Adobe Analytics vs Google Analytcs what is differences between them

Are you confused between Marketo, Adobe Analytics, and Google Analytics 360? Here's the comparison to differentiate

Adobe Analytics and Google Analytics 360 are same?

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Let’s take a look at the differences between Adobe Analytics and Google Analytics 360. We’ll explore several key areas that can help you determine which solution is right for your brand.

ADOBE ANALYTICS

Flexible, drag-and-drop UI for quick ad hoc reports

GOOGLE ANALYTICS 360

Rigid UI and platform architecture extends ad hoc report building time

No data sampling needed to generate custom reports

Data sampling needed when monthly hit allotment is exceeded or when custom requests are made (i.e., add a secondary dimension)

Abundant mathematical, sequential, and statistical calculated metrics from a broader set of variables and operators

Capped at 50 calculated metrics using basic mathematical operators

ADOBE ANALYTICS

Intelligent alerts automatically apply context to unusual signals before sending alert

GOOGLE ANALYTICS 360

Automated alerts are based solely on spikes and dips in traffic outside of expected norms

Anomaly detection reveals spikes and craters outside expected norms within any data dimension

Detects anomalies but, due to omitted channels and data sampling, detection can be inaccurate

Contribution analysis unlocks the root cause driving anomalies

Machine learning can be applied to attribution across digital channels and may help optimize ad spend, but no root cause analysis available

Audience clustering automatically discovers statistically valid segments

No machine learning that can discover or cluster audiences by similarities or differences between segments

Becomes more accurate as data from additional channels is ingested

Lack of data because of omitted channels reduces accuracy

ADOBE ANALYTICS

Segment analysis includes sequential segmentation, segment stacking, segment compare, and flow segmentation

GOOGLE ANALYTICS 360

Cannot accurately reveal customer engagement behavior due to limited pathing and fallout analysis capabilities

Bidirectional segment sharing with native and non-native customer engagement tools

Allows segment sharing with DoubleClick and AdWords accounts

Flexible audience targeting with omnichannel variables to slice-and-dice audience data

Limited audience targeting due to data silos, omitted channels, and fewer variables available

 

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