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A: Percent of customer's orders with coupon. Calculation: case when A is null or B is null or B=0 then null else A/B end. A: User's lifetime number of coupons used. Percent of customer's orders with coupon. Calculation: case when A='Coupon' then 'Coupon acquisition customer' else 'Non coupon acquisition customer' end. A: Customer's first order included a coupon? (Coupon/No coupon). Coupon acquisition customer or Non coupon acquisition customer. B: Order has coupon applied? (Coupon/No coupon) = Coupon. Customer's lifetime number of coupons used. Select Column: Order has coupon applied? (Coupon/No coupon). Path: sales_flat_order.customer_id = customer_entity.entity_id. Customer's first order included a coupon? (Coupon/No coupon). Event Owner: customer_id - coupon codeĪdditional columns to create if guest orders NOT supported:. Column Type: Same Table => EVENT_NUMBER. Calculation: case when A is null then 'No coupon' else 'Coupon' end. If they aren't, go ahead and track them, by navigating to "Manage Data" -> "Data Warehouse", and syncing the following:Ĭolumns to create regardless of guest orders policy: Getting StartedĪs a first step, you'll need to ensure that the following columns are synced to your Data Warehouse. This analysis contains advanced calculated columns. This article will walk you through the steps to create analyses to understand which customers you acquire through the use of coupons, how they perform and track general coupon usage. Understanding the coupon performance of your business is an interesting way to segment your orders and also better understand your customers. How does Google Analytics UTM attribution work?. Identifying your most valuable marketing sources and channels. Understanding and building basic analytics. Analyzing repeat probability decay and churn. Year-over-year, month-over-month, week-over-week. Recency, frequency, monetary (RFM) analysis. Analyzing Website Activity and Customer Conversion Rates. Analyzing customer repurchasing behavior. Track User Device and Browser Data in your Database. Track User Acquisition Source Data Overview. Expected Lifetime Value (LTV) Analysis (advanced). Expected Lifetime Value (LTV) Analysis (basic). Increasing ROI on your advertising campaigns. 
Analyzing coupon impact on acquiring and retaining customers.Connecting MySQL via a direct connection.Connect Your MySQL Database to Magento BI.Expected Google Analytics Warehoused Data.
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Importing offline / other ad spend data.Importing CJ Affiliate (Commission Junction) Marketing Data.
Formatting and importing eCommerce data. Understanding Results Between Database and SQL Editor. Differences in Columns Between SQL and Data Warehouse Manager. Auditing Metrics Using the SQL Report Builder. Understanding the Repeat Order Probability Report. Why does the time to first purchase report slope downward?. Are there any integrations I can't use with the SQL Report Builder?. Are SQL Report Builder queries case-sensitive?. #Pro rank tracker coupon update#
Do I have to rebuild my queries after every update cycle?. Ordering data using the Show Top/Bottom feature. Why is the Lifetime Revenue Cohort Analysis Important?. Create Google Analytics charts (with regex syntax help). What's the difference between the Report Builder and the SQL Report Builder?. Does deleting a SQL report/query also delete the underlying columns from my Data Warehouse?. Using the Cohort Report Builder for Non-Date Based Cohorts. Using the Sequential Comparison Calculated Column. Using the Event Number Calculated Column. Using the Date Difference Calculated Column. Understanding and Evaluating Table Relationships. Translating SQL queries into Magento BI reports. Replicating Google Analytics channels using acquisition sources. Creating and Using a SQL Calculated Column. Creating and Using Data Warehouse Views. Building Google ECommerce dimensions with order and customer data.
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