Compare Decagon and Kustomer 
At a Glance
Market Segments
Mid-Market (66.7% of reviews)
Mid-Market (66.0% of reviews)
Entry-Level Pricing
No pricing available
Starting at $89.00 1 User Per Month
Decagon
Star Rating
(18)4.9 out of 5
Market Segments
Mid-Market (66.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DecagonKustomer
Star Rating
(512)4.5 out of 5
Market Segments
Mid-Market (66.0% of reviews)
Pros & Cons
Entry-Level Pricing
Starting at $89.00 1 User Per Month
Browse all 2 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 centralized customer information view. One user highlighted how easy it is to find necessary data daily, making it a strong choice for teams that prioritize accessibility and ease of use.
- Users say that Decagon stands out for its AI capabilities, particularly in automating repetitive tasks and providing deep data analysis. Reviewers noted that the AI performs exceptionally well, allowing customer support teams to handle a high volume of interactions seamlessly, which can be a game-changer for businesses with extensive customer bases.
- According to verified reviews, Kustomer's implementation process is praised for its simplicity, with users mentioning that it integrates well with other applications like Shopify. This ease of setup can significantly reduce the time and effort required to get the system up and running.
- Reviewers mention that Decagon's technical implementation is straightforward, with many users appreciating the support provided during the integration process. This hands-on assistance can be crucial for teams looking to adopt new technology without extensive technical expertise.
- G2 reviewers highlight that Kustomer offers strong customer support, with users noting the professionalism and responsiveness of the support team. This aspect can greatly enhance the overall user experience, especially for businesses that rely on timely assistance.
- Users report that while Decagon has a higher star rating, Kustomer's overall satisfaction metrics are bolstered by a larger number of reviews, indicating a more robust user experience. This suggests that Kustomer may have a more consistent performance across a wider user base, which can be reassuring for potential buyers.
Pricing
Entry-Level Pricing
Decagon
No pricing availableKustomer
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
Free Trial
Decagon
No trial information availableKustomer
No trial information availableRatings
Meets Requirements
9.3
18
8.9
387
Ease of Use
8.9
18
8.8
402
Ease of Setup
9.0
18
8.6
212
Ease of Admin
8.8
14
8.1
152
Quality of Support
9.7
18
9.0
369
Has the product been a good partner in doing business?
10.0
14
8.8
148
Product Direction (% positive)
10.0
17
8.8
377
Features by Category
Ticket and Case Management
Not enough data
9.2
184
|
Verified
Not enough data
9.1
188
|
Verified
Not enough data
8.9
192
|
Verified
Not enough data
8.9
184
|
Verified
Not enough data
8.9
163
|
Verified
Not enough data
8.9
182
|
Verified
Not enough data
9.2
182
|
Verified
Not enough data
9.1
183
|
Verified
Generative AI
Not enough data
7.9
49
Not enough data
8.4
49
Agentic AI - Help Desk
Not enough data
7.8
43
Not enough data
7.9
43
Not enough data
8.1
43
Communication Channels
Not enough data
8.9
165
|
Verified
Not enough data
9.3
190
|
Verified
Not enough data
9.1
165
|
Verified
Not enough data
8.5
163
|
Verified
Not enough data
8.7
152
Platform
Not enough data
8.0
82
Not enough data
8.7
169
|
Verified
Not enough data
9.2
124
|
Verified
Not enough data
8.9
120
|
Verified
Not enough data
8.4
157
|
Verified
Not enough data
8.5
156
|
Verified
Core Conversational Capabilities - AI Chatbots
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data
8.9
11
Not enough data
8.8
8
Not enough data
Interaction
8.3
10
Not enough data
9.3
10
Not enough data
8.7
10
Not enough data
8.7
10
Not enough data
9.6
9
Not enough data
Task & Flow Management - AI Chatbots
Not enough data
Not enough data
Not enough data
Not enough data
Learning
9.2
8
Not enough data
9.0
8
Not enough data
Deployment & Embedding - AI Chatbots
Not enough data
Not enough data
Not enough data
Not enough data
Content Generation
9.4
8
Not enough data
9.6
8
Not enough data
Admin & Configuration - AI Chatbots
Not enough data
Not enough data
System
10.0
8
Not enough data
9.8
8
Not enough data
9.4
8
Not enough data
9.4
9
Not enough data
Agentic AI - AI Chatbots
