Session-based funnel conversion examples (UTM source/medium) #8
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📝 WalkthroughWalkthroughThe pull request updates data activation documentation and SQL templates to clarify analytical approaches. One model description is enhanced to emphasize event-level aggregation and event-based metrics, while SQL query templates are comprehensively revised to shift from event-based to session-based funnel calculations, including metrics for daily funnels, top pages, and UTM source analysis. Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes Poem
🚥 Pre-merge checks | ✅ 3✅ Passed checks (3 passed)
✏️ Tip: You can configure your own custom pre-merge checks in the settings. ✨ Finishing touches🧪 Generate unit tests (beta)
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Actionable comments posted: 1
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⚠️ Outside diff range comments (1)
data-activation/template-resources/sql-query-library.mdx (1)
1464-1477:⚠️ Potential issue | 🟡 MinorRename alias
foto satisfy codespellCI is failing on Line 1466 due to the
foalias. Rename the alias to avoid the codespell false positive.🔧 Proposed fix
- FROM first_valid_orders fo + FROM first_valid_orders first_orders LEFT JOIN `your_project.sm_transformed_v2.obt_orders` o - ON o.sm_customer_key = fo.sm_customer_key + ON o.sm_customer_key = first_orders.sm_customer_key AND o.is_order_sm_valid = TRUE AND o.order_cancelled_at IS NULL AND o.order_net_revenue > 0 - AND o.order_processed_at_local_datetime > fo.first_order_at_local_datetime - AND o.order_processed_at_local_datetime < DATETIME_ADD(fo.first_order_at_local_datetime, INTERVAL 90 DAY) + AND o.order_processed_at_local_datetime > first_orders.first_order_at_local_datetime + AND o.order_processed_at_local_datetime < DATETIME_ADD(first_orders.first_order_at_local_datetime, INTERVAL 90 DAY) GROUP BY 1, 2
🤖 Fix all issues with AI agents
In `@data-activation/template-resources/sql-query-library.mdx`:
- Around line 363-374: The query in the session_daily aggregation selects date
plus aggregate expressions (aliases sessions, sessions_with_view_item,
view_to_cart_rate, etc.) but lacks a GROUP BY, causing BigQuery to fail; update
the SQL in the session_daily query block to add a GROUP BY date (grouping by the
selected date column) before the ORDER BY date so the aggregates are computed
per date.
Comment on lines
363
to
374
| date, | ||
| view_item_events, | ||
| add_to_cart_events, | ||
| begin_checkout_events, | ||
| purchase_events, | ||
| event_order_revenue, | ||
| SAFE_DIVIDE(add_to_cart_events, NULLIF(view_item_events, 0)) AS add_to_cart_per_view_item, | ||
| SAFE_DIVIDE(begin_checkout_events, NULLIF(add_to_cart_events, 0)) AS begin_checkout_per_add_to_cart, | ||
| SAFE_DIVIDE(purchase_events, NULLIF(begin_checkout_events, 0)) AS purchase_per_begin_checkout, | ||
| SAFE_DIVIDE(purchase_events, NULLIF(view_item_events, 0)) AS purchase_per_view_item | ||
| FROM daily | ||
| COUNT(*) AS sessions, | ||
| SUM(has_view_item) AS sessions_with_view_item, | ||
| SUM(has_add_to_cart) AS sessions_with_add_to_cart, | ||
| SUM(has_begin_checkout) AS sessions_with_begin_checkout, | ||
| SUM(has_purchase) AS sessions_with_purchase, | ||
| SAFE_DIVIDE(SUM(has_add_to_cart), NULLIF(SUM(has_view_item), 0)) AS view_to_cart_rate, | ||
| SAFE_DIVIDE(SUM(has_begin_checkout), NULLIF(SUM(has_add_to_cart), 0)) AS cart_to_checkout_rate, | ||
| SAFE_DIVIDE(SUM(has_purchase), NULLIF(SUM(has_begin_checkout), 0)) AS checkout_to_purchase_rate, | ||
| SAFE_DIVIDE(SUM(has_purchase), NULLIF(COUNT(*), 0)) AS session_conversion_rate | ||
| FROM session_daily | ||
| ORDER BY date; |
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Add missing GROUP BY for daily funnel aggregates
Line 363 selects date alongside aggregates without a GROUP BY, which will fail in BigQuery.
