One thing must be clear: predictive marketing is not always right. A little prudence is necessary, especially if we are talking about important investments. So here are some things to note in order not to take excessive risks: Consider the unexpected . While providing almost always reliable statistics, predictive marketing is not omniscient. have sometimes quite high margins of unpredictability. If an estimate suggests that a marketing strategy works 99% of the time, it's not telling us that it will always work. Our advice? Rely on estimates, but keep the unexpected in mind and plan B in the drawer Consider the cost . There are predictive marketing tools and services that are affordable and accessible to everyone, while others require the analysis of large amounts of data and can be quite expensive.
Smaller companies should lean towards the former, which are mobile number list scalable and cost-effective. In a second moment they will then have the possibility to evaluate if and how to implement more advanced but more expensive tools Consider the data you have . If you're building your predictive marketing strategy from scratch, you may need to have a proprietary data set. Among other things, collecting and organizing data so that it is "readable" for a predictive marketing software or algorithm is a long job and may need to rely on specially trained teams Back to index Integrated, agile and automated.
The perfect ecosystem Incorporating predictive analysis into your marketing strategies means renewing method and technology . And you need to be sure of the presence of some features when you want to implement such a system. Predictive analytics must be: Model-based . Technology is not enough, we need tools capable of managing data organization and analysis by exploiting specific models that allow accurate and reliable forecasts Integrable . It is essential to choose models, software and tools that can integrate marketing and other business areas (sales and assistance, for example) Simple to use . On the software side.