Benefits – mtf-data

Using specs and incentives data analytics to identify valuable business opportunities from the data to drive decisions and improve marketing return on investment (MROI).

Turning those insights into well-designed products and offers that delight customers.

Delivering those products and offers effectively to the marketplace. This goldmine of data represents a pivot-point moment for marketing and offers effectively to the market.

Companies that inject big data and analytics into their operation show productivity rates and profitability that are 5 percent to 6 percent hight than those of their peers.

Marketing return on investment (MROI)

Companies that inject big data and analytics into their operation show productivity rates and profitability that are 5 percent to 6 percent hight than those of their peers.

Do current budgets reflect where the greatest MROI value is?

Where do you need deep data analytical insights to guide model-mix. decisions? That is, what are the real trade-offs you need to make?

What’s the most perfect integrated analytical engine you could imagine, combining data from every source you could desire?

What’s a good first step you can implement immediately?

We have a group of expert researchers in the business of tractors, combine harvester.

All of them have many years of experience in this sector. Most of them come from agricultural dealers and are fully aware of the specifications and their configuration rules. They are also able to understand and interpret the different promotions that are formed in the market.

Companies that inject big data and analytics into their operation show productivity rates and profitability that are 5 percent to 6 percent hight than those of their peers.

Marketing return on investment (MROI)

Companies that inject big data and analytics into their operation show productivity rates and profitability that are 5 percent to 6 percent hight than those of their peers.

Do current budgets reflect where the greatest MROI value is?

Where do you need deep data analytical insights to guide model-mix. decisions? That is, what are the real trade-offs you need to make?

What’s the most perfect integrated analytical engine you could imagine, combining data from every source you could desire?

What’s a good first step you can implement immediately?

We have a group of expert researchers in the business of tractors, combine harvester.

All of them have many years of experience in this sector. Most of them come from agricultural dealers and are fully aware of the specifications and their configuration rules. They are also able to understand and interpret the different promotions that are formed in the market.

We have teams established in the main European countries: England, Germany, Spain, France, and Italy.

England

Germany

Spain

France

Italy