OceanFrogs experts took help from Time-Series Analyses, Machine Learning, and Data Enrichment Techniques to dive into large datasets that Maersk have. Data Enrichment helped bring more dimensions on company data. Classification modeling techniques generated insights on customer journeys by geography, product, marketing campaigns used, and time of the year.
OceanFrogs brought data from a large number of silos and disparate data sources, de-duplicated contact and company data information, and built the knowledge graph so that insights could be generated. It evolved into a customer data platform (CDP) that can be asked questions on subscription rate, customer coverage, marketing campaign effectiveness, customer engagement with Maersk and customer’s journeys.
OceanFrogs not only studied un-subscription trends, the return on investments, subscriber and un-subscriber coverage, but also examined the top accounts of Maersk, the pages visited on Maersk’s site, the transaction data and provided insights and recommendations that Maersk could follow.
New decision-makers for their target accounts and existing customers. OceanFrogs applied mature modeling techniques such as Recency Frequency Monetary model to classify Maersk’s customers in various categories such as champions, loyal, about to lose, lost customers. This allowed us
Covid scenario – There is no use of a study in the current scenario if it does not consider the impact of Covid. Marketing team at Maersk wanted to understand customer behavior before and during Covid. Recency, Frequency, and volume of shipments were compared for two time periods. This helped identify customers who might have been impacted due to Covid.