Augmented AI Solution to automates modeling pipeline process
Brings end-to-end solution and meets these main data science situations: data preparation, data wrangling, feature engineering, selection of algorithms, training and parameter tuning, then understandable insights with reporting at clean dashboards.
Save time and Resources
85 % Prediction Accuracy Score
Minimum effort, Maximum success
B2Metric AI/ML based campaign optimization solutions can be implemented and adapted seamlessly to companies. Companies can have different types of communication channels such as Mobile, Online Channel, In store etc. Thus, we can apply all of the similar or different scenarios.
Smarter, Faster, Powerful
Top-in-class to give more meaningful and insightful analysis results. See what our customers say
With the B2ML Studio platform, you can easily integrate many different databases and get BI reporting, AutoML modeling, and explainable AI results on a single platform of your data. Decision trees provide an explanation of the model's decision judgment by converting the results of the data distribution learned by modeling into simple rule sets.Thus, you can find out which situations are for or against your business model by following the rule sets.
We have searched and tried many Auto-ML tools before. But B2Metric is the most suitable customer journey predictive analytics solution for our insurance business needs. Automated machine learning solutions with divergent thinking systems for churn prediction, risk analysis and customer segmentation in life insurance customers.
We built our weekly data analysis reports architecture with B2Metric. They have done an excellent job by providing a solution for our endless needs as an OTT startup.
Reinforce marketing & growth teams with great decisions
The golden key to this successReinforce marketing & growth teams with great decisions is its ability to quickly and effectively search different combinations in the space of autonomous features and the combination of different techniques that can be used at any stage.
Micro-Segmentation
Marketing insights
- Our goal built predictive graph let you to
- Sent relevant and personalized communication
- Customized advertising content and ads
- Drive engagement, increase retention, build up your revenue’
Simple AI-Based Predictive Analytics Solution for marketing & growth & product teams
Experience how B2Metric IQ is designed to be used by cross-functional teams. Data collaboration is our secret to building a fast moving data-informed culture inside your company
Data-Driven Decision Making for Everyone.
B2Metric is for everyone, if data engineering and working in models or on the business side and low-code. Stream data and build models seamlessly then optimize marketing budgets.
Data-Driven Decision Making for Everyone.
B2Metric is for everyone, if data engineering and working in models or on the business side and low-code. Stream data and build models seamlessly then optimize marketing budgets.
Boost Your Retention Rate with B2Metric
Retention is one of the significant measurements for businesses. You can view how many of your users return to your product, or are retained or are churned. While increasing your retention, you could offset your new customer acquisition costs and raise users’ lifetime value. This is the reason why higher retention rate is important.
Regression Coefficient
The regression coefficients are a statically measure which is used to measure the average functional relationship between variables. Also, it measures the degree of dependence of one variable on the other(s).
Sunburst
Sunburst shows hierarchy through a series of rings, that are sliced for each category node. Each ring corresponds to a level in the hierarchy, with the central circle representing the root node and the hierarchy moving outwards from it. Rings are sliced up and divided based on their hierarchical relationship to the parent slice. The angle of each slice is either divided equally under its parent node or can be made proportional to a value. Colour can be used to highlight hierarchical groupings or specific categories.
B2Metric ML Studio - FAQ
1How customized are the models ? What are the ways to upload data?
On the hyperparameter optimization page, you can choose validation strategies like KFOLD or SPLIT. Also you can choose an imputer strategy like KNN Imputer, LGB Imputer, Simple Imputer. You can choose the algorithm you want to run. You can choose features that you want to use in your model as input. So you can customize the models you create
Also, you can select model metrics which you want to optimize. For example you can create classification model that tries to optimize (maximize) F1 score or tries to minimize log loss
2How is feature engineering performed in B2Metric ML Studio,? Is it Automatic or Manual?
3How many / what algorithms do you throw for the optimization?
4How do you handle propensity vs uplift modeling?
5How models are inventorized,managed and performance monitored in the B2Metric ML Studio ?
6How is the cutoff (tradeoff) determined in B2Metric ML Studio?
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