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.
- Provides a simple way to understand the 80/20 rule on cross-channel and multi-touch attribution
- Gives an unbiased view by leveraging advanced data science modeling of conversion paths (non-heuristic, non-linear and not based on last touch)
- Detects patterns for successful and unsuccessful conversions at scale
- Filter journeys by audience segment e.g. loyal vs new customers
- Compare attribution models (Markov, uniform, last click, first click)
- Customizable and scalable nodes which are highly scalable for content and engagement journeys
Consumer journey paths can be messy.
Interpreting them shouldn’t be.
Learn More About conDati RevenueLift
conDati RevenueLift™ Overview
An AI-powered platform engineered for marketers for campaign decisioning and predictive analytics.
Revenue Optimization
AI-driven process that recommends adjustments across 1,000s of variables for optimal revenue lift.
Performance Forecasting
Accurate forecasts that are form fit to seasonality, trends, and variables unique to your business.
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
Getting Started is Easy
Activate within minutes. Meaningful data insights in days.