Price increase impact by customer
“show the revenue impact of the price increase by customer: old price, new price and the change”
Show the revenue impact of the price increase by customer: old price, new price and the change using Stripe subscription price changes, Stripe customers and Stripe prices.
What the agent built
8 steps, each one an ordinary Mammoth step you can open and change.
- FileStripe subscription price changesCSV export · 12 rows
- FileStripe customersCSV export · 12 rows
- FileStripe pricesCSV export · 12 rows
- FileStripe pricesCSV export · 12 rows
- StepMake change keysStep 4
- StepMake customer keyStep 1
- StepMake old price keyStep 2
- StepMake new price keyStep 3
- JoinFind customer name12 of 12 paired
- JoinGet old price12 of 12 paired
- JoinGet new price12 of 12 paired
- StepShow price changeStep 8
- ResultCustomer Price Impact12 rows
- ScheduleRuns when you sayProposed
Checked on the sample files: every step ran, 12 rows came out, and the join paired 12 of 12 rows; the join paired 12 of 12 rows; the join paired 12 of 12 rows.
- Download Stripe subscription price changes sample (12 rows)Stripe: Billing > Subscriptions > Export
- Download Stripe customers sample (12 rows)Stripe: Customers > All customers > Export
- Download Stripe prices sample (12 rows)Stripe: Products > Prices > Export
- Download Stripe prices sample (12 rows)Stripe: Products > Prices > Export
What you get back
The result of that run, the rows to look at first.
| Customer | Old price (USD) | New price (USD) | Change (USD) |
|---|---|---|---|
| Northstar Studio | 49 | 59 | 10 |
| Harbor & Pine | 129 | 149 | 20 |
| Morrow Health | 249 | 289 | 40 |
| Lumen Cart | 499 | 579 | 80 |
| Summit Thread | 79 | 89 | 10 |
| Copperleaf Ops | 249 | 289 | 40 |
| Bluegate Co | 129 | 149 | 20 |
| Orchard Nine | 49 | 59 | 10 |
| Fieldline Media | 999 | 1,149 | 150 |
| Keystone Bento | 79 | 89 | 10 |
| Aster Works | 129 | 149 | 20 |
| Northwind Goods | 249 | 289 | 40 |
How do you show the revenue impact of a price increase by customer?
Export the Stripe data for subscription price changes, customers, and prices. Mammoth matches the rows, finds the customer name, gets the old price and new price, then shows the change by customer.
How it works
How to use the Customer Price Impact workflow
- 1Get early accessWe invite people in small batches, job by job. You'll land on this workflow, already built and checked on the sample files.
- 2Swap in your exportsUpload your own files as they come out of your tools. The agent checks the workflow on your rows.
- 3Change it in words, then turn it onSay what to change and see the new result before anything saves. Then choose when it runs.
Customer Price Impact: questions
What Stripe export should you use?
What happens to rows that do not match?
How do you change the matching rules?
Get early access to this workflow
It will open already built and checked on the sample files. Swap in your own exports and see your result.
Workflows like this
Cohorts, churn, repeat purchases, retention, RFM segments and recurring revenue, from your orders or payments.
- Customer lifetime value by cohortWork out customer lifetime value by signup month cohort from Shopify customers and orders exports, with revenue per customer and average order count.See the workflow Built by the agent
- Cohort retentionEach month's new customers, and the share still buying 1, 2, 3… months laterSee the workflow Template
- ARPU by monthCalculate average revenue per user each month from Stripe invoices and active customers.See the workflow Built by the agent
- RFM segmentsEvery customer scored 1-5 on recency, frequency and spend, with a segmentSee the workflow Template
- Net revenue retentionNet and gross revenue retention for every monthSee the workflow Template
- Repeat purchase rateEach month's new customers and the share who ordered again within 90 daysSee the workflow Template