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Welcome to the sm_transformed_v2 schema. Use this page to quickly jump to table-level documentation. Tables are grouped by their role in the model for clarity. Foundation vs Pro. The active catalog contains 31 tables. Pro (dedicated warehouse) receives all 31. Foundation (shared warehouse) receives 16. The other 15 are Pro only: the seven dim_* order and customer tables, every subscription table, and fct_orders_placed. Each Pro-only page carries a banner saying so. If a table is missing in BigQuery, check the plan comparison before assuming something broke.

Dimensions

dim_customer_addresses

Customer address dimension for enriching customers and orders with normalized geo attributes.

dim_customers

Customer dimension with stable keys and profile attributes for joining and segmentation.

dim_order_discounts

Order discount dimension with discount types, codes, and values.

dim_order_lines

Order line dimension for product-level attributes at line grain.

dim_order_shipping_lines

Order shipping line dimension for shipping method and cost details at line-level.

dim_order_taxes

Order tax dimension with tax names and amounts for reconciliation and reporting.

dim_orders

Order dimension with stable keys and descriptive attributes for joining and exploration.

dim_product_variants

Product variant dimension for enriching line items with stable keys and attributes.

dim_subscriptions

Subscription records with lifecycle, product, MRR, and reporting-currency fields.

dim_subscribers

Subscriber status, cohort, tenure, and lifetime revenue.

Facts

fct_order_attribution_signals

Row-level attribution signals table for tracing the inputs SourceMedium evaluated for each order’s attribution.

fct_orders_placed

Placed order fact table for order-count analytics and funnel tie-ins.

fct_refunds_processed

Refund transaction fact table for revenue adjustments and return analytics.

fct_returns

Loop Returns fact table enriched with Shopify order context.

fct_subscription_charges

ReCharge charges at charge grain.

OBT (One Big Table)

obt_affiliate_conversions

ShopMy and Superfiliate conversions at order grain.

obt_customer_support_tickets

Customer support ticket analytics for lifecycle, agent performance, and channel analysis.

obt_customers

Customer analytics table for acquisition, subscription status, and cohort analysis.

obt_funnel_event_history

Unified funnel event history across Elevar, RudderStack, Snowplow, and GA4 for pathing and attribution.

obt_inventory_positions

Current-state inventory visibility across Shopify and Amazon sources.

obt_order_lines

Product-level analytics table for order line revenue, costs, and profitability.

obt_orders

Order analytics table for revenue, profitability, refunds, and channel performance analysis.

obt_subscriptions

Subscription analytics enriched with product and subscriber attributes.

obt_subscription_charges

ReCharge charges with billing sequence.

Reports

rpt_ad_performance_daily

Daily advertising performance across platforms for spend, efficiency, and ROAS.

rpt_cohort_ltv_by_first_valid_purchase_attribute_no_product_filters

Cohort LTV analysis by first valid purchase attributes (channel, campaign, source) with no product filters.

rpt_executive_summary_daily

Daily KPI aggregation for executive reporting and dashboards (revenue, ROAS, profit, targets).

rpt_funnel_events_performance_hourly

Hourly funnel event aggregation for near-real-time conversion monitoring.

rpt_outbound_message_performance_daily

Daily messaging performance across email/SMS/push for campaigns and flows.

rpt_subscription_signup_cohort_retention

Subscription retention and MRR by signup cohort and months since signup.

rpt_subscriptions_performance_daily

Daily subscription growth, churn, active subscriptions, and MRR reporting.

Planned

rpt_order_attributed_marketing_utms

Planned multi-touch UTM attribution table with conversion credit per UTM signal. It is not included in the 31 active tables above.

Retired

rpt_affiliate_performance_daily

Retired and no longer updated. Use obt_affiliate_conversions for order-level affiliate analysis and daily rollups.

Need something else in this index? Ping us and we’ll add it.