web analytics tools comparison
DESCRIPTION
A 5-minute blitz presentation from the February 2011 Columbus Web Analytics Wednesday. This was a comparison of the major web analytics platforms -- Google Analytics, Adobe Omniture Sitecatalyst, Webtrends, and Coremetrics. The comparison was limited to the base tools -- not the various add-ons available.TRANSCRIPT
COPYRIGHT 2010 RESOURCE INTERACTIVE. PROPRIETARY AND CONFIDENTIAL.
Web Analytics Platforms
How (some of) the Main Ones Differ
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Included Excluded
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Included Excluded
Discover, Insight, Test&Target, SearchCenter,…
Segments (formerly Marketing Warehouse), Optimize, Apps, Social,…
Explore, Monitor, Benchmark,…
This is only a 5-minute overview!
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General Characterization
Market leader as an enterprise tool. Incredibly flexible and powerful…but with great power comes great complexity (implementation and maintenance)
“The Original”…but lost its way for a few years; good product, but playing catch-up
Built for eCommerce – from the tag structure all the way through the reporting interface
Free, easy to deploy, easy to use, very flexible…to a point
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Non-Considerations
SaaS vs. In-House vs. Either
API Availability and Excel
Integration
Campaign Tracking
First PartyCookie Support
All of ‘em have it
All of ‘em have it
All of ‘em have it
SaaS always an option, and in-house only makes sense in rare situations -- extreme privacy/security policies, long-term data archiving, etc.
Mobile Site Tracking
All of ‘em have it
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Free
Paid
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Where Majority of Configuration Occurs
Javascript on Page Builds
Image Request
Web Analytics Server Parses
Image Request
Reporting Interface Used to Extract Data
Data Stored in Web
Analytics System
Sitecatalyst
Google Analytics
Webtrends
Mechanism: props, evars, events
Pro: configuration at the point of user behavior
Con: easy to botch the implementation, and maintenance requires heavy IT support
Mechanism: profiles and filters
Pro: data still fairly “raw” and can be routed into multiple reporting areas
Con: customization at the point of data capture is limited / constrained
Sitecatalyst: VISTA rules
GA: Custom variablesWebtrends: Meta dataCoremetrics: Multiple tag types
Coremetrics
Mechanism: Segments
Pro: limited reliance on client-side tag configurations
Con: some limitations to flexibility
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Integration with Third-Party Meta Data
Meta Data Added
Example: Campaign name and channel
Javascript on Page Builds
Image Request
Web Analytics Server Parses
Image Request
Reporting Interfaced Use to Extract Data
Data Stored in Web
Analytics System
Not an option!
Translation files
SAINT classifications
Category Definition File (CDF)
K
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User-Level Data
Not an option and violates Terms of Service to capture in a reportable fashion
Available with Segments (formerly Marketing Warehouse): Added Cost
Available with Discover: Added Cost
Available with Explore: Added Cost
K
K
K
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Visitor SegmentationQuick and
EasyHarder / Limited
K(ASI slots…which requires
Warehouse)(Filtered profiles…or
Segments)
Admin access required
Coremetrics – not quite as easy GA
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Clickstream / Pathing – A Spectrum
“Previous” and “Next”
Page
Aggregated Click Paths
Page-Level Clickstream
Sitecatalyst
GoogleAnalytics
Webtrends
Any s.prop can have pathing enabled
Content groups and subgroups
K
Coremetrics
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Conversion FunnelsStandard user can create, and they can be applied historically• Fallout Report -- pageName-
driven (no wildcards)• Conversion Funnel – events-
driven (dependent on site-side tagging)
Entered Site
Viewed Product Details
Added to Cart
Placed Order K
Scenario Analysis
Conversion Funnel
Requires administrative access to set up and is only applied going forward from the point created; steps in the funnel can be individual or groups of pages
K
TruePath Funnels – requires appropriate user access and browser plugin; “built” by navigating the site and adding pages to the funnel
K
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Mobile App Tracking
iOS Android Blackberry
Windows Phone 7
Symbian
Webtrends* ü ü ü ü
Sitecatalyst ü ü ü ü
Coremetrics ü ü ü
Google Analytics ü ü
* Now in the mobile app development business, too, with the acquisition of Transpond
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Social Media
Reliance on user community to develop hacks / implementation options
First seriously to market, and still investing heavily
Fast follower, and taking the space seriously
Over-reliance on “impression tag*” for social media
* Coremetrics differentiator – geared towards display ad “view through” measurement; not a panacea, though
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