Customer Targeting Engine

Without accurate tools, marketing organizations have limited understanding of which customers to target with which marketing channels, content, and messaging. They also have limited understanding of which targeted customers are most likely to make a purchase and when. This hampers the sales organization in their forecasting accuracy and conversion efficiency. Without good insight to customers’ buying habits and plans, the revenue lift may be suboptimal from marketing campaigns and tactics. Additionally, the cost to target customers or implement a targeted marketing strategy is very high.

  • Our capabilities:

    Develop a customer recommendation engine that provides insights on products that customers are most likely to buy to build a sales pipeline and help lift revenue results. Unify builds machine learning models using R and/or Python code for customer purchase prediction as well as a front end that provides contextual recommendations based on the results. The organization receives insights on the next logical purchase which are loaded into a custom front-end user experience for internal sales, marketing, and service, or for display direct-to-customer.

  • The solution we provide:

    Success of our solution is largely attributed to a close coordination between data scientists and business end-users, ensuring that recommendations are well-leveraged for business results. Our commitment to operational excellence, ensures continued growth and improvements.

  • Value Prop and Benefits of our solution include:

    Increase revenue uplift through personalization of marketing and sales engagement.

    Increase influenced sales pipeline and improve marketing efficiency; reduce cost to target customers.

    Increase agility and flexibility of marketers and sellers.

    Improved operational efficiency and scalability with an infrastructure to power sales growth through improved forecasting accuracy.

Our capabilities:

Develop a customer recommendation engine that provides insights on products that customers are most likely to buy to build a sales pipeline and help lift revenue results. Unify builds machine learning models using R and/or Python code for customer purchase prediction as well as a front end that provides contextual recommendations based on the results. The organization receives insights on the next logical purchase which are loaded into a custom front-end user experience for internal sales, marketing, and service, or for display direct-to-customer.

The solution we provide:

Success of our solution is largely attributed to a close coordination between data scientists and business end-users, ensuring that recommendations are well-leveraged for business results. Our commitment to operational excellence, ensures continued growth and improvements.

Value Prop and Benefits of our solution include:

Increase revenue uplift through personalization of marketing and sales engagement.

Increase influenced sales pipeline and improve marketing efficiency; reduce cost to target customers.

Increase agility and flexibility of marketers and sellers.

Improved operational efficiency and scalability with an infrastructure to power sales growth through improved forecasting accuracy.