conDati RevenueLift™ Feature:

Journey Attribution

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Budget Allocation by Channel

Algorithm Driven Cross-Channel Attribution

Algorithmic, non-heuristic approach to attribution modeling for a non-biased view across channels and touch points. This helps marketers understand the most valuable touch points (not only the last touch), the next best action for engagement, and patterns detection that leads to conversions.

Consumer journey paths can be messy.
Interpreting them shouldn’t be.

We take an accurate, non-biased approach to attribution using a network model to assign conversion, revenue and cost values to touch points along the buyer journey. Both direct and indirect impact on conversions are taken into account.

Journey Attribution

12/22/2019

Budget reallocation changes are then recommended in an easy to interpret format.

Ad spend reallocation by channel

Recommendations can also be applied at the campaign level to drive further revenue lift.

Ad spend reallocation by campaign

Learn More About conDati RevenueLift

RevenueLift

conDati RevenueLift™ Overview

An AI-powered platform engineered for marketers for campaign decisioning and predictive analytics.

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Revenue Optimization

Revenue Optimization

AI-driven process that recommends adjustments across 1,000s of variables for optimal revenue lift.

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Forecasting

Performance Forecasting

Accurate forecasts that are form fit to seasonality, trends, and variables unique to your business.

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Pepperdine University

Right now, it’s a cumbersome manual process to roll up the different data sets, and even then we can only see results one slice at a time. With conDati, we will be able to view and compare the success of all the different marketing activities across all five schools. And we’ll be able to see it whenever we want

Matthew Midura
Associate VP for Integrated Marketing & Communications

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