Compare Decagon and Gladly 
At a Glance
Market Segments
Mid-Market (66.7% of reviews)
Mid-Market (61.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
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 DecagonGladly
Star Rating
(1,100)4.7 out of 5
Market Segments
Mid-Market (61.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about GladlySummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Gladly excels in providing a comprehensive view of the customer journey, allowing users to manage all interactions in one place. This feature is particularly praised for its ability to save time and reduce the need for additional staffing, as highlighted by users who appreciate the Sidekick and Answers functionalities.
- Users say that Decagon stands out for its ability to automate repetitive tasks effectively, enabling teams to focus on deeper data analysis. Reviewers have noted that the AI performs exceptionally well, making it a reliable choice for handling a high volume of customer interactions seamlessly.
- According to verified reviews, Gladly's user interface is noted for its ease of use, with many users finding the setup process intuitive. This is reflected in feedback where users mention the smooth onboarding experience, which helps teams get up and running quickly.
- Reviewers mention that Decagon's implementation process is also commendable, with users appreciating the support provided during integration with existing systems like Zendesk. This hands-on assistance has been a significant factor in user satisfaction, especially for teams looking for a straightforward setup.
- G2 reviewers highlight that while Gladly has a higher overall satisfaction score, Decagon's quality of support is rated slightly higher, indicating that users feel well-supported in their day-to-day operations. This balance suggests that both platforms have their strengths in customer service, but users may prefer one based on specific needs.
- Users report that Gladly's focus on contextual engagement allows for more personalized customer interactions, which is a significant advantage for businesses looking to enhance their customer service experience. In contrast, Decagon's strength lies in its AI capabilities, which some users find more effective for handling routine inquiries.
Pricing
Entry-Level Pricing
Decagon
No pricing availableGladly
No pricing availableFree Trial
Decagon
No trial information availableGladly
No trial information availableRatings
Meets Requirements
9.3
18
9.3
790
Ease of Use
8.9
18
9.5
796
Ease of Setup
9.0
18
9.2
306
Ease of Admin
8.8
14
9.2
177
Quality of Support
9.7
18
9.4
753
Has the product been a good partner in doing business?
10.0
14
9.5
177
Product Direction (% positive)
10.0
17
9.4
759
Features by Category
Ticket and Case Management
Not enough data
9.2
198
|
Verified
Not enough data
9.2
200
|
Verified
Not enough data
9.2
210
|
Verified
Not enough data
9.1
205
|
Verified
Not enough data
9.1
175
|
Verified
Not enough data
9.2
198
|
Verified
Not enough data
9.3
195
|
Verified
Not enough data
9.3
203
|
Verified
Generative AI
Not enough data
8.3
65
Not enough data
8.5
66
Agentic AI - Help Desk
Not enough data
8.4
29
Not enough data
8.3
29
Not enough data
8.3
28
Communication Channels
Not enough data
9.4
209
|
Verified
Not enough data
9.5
218
|
Verified
Not enough data
9.5
209
|
Verified
Not enough data
8.9
174
|
Verified
Not enough data
9.1
201
|
Verified
Platform
Not enough data
8.2
141
|
Verified
Not enough data
8.6
252
|
Verified
Not enough data
9.2
155
|
Verified
Not enough data
9.1
156
|
Verified
Not enough data
8.8
155
|
Verified
Not enough data
9.3
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
Channels
Not enough data
9.4
424
Not enough data
9.2
356
Not enough data
9.4
392
Not enough data
9.2
386
Not enough data
9.5
428
Generative AI
Not enough data
8.6
146
Functions
Not enough data
9.0
384
Not enough data
9.1
390
Not enough data
9.1
368
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
9.0
344
Not enough data
9.0
376
Not enough data
9.1
368
Agentic AI - Contact Center
