and quality (lowest bounce, highest conversion)?

Which specific landing pages have the highest conversion rates, and what are their bounce rates?

What is the performance difference between mobile and desktop users by landing page?

3. Cart & Checkout Performance

Identify the specific actions (product removal, quantity adjustments) or stages where cart abandonment is highest.

How effective are cart recommendations in improving purchase rates or average order values?

At which point in the checkout process do most drop-offs occur (address entry, payment selection, order review)?

4. Product Page Interaction

Which product information tabs (description, FAQs, ingredients, reviews) correlate strongly with user conversions?

How does interaction with variant selection affect conversion rates?

Does engagement with reviews (viewing ratings, images, or written reviews) significantly influence purchase likelihood?

5. Homepage Engagement

Which homepage banners (hero banners, promotional banners) generate the most clicks, engagement, and direct conversions?

Which categories in the "Shop by Concern" widget drive the most engagement and purchases?

Do users who interact with homepage videos or product bundles convert at a higher rate?

6. Sales Metrics & Customer Retention

What is the average order value (AOV) and repeat purchase rate segmented by channel, landing page, and device type?

Which products or product categories consistently drive repeat purchases and higher lifetime value (LTV)?

7. Channel Attribution & Effectiveness

Clearly identify which channels primarily initiate user journeys versus those that typically close (convert) the sale.

Analyze assisted conversions to understand which channels indirectly contribute to final conversions.

8. Collection & Product Discovery

What collection page filters or sorting methods are most frequently used and correlate positively with conversions?

How does changing or removing filters impact user engagement and sales?

What is the effectiveness of promotional banners on collection pages in driving product clicks and conversions?

9. Drop-off Analysis & User Recovery

Pinpoint exactly where users typically exit the site or abandon their shopping journey.

Measure the effectiveness of retargeting and email marketing campaigns in recapturing these users.

10. Cohort & Retention Insights

What is the retention rate of users acquired from different marketing campaigns or channels?

How does user engagement and purchasing behavior evolve over time for specific customer cohorts?

11. Customer Segmentation & Personalization

How do user behaviors differ between high-value repeat customers and occasional buyers?

What specific behaviors indicate potential for higher lifetime customer value?

12. Site Search & Navigation

Which site search terms frequently lead to product views or conversions?

Identify problematic navigation patterns or repetitive user actions indicating usability issues.

13. Website Performance

How do page load times and site performance impact bounce rates, engagement, and conversions?

14. Content Engagement Impact

Do blogs, videos, or stories significantly influence purchase decisions or boost customer engagement metrics?

15. Newsletter Subscriber Analysis

Are newsletter subscribers more likely to convert, make larger purchases, or repurchase more frequently?

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