Real ChatGPT answer · index seednI9BccgB1wEcompleteMarketing and advertising · web analyticsinformational
What formulas do modern subscription apps use to blend historical churn data with predictive machine learning models when calculating customer lifetime value?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What formulas do modern subscription apps use to blend historical churn data with predictive machine learning models when calculating customer lifetime value?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 1 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
subscription customer lifetime value survival analysis churn prediction machine learning expected discounted revenue formula cohort retention Google ↗
BG/NBD Pareto/NBD subscription customer lifetime value survival model hazard function churn prediction Google ↗
- Prediction Explorer · revenuecat.com
- A novel approach to predicting customer lifetime value in B2B SaaS companies | Journal of Marketing Analytics · link.springer.com
- A novel approach to predicting customer lifetime value in B2B SaaS companies | Journal of Marketing Analytics · doi.org
- The BG/NBD Model for Customer Lifetime Value · pymc-marketing.io
- R: Pareto/NBD models · search.r-project.org
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
subscription customer lifetime value survival analysis churn prediction machine learning expected discounted revenue formula cohort retention OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 | |
BG/NBD Pareto/NBD subscription customer lifetime value survival model hazard function churn prediction OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |