Cohort retention CSV
textareaRequired input
Noderan MarketplaceData & Intelligence
Demo ReadyLive E2E verifiedDeterministic~10s
Cohort Retention Drop-off Analyzer
Profiles cohort retention rows to locate the specific drop-off weeks and cohorts that diverge from baseline. Returns structured, review-ready output without triggering any external action.
Profiles cohort retention rows to locate the specific drop-off weeks and cohorts that diverge from baseline.
Before you run
Workflow summary
Profiles cohort retention rows to locate the specific drop-off weeks and cohorts that diverge from baseline.
What is Cohort Retention Drop-off Analyzer?
Cohort Retention Drop-off Analyzer is a ready-to-run Noderan marketplace workflow for data & intelligence teams. It helps users move from a manual process to a repeatable automation with visible credit cost and app-based execution.
- Who is it for?
- Growth analytics teams
- What problem does it solve?
- Profiles cohort retention rows to locate the specific drop-off weeks and cohorts that diverge from baseline.
- How does it work?
- Profiles cohort retention rows to locate the specific drop-off weeks and cohorts that diverge from baseline.
- How does pricing work?
- 1 credit per run.
- What is the next action?
- Open the app marketplace to activate this workflow, or review credit pricing.
Cohort Retention Drop-off Analyzer FAQ
Short answers for activation, pricing, inputs, and execution review.
Profiles cohort retention rows to locate the specific drop-off weeks and cohorts that diverge from baseline. Returns structured, review-ready output without triggering any external action.
Expected inputs
Demo input
Csv
item,status,score Jan cohort wk4 drop,review,45 Feb cohort baseline,ready,85 Mar cohort wk1 drop,review,30View raw JSON
{
"csv": "item,status,score\nJan cohort wk4 drop,review,45\nFeb cohort baseline,ready,85\nMar cohort wk1 drop,review,30"
}Output highlights
- rowCount
- columnCount
- headers
- findings
- previewRows
Example result
Row Count
3Column Count
3Headers
itemstatusscore
Findings
Retention rows locate diverging cohorts and drop-off weeks for review.Parsed rows are ready for operator review
Preview Rows
1 structured item
View raw JSON
{
"rowCount": 3,
"columnCount": 3,
"headers": [
"item",
"status",
"score"
],
"findings": [
"Retention rows locate diverging cohorts and drop-off weeks for review.",
"Parsed rows are ready for operator review"
],
"previewRows": [
{
"item": "Example",
"status": "review",
"score": "72"
}
]
}Use cases
- Find exactly where each cohort falls off.
Step 1
Review the workflow and expected credit cost.
Step 2
Connect the tools or inputs required for execution.
Step 3
Run the workflow and inspect outputs in the app history.