Demographic data : things like age, gender, position, experience level, how does he or she contribute to a decision and of Phone Number Database course contact information. Firmographic data : data about the company. How much revenue or budget do they have? How many people work there? What industry are they in? Where Phone Number Database are they active? And so forth. Technographic data : What tools are currently being used? 2. Standardize the data policy Now that you know which data you want to collect, it is important to ensure that data quality is guaranteed.
Many companies have not Phone Number Database made a clear policy about this, which makes proliferation unavoidable. In order to take all interests into account, multiple stakeholders must be involved in the development and Phone Number Database implementation of this policy. It is essential that (especially) sales and marketing clearly define what a 'lead' is. Such agreements must be laid down in internal SLAs to create clarity and to optimize cooperation between all parties involved. More details about this including underlying principles (including Sirius Decisions ' demand waterfall ) I have described in this article on LinkedIn.
Either way, make sure everyone speaks the same language! Responsibility for the implementation of the policy In addition to clear agreements, a few people from different disciplines (for example sales, marketing and legal ) must also be Phone Number Database given (and feel) responsibility for the implementation of the policy. Careful consideration should also be given to who will be given rights to modify data and how this will be monitored. If you look at the organization of data, marketing data (in general) must be housed in a Marketing Automation Platform (MAP) and sales data in a CRM, which must be integrated with each other.