ADVANCED ANALYTICS & ATTRIBUTION ON REVJET

As Fortune 500 marketers look to create multi-step, omni-channel buyer journeys, they face increasing complexity in determining which channels and creative experiences meaningfully impact the bottom line. Whereas in the past metrics like last touch or CTR were the norm, modern marketers need to understand what drives performance in significantly more granularity. The RevJet Attribution Server (RAS) provides dependable, actionable insights to help brands measure and optimize campaigns across channels and devices.

RevJet Univeral ID (RUID)

RevJet Univeral ID (RUID)

With the RevJet Univeral ID (RUID), marketers synchronize IDs throughout the ad tech ecosystem in real-time. With a new, detailed understanding of the drivers of performance, marketers can test or adjust competing attribution models on the fly. Then, using RevJet’s intuitive Insight Engine UI, marketers can now control journey management by managing journeys by frequency, assuring the best visual and data-powered experiences get delivered across all marketing channels at scale.

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CONFIGURING NEXT-GEN ATTRIBUTION ON REVJET

RevJet includes a powerful modeling engine for understanding the impact of marketing on driving business goals. The RevJet Attribution Server (RAS) receives a feed of all “raw events” that occur in your ads, your site (via the RevJet Universal Pixel) and offline events (via RevJet Data Manager). For each event, it builds a data join to all prior events using all available methods. These include:

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Any Session ID supported by the browser (if these events occur in the same session)
The RevJet visitor ID (either 1st party of 3rd parties)
Any ID found in the RevJet Universal ID graph
Any token either passed on the click or stored with the Chrome Privacy Sandbox and related technologies

Import of Privileged Attribution Information

Import of Privileged Attribution Information

For retargeting and other remarketing use-cases, your own 1st-party cookie provides insight into consumer behavior that third parties are unable to access. However, for other use cases, where the consumer first begins their journey on a publisher’s site – only the publisher has the 1st-party cookie to be able to perform significant “view-through-conversion” VTC attribution. Walled gardens (e.g., Facebook, Amazon) set a 1st-party cookie that enables their VTC attribution. Such VTC data is becoming difficult to replicate elsewhere without resorting to probabilistic IDs (i.e., fingerprinting). For this reason RevJet offers API level data-import from these publishers.

For this reason RevJet offers API level data-import from these publishers.

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Offline Attribution

Offline Attribution

The RevJet Data Manager can be configured to ingest a stream of offline events (e.g. cash register data). Each event is a separate row accompanied by some form of user ID that is presented in the RevJet Universal ID graph.

These data feeds can then be configured to populate the user-profile table and to also continue on to the RevJet Attribution Server. In RAS the offline events are processed and attributed the same way as any on-line events.

LOG-LEVEL ANALYTICS

For those marketers who prefer to analyze MTA within another solution, RevJet reporting provides easy access to performance data via API and data file transfer -- all the way down to log-level data. RevJet has a number of features that work together to support the new reality. These include:

First Party Ad Serving (1PAS)
Universal Identity (RUID) Graph
Attribution Server (RAS)