🔧 Proposed fix
SELECT
date,
COUNT(*) AS sessions,
SUM(has_view_item) AS sessions_with_view_item,
SUM(has_add_to_cart) AS sessions_with_add_to_cart,
SUM(has_begin_checkout) AS sessions_with_begin_checkout,
SUM(has_purchase) AS sessions_with_purchase,
SAFE_DIVIDE(SUM(has_add_to_cart), NULLIF(SUM(has_view_item), 0)) AS view_to_cart_rate,
SAFE_DIVIDE(SUM(has_begin_checkout), NULLIF(SUM(has_add_to_cart), 0)) AS cart_to_checkout_rate,
SAFE_DIVIDE(SUM(has_purchase), NULLIF(SUM(has_begin_checkout), 0)) AS checkout_to_purchase_rate,
SAFE_DIVIDE(SUM(has_purchase), NULLIF(COUNT(*), 0)) AS session_conversion_rate
FROM session_daily
+GROUP BY date
ORDER BY date;📝 Committable suggestion
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Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
Suggested change
| date, | |
| view_item_events, | |
| add_to_cart_events, | |
| begin_checkout_events, | |
| purchase_events, | |
| event_order_revenue, | |
| SAFE_DIVIDE(add_to_cart_events, NULLIF(view_item_events, 0)) AS add_to_cart_per_view_item, | |
| SAFE_DIVIDE(begin_checkout_events, NULLIF(add_to_cart_events, 0)) AS begin_checkout_per_add_to_cart, | |
| SAFE_DIVIDE(purchase_events, NULLIF(begin_checkout_events, 0)) AS purchase_per_begin_checkout, | |
| SAFE_DIVIDE(purchase_events, NULLIF(view_item_events, 0)) AS purchase_per_view_item | |
| FROM daily | |
| COUNT(*) AS sessions, | |
| SUM(has_view_item) AS sessions_with_view_item, | |
| SUM(has_add_to_cart) AS sessions_with_add_to_cart, | |
| SUM(has_begin_checkout) AS sessions_with_begin_checkout, | |
| SUM(has_purchase) AS sessions_with_purchase, | |
| SAFE_DIVIDE(SUM(has_add_to_cart), NULLIF(SUM(has_view_item), 0)) AS view_to_cart_rate, | |
| SAFE_DIVIDE(SUM(has_begin_checkout), NULLIF(SUM(has_add_to_cart), 0)) AS cart_to_checkout_rate, | |
| SAFE_DIVIDE(SUM(has_purchase), NULLIF(SUM(has_begin_checkout), 0)) AS checkout_to_purchase_rate, | |
| SAFE_DIVIDE(SUM(has_purchase), NULLIF(COUNT(*), 0)) AS session_conversion_rate | |
| FROM session_daily | |
| ORDER BY date; | |
| date, | |
| COUNT(*) AS sessions, | |
| SUM(has_view_item) AS sessions_with_view_item, | |
| SUM(has_add_to_cart) AS sessions_with_add_to_cart, | |
| SUM(has_begin_checkout) AS sessions_with_begin_checkout, | |
| SUM(has_purchase) AS sessions_with_purchase, | |
| SAFE_DIVIDE(SUM(has_add_to_cart), NULLIF(SUM(has_view_item), 0)) AS view_to_cart_rate, | |
| SAFE_DIVIDE(SUM(has_begin_checkout), NULLIF(SUM(has_add_to_cart), 0)) AS cart_to_checkout_rate, | |
| SAFE_DIVIDE(SUM(has_purchase), NULLIF(SUM(has_begin_checkout), 0)) AS checkout_to_purchase_rate, | |
| SAFE_DIVIDE(SUM(has_purchase), NULLIF(COUNT(*), 0)) AS session_conversion_rate | |
| FROM session_daily | |
| GROUP BY date | |
| ORDER BY date; |
🤖 Prompt for AI Agents
In `@data-activation/template-resources/sql-query-library.mdx` around lines 363 -
374, The query in the session_daily aggregation selects date plus aggregate
expressions (aliases sessions, sessions_with_view_item, view_to_cart_rate, etc.)
but lacks a GROUP BY, causing BigQuery to fail; update the SQL in the
session_daily query block to add a GROUP BY date (grouping by the selected date
column) before the ORDER BY date so the aggregates are computed per date.
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Fixes misleading event-based funnel conversion examples in SQL Query Library.
sm_transformed_v2.obt_funnel_event_history(distinct-session denominators).rpt_funnel_events_performance_hourlytable doc to clearly state it is event-aggregated and ratios are directional, not true conversion.Goal: Mintlify retrieval should stop suggesting event-count ratios as “conversion rate”.
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