Predictive analytics revolutionises how we approach marketing. For a healthcare client, we used predictive analytics to identify when people were most likely to seek health services based on seasonal trends and past behaviours. This allowed us to time our advertising campaigns for maximum impact, ensuring that the client’s services were top of mind when consumers most likely needed them.
Here are other ways we utilise predictive analytics:
Seasonal Trend Analysis: To forecast future trends, we scrutinise past sales and engagement metrics. Take fitness-related purchases, for example. A surge every January prompts us to intensify our marketing in that category as December winds down.
Behavioural Forecasting: Machine learning algorithms help us anticipate a customer’s next move. By studying past interactions and purchases, we get a good sense of what might catch their eye next.
ROI Predictions: Before launching any campaign, we use predictive models to estimate its success, helping us allocate resources more effectively.