Advanced Analytics at Lera

At Lera, we help you discover, interpret, and communicate meaningful patterns in data and apply those patterns towards effective decision making. Our Advanced Analytics solutions are infused with powerful and interactive visualizations that enable you to transform information into insights. We connect disparate data to create an accurate canvas of your operations in real time illuminating opportunities and inspiring action.

Recommendation Engines

Purchase pattern analysis would help maximize sales with recommendations of the right offerings to the right customer base. Tailoring offerings based on past buying behavior, relevance and preferences would result in higher lead conversion rates for companies and would drive up the sales numbers.

Churn Prevention Analytics

Transform data across touchpoints

With the help of our analytics engine, it would be possible to track and analyze the behavior of customers across various touch points and create a strategy that is based on a 360° view of the client’s data.

Track customer behavioral patterns

Putting together the past data of interest, preferences and purchases of a customer would enable organizations to calculate loyalty scores for each customer and trigger actions to ensure engagement and retention based on the demographic that each customer falls under.

Target the right customer segments

Analyzing behavioral patterns can help strategize outreach programs for customers that are data driven, ensuring maximum upward migration and prevention of churn.

Analyze variables that impact churn

Predictive analytics could help organizations leverage the right parameters and variables on user journey data to anticipate churn and trigger the right set of actions and offerings that could mitigate the risk of losing customers.

Identify the customers most likely to churn

Analytics could help in the prediction of the customers most likely to churn based on their behavior and identify approaches that could ensure the actions to prevent defection could be undertaken prior to it.

Fraud Analytics

IP Geolocation

Analytics could help determine the likelihood of fraud based on location and IP address information by identifying anomalies in correlation to past data.

Descriptive Analytics

Our analytics would enable organizations to define rules to identify and flag deviation from usual behavior with respect to individual customers.

Predictive Analytics

Historical observations can be used to determine outliers and possibility of fraud and distinguish them from genuine customer interactions.

Insights Dashboard

It is possible to collate and visualize activities to flag suspicious behavior to facilitate the fraud screening process using our analytics.

Automated Workflow

Workflows can be automated for the rapid screening, detection and blocking of suspicious devices and the cancellation of fraudulent orders.

Social Media Analytics

Detecting relationships between entities on various online interactive platforms and using it to identify anomalies in behavior that are indicative of fraud is made possible with our analytical engines.

Sentiment Analysis

We use NLP (natural language processing) based algorithms to analyze conversations on social media platforms, to arrive at a net score that depicts the sentimental inclination towards the brand.

Trend Analysis

We compare your previous and present reports to figure out the key sentiment drivers of marketing initiatives on social media pages, helping you draw insights on prevailing trends.

Brand Monitoring

Our team of experts review your competitors’ websites through their social media pages and help your organization build a strong presence across all social media platforms.