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APPROACH

The dated excel tool?was replaced?with a?completely redesigned?state-of-the-art?R-shiny?based?tool

Identify features and functionality

  • Identified improvements to be made across?the tool?from?the end-user perspective
  • Triangulated?client requirements?with our ideas to?design an intuitive,?fast and?robust framework

Overhaul?data-processes

  • Created?a robust data-mart with information on an exhaustive set of metrics including nights, revenue, incremental revenue, number of targets, number of registrations, activation, campaign costs across offer groups and regions
  • Standardized?the?back-end?processes?across offer types

Bake in functionalities?for

  • Including?new input parameters?like weekend special offers, credit card offers etc.
  • Selecting?multiple reference offers
  • Allotting?up to 3 offers in parallel or series to the same customer group
  • Comparing, saving & reloading planning iterations

Deployment

  • Made it centrally accessible on a server for the clients to use

KEY BENEFITS

The solution enabled the clients to

  • Instantly view results that allowed experimentation with offer combination before completion
  • Integrate results tab making it easy to compare and change
  • Pick up and drop anywhere?with options?to save?and?reload?plans
  • Determine the right set of offers?with optimized estimation of campaign liability

RESULTS

The tool was well adopted by the client (in all the 2019 global promotions) and replaced the existing campaign planning systems?owing to:

  • Efficient?campaign cost estimation
  • Reduced runtime from 1 hour per campaign to 1 min

?

  • Increased accuracy: Better feedback system?–?learnings from multiple past campaigns, as against just one.
  • Ability to?design complex campaigns: The solution was Instrumental in rolling out campaigns with up to 6 deals per offer group?globally?and planning campaigns for a specific set of customers (like credit card users)

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