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Compare CallMiner Eureka and NiCE CXone Mpower 
Featured Products
At a Glance
Market Segments
Mid-Market (48.4% of reviews)
Mid-Market (52.6% of reviews)
Entry-Level Pricing
No pricing available
Starting at $71.00 1 Agent Per Month
CallMiner Eureka
Star Rating
(223)4.5 out of 5
Market Segments
Mid-Market (48.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about CallMiner EurekaNiCE CXone Mpower
Star Rating
(1,726)4.3 out of 5
Market Segments
Mid-Market (52.6% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $71.00 1 Agent Per Month
Browse all 7 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that CallMiner Eureka excels in providing actionable insights from customer interactions, with users highlighting its ability to transform every voice and digital interaction into meaningful data. This capability allows teams to derive answers from vast amounts of customer feedback, enhancing decision-making processes.
- Users say that NiCE CXone Mpower offers a user-friendly experience, particularly with its customizable dashboard. Reviewers appreciate how easy it is to track call activity and agent performance, which helps improve overall service levels and operational efficiency.
- According to verified reviews, CallMiner Eureka stands out for its superior support quality, with users praising the responsiveness and helpfulness of the support team. This aspect is crucial for organizations that rely on timely assistance to resolve issues and optimize their use of the software.
- Reviewers mention that NiCE CXone Mpower provides efficient reporting features, allowing users to pull calls and sort them effectively for situational awareness. This functionality is particularly beneficial for teams looking to enhance their performance review processes.
- G2 reviewers highlight that while both products have similar scores for meeting requirements, CallMiner Eureka has a slight edge in overall user satisfaction, reflected in its higher G2 Score. This suggests that users feel more positively about their experience with CallMiner compared to NiCE CXone Mpower.
- Users report that NiCE CXone Mpower has a quicker setup process, which is a significant advantage for teams looking to implement a new solution without extensive downtime. This ease of setup is often mentioned as a key factor in user satisfaction, making it a strong contender for organizations prioritizing a smooth onboarding experience.
Pricing
Entry-Level Pricing
CallMiner Eureka
No pricing availableNiCE CXone Mpower
CXone Mpower Digital Agent
Starting at $71.00
1 Agent Per Month
Digital first package supports 30+ digital channels
- Common data sets and models
- Unified administration and user interface
- Digital Agent routing for 30+ channels
Free Trial
CallMiner Eureka
No trial information availableNiCE CXone Mpower
Free Trial is available
Ratings
Meets Requirements
8.7
175
8.7
1,191
Ease of Use
8.3
176
8.7
1,207
Ease of Setup
7.6
107
8.0
449
Ease of Admin
8.1
110
8.3
438
Quality of Support
9.0
171
8.3
1,111
Has the product been a good partner in doing business?
9.4
116
8.2
435
Product Direction (% positive)
9.7
175
8.2
1,108
Features by Category
Ticket and Case Management
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
7.9
7
Not enough data
8.6
7
Not enough data
8.6
7
Not enough data
8.8
7
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Help Desk
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Communication Channels
Not enough data
9.4
6
Not enough data
9.5
7
Not enough data
9.0
7
Not enough data
7.8
6
Not enough data
8.8
7
Platform
Not enough data
8.3
7
Not enough data
9.1
11
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.3
7
Dialing Options
Not enough data
8.9
311
|
Verified
Not enough data
9.0
287
|
Verified
Not enough data
Not enough data
Agent Tools
Not enough data
9.0
263
|
Verified
Not enough data
8.9
276
|
Verified
Not enough data
9.2
313
|
Verified
Automation
Not enough data
8.8
230
|
Verified
Not enough data
9.0
247
|
Verified
Not enough data
8.9
210
|
Verified
Agentic AI - Auto Dialer
Not enough data
Not enough data
Not enough data
Not enough data
AI Capabilities - Auto Dialer
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
9.0
7
Not enough data
8.8
7
Not enough data
8.3
7
Knowledge Management
Not enough data
8.8
7
Not enough data
7.6
7
Not enough data
8.1
7
Compliance
Not enough data
8.1
7
Not enough data
8.1
7
Not enough data
9.0
7
Not enough data
7.4
7
Customer Support
Not enough data
7.9
7
Not enough data
8.1
7
Not enough data
7.6
7
Data Security
Not enough data
8.3
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
8.8
7
Administration
Not enough data
8.8
7
Not enough data
8.8
7
Not enough data
8.6
7
Generative AI
Not enough data
Not enough data
Call Analytics
8.7
63
|
Verified
Not enough data
7.9
57
|
Verified
Not enough data
8.8
67
|
Verified
Not enough data
8.3
49
|
Verified
Not enough data
Agent Performance Management
8.8
60
|
Verified
Not enough data
8.2
67
|
Verified
Not enough data
8.1
57
|
Verified
Not enough data
Generative AI
8.3
19
Not enough data
Agentic AI - Conversation Intelligence
