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Data-driven 

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Excel in your market, and make data driven decisions, nothing is more logical than binaries. 

Recommendation engine

A recommendation engine is a filtering system that seeks to predict the "rating" or "preference" a user would give to an item

Market basket analysis 

Market Basket Analysis is one of the key techniques used by large retailers to uncover associations between items. It works by looking for combinations of items that occur together frequently in transactions. To put it another way, it allows retailers to identify relationships between the items that people buy.

Attribution Modelling 

An attribution model is the rule, or set of rules, that determines how credit for sales and conversions is assigned to touchpoints in conversion paths. For example, the Last Interaction model in Analytics assigns 100% credit to the final touchpoints (i.e., clicks) that immediately precede sales or conversions.

Pricing Analytics 

Pricing analytics are the metrics and associated tools used to understand how pricing activities affect the overall business, analyze the profitability of specific price points, and optimize a business's pricing strategy for maximum revenue.

Marketing mix model 

Marketing mix modeling (MMM) is statistical analysis such as multivariate regressions on sales and marketing time series data to estimate the impact of various marketing tactics on sales and then forecast the impact of future sets of tactics. It is often used to optimize advertising mix and promotional tactics with respect to sales revenue or profit.

Cluster analysis

Cluster analysis is the use of a mathematical model to discover groups of similar customers based on finding the smallest variations among customers within each group.

Multivariate time series models 

Time series forecasting occurs when you make scientific predictions based on historical time stamped data. It involves building models through historical analysis and using them to make observations and drive future strategic decision-making.

RFM analysis

RFM analysis is a marketing technique used to quantitatively rank and group customers based on the recency, frequency and monetary total of their recent transactions to identify the best customers and perform targeted marketing campaigns.

Churn analytics 

Companies use churn analytics to measure the rate at which customers quit the product, site, or service. It answers the questions “Are we losing customers?” and “If so, how?” to allow teams to take action. Lower churn rates lead to happier customers, larger margins, and higher profits.

Purchase likelihood

A propensity to purchase is a type of a predictive behavior model. The purpose of a propensity to purchase model is to understand the likelihood a customer will be predisposed to purchasing a product based on purchases they've already made at some point in time.