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
Monitoring & Improvement - AI Chatbots
Not enough data
Not enough data
Reliability & Safety - AI Chatbots
Not enough data
Not enough data
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
Conversational Platform
8.6
11
9.0
185
8.3
10
9.1
180
8.6
7
9.1
166
8.3
7
8.9
86
Support Automation
8.3
8
9.0
162
9.6
9
9.0
177
9.2
10
9.3
156
9.2
10
8.6
89
Generative AI
9.8
7
8.3
54
9.6
8
8.4
54
Customer Support
8.8
7
Not enough data
7.5
6
Not enough data
9.6
9
Not enough data
Automation
8.0
9
Not enough data
9.1
9
Not enough data
8.1
8
Not enough data
Artificial Intelligence
9.0
8
Not enough data
9.2
8
Not enough data
8.9
9
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Bot 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
Generative AI
Not enough data
7.3
43
Not enough data
7.5
43
Not enough data
6.9
42
Communication
Not enough data
8.9
156
|
Verified
Not enough data
8.9
174
|
Verified
Not enough data
9.0
144
|
Verified
Not enough data
8.8
134
|
Verified
Not enough data
8.1
84
Internal Use
Not enough data
8.7
169
|
Verified
Not enough data
9.1
153
|
Verified
Not enough data
8.2
90
Not enough data
8.8
152
|
Verified
Not enough data
9.0
157
|
Verified
Not enough data
9.0
174
|
Verified
Generative AI
Not enough data
8.3
33
Self-Service Experience
Not enough data
8.9
89
Not enough data
8.7
86
Not enough data
8.6
67
Not enough data
8.3
50
Not enough data
8.6
54
Self-Service Platform
Not enough data
9.0
58
Not enough data
8.9
58
Not enough data
8.5
52
Not enough data
9.0
56
Agentic AI - Customer Self-Service
Not enough data
7.8
20
Not enough data
8.3
20
Not enough data
8.4
20
Not enough data
8.3
20
Not enough data
8.3
20
Not enough data
8.4
20
Not enough data
8.3
19
Generative AI
Not enough data
8.2(won by default)
23
Not enough data
8.3(won by default)
23
Process
Not enough data
8.8(won by default)
40
Not enough data
9.2(won by default)
44
Not enough data
9.4(won by default)
45
Channels
Not enough data
9.6(won by default)
45
Not enough data
9.0(won by default)
42
Not enough data
9.2(won by default)
42
Not enough data
9.1(won by default)
41
Not enough data
9.3(won by default)
41
Insight
Not enough data
9.1(won by default)
42
Not enough data
8.7(won by default)
45
Not enough data
8.4(won by default)
40
Not enough data
8.7(won by default)
43
Generative AI
Not enough data
8.0
35
Not enough data
8.3
35
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
Natural Language Interaction - Conversational Interface Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Intent & Action Handling - Conversational Interface Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Context & Personalization - Conversational Interface Agents
Not enough data
Not enough data
Not enough data
Not enough data
Enterprise Integration & Deployment - Conversational Interface Agents
Not enough data
Not enough data
Not enough data
Not enough data
Customer Query Resolution - AI Customer Support Agents
Not enough data
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
Customer Interaction Automation - AI Customer Support Agents
Not enough data
8.1
7
Not enough data
8.1
7
Not enough data
8.1
7
Not enough data
8.3
7
Automation
Not enough data
8.8
7
Not enough data
8.6
7
Not enough data
8.8
7
Autonomy
Not enough data
8.8
7
Not enough data
9.0
7
Not enough data
8.6
7
Not enough data
8.1
7
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
Decagon and Kustomer are categorized as AI Customer Support Agents and Conversational Support
Unique Categories
Decagon is categorized as AI Chatbots, Bot Platforms, Customer Service Automation, and Conversational Interface Agents
Kustomer is categorized as AI Agent Builders, Digital Customer Service Platforms, Social Customer Service, Live Chat, Help Desk, Customer Self-Service, and AI Agents For Business Operations
Reviews
Reviewers' Company Size
Decagon
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Kustomer
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
Information Technology and Services
16.7%
Health, Wellness and Fitness
16.7%
Financial Services
16.7%
Computer Software
16.7%
Wholesale
5.6%
Other
27.8%
Consumer Services
13.2%
Retail
11.6%
Health, Wellness and Fitness
6.1%
Apparel & Fashion
5.7%
Food & Beverages
5.5%
Other
58.0%
Alternatives
Discussions
Decagon has no discussions with answers
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
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