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Compare Kustomer and Sprinklr Service 
Featured Products
At a Glance
Market Segments
Mid-Market (65.8% of reviews)
Enterprise (42.7% of reviews)
Entry-Level Pricing
Starting at $89.00 1 User Per Month
$4,200.00 1 User Per Year
Kustomer
Star Rating
(513)4.5 out of 5
Market Segments
Mid-Market (65.8% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $89.00 1 User Per Month
Browse all 2 pricing plansSprinklr Service
Star Rating
(722)4.3 out of 5
Market Segments
Enterprise (42.7% of reviews)
Pros & Cons
Entry-Level Pricing
$4,200.00 1 User Per Year
Free Trial is available
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Kustomer excels in user-friendliness, with many users appreciating its intuitive interface and centralized customer information, making it easy to access data daily. This ease of use is a significant advantage for teams looking to streamline their customer service processes.
- Users say that Sprinklr Service offers impressive customization options, allowing teams to tailor workflows to their specific needs. This flexibility is particularly beneficial for larger enterprises that require a solution capable of managing complex interactions across multiple channels.
- According to verified reviews, Kustomer stands out for its exceptional customer support, with users highlighting the professionalism and responsiveness of the support team. This aspect is crucial for businesses that rely on timely assistance to resolve issues quickly.
- Reviewers mention that while Sprinklr Service provides robust integration capabilities, some users find it less intuitive to set up compared to Kustomer. This can be a drawback for teams that prioritize a quick and straightforward implementation process.
- G2 reviewers highlight Kustomer's strong performance in ticket management features, with users praising its ticket creation and response experiences. This focus on efficient ticket handling can significantly enhance customer satisfaction and operational efficiency.
- Users report that Sprinklr Service's ability to unify customer interactions across various channels is a major strength, making it ideal for enterprises that need a comprehensive view of customer engagement. However, some users feel that this complexity can lead to a steeper learning curve compared to Kustomer's more straightforward approach.
Pricing
Entry-Level Pricing
Kustomer
Enterprise
Starting at $89.00
1 User Per Month
Essential CX tools for growing teams—
powerful, affordable, and built to scale
- Conversational Timeline
- Tasks and Automations
- Data & File Storage
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
Free Trial
Kustomer
No trial information availableSprinklr Service
Free Trial is available
Ratings
Meets Requirements
8.9
388
8.5
592
Ease of Use
8.8
403
8.3
607
Ease of Setup
8.7
213
8.0
451
Ease of Admin
8.1
152
8.1
237
Quality of Support
9.0
370
8.1
569
Has the product been a good partner in doing business?
8.8
148
8.6
238
Product Direction (% positive)
8.8
378
8.7
597
Features by Category
Ticket and Case Management
9.2
184
|
Verified
8.6
69
|
Verified
9.1
188
|
Verified
8.4
70
|
Verified
8.9
192
|
Verified
8.6
73
|
Verified
8.9
184
|
Verified
7.9
69
|
Verified
8.9
163
|
Verified
8.0
64
|
Verified
8.9
182
|
Verified
8.3
69
|
Verified
9.2
182
|
Verified
8.3
67
|
Verified
9.1
183
|
Verified
8.2
70
|
Verified
Generative AI
7.9
49
7.4
45
8.4
49
7.0
46
Agentic AI - Help Desk
7.8
43
6.9
18
7.9
43
6.9
18
8.1
43
7.1
18
Communication Channels
8.9
165
|
Verified
8.1
63
|
Verified
9.3
190
|
Verified
8.1
64
|
Verified
9.1
165
|
Verified
7.8
68
|
Verified
8.5
163
|
Verified
8.9
67
|
Verified
8.7
152
7.0
59
Platform
8.0
82
7.6
71
|
Verified
8.7
169
|
Verified
7.8
140
|
Verified
9.2
124
|
Verified
8.6
78
|
Verified
8.9
120
|
Verified
8.2
75
|
Verified
8.4
157
|
Verified
8.9
82
|
Verified
8.5
156
|
Verified
8.9
83
|
Verified
Administration
Not enough data
8.6
50
Not enough data
8.4
47
Not enough data
8.4
47
Knowledge Management
Not enough data
8.4
48
Not enough data
8.3
47
Not enough data
8.7
52
Compliance
Not enough data
8.3
48
Not enough data
8.5
48
Not enough data
8.5
45
Not enough data
8.3
44
Customer Support
Not enough data
8.0
46
Not enough data
8.1
44
Not enough data
7.9
45
Data Security
Not enough data
8.4
45
Not enough data
8.4
45
Not enough data
8.6
48
Not enough data
8.6
46
Administration
Not enough data
8.5
45
Not enough data
8.6
44
Not enough data
8.6
45
Generative AI
Not enough data
7.3
41
Call Analytics
Not enough data
5.7
33
Not enough data
6.0
35
Not enough data
5.6
31
Not enough data
6.1
31
Artificial Intelligence - Conversation Intelligence
Not enough data
6.3
34
Not enough data
5.8
31
Not enough data
Not enough data
Generative AI
Not enough data
6.3
30
Agentic AI - Conversation Intelligence
Not enough data
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
Quality Assurance
Not enough data
8.2
51
Not enough data
7.9
50
Not enough data
8.3
50
Engagement
Not enough data
8.1
51
Not enough data
8.0
50
Not enough data
7.7
48
Performance
Not enough data
7.9
49
Not enough data
8.3
46
Generative AI
Not enough data
6.9
42
Not enough data
7.2
41
Channels
Not enough data
6.9
142
Not enough data
8.4
145
Not enough data
7.9
137
Not enough data
7.5
140
Not enough data
7.6
135
Generative AI
Not enough data
6.6
113
Functions
Not enough data
