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Compare Planhat and Voyado 
At a Glance
Market Segments
Mid-Market (60.9% of reviews)
Mid-Market (50.0% of reviews)
Entry-Level Pricing
Custom
No pricing available
Planhat
Star Rating
(882)4.5 out of 5
Market Segments
Mid-Market (60.9% of reviews)
Pros & Cons
Entry-Level Pricing
Custom
Learn more about PlanhatVoyado
Star Rating
(76)4.5 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about VoyadoSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Planhat excels in providing a clean and intuitive interface, making it easy for users to track customer health and manage accounts effectively. Users appreciate the customizable dashboards that offer quick insights into renewal risks and necessary actions.
- Users say that Voyado stands out for its responsive support team, which is crucial for maintaining smooth operations. Reviewers highlight the platform's reliability, noting minimal downtime compared to other services, which enhances overall user experience.
- According to verified reviews, Planhat has a higher overall satisfaction score, reflecting its ability to meet user needs effectively. Users have praised the platform for its visibility and actionable insights, which help in managing customer relationships more efficiently.
- Reviewers mention that Voyado offers a simple and easy-to-use UI for setting up emails and automations, making it accessible for users who prioritize straightforward communication with customers. This ease of use is a significant advantage for teams looking to streamline their marketing efforts.
- G2 reviewers highlight that while Planhat has a robust feature set, it may require more time for setup compared to Voyado, which is noted for its faster onboarding process. Users have expressed that Planhat's implementation can be more complex, which might be a consideration for teams with limited resources.
- Users report that both platforms provide strong support, but Planhat's quality of support is particularly noted for its personalized assistance, with users mentioning specific team members who have made a positive impact on their experience. This level of support can be a deciding factor for businesses looking for a partner in their customer data management.
Pricing
Entry-Level Pricing
Planhat
From Start-up to Enterprise
Custom
Planhat is priced to fit your company size. You can view details here: https://www.planhat.com/pricing/
Voyado
No pricing availableFree Trial
Planhat
No trial information availableVoyado
No trial information availableRatings
Meets Requirements
8.6
734
8.4
60
Ease of Use
8.3
741
8.9
63
Ease of Setup
7.5
498
8.2
39
Ease of Admin
8.2
445
9.2
17
Quality of Support
9.2
713
9.0
62
Has the product been a good partner in doing business?
9.3
441
9.3
18
Product Direction (% positive)
9.2
684
8.6
60
Features by Category
Sales Force Automation
8.4
27
Not enough data
7.5
25
Not enough data
7.4
24
Not enough data
8.3
27
Not enough data
6.7
24
Not enough data
8.6
25
Not enough data
7.0
23
Not enough data
6.2
24
Not enough data
6.4
24
Not enough data
Marketing Automation
7.2
26
Not enough data
6.7
26
Not enough data
5.9
25
Not enough data
5.3
25
Not enough data
Customer Support
7.2
27
Not enough data
7.0
27
Not enough data
7.3
27
Not enough data
5.8
24
Not enough data
6.3
24
Not enough data
Reporting & Analytics
7.6
28
Not enough data
7.4
29
Not enough data
7.0
26
Not enough data
Mobile & Social
6.2
24
Not enough data
5.6
23
Not enough data
5.0
23
Not enough data
Platform
8.7
52
Not enough data
8.2
51
Not enough data
8.6
51
Not enough data
7.4
48
Not enough data
5.6
44
Not enough data
6.7
46
Not enough data
8.2
49
Not enough data
7.1
46
Not enough data
Integration
7.7
40
Not enough data
7.8
40
Not enough data
7.4
38
Not enough data
Generative AI
7.0
18
Not enough data
Agentic AI - CRM
6.1
17
Not enough data
6.4
17
Not enough data
6.5
17
Not enough data
5.9
17
Not enough data
6.5
16
Not enough data
6.1
16
Not enough data
6.0
16
Not enough data
Email Marketing
Not enough data
8.8
35
Not enough data
9.4
35
Not enough data
9.3
35
Not enough data
8.9
34
Online Marketing
Not enough data
7.4
31
Not enough data
8.0
34
Not enough data
8.5
35
Not enough data
8.4
35
Not enough data
7.5
33
Lead Management
Not enough data
7.9
30
