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Customer Analytics

Dimension selection
  • Payment Amount Distribution
    X Axis is the purchase amount values with bins. Y Axis is number of Unique Customer count related to their average purchase amounts. This Distribution allows us the see how much customers are willing to pay for a purchase.
  • Total Number Customer Breakdown with Purchased Order Count
    X Axis is Order Counts staring with 1. Y Axis is number of Unique Customer count related to their order counts. This Distribution allows us the see overall potential of your business.
  • RFM
    X Axis represents 'recency'. Y Axis represents 'monetary'. Z Axis represents 'frequency'. Recency metric is a time difference between customers of last purchase transaction date to recent date. Monetary metric is average purchase amount per customer. Frequency metric is average time difference per between purchase date of each order per customer. There is a colored dots. These are represents the segmented customers according to their RFM values.
  • Download to First Order Cohort
    If there isn`t any downloaded date, you may assign any date which is related to customers of first event with your business. This cohort of date column represent download date. If it is Weekly Cohort it will represent the mondays of each week. Otherwise it will represent days. Each Numeric column from 0 to 15 are the day differences after the downloaded date. For instance, if date columns is 2021-05-06, and numeric column is 10 and value is 100, this refers that there are 100 customers who have downloads in 2021-05-06 and have first orders 10 days later.
  • Daily Funnel
    X Axis represents days that are stored in ElasticSearch. Y Axis represents number of transactions such as order count, session count, add product the basket transaction count per day. In order to show actions such as add product the basket transaction count except order count, session count, these actions must be added to actions label while creating Sessions data source (For more information pls. check Create Data Source - Sessions & Customers)
Payment Amount Distribution {% if data_type['purchase_amount_distribution'] == False %} sample data {% endif %}
Total Number Customer Breakdown with Purchased Order Count {% if data_type['user_counts_per_order_seq'] == False %} sample data {% endif %}
RFM {% if data_type['rfm'] == False %} sample data {% endif %}
CLV Prediction - Daily {% if data_type['daily_clv'] == False %} sample data {% endif %}
Download to First Order Cohorts {% if data_type['weekly_cohort_downloads'] == False %} sample data {% endif %}
Daily Funnel {% if data_type['daily_funnel'] == False %} sample data {% endif %}
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