Measuring how marketing efforts influence conversions can be difficult, especially when your customers interact with multiple marketing channels over time before converting. Last fall, we launched Multi-Channel Funnels in Google Analytics, a new set of reports that help shed light on the full path users follow to conversion, rather than just the last click. One request we’ve had since the beginning was to make this data available via an API to allow developers to extend and automate use cases with the data. So today we’re releasing the new Google Analytics Multi-Channel Funnels Reporting API .metrics like Assisted Conversions, First Interactions Conversions, and Last Interaction conversions, as well as Top Paths, Path Length and Time Lag, to incorporate conversion path data into your applications. Key use cases we’ve seen so far involve combining this conversion path data with other data sources, such as cost data, creating new visualizations, as well as using this data to automate processes such as bidding.Cardinal Path used the new Multi-Channel Funnels API, Analytics Canvas ETL (Extract, Transform, Load) and Tableau Software to help their client, C3 Presents Lollapalooza ticket sales in an analysis dubbed “MCF DNA.” The outcome was a new visualization, similar to a DNA graph, that helped shed light on how channels appeared throughout the conversion funnel.
MCF DNA Visualization in Tableu Software
Mazeberry , an analytics company from France, helped their client 123Fleurs decrease customer acquisition costs by 20% by integrating data from the Multi-Channel Funnels API into a new reporting framework. Their application, Mazeberry Express , combines media cost and full conversion path data to provide new Cost Per Acquisition (CPA) and Return on Investment (ROI) metrics that provide a more complete understanding of how online channels are working together to influence conversions.
Mazeberry Express Screenshot - Focus on a Channel
upgrade now if you haven’t already (see our migration guide ). We look forward to seeing how you make use of this new data source. Posted by John Huang, Software Engineer
