Predictive Analytics Solutions Development

Acquiring new customers can be 15 times more expensive than retaining existing ones. That makes strategies built around churn and retention the most cost-efficient.

We analyze your customer data to identify which customers are most likely to churn and why. With the aid of our solutions, you can implement an effective targeted retention campaign in a timely manner.

Recommendation systems allow companies to provide personalized offers and experiencess to their customers. Quality recommendations increase customer engagement and impact customer lifetime value.

InData Labs’ solutions are adjusted and tailored according to each company’s KPIs.

The assumption that different customers have different wants and needs is nothing new. Therefore, segmented marketing campaigns are as much as 50 percent more successful than unsegmented ones.

We help companies identify groups of customers seeking identical products or services and sharing common behavioral patterns to effectively divide a customer base into categories.

We help create custom segmentation strategies that are relevant to specific business models and objectives. Companies can then proactively target the right customer at the right time with the right message.

Lifetime value optimization starts from an accurate prediction of net profit that a customer generates throughout his or her interactions with your business.

Each business model faces different challenges predicting LTV. We incorporate predictive analytics and machine learning to ensure valuable results for each of our customers.

Setting optimal prices is vital for any business, both online and offline. It is critical to react to every change in the market and find the optimal balance that keeps customers satisfied.

Dynamic pricing is a perfect approach that helps find that kind of balance and makes the process of setting flexible prices much easier and faster.

InData Labs can help you build a dynamic pricing solution powered by machine learning to make optimal pricing decisions in real-time.

Even small differences in the quality of credit scoring models can lead to economically significant differences in the performance of credit portfolios.

We combine time-tested traditional data science approaches and advanced machine learning technology to build more accurate scoring models while preserving a simple interpretation of results.

Improved demand forecasting can reduce inventory and boost service levels of almost any company.

We build custom demand forecasting models that accumulate historical data with both internal and external factors which shape future demand trends. This approach guarantees that our clients get impeccable results.

With excellent data analysis, marketing professionals can better plan, develop, and implement future marketing campaigns. Predictive analytics gives marketers the analytical power to apply advanced marketing strategies that have more of an impact across a customer’s lifecycle and result in significant increases in revenue.

Predicting the right time, channel, and the best offer to send to a given prospect are a few examples where InData Labs’ machine learning experts can help you achieve unprecedented business gains.