AI use cases for marketing
Generate personalised content, analyse the voice of the customer and optimise your campaigns with AI.
Marketing content generation
Keeping a regular publishing rhythm means producing in volume while maintaining a consistent brand voice and search standards. With the same headcount, frequency is what gives way first, followed by organic visibility.
Email campaign personalisation
Sending the same email to the whole database has reached its limit: spam filters now push generic campaigns aside, and recipients unsubscribe. Segmenting finely and then writing a message for each segment is a workload marketing teams struggle to absorb by hand.
Voice of the customer analysis
Online reviews, NPS responses, social comments and field feedback form a wealth of material that human reading only covers by sampling. Emerging trends then surface months late, once they are already weighing on sales.
Social media monitoring and content creation
A lively social presence takes two efforts at once: following the topics on the rise and producing in each platform's own formats. Community managers constantly trade one off against the other, and responsiveness to the news pays the price.
Creative brief generation
An incomplete brief is paid for later, in back-and-forth with in-house creatives or the agency, and in days lost on the campaign launch. Writing a complete brief takes time just when the schedule leaves the least of it.
Product descriptions and sales copy
Across a large catalogue, writing product descriptions becomes volume work that nobody can carry out to the same standard from the first item to the last. Descriptions vary in structure, underperform in search and list features where the customer is looking for a benefit.
Market research summaries
Sector studies and competitor reports pile up faster than they can be read. Drawing the lessons from a hundred-page document takes a day, so the conclusions arrive once the decision has been made.
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