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At a Glance
Market Segments
Enterprise (43.6% of reviews)
Enterprise (51.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Adobe Analytics
Star Rating
(1,127)4.2 out of 5
Market Segments
Enterprise (43.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Adobe AnalyticsIBM Watson Studio
Star Rating
(164)4.2 out of 5
Market Segments
Enterprise (51.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Watson StudioSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Adobe Analytics excels in session tracking with a score of 8.6, allowing for detailed insights into user behavior, while IBM Watson Studio's engagement metrics score slightly higher at 8.8, indicating a stronger focus on user interaction analysis.
- Reviewers mention that Adobe Analytics offers robust custom event tracking capabilities, scoring 8.6, which is crucial for businesses looking to tailor their analytics to specific user actions. In contrast, IBM Watson Studio shines with its data blending feature, scoring 9.1, which allows users to combine data from various sources seamlessly.
- G2 users highlight that Adobe Analytics provides excellent real-time reporting features with a score of 8.2, making it easier for businesses to make immediate decisions based on current data. However, IBM Watson Studio's data visualization capabilities, scoring 8.6, are noted for their clarity and effectiveness in presenting complex data.
- Users on G2 report that Adobe Analytics has a strong focus on user segmentation with a score of 8.5, which helps businesses target specific audiences effectively. Conversely, IBM Watson Studio's model training capabilities, scoring 9.0, are praised for their flexibility and power in developing predictive models.
- Reviewers mention that Adobe Analytics has a slightly lower ease of use score at 7.4, which can be a barrier for new users, while IBM Watson Studio's ease of use score of 8.0 indicates a more user-friendly interface, making it easier for teams to adopt.
- Users say that Adobe Analytics is particularly strong in attribution modeling with a score of 8.3, which is essential for understanding the effectiveness of marketing efforts. In contrast, IBM Watson Studio's pre-built algorithms score of 9.2 is highlighted for simplifying the process of implementing machine learning solutions.
Pricing
Entry-Level Pricing
Adobe Analytics
No pricing availableIBM Watson Studio
No pricing availableFree Trial
Adobe Analytics
No trial information availableIBM Watson Studio
No trial information availableRatings
Meets Requirements
8.6
882
8.3
121
Ease of Use
7.5
938
8.0
122
Ease of Setup
7.2
377
7.6
100
Ease of Admin
7.6
279
7.8
95
Quality of Support
7.8
808
8.2
113
Has the product been a good partner in doing business?
8.0
279
8.0
94
Product Direction (% positive)
7.6
843
8.5
115
Features by Category
Metrics
8.6
605
Not enough data
8.4
599
Not enough data
8.4
605
Not enough data
8.4
579
Not enough data
8.4
564
Not enough data
8.1
542
Not enough data
8.1
562
Not enough data
8.5
568
Not enough data
8.2
533
Not enough data
Reporting
8.3
593
Not enough data
8.3
580
Not enough data
8.1
554
Not enough data
8.4
573
Not enough data
8.1
512
Not enough data
8.0
496
Not enough data
8.5
595
Not enough data
Other
8.4
553
Not enough data
8.3
531
Not enough data
8.1
499
Not enough data
8.5
548
Not enough data
8.4
476
Not enough data
8.0
434
Not enough data
8.2
459
Not enough data
Agentic AI - Digital Analytics
8.5
40
Not enough data
8.8
40
Not enough data
8.6
40
Not enough data
8.7
41
Not enough data
Administration
8.1
454
Not enough data
8.2
444
Not enough data
8.4
550
Not enough data
8.4
531
Not enough data
User Identification
8.4
206
Not enough data
8.6
210
Not enough data
8.5
202
Not enough data
Tracking & Reporting
8.7
206
Not enough data
8.4
211
Not enough data
8.4
207
Not enough data
8.7
220
Not enough data
8.5
212
Not enough data
8.6
204
Not enough data
Metrics
9.0
80
Not enough data
8.7
81
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Source Access
