As the market keeps changing, keeping your marketing mix models (MMM) accurate is more important than ever. Marketers often face problems like “model drift,” where models become less effective over time because they’re based on outdated data. This leads to less accurate forecasts and wasted money. Traditional methods to recalibrate models can be time-consuming and might not keep up with fast-changing business goals.
By easily cloning and retraining your models with the latest experiment results, you can make sure your MMM stays relevant and aligned with your business goals. This seamless recalibration reduces the risk of your models becoming outdated and helps you make decisions based on the most current data.
You can quickly fine-tune or recalibrate your MMM models with new data inputs, keeping them accurate and reflective of recent performance. Whether you want to add the latest experiment results or completely clone and retrain your model, this feature ensures your models always match your current objectives.
Key benefits:
- Maintain model accuracy with the latest data.
- Effortlessly recalibrate or retrain models without delays.
- Align models with current business objectives and strategies.
- Save time with quick model updates for faster insights.