Compare Sprinklr Service and Verint Speech and Text Analytics 
At a Glance
Market Segments
Enterprise (42.5% of reviews)
Enterprise (66.3% of reviews)
Entry-Level Pricing
$4,200.00 1 User Per Year
No pricing available
Sprinklr Service
Star Rating
(733)4.3 out of 5
Market Segments
Enterprise (42.5% of reviews)
Pros & Cons
Entry-Level Pricing
$4,200.00 1 User Per Year
Free Trial is available
Browse all 3 pricing plansVerint Speech and Text Analytics
Star Rating
(89)4.4 out of 5
Market Segments
Enterprise (66.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Verint Speech and Text AnalyticsSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Sprinklr Service excels in customization, allowing users to tailor workflows to their specific needs. This flexibility is highlighted by users who appreciate the ability to define processes based on their team's requirements, making it a strong choice for organizations with complex needs.
- Users say that Verint Speech and Text Analytics stands out for its robust reporting capabilities. Reviewers have noted the ease of creating categories and identifying trends in calls, which enables teams to pivot quickly based on insights gathered from customer interactions.
- According to verified reviews, Sprinklr Service is praised for its ability to unify customer interactions across multiple channels. This feature is particularly beneficial for enterprises looking to manage diverse customer touchpoints within a single platform, enhancing overall efficiency.
- Reviewers mention that Verint Speech and Text Analytics provides a strong focus on call analysis, with users appreciating the ability to narrow down points of interest and pain points effectively. This capability is crucial for organizations aiming to improve customer service and operational efficiency.
- G2 reviewers highlight that while Sprinklr Service offers a clean workflow and multi-tasking capabilities, it sometimes faces challenges in ease of setup. Users have reported that the initial configuration can be complex, which may require additional time and resources to fully implement.
- Users say that Verint Speech and Text Analytics generally provides a better experience in terms of quality of support, with many reviewers noting that the support team is responsive and helpful, which can significantly enhance the user experience during critical times.
Pricing
Entry-Level Pricing
Sprinklr Service
Digital + Voice Package- Service 2
$4,200.00
1 User Per Year
Voice, live chat & messaging:
Provide seamless
experiences across 30+ digital channels and robust
support on Voice. Use AI and automation to increase selfservice, improve agent productivity and boost customer
satisfaction
- Live chat, SMS, Email
- Inbound/Outbound Voice
- Proactive Prompts
Verint Speech and Text Analytics
No pricing availableFree Trial
Sprinklr Service
Free Trial is available
Verint Speech and Text Analytics
No trial information availableRatings
Meets Requirements
8.5
594
8.6
27
Ease of Use
8.2
616
8.6
63
Ease of Setup
7.9
453
8.3
47
Ease of Admin
8.1
237
8.2
10
Quality of Support
8.1
577
8.3
27
Has the product been a good partner in doing business?
8.6
238
8.7
9
Product Direction (% positive)
8.7
600
7.8
27
Features by Category
Ticket and Case Management
8.6
69
|
Verified
Not enough data
8.5
71
|
Verified
Not enough data
8.6
73
|
Verified
Not enough data
7.9
69
|
Verified
Not enough data
8.0
64
|
Verified
Not enough data
8.3
69
|
Verified
Not enough data
8.3
67
|
Verified
Not enough data
8.2
70
|
Verified
Not enough data
Generative AI
7.4
45
Not enough data
7.0
46
Not enough data
Agentic AI - Help Desk
6.9
18
Not enough data
6.9
18
Not enough data
7.1
18
Not enough data
Communication Channels
8.1
63
|
Verified
Not enough data
8.1
64
|
Verified
Not enough data
7.8
68
|
Verified
Not enough data
8.9
67
|
Verified
Not enough data
7.0
59
Not enough data
Platform
7.6
72
|
Verified
Not enough data
7.8
140
|
Verified
Not enough data
8.6
79
|
Verified
Not enough data
8.2
76
|
Verified
Not enough data
8.9
84
|
Verified
Not enough data
8.9
85
|
Verified
Not enough data
Administration
8.6
50
Not enough data
8.4
47
Not enough data
8.4
47
Not enough data
Knowledge Management
8.4
48
Not enough data
8.3
47
Not enough data
8.7
52
Not enough data
Compliance
8.3
48
Not enough data
8.5
48
Not enough data
8.5
45
Not enough data
8.3
44
Not enough data
Customer Support
8.0
46
Not enough data
8.1
44
Not enough data
7.9
45
Not enough data
Data Security
8.4
45
Not enough data
8.4
45
Not enough data
8.6
48
Not enough data
8.6
47
Not enough data
Administration
8.5
45
Not enough data
8.6
44
Not enough data
8.6
45
Not enough data
Generative AI
7.3
41
Not enough data
Call Analytics
5.7
33
9.7
5
6.0
35
Not enough data
5.6
31
8.7
5
6.1
31
Not enough data
Artificial Intelligence - Conversation Intelligence
6.3
34
9.0
5
5.8
31
Not enough data
Not enough data
Not enough data
Generative AI
6.3
30
Not enough data
Agentic AI - Conversation Intelligence
5.9
11
Not enough data
6.7
11
Not enough data
6.1
11
Not enough data
6.4
11
Not enough data
6.4
11
Not enough data
6.7
12
Not enough data
6.8
12
Not enough data
Quality Assurance
8.2
51
Not enough data
7.9
50
Not enough data
8.4
51
Not enough data
Engagement
8.1
51
Not enough data
8.0
50
Not enough data
7.7
48