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
128
Agentic AI - Contact Center
Not enough data
5.9
22
Not enough data
6.7
22
Not enough data
6.2
22
Not enough data
6.5
22
Administrative
Not enough data
7.8
130
Not enough data
7.8
130
Not enough data
8.4
143
Not enough data
7.8
131
Not enough data
7.9
142
Responses
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation - 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
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Autonomy - 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
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Responses
Not enough data
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
Platform
Not enough data
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
Generative AI
Not enough data
7.9
38
Not enough data
7.8
37
Workforce Management
Not enough data
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
Administration
Not enough data
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
Conversational Platform
9.0
185
Not enough data
9.1
180
Not enough data
9.1
166
Not enough data
8.9
86
Not enough data
Support Automation
9.0
162
Not enough data
9.0
177
Not enough data
9.3
156
Not enough data
8.6
89
Not enough data
Generative AI
8.3
54
Not enough data
8.4
54
Not enough data
Generative AI
7.3
43
7.8
74
7.5
43
7.4
72
6.9
42
7.2
72
Communication
8.9
156
|
Verified
7.9
101
|
Verified
8.9
174
|
Verified
8.3
110
|
Verified
9.0
144
|
Verified
7.6
98
8.8
134
|
Verified
8.3
100
8.1
84
7.3
95
Internal Use
8.7
169
|
Verified
7.8
140
|
Verified
9.1
153
|
Verified
8.1
108
|
Verified
8.2
90
7.9
101
8.8
152
|
Verified
8.4
101
9.0
157
|
Verified
8.0
102
|
Verified
9.0
174
|
Verified
8.1
108
|
Verified
Generative AI
8.4
34
7.5
41
Self-Service Experience
8.9
90
8.0
53
8.7
87
7.6
54
8.6
68
7.3
53
8.3
51
8.1
51
8.7
55
7.6
52
Self-Service Platform
9.0
59
8.1
53
8.9
59
7.7
51
8.5
53
7.4
53
9.0
57
7.7
54
Agentic AI - Customer Self-Service
7.9
21
6.5
8
8.4
21
7.1
8
8.5
21
8.1
8
8.3
21
7.3
8
8.4
21
7.5
8
8.5
21
7.9
8
8.4
20
7.3
8
Generative AI
8.2(won by 1.3)
23
6.9
227
8.3(won by 1.5)
23
6.8
223
Process
8.8(won by 0.5)
40
8.3
313
9.2(won by 1.5)
44
7.7
308
9.4(won by 1.3)
45
8.1
309
Channels
9.6(won by 2.3)
45
7.3
283
9.0(won by 0.2)
42
8.8
329
9.2(won by 2.0)
42
7.2
275
9.1(won by 2.5)
41
6.6
263
9.3(won by 1.8)
41
7.5
272
Insight
9.1(won by 1.4)
42
7.7
293
8.7(won by 0.4)
45
8.3
315
8.4(won by 0.5)
40
7.9
286
8.7(won by 1.1)
43
7.6
282
Generative AI
Not enough data
7.8
12
Generative AI
8.0
35
7.1
103
8.3
35
7.0
103
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Conversational AI - Conversational Commerce Platforms
Not enough data
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
Platform integration - Conversational Commerce Platforms
Not enough data
5.8
30
Not enough data
5.6
30
Not enough data
5.7
30
Not enough data
5.9
29
Analytics and Reporting - Conversational Commerce Platforms
Not enough data
7.2
29
Not enough data
7.1
29
Customer Query Resolution - AI Customer Support Agents
7.9
7
Not enough data
7.9
7
Not enough data
7.4
7
Not enough data
8.1
7
Not enough data
7.9
7
Not enough data
Customer Interaction Automation - AI Customer Support Agents
8.1
7
Not enough data
8.1
7
Not enough data
8.1
7
Not enough data
8.3
7
Not enough data
Automation
8.8
7
Not enough data
8.6
7
Not enough data
8.8
7
Not enough data
Autonomy
8.8
7
Not enough data
9.0
7
Not enough data
8.6
7
Not enough data
8.1
7
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
Kustomer and Sprinklr Service are categorized as AI Customer Support Agents, Digital Customer Service Platforms, Social Customer Service, Live Chat, Help Desk, and Customer Self-Service
Unique Categories
Kustomer is categorized as AI Agent Builders, Conversational Support, and AI Agents For Business Operations
Sprinklr Service is categorized as Conversational Commerce Platforms, Contact Center Quality Assurance, Speech Analytics, Conversation Intelligence, Contact Center Knowledge Base, Chatbots, Contact Center Workforce, and Contact Center
Reviews
Reviewers' Company Size
Kustomer
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Sprinklr Service
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
13.2%
Retail
11.5%
Health, Wellness and Fitness
6.1%
Apparel & Fashion
5.7%
Food & Beverages
5.5%
Other
58.1%
Consumer Services
11.1%
Marketing and Advertising
10.4%
Information Technology and Services
5.2%
Financial Services
5.2%
Telecommunications
3.9%
Other
64.2%
Alternatives
Discussions
How can we get a ticket ID ?
1 Comment
HL
The ticket ID is the string of characters in the URL after the "events" portion. For example, if you have a ticket open, you will...Read more
Is there a way currently follow a customer in different ways such as a label so you can sort your follows by sales, shipping issues, parts replacement, follow up order. Not to be confused with the (labeling of a interaction) but current interactions that I need to go back to as a agent to check on my customer for a specific reason.
1 Comment
ED
All the conversations are in your search field and they are shown in the timeline. Read more
How can I post a note with out it closing
1 Comment
ED
You can add internal note by clicking on note and it will be visible only for the users of your company :) Read more
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
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