Not enough data
8.6
31
Not enough data
9.0
35
Not enough data
7.4
30
Not enough data
7.9
30
Not enough data
8.1
30
Not enough data
7.6
28
Not enough data
8.0
28
Campaign Management
Not enough data
7.8
28
Not enough data
7.5
26
Not enough data
7.5
27
Not enough data
6.2
27
Social
Not enough data
5.6
25
Not enough data
6.1
25
Not enough data
6.2
27
Not enough data
5.7
25
Not enough data
6.6
26
Reporting & Analytics
Not enough data
7.7
31
Not enough data
7.0
29
Not enough data
6.9
27
Not enough data
7.3
27
Not enough data
5.9
23
Platform
Not enough data
8.2
28
Not enough data
8.3
26
Not enough data
8.8
27
Not enough data
8.3
25
Not enough data
8.7
27
Not enough data
9.3
29
Not enough data
7.7
26
Agentic AI - Marketing Automation
Not enough data
6.8
10
Not enough data
6.7
10
Not enough data
7.0
9
Not enough data
6.0
10
Not enough data
6.7
10
Not enough data
6.7
10
Integration
Not enough data
8.6
28
Not enough data
7.9
27
Not enough data
7.9
27
Customer Information
8.6
555
|
Verified
Not enough data
8.8
549
|
Verified
Not enough data
8.8
560
|
Verified
Not enough data
8.2
545
|
Verified
Not enough data
8.5
512
|
Verified
Not enough data
8.0
489
|
Verified
Not enough data
7.2
420
|
Verified
Not enough data
Predictions
7.9
493
|
Verified
Not enough data
7.4
431
|
Verified
Not enough data
8.3
493
|
Verified
Not enough data
6.6
348
|
Verified
Not enough data
Platform
8.3
544
|
Verified
Not enough data
8.1
516
|
Verified
Not enough data
8.2
489
|
Verified
Not enough data
8.5
496
|
Verified
Not enough data
8.2
520
|
Verified
Not enough data
8.6
517
|
Verified
Not enough data
8.8
508
|
Verified
Not enough data
8.9
475
|
Verified
Not enough data
8.5
518
|
Verified
Not enough data
8.8
519
|
Verified
Not enough data
Generative AI
6.1
170
Not enough data
6.2
173
Not enough data
Agentic AI - Customer Success
6.3
98
Not enough data
6.7
98
Not enough data
6.8
101
Not enough data
6.5
97
Not enough data
6.2
98
Not enough data
Billing and Payments
7.9
80
Not enough data
7.6
68
Not enough data
7.5
74
Not enough data
Revenue Recognition
8.2
97
Not enough data
7.0
69
Not enough data
7.5
74
Not enough data
Revenue Optimization
8.1
103
Not enough data
7.4
78
Not enough data
8.2
106
Not enough data
7.8
92
Not enough data
Visitor Behavior
Not enough data
6.2
11
Not enough data
7.9
11
Not enough data
6.5
11
Templates
Not enough data
6.7
9
Not enough data
6.5
10
Not enough data
7.2
10
Personalization
Not enough data
7.8
12
Not enough data
7.6
11
Not enough data
7.9
12
Not enough data
6.4
12
Not enough data
7.7
10
Not enough data
8.1
9
Not enough data
8.2
11
Not enough data
7.7
10
Multichannel
Not enough data
6.3
8
Not enough data
9.3
9
Not enough data
8.5
9
Administration
Not enough data
8.5
9
Not enough data
8.3
9
Not enough data
8.9
9
Not enough data
7.8
9
Agentic AI - E-Commerce Personalization
Not enough data
Not enough data
Not enough data
Not enough data
Product Analytics
8.6
81
Not enough data
8.2
81
Not enough data
8.9
77
Not enough data
7.7
66
Not enough data
8.4
79
Not enough data
8.3
67
Not enough data
8.3
75
Not enough data
8.5
81
Not enough data
Agentic AI - Product Analytics
6.5
19
Not enough data
7.0
18
Not enough data
6.2
17
Not enough data
6.6
18
Not enough data
Segmentation
Not enough data
Not enough data
Not enough data
Not enough data
Targeting
Not enough data
Not enough data
Not enough data
Not enough data
Triggered Content
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Content
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Personalization Engines
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
Text Messaging
Not enough data
9.0
10
Not enough data
5.2
8
Not enough data
8.9
9
Not enough data
6.2
7
Not enough data
5.0
8
Not enough data
4.4
9
Not enough data
8.5
10
Not enough data
8.7
9
SMS Platform
Not enough data
6.9
9
Not enough data
8.1
8
Not enough data
6.4
7
Not enough data
5.7
7
Not enough data
6.2
7
Not enough data
7.5
8
Agentic AI - SMS Marketing
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
Data Sourcing
8.2
181
7.7
14
8.4
175
7.9
13
6.4
139
6.7
14
7.3
141
8.0
14
Intelligence
6.3
121
7.9
13
6.5
129
6.4
12
6.5
124
6.4
12
Merchandising
Not enough data
6.8
10
Not enough data
6.8
10
Not enough data
5.7
10
Not enough data
3.7
9
Not enough data
3.7
9
Analytics
Not enough data
5.6
9
Not enough data
6.1