Not enough data
Performance
7.9
49
Not enough data
8.3
46
Not enough data
Generative AI
6.9
42
Not enough data
7.2
41
Not enough data
Channels
6.9
142
Not enough data
8.4
145
Not enough data
7.9
138
Not enough data
7.5
140
Not enough data
7.6
135
Not enough data
Generative AI
6.6
113
Not enough data
Functions
7.5
139
Not enough data
7.6
132
Not enough data
7.3
134
Not enough data
7.3
132
Not enough data
6.8
131
Not enough data
7.1
135
Not enough data
7.6
128
Not enough data
8.0
129
Not enough data
Agentic AI - Contact Center
5.9
22
Not enough data
6.7
22
Not enough data
6.2
22
Not enough data
6.5
22
Not enough data
Administrative
7.8
130
Not enough data
7.8
130
Not enough data
8.4
144
Not enough data
7.8
131
Not enough data
7.9
142
Not enough data
Responses
8.5
57
Not enough data
8.5
57
Not enough data
8.5
57
Not enough data
8.6
55
Not enough data
8.3
53
Not enough data
Platform
8.5
54
Not enough data
8.4
56
Not enough data
8.5
56
Not enough data
8.7
56
Not enough data
8.1
51
Not enough data
8.4
56
Not enough data
8.2
53
Not enough data
Generative AI
7.9
38
Not enough data
7.8
37
Not enough data
Workforce Management
9.0
33
Not enough data
8.2
33
Not enough data
8.1
34
Not enough data
8.1
33
Not enough data
8.1
32
Not enough data
Administration
7.8
36
Not enough data
8.7
35
Not enough data
8.6
36
Not enough data
8.1
33
Not enough data
8.1
35
Not enough data
Setup
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data
Not enough data
Not enough data
Not enough data
Not enough data
Analysis
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
Customization
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
Not enough data
Not enough data
Generative AI
7.8
74
Not enough data
7.4
72
Not enough data
7.2
72
Not enough data
Communication
7.9
101
|
Verified
Not enough data
8.3
111
|
Verified
Not enough data
7.6
98
Not enough data
8.3
101
Not enough data
7.3
95
Not enough data
Internal Use
7.8
140
|
Verified
Not enough data
8.1
108
|
Verified
Not enough data
7.9
101
Not enough data
8.4
101
Not enough data
8.0
102
|
Verified
Not enough data
8.1
108
|
Verified
Not enough data
Generative AI
7.5
41
Not enough data
Self-Service Experience
8.0
53
Not enough data
7.6
54
Not enough data
7.3
53
Not enough data
8.1
51
Not enough data
7.6
52
Not enough data
Self-Service Platform
8.1
53
Not enough data
7.8
52
Not enough data
7.5
54
Not enough data
7.7
54
Not enough data
Agentic AI - Customer Self-Service
6.5
8
Not enough data
7.1
8
Not enough data
8.1
8
Not enough data
7.3
8
Not enough data
7.5
8
Not enough data
7.9
8
Not enough data
7.3
8
Not enough data
Generative AI
6.9(won by default)
230
Not enough data
6.8(won by default)
223
Not enough data
Process
8.3(won by default)
313
Not enough data
7.7(won by default)
309
Not enough data
8.2(won by default)
310
Not enough data
Channels
7.3(won by default)
284
Not enough data
8.8(won by default)
335
Not enough data
7.2(won by default)
277
Not enough data
6.6(won by default)
266
Not enough data
7.5(won by default)
272
Not enough data
Insight
7.7(won by default)
294
Not enough data
8.3(won by default)
318
Not enough data
7.9(won by default)
286
Not enough data
7.6(won by default)
285
Not enough data
Generative AI
7.8
12
8.1
7
Generative AI
7.1
103
Not enough data
7.0
103
Not enough data
Conversational AI - Conversational Commerce Platforms
5.6
31
Not enough data
6.2
31
Not enough data
6.0
31
Not enough data
5.3
30
Not enough data
5.8
30
Not enough data
Platform integration - Conversational Commerce Platforms
5.8
30
Not enough data
5.6
30
Not enough data
5.7
30
Not enough data
5.9
29
Not enough data
Analytics and Reporting - Conversational Commerce Platforms
7.2
29
Not enough data
7.1
29
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
Sprinklr Service and Verint Speech and Text Analytics are categorized as Speech Analytics and Conversation Intelligence
Unique Categories
Sprinklr Service is categorized as Conversational Commerce Platforms, Digital Customer Service Platforms, Contact Center Quality Assurance, Contact Center Knowledge Base, Chatbots, Social Customer Service, Live Chat, Help Desk, Contact Center Workforce, Contact Center, Customer Self-Service, and AI Customer Support Agents
Verint Speech and Text Analytics is categorized as Text Analysis
Reviews
Reviewers' Company Size
Sprinklr Service
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Verint Speech and Text Analytics
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
Consumer Services
11.0%
Marketing and Advertising
10.4%
Information Technology and Services
5.4%
Financial Services
5.1%
Food & Beverages
3.9%
Other
64.2%
Insurance
15.7%
Financial Services
10.8%
Banking
9.6%
Consumer Services
9.6%
Health, Wellness and Fitness
8.4%
Other
45.8%
Alternatives
Discussions
Does anyone have experience with Sprinklr sentiment analysis
1 Comment
AS
Yes available under the module social listening.Read more
Sprinklr Service has no more discussions with answers
What is Verint Text Analytics used for?
1 Comment
AT
Verint Text Analytics can extract actionable business intelligence from the unstructured information contained within text-based documents and interactions...Read more
Verint Speech and Text Analytics has no more discussions with answers
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