Only when big data becomes smart data does data develop its full potential. In crm they are the basis of a smooth customer relationship. Smartdata med in pre marketing makes it possible to find the perfect customer. So much for the theory. Here comes the practice. Smartdata med in pre marketing market launch of a migraine preparation we are convinced smartdata med is an important building block in pre marketing when addressing specific target groups. We were able to contribute our know how in this area to the market launch of a migraine preparation for migraine prophylaxis. The task was to identify which neurologists are primarily specialized in the treatment of migraine and to name their prioritization.
The scoring of the identified migraine specialists according to whatsapp mobile number list their prescription potential. This indication was a completely new area for our customer so there were no existing customers. The special requirement in this case neurologists usually treat both epilepsy and migraine because the clinical pictures often occur together. From this it follows that both indications are mostly stored equally on their website even if the respective medical focus is either on migraine or epilepsy. Our smartdata med method is based on keyword based and algorithm controlled scanning of websites. These prerequisites raised the question of how despite the existing incidence of epilepsy and migraine we can use our method to filter out those neurologists who specialize in the treatment of migraine and less in the treatment of epilepsy.
The answer through the medical expertise of an agency specializing in healthcare with data analysis know how and a solution oriented approach. Smartdata med in pre marketing finding and identifying potential customers in the first step we identified all the neurologists on the we ased on our keyword catalog by crawling the websites. In the second step we used further scanning to filter out the specialists in migraine and epilepsy in order to refine these results even further.
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