9
Administration
Not enough data
6.1
9
Not enough data
5.4
9
Sales Team
7.7
89
Not enough data
7.3
88
Not enough data
8.0
108
Not enough data
Intelligence
7.6
99
Not enough data
7.4
89
Not enough data
7.2
86
Not enough data
Mapping
6.9
84
Not enough data
8.2
99
Not enough data
Agentic AI - Customer Revenue Optimization
7.0
28
Not enough data
7.3
28
Not enough data
7.0
28
Not enough data
7.3
28
Not enough data
6.7
27
Not enough data
7.2
29
Not enough data
Platform Basics
8.0
166
Not enough data
7.9
151
Not enough data
8.2
146
Not enough data
7.7
132
Not enough data
7.8
137
Not enough data
Agentic AI - Customer Journey Mapping
6.4
36
Not enough data
Content
7.2
122
Not enough data
6.8
102
Not enough data
5.7
97
Not enough data
6.2
93
Not enough data
7.1
108
Not enough data
Collaboration
6.5
103
Not enough data
6.3
100
Not enough data
8.0
124
Not enough data
8.0
139
Not enough data
7.3
104
Not enough data
4.7
85
Not enough data
Onboarding Setup
8.6
252
Not enough data
8.1
256
Not enough data
8.6
258
Not enough data
Project Tracking
8.2
235
Not enough data
7.7
201
Not enough data
8.0
211
Not enough data
8.4
254
Not enough data
7.9
208
Not enough data
Customer Engagement
7.8
229
Not enough data
8.0
224
Not enough data
7.4
213
Not enough data
8.3
229
Not enough data
8.1
233
Not enough data
Loyalty Experience
Not enough data
8.8
18
Not enough data
8.8
17
Not enough data
9.2
17
Not enough data
9.1
17
Not enough data
7.1
16
Not enough data
8.1
16
Loyalty Platform
Not enough data
8.6
18
Not enough data
9.3
18
Not enough data
8.1
17
Not enough data
8.2
16
Not enough data
8.6
17
Agentic AI - Loyalty Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Computing
Not enough data
6.7
15
Not enough data
6.1
15
Not enough data
8.3
15
Experimental Design
Not enough data
7.3
15
Not enough data
7.0
14
Not enough data
6.9
15
Analytics
Not enough data
7.6
16
Not enough data
5.0
16
Agentic AI - A/B Testing
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 - 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
Agentic AI - Personalization
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
Functionality
7.6
54
Not enough data
7.4
50
Not enough data
7.5
46
Not enough data
7.2
49
Not enough data
7.2
54
Not enough data
Management
8.1
61
Not enough data
8.3
61
Not enough data
7.2
48
Not enough data
8.2
63
Not enough data
8.1
49
Not enough data
Generative AI
6.4
31
Not enough data
6.6
31
Not enough data
Categories
Categories
Shared Categories
Planhat and Voyado are categorized as Customer Data Platform (CDP)
Unique Categories
Planhat is categorized as Client Portal, Customer Journey Mapping, Customer Revenue Optimization, Product Analytics, Subscription Revenue Management, Customer Success, CRM, Data Quality, AI Agent Builders, and Client Onboarding
Voyado is categorized as Personalization Engines, E-Commerce Personalization, Loyalty Management, A/B Testing, E-Merchandising, Marketing Automation, SMS Marketing, and Personalization
Reviews
Reviewers' Company Size
Planhat
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Voyado
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
Computer Software
37.7%
Information Technology and Services
18.4%
Marketing and Advertising
7.9%
Education Management
2.5%
E-Learning
2.3%
Other
31.2%
Retail
23.5%
Apparel & Fashion
20.6%
Marketing and Advertising
7.4%
Consumer Goods
7.4%
Information Technology and Services
5.9%
Other
35.3%
Alternatives
Discussions
How long did it take to implement?
2 Comments
PB
6 weeks or so, but most of my time was spent organising our data rather than customising PH itself so it depends on what sort of state your data is in.Read more
What's the best way to manage crossell opportunities on planhat?
1 Comment
Official Response from Planhat
Hi Pedro,
Thanks for your question!
There are several ways to manage cross-sale opportunities in Planhat. Firstly, intelligent triggers and alerts can...Read more
How can I, launch two simultaneos NPScampaings
1 Comment
Official Response from Planhat
Hi Matheus, your CSM will be in touch shortly and help you to set it up :)
Read more
Can I use this for entermain
1 Comment
CB
Try this product ,:- https://jvz1.com/c/2817839/393694/Read more
Voyado has no more discussions with answers
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