Not enough data
9.0
13
Not enough data
9.3
12
Not enough data
9.2
14
Data Interaction
Not enough data
9.0
14
Not enough data
9.2
12
Not enough data
9.4
12
Not enough data
9.1
13
Not enough data
9.2
12
Not enough data
9.2
13
Not enough data
9.1
13
Not enough data
9.6
12
Data Exporting
Not enough data
9.4
12
Not enough data
9.2
12
Not enough data
9.2
12
Generative AI
Not enough data
Not enough data
Deployment
Not enough data
8.8
8
Not enough data
9.2
8
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
8.8
8
Deployment
Not enough data
9.0
8
Not enough data
8.8
8
Not enough data
8.8
8
Not enough data
9.4
8
Not enough data
9.2
8
Management
Not enough data
9.3
7
Not enough data
9.6
8
Not enough data
9.0
7
Not enough data
9.0
8
Operations
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
9.3
7
Management
Not enough data
9.5
7
Not enough data
9.4
8
Not enough data
8.8
7
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
Not enough data
9.0
12
Model Development
Not enough data
8.5
33
Not enough data
8.8
34
Not enough data
8.5
35
Not enough data
8.3
36
Model Development
Not enough data
9.4
13
Machine/Deep Learning Services
Not enough data
8.5
27
Not enough data
8.5
34
Not enough data
Feature Not Available
Not enough data
8.6
28
Machine/Deep Learning Services
Not enough data
8.9
12
Not enough data
9.0
12
Deployment
Not enough data
8.5
32
Not enough data
8.6
33
Not enough data
8.6
30
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Audiences
9.2
24
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
9.2
24
Not enough data
Data Analysis
Feature Not Available
Not enough data
9.5
24
Not enough data
9.3
24
Not enough data
9.2
24
Not enough data
Administration
9.4
24
Not enough data
8.9
24
Not enough data
9.1
24
Not enough data
Agentic AI - Audience Intelligence Platforms
9.2
22
Not enough data
9.2
22
Not enough data
9.2
22
Not enough data
9.3
22
Not enough data
Setup
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
9.7
6
Data
Not enough data
8.6
7
Not enough data
8.6
7
Analysis
Not enough data
9.7
6
Not enough data
8.1
7
Not enough data
8.1
7
Not enough data
8.3
7
Not enough data
8.8
7
Not enough data
8.1
7
Not enough data
7.9
7
Customization
Not enough data
9.0
7
Not enough data
8.1
7
Not enough data
9.2
6
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Feature Not Available
8.0
14
Feature Not Available
8.4
15
Feature Not Available
8.1
15
Data Analysis
9.1
68
8.7
15
9.0
66
9.0
14
Decision Making
Feature Not Available
8.6
14
9.0
67
8.6
15
9.0
68
8.3
13
9.0
65
8.7
14
Generative AI
8.8
39
9.3
5
9.1
39
8.3
5
Metrics
9.0
80
Not enough data
8.7
81
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Categories
Categories
Shared Categories
Adobe Analytics and IBM Watson Studio are categorized as Predictive Analytics
Unique Categories
Adobe Analytics is categorized as Mobile App Analytics, Audience Intelligence Platforms, and Digital Analytics
IBM Watson Studio is categorized as Text Analysis, Data Science and Machine Learning Platforms, MLOps Platforms, and Data Preparation
Reviews
Reviewers' Company Size
Adobe Analytics
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Watson Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Marketing and Advertising
13.3%
Information Technology and Services
7.9%
Financial Services
5.6%
Retail
5.2%
Computer Software
5.2%
Other
62.8%
Information Technology and Services
15.8%
Computer Software
13.3%
Telecommunications
8.2%
Banking
7.6%
Education Management
5.7%
Other
49.4%
Alternatives
Discussions
What is Adobe Analytics used for?
2 Comments
KS
Adobe Analytics is used for analysis website performance, user behaviour tracking and real time analytics for the website.Read more
What else are you using adobe analytics for?
1 Comment
TS
Adobe analytics provides data on how our websites are performing, what site visitors do on the page(s), and how our marketing channels are performing. In...Read more
IBM Watson Studio has no discussions with answers
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