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At a Glance
Market Segments
Mid-Market (60.9% of reviews)
Mid-Market (43.2% of reviews)
Entry-Level Pricing
Custom
$500.00 100000 Credits
Planhat
Star Rating
(883)4.5 out of 5
Market Segments
Mid-Market (60.9% of reviews)
Pros & Cons
Entry-Level Pricing
Custom
Learn more about PlanhatSalesforce Data Cloud
Star Rating
(206)4.3 out of 5
Market Segments
Mid-Market (43.2% of reviews)
Pros & Cons
Entry-Level Pricing
$500.00 100000 Credits
Learn more about Salesforce Data CloudSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Reviews say that Planhat excels in Quality of Support, scoring 9.3, with users highlighting the responsiveness and helpfulness of the support team, while Salesforce Data Cloud, with a score of 8.6, has received feedback indicating that support can be slower at times.
- Users report that Planhat's Ease of Use is rated at 8.3, with many finding the interface intuitive and user-friendly, whereas Salesforce Data Cloud, scoring 7.9, has some users mentioning a steeper learning curve due to its more complex features.
- Reviewers mention that Planhat has a strong Product Direction score of 9.2, indicating a positive outlook on future updates and features, while Salesforce Data Cloud, with a score of 9.0, is also viewed positively but with slightly less enthusiasm regarding its roadmap.
- Users on G2 highlight that Salesforce Data Cloud shines in Expandability, scoring 9.0, with many praising its ability to integrate seamlessly with other tools, while Planhat, at 8.4, is noted for its capabilities but lacks some of the extensive integration options that Salesforce offers.
- G2 users report that Planhat's Content Marketing features are less robust, scoring only 6.4, with reviewers mentioning limited capabilities compared to Salesforce Data Cloud, which scores 8.5 and is praised for its comprehensive marketing tools.
- Users say that while Planhat has a solid Data Enrichment score of 8.3, Salesforce Data Cloud outperforms it with a score of 8.8, with reviewers noting that Salesforce provides more extensive data sources and better insights for decision-making.
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/
Salesforce Data Cloud
Consumption Credits
$500.00
100000 Credits
List Price
- Data Services
- Segmentation & Activation
Free Trial
Planhat
No trial information availableSalesforce Data Cloud
No trial information availableRatings
Meets Requirements
8.6
735
9.0
88
Ease of Use
8.3
742
8.0
166
Ease of Setup
7.5
499
7.4
139
Ease of Admin
8.2
445
8.6
42
Quality of Support
9.2
714
8.7
84
Has the product been a good partner in doing business?
9.3
441
9.3
41
Product Direction (% positive)
9.2
685
9.1
86
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
Data Integration
Not enough data
10.0
5
Not enough data
10.0
5
Not enough data
9.7
5
Not enough data
8.0
5
Not enough data
9.3
5
Not enough data
10.0
5
Agentic AI - Data Management Platform (DMP)
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
9.7
6
Not enough data
9.4
6
Not enough data
9.2
6
Not enough data
8.6
6
Data Analysis & Optimization
Not enough data
10.0
5
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.4
6
Platform
Not enough data
8.9
6
Not enough data
9.7
6
Not enough data
10.0
6
Not enough data
9.4
6
Not enough data
10.0
5
Customer Information
8.7
556
|
Verified
Not enough data
8.8
550
|
Verified
Not enough data
8.8
561
|
Verified
Not enough data
8.2
546
|
Verified
Not enough data
8.5
513
|
Verified
Not enough data
8.0
490
|
Verified
Not enough data
7.2
421
|
Verified
Not enough data
Predictions
7.9
494
|
Verified
Not enough data
7.4
432
|
Verified
Not enough data
8.3
494
|
Verified
Not enough data
6.7
349
|
Verified
Not enough data
Platform
8.3
545
|
Verified
Not enough data
8.1
517
|
Verified
Not enough data
8.2
490
|
Verified
Not enough data
8.5
497
|
Verified
Not enough data
8.2
521
|
Verified
Not enough data
8.6
518
|
Verified
Not enough data
8.8
509
|
Verified
Not enough data
8.9
476
|
Verified
Not enough data
8.5
519
|
Verified
Not enough data
8.8
520
|
Verified
Not enough data
Generative AI
6.2
171
Not enough data
6.2
174
Not enough data
Agentic AI - Customer Success
6.3
99
Not enough data
6.7
99
Not enough data
6.8
102
Not enough data
6.5
98
Not enough data
6.2
99
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
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
Administration
Not enough data
9.0
7
Not enough data
8.8
7
Not enough data
8.6
6
Not enough data
8.3
7
Management
Not enough data
8.3
7
Not enough data
9.0
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
8.3
6
Compliance
Not enough data
9.3
7
Not enough data
9.0
7
Not enough data
9.3
7
Not enough data
10.0
6
Security
Not enough data
9.3
7
Not enough data
8.8
7
Not enough data
9.3
7
Data Quality
Not enough data
9.3
7
Not enough data
8.8
7
Not enough data
9.5
7
Maintainence
Not enough data
9.0
7
Not enough data
9.0
7
Generative AI
Not enough data
8.1
7
Not enough data
8.3
7
Agentic AI - Data Governance
Not enough data
8.3
7
Not enough data
8.3
7
Not enough data
9.0
7
Not enough data
9.0
7
Not enough data
8.6
7
Not enough data
9.4
6
Data Sourcing
8.2
181
8.9
30
8.4
175
9.1
30
6.4
139
8.6
29
7.3
141
9.1
29
Intelligence
6.3
121
8.6
29
6.5
129
8.8
28
6.5
124
8.6
28
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
Audiences
Not enough data
10.0
6
Not enough data
9.2
6
Not enough data
9.7
6
Not enough data
10.0
6
Data Analysis
Not enough data
9.2
6
Not enough data
9.4
6
Not enough data
9.7
6
Not enough data
10.0
6
Administration
Not enough data
9.7
6
Not enough data
9.4
6
Not enough data
9.2
6
Agentic AI - Audience Intelligence Platforms
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
8.9
6
Not enough data
8.9
6
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
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
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
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 - Firewall Software
Not enough data
8.3
17
Not enough data
8.7
17
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 Salesforce Data Cloud 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
Salesforce Data Cloud is categorized as Audience Intelligence Platforms, Identity Resolution, Data Management Platform (DMP), Master Data Management (MDM), Data Governance, and Data Management Software
Reviews
Reviewers' Company Size
Planhat
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Salesforce Data Cloud
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
37.8%
Information Technology and Services
18.4%
Marketing and Advertising
7.9%
Education Management
2.5%
E-Learning
2.3%
Other
31.2%
Information Technology and Services
16.8%
Computer Software
9.5%
Financial Services
7.4%
Consulting
4.7%
Marketing and Advertising
4.2%
Other
57.4%
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
Salesforce Data Cloud has no discussions with answers
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