‘Identifying potential loyal readers is beneficial not only for maximising marketing budgets, but also creating personalised reader experiences.’
Reader engagement is up at the South China Morning Post with a machine learning algorithm that tracks user loyalty, reports INMA. The Post wrote the story.
The Hong Kong paper says it developed a predictive algorithm for the task and called it Bluefin.
Results were used to optimize marketing campaigns. Reader engagement went up 58-78%. Costs for marketing improved by 36-52%
The tuna species is known to be loyal to its birthplace. SCMP says the name was also appropriate because ‘just as the bluefin tuna are critically endangered, loyal readers are increasingly rare. Both need protection and cultivation to return to healthy population levels.’
The next steps include predicting if new users can become loyal users