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Illustrative synthetic data

1. Prior-period net revenue starts the bridge at 14,825 thousand units.
2. Volume adds 412 and mix adds 96.
3. New customers add 205, while returns subtract 138.
4. Current net revenue closes at 15,400 thousand units.

Illustrative synthetic data

1. Rows are the four regions, columns are months one to twelve.
2. Monthly totals rise from 1,103 in month one to 1,471 in month twelve.
3. The last months of the year are the strongest in every region.
4. All cells together add up to 15,400 thousand units.

Illustrative synthetic data

1. Six cohorts bring in 839 new customers in total.
2. Every cohort starts at 100 percent in its first period.
3. The sharpest drop comes after the first period, to between 70 and 74 percent.
4. The oldest cohort settles at roughly 41 percent by the sixth period.

Illustrative synthetic data

1. An orders database, a CRM and files are the three sources.
2. They feed the sales and customer datasets.
3. Those datasets resolve into the net revenue and repeat rate metrics; net revenue receives 760 units from sales, 620 of them from the orders database.
4. Net revenue then feeds executives with 460 units and operations with 300.

Illustrative synthetic data

1. The north leads with 4,276 thousand units.
2. The south follows with 3,814 and the east with 3,784.
3. The west is lowest at 3,526.
4. The four regions together total 15,400 thousand units.

Illustrative synthetic data

1. Home is the largest product line at 4,792 thousand units.
2. Fashion contributes 4,153 and electronics 3,690.
3. Grocery is the smallest at 2,765.
4. Rectangle area is proportional to net revenue.

Illustrative synthetic data

1. Bars show net revenue for each of twelve months.
2. Revenue climbs from 1,103 in month one to 1,471 in month twelve.
3. The line shows margin, which stays between 20.9 and 23.2 percent.
4. Twelve months add up to 15,400 thousand units.