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
8.0
5
Not enough data
Quality Assurance
8.8
92
9.0
253
8.5
85
9.0
237
8.2
93
8.8
263
Engagement
8.6
92
9.0
238
8.1
93
9.0
250
8.4
87
8.8
238
Performance
8.0
74
8.9
238
8.8
91
9.2
256
Generative AI
7.7
31
5.2
18
7.7
30
5.4
18
Channels
Not enough data
9.1
625
|
Verified
Not enough data
8.5
326
|
Verified
Not enough data
8.5
352
|
Verified
Not enough data
8.3
296
|
Verified
Not enough data
8.5
350
|
Verified
Generative AI
Not enough data
7.0
48
Functions
Not enough data
8.8
653
|
Verified
Not enough data
9.0
691
|
Verified
Not enough data
8.9
547
|
Verified
Not enough data
8.7
386
|
Verified
Not enough data
8.8
457
|
Verified
Not enough data
8.9
553
|
Verified
Not enough data
8.8
556
|
Verified
Not enough data
8.7
497
|
Verified
Agentic AI - Contact Center
Not enough data
8.1
6
Not enough data
7.8
6
Not enough data
8.3
6
Not enough data
7.8
6
Administrative
Not enough data
8.6
516
|
Verified
Not enough data
8.9
546
|
Verified
Not enough data
8.6
642
|
Verified
Not enough data
9.0
513
|
Verified
Not enough data
8.9
430
|
Verified
Workforce Management
Not enough data
9.3
289
|
Verified
Not enough data
9.2
280
|
Verified
Not enough data
8.9
226
|
Verified
Not enough data
9.0
227
|
Verified
Not enough data
8.6
177
|
Verified
Administration
Not enough data
8.9
230
|
Verified
Not enough data
9.2
271
|
Verified
Not enough data
9.0
295
|
Verified
Not enough data
8.7
220
|
Verified
Not enough data
9.0
227
|
Verified
Messaging Channels
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
8.6
32
Not enough data
7.5
27
Not enough data
8.8
34
Not enough data
9.2
38
Not enough data
8.6
35
Not enough data
9.4
31
Not enough data
9.3
37
Generative AI
Not enough data
Feature Not Available
Workforce Management
Not enough data
9.4
36
Not enough data
9.0
33
Call Center Infrastructure (CCI)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administrative
Not enough data
9.4
38
Not enough data
8.8
39
Customer Support
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Artificial Intelligence
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Self-Service Experience
Not enough data
8.1
7
Not enough data
7.5
8
Not enough data
7.5
8
Not enough data
7.5
8
Not enough data
7.3
8
Self-Service Platform
Not enough data
8.3
8
Not enough data
8.3
8
Not enough data
7.9
8
Not enough data
8.1
7
Agentic AI - Customer Self-Service
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
Generative AI
8.2
36
6.7
5
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Customer Query Resolution - AI Customer Support Agents
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
Customer Interaction Automation - AI Customer Support Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Autonomy
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - AI Agents
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
Categories
Categories
Shared Categories
CallMiner Eureka and NiCE CXone Mpower are categorized as Contact Center Quality Assurance and Speech Analytics
Unique Categories
CallMiner Eureka is categorized as Conversation Intelligence
NiCE CXone Mpower is categorized as Customer Service Automation, Digital Customer Service Platforms, Contact Center Knowledge Base, Auto Dialer, Help Desk, Contact Center Workforce, Call Center Infrastructure (CCI), Contact Center, Customer Self-Service, Proactive Notification, and AI Customer Support Agents
Reviews
Reviewers' Company Size
CallMiner Eureka
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
NiCE CXone Mpower
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
Financial Services
24.4%
Insurance
7.5%
Telecommunications
6.1%
Hospital & Health Care
5.2%
Consumer Services
5.2%
Other
51.6%
Consumer Services
10.4%
Information Technology and Services
8.3%
Financial Services
7.9%
Telecommunications
7.0%
Hospital & Health Care
5.8%
Other
60.5%
Alternatives
Discussions
How do I combine two components in one components?
1 Comment
KD
Hi Mahavir - We don't yet have a system for merging components but we have put this into our Ideas process for review by our product management team.Read more
Is there any way to increase the recognition accuracy?
1 Comment
KD
Hi Paul – Transcription accuracy depends on a number of factors with audio quality being at the top of the list. High quality, speaker-separated (stereo)...Read more
How can I keep the data label while exporting the dashboard in pdf format?
1 Comment
KD
Hi Mahesh - You would need to export the data in CSV to see all of the data points and hidden labels, or you could use the API. Depending on what you want to...Read more
Does it ever pause or get frozen after a call
2 Comments
MG
Yep when we first cut over to CX One our Agents Max Client kept freezing, and dropping the call. OR calls would come in and the Agent Leg would not connect...Read more
Are you implementing a replacement for the Adobe Flash integration?
1 Comment
JJ
i dont have a comment for thatRead more
Is there a way to check the history os the calls that came in or dialed without the information disappering?
1 Comment
JF
Click on button "New" -> History tabRead more
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