Not enough data
7.9
26
Not enough data
8.8
26
Not enough data
8.3
26
Not enough data
8.3
26
Administrative
Not enough data
9.4
395
Not enough data
9.2
346
Not enough data
9.2
381
Not enough data
9.4
383
Not enough data
9.1
347
Conversational Platform
8.6
11
9.0
302
8.3
10
9.3
278
8.6
7
9.1
277
8.3
7
9.3
249
Support Automation
8.3
8
9.0
292
9.6
9
9.1
284
9.2
10
9.0
271
9.2
10
9.0
255
Generative AI
9.8
7
8.6
108
9.6
8
8.8
108
Customer Support
8.8
7
8.7
57
7.5
6
8.4
53
9.6
9
8.8
55
Automation
8.0
9
8.6
53
9.1
9
8.8
56
8.1
8
8.8
55
Artificial Intelligence
9.0
8
8.5
56
9.2
8
Feature Not Available
8.9
9
8.5
58
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
8.6
111
Not enough data
8.8
113
Not enough data
7.8
77
Communication
Not enough data
9.4
328
|
Verified
Not enough data
9.2
355
|
Verified
Not enough data
9.2
298
|
Verified
Not enough data
9.3
306
|
Verified
Not enough data
8.7
255
Internal Use
Not enough data
8.6
252
|
Verified
Not enough data
9.2
319
|
Verified
Not enough data
8.8
278
|
Verified
Not enough data
9.4
335
|
Verified
Not enough data
9.3
325
|
Verified
Not enough data
9.3
358
|
Verified
Generative AI
Not enough data
8.9
82
Self-Service Experience
Not enough data
9.4
241
Not enough data
9.2
226
Not enough data
8.8
191
Not enough data
8.9
197
Not enough data
9.0
218
Self-Service Platform
Not enough data
9.3
212
Not enough data
9.2
223
Not enough data
8.9
213
Not enough data
9.2
210
Agentic AI - Customer Self-Service
Not enough data
7.3
18
Not enough data
8.0
18
Not enough data
8.1
18
Not enough data
7.9
18
Not enough data
7.5
18
Not enough data
8.1
18
Not enough data
8.4
18
Generative AI
Not enough data
9.0(won by default)
61
Not enough data
9.0(won by default)
61
Process
Not enough data
9.1(won by default)
179
Not enough data
9.4(won by default)
195
Not enough data
9.4(won by default)
181
Channels
Not enough data
9.7(won by default)
237
Not enough data
9.3(won by default)
189
Not enough data
9.5(won by default)
226
Not enough data
9.3(won by default)
225
Not enough data
9.5(won by default)
227
Insight
Not enough data
9.0(won by default)
197
Not enough data
9.3(won by default)
198
Not enough data
9.3(won by default)
181
Not enough data
9.5(won by default)
182
Generative AI
Not enough data
8.4
45
Not enough data
8.5
46
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
8.1
15
Not enough data
8.5
14
Not enough data
8.6
14
Not enough data
8.5
16
Not enough data
8.3
14
Customer Interaction Automation - AI Customer Support Agents
Not enough data
8.2
14
Not enough data
7.7
13
Not enough data
8.6
13
Not enough data
8.9
15
Automation
Not enough data
8.9
15
Not enough data
8.0
14
Not enough data
7.3
14
Autonomy
Not enough data
8.4
15
Not enough data
8.8
14
Not enough data
8.3
15
Not enough data
8.6
15
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 Gladly are categorized as AI Customer Support Agents, Conversational Support, and Customer Service Automation
Unique Categories
Gladly is categorized as Digital Customer Service Platforms, Social Customer Service, Live Chat, Help Desk, Contact Center, and Customer Self-Service
Reviews
Reviewers' Company Size
Decagon
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Gladly
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%
Retail
23.9%
Consumer Services
15.7%
Furniture
9.0%
Apparel & Fashion
7.9%
Consumer Goods
6.4%
Other
37.2%
Alternatives
Discussions
Decagon has no discussions with answers
Can we get some more Gladly swag? Hoodie? Lol
2 Comments
IB
Hey John - Thank you for your awesome review. We'll see what we can do! :)
- Team GladlyRead more
What's the best way to connect to our account success rep?
2 Comments
IB
Hi Katheryn,
Thank you for your note. We will be in touch with you shortly to connect on this.
Sincerely,
GladlyRead more
Is there any training environment for gladly
2 Comments
GU
Hi Jerick. Having a "training" (sometimes referred to as a Sandbox environment) depends on your org. But if you'd like to access more formal training...Read more
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