The increasing importance of website analytics (or web analytics) in today’s digital world is accounted by the fact that more corporations are adopting effective web analytics tool for real-time insights on their website performance.

1. Comparing Google
Analytics Vs Adobe
Analytics Vs IBM
Coremetrics for
Web Analytics

2. The increasing importance of
website analytics (or web
analytics) in today’s digital world is
accounted by the fact that more
corporations are adopting
effective web analytics tool for
real-time insights on their website
performance.

3. The global market for data
analytics is getting more
competitive with start-up
companies starting to capture
their share of the web
analytics tools market along
with established companies
like Google, IBM, and Adobe.

4. Google Analytics Vs
Adobe Analytics

5. Google
Analytics Vs
Adobe
Analytics –
Key
Differences
Google Analytics
• Seamless implementation
• Intuitive dashboards that are
easier to customize
• Works well with data
analysis languages like R and
Python
• No dedicated customer
support team
• Free tool for the first 10
million hits with an
annual Google Analytics
pricing of $150,000 (for over
1 billion hits)
Adobe Analytics
• implementation is harder
• Less intuitive than Google
Analytics
• Continuous improvement
in integrating with third-
party tools
• 24×7 Dedicated customer
support
• More expensive Adobe
Analytics pricing starting
at $100,000 (and higher
for more website hits)

6. Google
Analytics Vs
Adobe
Analytics –
Features
Google Analytics
• A strong feature with its
support for multi-channel
funnels
• More structured with robust
reporting
• Works well with other
Google tools like AdWords
and Search Console
• Poor implementation
• Enabled by the Google Data
Studio tool that can connect
to Google Analytics data and
other data sources
Adobe Analytics
• Lacks support for
advanced attribution
modelling
• Ecommerce tracking in
Adobe Analytics is
stronger
• Built-in data connectors
for both Adobe and third-
party tools.
• Excellent implementation
with support for traffic or
hit variables
• Enabled by the Adobe
Analytics Workspace tool
for drag-and-drop report
building, along with the
Adobe Analytics Report
Builder as a plugin tool for
MS Excel data.

7. Google Analytics Vs Adobe Analytics – Pros
Google Analytics
Adobe Analytics
Works on a real-time basis.
Support for real-time business decisions
Structured business reporting tools
Data storage for entire customer
lifetime
Stores cookies for 15 years
Access to personal visitor data
Can track over 100 goals

8. Google Analytics
Vs Adobe
Analytics – Cons
Google Analytics
• Data storage only
for 24 months
• Stores cookies for
only 30 days
• Unable to capture
personal
information
• Can track only 4
goals
Adobe Analytics
• Delayed by around
2 hours
• No support for real-
time business
decisions
• Lacks structured
reporting

9. Adobe Analytics Vs IBM Coremetrics – Key Differences
Adobe Analytics IBM Coremetrics
Ease of
implementation
Depends largely on the solution
design and developer’s skills
Requires technical assistance
and implementation guide
Suited for
Larger corporations looking for
an enterprise-wide solution
Large corporation looking for
enterprise-wide
implementation. Recommended
for Retail E-commerce.
Usability
Not very user-friendly and
requires a steep learning curve
Easy to learn and use.
Customer
Support
24×7 Dedicated customer
support
Good but not exceptional
customer support
Pricing
Adobe Analytics pricing starting
at $100,000 (and higher for
more website hits)
Based on page views

10. Adobe Analytics Vs IBM Coremetrics – Pros and Cons
Adobe Analytics IBM Coremetrics
Pros
• Consistency of the reporting tools
• No downtime
• Good customer service
• Availability of customized digital
marketing solutions from an Adobe
Marketing Cloud partner.
• In-built metrics for E-commerce clients
including product views and added
products
• IBM Live Profile for individual user profile
• Provides a business edge in analytics with
the Coremetrics Digital Marketing
Optimization Suite.
Cons
• Limited in data visualization
• No support for real-time business
decisions
• Lacks structured reporting
• User interface not suited for mobile
devices
• Slow and less intuitive UI
• Difficult to find professionals skilled in this
tool

11. Google Analytics Vs IBM Coremetrics – Key Differences
Google Analytics 360 IBM Coremetrics
Ease of
implementation
Easy to implement if you already have the
Google Analytics tool.
Requires technical assistance and
implementation guide
Data Processing
10 million hits per month (with free
Google Analytics) with limit of 1 billion
hits (for Google Analytics 360)
Unlimited processing
Usability Very user-friendly Easy to learn and use.
Customer Support
No dedicated customer support team;
availability of free online resources
Good but not exceptional customer
support
Pricing
Google Analytics pricing is a flat fee of
$150,000 annually
Based on page views

12. Google Analytics Vs IBM Coremetrics – Features
Google Analytics 360 IBM Coremetrics
Data import No data import feature Multichannel data import capability
Data export Limited Multiple data export
Multichannel reporting Limited multichannel reporting Available
Mobile and social media tracking Available Available
Lifecycle analysis Not available Available
Attribution modelling Available Available

13. Google Analytics Vs IBM Coremetrics – Pros and Cons
Google Analytics 360 IBM Coremetrics
Pros
• Data-driven attribution modelling
• Building customized reports with
dynamic filters
• Fast processing of reports
• Multisite implementation
• Benchmark module
• Marketing Attribution reports
• In-built metrics for E-commerce clients
including product views and added
products
• IBM Live Profile for individual user
profile
Cons
• Profile filters not very intuitive
• Limited E-commerce reporting
• Data Mining or ad-hoc reports
• Outdated user interface

14. Which Tool Should You Use?
• While the Google
Analytics tool is
dominating the market
share, the other tools
from IBM and Adobe
have an impressive list of
features and capabilities.
Selecting the right tool
would be completely
dependent on your
organizational needs and
overall budget.

15. Thank you
www.countants.com