Dynamic models that react quickly to key triggers

Category : Marketing Analytics

Retail

CONTEXT

A fast-growing bakery restaurant was planning to digitize and customize its promotional campaigns via multiple channels. It needed consulants who deeply understood marketing analytics in order to come up with real-time reactionary models to attract customers.

RESOLUTION

Our Marketing Data Scientists helped the client develop an end-to-end solution which was able to automatically identify key triggers such as local events, holidays and weather fluctuations. Additionally, it was able to rank customers based on their propensity to react to these triggers. Based upon these model outputs, the system was designed to cross-sell and upsell appropriate offers which were customized for each individual generating higher marginal value.

RESULT

Through the usage of marketing mix models created by our experts, the restaurant was able to capture a higher than expected market share for key events with the end result being a significant revenue boost over 50+ days of a given year.

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