Browse categories
English
$
USD
Connect to your AI
I will analyze your customer retention and churn data using python
Data Analyst for Excel SQL Python and Power BI
I help businesses transform raw data into clean datasets, interactive dashboards, and actionable insights.
My services include:
• Data cleaning and analysis using Excel and Python
• SQL queries and r...
About this Gig
Are you losing customers or struggling to understand your customer retention and conversion performance?
I will analyze your customer data using Python, Pandas, and data visualization to help you identify churn patterns, retention trends, customer segments, and conversion opportunities.
WHAT I OFFER
Basic: Retention & Churn Audit
- Data cleaning and validation
- Basic exploratory data analysis
- Key customer metrics
- Churn pattern identification
- Visualizations and executive summary
Standard: Customer Retention & Funnel Analysis
- Detailed retention and churn analysis
- Cohort analysis
- Customer segmentation
- Conversion funnel analysis
- Tracking data quality evaluation
- Business insights and optimization ideas
Premium: Advanced Customer Intelligence
- Advanced customer analytics
- Retention and churn analysis
- Multiple conversion funnels
- Customer segmentation
- Tracking evaluation
- Executive summary and strategic recommendations
- Optional basic ML model, subject to data suitability
TOOLS
Python | Pandas | NumPy | Matplotlib | Seaborn | Jupyter Notebook
IMPORTANT
I identify patterns and factors associated with churn using available data. I do not claim to establish exact causal reasons.
My Portfolio
Other Data Analytics Services I Offer
FAQ
What type of customer data can you analyze?
I can analyze customer data in CSV or Excel format, including transaction history, subscription records, customer activity, purchase behavior, and website or conversion event data.
What tools do you use for customer analytics?
I use Python, Pandas, NumPy, Matplotlib, Seaborn, and Jupyter Notebook for data cleaning, analysis, visualization, and reporting.
Can you identify why my customers are leaving?
I can identify churn patterns, retention trends, and factors associated with higher churn. Establishing exact causal reasons may require additional evidence, customer feedback, or experiments.
What is customer churn analysis?
Customer churn analysis examines customers who stop purchasing, cancel subscriptions, or become inactive during a defined period. It helps businesses understand churn patterns and identify customers who may need attention.
What is customer retention analysis?
Customer retention analysis measures how effectively a business maintains customer relationships over time. It can include retention rates, repeat purchase behavior, cohort analysis, and customer lifetime trends.
Can you perform customer segmentation?
Yes. I can segment customers based on available data, such as purchasing behavior, activity, customer value, retention patterns, or other relevant business characteristics.
Can you analyze conversion funnels?
Yes. I can analyze customer progression through defined funnel stages, calculate conversion rates, identify drop-off points, and provide recommendations based on observed patterns.
Can you evaluate website or analytics tracking?
Yes. I can review supplied tracking data, event definitions, analytics exports, or configuration screenshots to identify potential data quality issues and tracking gaps. Live implementation is not included unless separately agreed.
Will I receive the Python notebook and analysis files?
Yes. The package includes a Python notebook and the corresponding documentation or report specified in the selected package.
Can you build a machine learning model to predict churn?
A basic churn prediction model may be available as an additional service or within a qualified Premium project. I will first evaluate whether your dataset contains sufficient information and a suitable target variable.
