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Analytical Intelligence

A deferred asset of highest worth with the brands today is their customer data. Customer knowledge is the principal basis for allocating resources and extracting maximum value.

Segmenting customers, according to their needs, behaviours, demographics and other critical parameters, aims to determine the profit potential of each segment by analysing its revenue and cost impacts.

Customer Segmentation

Customer Segmentation

A deferred asset of highest worth with the brands today is their customer data. Customer knowledge is the principal basis for allocating resources and extracting maximum value.

Segmenting customers, according to their needs, behaviours, demographics and other critical parameters, aims to determine the profit potential of each segment by analysing its revenue and cost impacts.

Predictive Analytics

Predictive Analytics

Knowledge about existing customers empowers the brand to have a much more accurate view of the future scenario. It becomes a reality to know the areas like:

  •  Discovery of the causes and variables that influence customer behaviour.
  •  Acquisition pattern analysis
  •  Purchase propensity prediction
  •  Purchase pattern identification
  •  Churn modelling
  •  Next Best Recommendation
Loyalty Analytics

Loyalty Analytics

In the present world, the brands are provided with various options to purchase loyalty without understanding the elemental fact that “Loyalty cannot be bought but can only be earned.” Without context, “engagement” is just noise. Contextual engagement is possible only through technology that helps marketers understand what an individual consumer’s behaviours, both historically and in real-time.

Demand And Inventory Optimisation

Demand And Inventory Optimisation

Data is the new oil. The value in this overused term is in the fact that with the right use of existing data, brands can create a platform to optimise their operational efforts in the areas of inventory handling such as:

  •  Assortment Planning and shelf storage
  •  Product placement /Arrangement
  •  Optimisation of slow-moving product
  •  The minimum cost of the average on-hand inventory
  •  Safety stocks level prediction
  •  Build Contingencies for pipeline inventory
Marketing Mix Modelling

Marketing Mix Modelling

With the evolution of omnichannel marketing, attributing sales/revenue impact of money spent on each marketing activity has become a tiresome task for all the marketing managers. Hence analytics can help solve the business problem by assisting brands to:

  •  Quantify the performance of each element of the marketing mix.
  •  Find insightsfor media optimisation
  •  Business intelligence analysis, scenario and media planning, and budget optimisation.