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Decision Science


Optimized Decision Science

Marketers and fundraisers must continually improve their campaign performance, converting more prospects into customers or donors, while maximizing the value of their marketing investments. For most, the traditional methods of instinct, routine segmentation and crude response modeling have been tapped out. It’s time for the next step, and it’s a big one.

It’s time to gain new intelligence from the organization’s deepest big data sources. Traditional analysis is descriptive, only using a few dimensions that analysts can apply. Marketing analytics on prospect data must now become predictive and prescriptive, meaning that the data will not only tell you who is likely to respond, but will also tell you what, when, where and, especially, why they want to be engaged with your organization.

This is the power of data modeling and machine learning and they’re the greatest opportunity looking forward. It’s all about harnessing a sophisticated engine to drive the multi-channel marketing or fundraising from beginning to end. It’s time to solve for the metrics that the organization establishes as its goals.

This kind of power and precision is truly unprecedented in the marketplace, and those who adopt it win big.

Learn more

Optimized Decision Science

Marketers and fundraisers must continually improve their campaign performance, converting more prospects into customers or donors, while maximizing the value of their marketing investments. For most, the traditional methods of instinct, routine segmentation and crude response modeling have been tapped out. It’s time for the next step, and it’s a big one.

It’s time to gain new intelligence from the organization’s deepest big data sources. Traditional analysis is descriptive, only using a few dimensions that analysts can apply. Marketing analytics on prospect data must now become predictive and prescriptive, meaning that the data will not only tell you who is likely to respond, but will also tell you what, when, where and, especially, why they want to be engaged with your organization.

This is the power of data modeling and machine learning and they’re the greatest opportunity looking forward. It’s all about harnessing a sophisticated engine to drive the multi-channel marketing or fundraising from beginning to end. It’s time to solve for the metrics that the organization establishes as its goals.

This kind of power and precision is truly unprecedented in the marketplace, and those who adopt it win big.

Learn more

Optimized Decision Science

Marketers and fundraisers must continually improve their campaign performance, converting more prospects into customers or donors, while maximizing the value of their marketing investments. For most, the traditional methods of instinct, routine segmentation and crude response modeling have been tapped out. It’s time for the next step, and it’s a big one.

It’s time to gain new intelligence from the organization’s deepest big data sources. Traditional analysis is descriptive, only using a few dimensions that analysts can apply. Marketing analytics on prospect data must now become predictive and prescriptive, meaning that the data will not only tell you who is likely to respond, but will also tell you what, when, where and, especially, why they want to be engaged with your organization.

This is the power of data modeling and machine learning and they’re the greatest opportunity looking forward. It’s all about harnessing a sophisticated engine to drive the multi-channel marketing or fundraising from beginning to end. It’s time to solve for the metrics that the organization establishes as its goals.

This kind of power and precision is truly unprecedented in the marketplace, and those who adopt it win big.

Learn more

Optimized Decision Science

Marketers and fundraisers must continually improve their campaign performance, converting more prospects into customers or donors, while maximizing the value of their marketing investments. For most, the traditional methods of instinct, routine segmentation and crude response modeling have been tapped out. It’s time for the next step, and it’s a big one.

It’s time to gain new intelligence from the organization’s deepest big data sources. Traditional analysis is descriptive, only using a few dimensions that analysts can apply. Marketing analytics on prospect data must now become predictive and prescriptive, meaning that the data will not only tell you who is likely to respond, but will also tell you what, when, where and, especially, why they want to be engaged with your organization.

This is the power of data modeling and machine learning and they’re the greatest opportunity looking forward. It’s all about harnessing a sophisticated engine to drive the multi-channel marketing or fundraising from beginning to end. It’s time to solve for the metrics that the organization establishes as its goals.

This kind of power and precision is truly unprecedented in the marketplace, and those who adopt it win big.

Learn more