You will get churn prediction and customer segmentation to improve retention
Project details
Increase retention by acting before customers leave. You'll get a churn prediction model that identifies at-risk customers and explains the key reasons behind churn—behavioral and transactional drivers like engagement frequency, purchase recency, and feature usage. Depending on the package, you'll also receive customer segmentation and an actionable playbook: what to do for each segment to reduce churn and increase lifetime value. Higher tiers include automated scoring (Google Sheets, CRM, or API) so your team can continuously monitor risk without manual exports. Share your churn definition and dataset, and I'll confirm scope within 24 hours.
Machine Learning Tools
Google Sheets, Keras, Microsoft Excel, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$499
|
Standard
$899
|
Advanced
$1,299
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | 2 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 0 | 1 | 2 |
Number of Graphs/Charts | 10 | 15 | 18 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$99 - $249
CRM or Google Sheets integration for live scoring
+$199
Extra scoring rules or custom thresholds
+$99
Monthly monitoring refresh and model retraining
+$149Frequently asked questions
About Artsiom
Data Analyst | Excel/Google Sheets, SQL, Python | Dashboards & Reports
Berlin, Germany - 12:34 pm local time
What I can deliver in 24–72 hours: data cleaning (duplicates/missing values), merging multiple files, pivot tables, KPI dashboards, funnel/cohort tables, and an executive summary with recommendations.​
Optional: simple ML baselines (regression/classification) with validation and an easy explanation; also research-style crypto/quant notebooks (feature engineering + backtest metrics) if you need it.​
Steps for completing your project
After purchasing the project, send requirements so Artsiom can start the project.
Delivery time starts when Artsiom receives requirements from you.
Artsiom works on your project following the steps below.
Revisions may occur after the delivery date.
Define churn & feature engineering
I confirm your churn definition, prepare behavioral and transactional features, and validate data quality (missing values, outliers, imbalance).
Train model & explain drivers
I train the churn prediction model, validate performance metrics (precision, recall, AUC), and generate feature importance and explanations for business stakeholders.