---
title: Common Troubleshooting & Debugging Tips
description: If you encounter issues with your Cassandra models, this guide provides solutions for common problems related to data integration, model accuracy, budget allocation, and more.
---

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2. [Troubleshooting](https://docs.cassandra.app/migration/troubleshooting?hsLang=en)

# Common Troubleshooting & Debugging Tips

## If you encounter issues with your Cassandra models, this guide provides solutions for common problems related to data integration, model accuracy, budget allocation, and more.

### **Step 1: Troubleshooting Data Issues**

1. **Data Not Uploading or Missing Values** 
     - Ensure the file format is **CSV** and adheres to Cassandra’s **YYYY-MM-DD date format**.
     - Check for **missing required columns** (e.g., spend, conversions, revenue).
     - Verify data consistency (e.g., no mixed date formats or text in numeric columns).
     - Large files? **Try splitting them** into smaller parts before uploading.
2. **Incorrect or Mismatched Data in Reports** 
     - Ensure **column mappings** are correct when uploading data.
     - If API-connected, check if the **latest sync was successful**.
     - Look for duplicates in your dataset that may be inflating values.
3. **Discrepancies Between Cassandra & Platform Reports** 
     - Cassandra uses **incremental attribution**, which differs from platform-reported **last-click attribution**.
     - Compare platform reports with **Cassandra’s multi-touch model**.
     - Run **incrementality tests** to validate model accuracy.

---

### **Step 2: Troubleshooting Model Accuracy**

1. **Why is My Model’s Accuracy Low?** 
     - Ensure you have **at least 2 years of historical data** for best results.
     - Remove variables with **low spend (\<3% of budget)** or **low variance**.
     - Check for **multicollinearity**—if multiple channels have highly correlated spend, try **aggregating** them.
2. **Why Do Some Channels Show Zero Contribution?** 
     - Channels with **low historical spend** or **infrequent campaigns** may lack statistical significance.
     - If a channel is new, **wait until at least 4-6 weeks of data** before adding it to the model.
     - Run **GeoLift or Conversion Lift experiments** to validate contributions.
3. **Baseline Contribution Seems Too High or Too Low** 
     - The **baseline represents organic sales and brand equity**—a high baseline suggests **strong non-paid revenue sources**.
     - If baseline seems too high, check if **some paid channels are under-attributed** and require calibration.
     - Increase the historical data window to **improve trend analysis**.

---

### **Step 3: Troubleshooting Budget Allocator & Predictions**

1. **Budget Allocator Suggestions Seem Off** 
     - Check if recent **budget changes were reflected** in the model before running the allocator.
     - If channels are over-allocated, look at their **saturation curves**—some may be **hitting diminishing returns**.
     - If channels are under-allocated, ensure they have **enough historical spend** to be accurately modeled.
2. **Predicted ROI Doesn’t Match Real Performance** 
     - ROI predictions assume **stable conditions**—if external factors change (e.g., economic shifts, new competitors), adjustments may be needed.
     - Run **incrementality experiments** to validate the model’s attributions.
     - Compare **past model forecasts with actuals** to assess calibration accuracy.

---

### **Step 4: Technical Issues & Platform Errors**

1. **Model Refresh Fails** 
     - Check if **data sync was completed** before running a refresh.
     - Ensure the **date range is correct**—it should align with **existing model boundaries**.
     - If warnings appear about missing variables, verify the **latest dataset includes all columns**.
2. **Platform is Slow or Unresponsive** 
     - Try clearing your browser cache and **reloading the page**.
     - Large datasets may cause delays—limit query ranges or **use filters to refine results**.
     - If issues persist, contact **Cassandra support**.

---

### **Summary & Next Steps**

- **Validate data formatting** before uploading.
- **Use incrementality tests** to validate contributions.
- **Adjust budget allocation** based on saturation curves.
- **Check historical data length** if model accuracy is low.

- [Getting started with Cassandra](https://docs.cassandra.app/migration/getting-started-with-cassandra?hsLang=en)
- [Data preparation & Model Calibration](https://docs.cassandra.app/migration/data-preparation-model-calibration?hsLang=en#main-content)

    - [Connectors - How to?](https://docs.cassandra.app/migration/data-preparation-model-calibration?hsLang=en#connectors-how-to)
- [Optimization & Budgeting](https://docs.cassandra.app/migration/optimization-budgeting?hsLang=en)
- [Experimentation & Validation](https://docs.cassandra.app/migration/experimentation-validation?hsLang=en)
- [Forecasting & Strategic Planning](https://docs.cassandra.app/migration/forecasting-strategic-planning?hsLang=en)
- [Troubleshooting](https://docs.cassandra.app/migration/troubleshooting?hsLang=en)

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