Targeted Sales Interventions
Combine sales, financial and commercial data to design various data-driven interventions.
Making better use of data in sales can take many forms. But the goal is usually the same: To offer customers what they need, when they need it, the way they need it. Using a combination of internal and external data can support the necessary individualization and cost-effective targeting of such interventions.
Depending on your needs, our experts can support you both in the design and implementation phases of such a project. Feel free to book a non-committal video call with our subject-matter expert to get an idea of the value, feasibility and scope. Typical projects are:
Which customer should be approached, through which channel, with what language, highlighting what product, at what price? Feed your customer data into modern machine learning models to make every mail or email as individualised as possible and give it multiple rounds of A/B-testing to learn. The result will speak for itself.
Like mailing campaigns, OoH can benefit from individualization just as well, thanks to ample open demographic and economic geo-data in combination with internal customer information.
While many companies have the data to implement data-driven sales, few are implementing it. A simple dashboard with some predictive algorithms underneath can be enough to give the sales team the information and confidence it needs.
For inspiration, feel free to browse through some of the highlighted case studies below.