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Gong vs Salesforce Sales Cloud comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Gong
Ranking in Conversation Intelligence Software
1st
Average Rating
9.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Salesforce Sales Cloud
Ranking in Conversation Intelligence Software
3rd
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
117
Ranking in other categories
CRM (2nd), Opportunity Management (1st), Sales Force Automation (2nd)
 

Mindshare comparison

As of August 2025, in the Conversation Intelligence Software category, the mindshare of Gong is 19.5%. The mindshare of Salesforce Sales Cloud is 4.4%. It is calculated based on PeerSpot user engagement data.
Conversation Intelligence Software Market Share Distribution
ProductMarket Share (%)
Gong19.5%
Salesforce Sales Cloud4.4%
Other76.1%
Conversation Intelligence Software
 

Featured Reviews

FG
Centralized communication improves efficiency and training effectiveness with AI-powered insights
Gong records all our calls, giving us feedback and creating a central platform for communication within our company. It's powerful for sales training and providing resources to our customers. Using the AI, Gong summarizes calls, gives notes, suggests follow-up emails, and provides useful statistics like talking time and sentiment scores. It also transcribes calls, allowing us to search transcripts with AI for insights about the account, including sentiment in calls and emails, without relying solely on my notes. This centralization makes Gong a great tool.
Kamal Deep - PeerSpot reviewer
Experience exceptional project enhancements and seamless automation integration
Salesforce Sales Cloud itself is a wonderful solution, and there are two different versions: Lightning and classic. The Lightning version is a new generation version compatible with any mobile device, whether it's a phone, iPad, or any size of screen. The reporting and analytics functionalities, especially with the Einstein feature, are wonderful because it allows for analysis of data regarding your opportunity pipeline, giving insight into how long it will take to close deals. This gives a great understanding of running different levels of campaigns and defining smart workflows, where if one task is done, the other task can automatically get created and assigned to different team members. This flexibility is a key benefit of Salesforce Sales Cloud. Lead management is a great feature in Salesforce Sales Cloud because if you go for enterprise and above licenses, you can define different record types. For example, if one company is into two different businesses such as real estate and car reselling, both being opposite, this can be defined in Salesforce Sales Cloud, allowing for different workflows, fields, and mechanisms that do not affect each other's operations. The predictive insight feature known as forecasting is a very old feature of Salesforce Sales Cloud, giving predictions based on your pipeline and previous opportunity closings. The new Einstein analytics feature is more advanced and is enabled with AI, providing better forecasting based on your current pipeline. Salesforce Sales Cloud is working smartly with AI to help close more deals based on opportunity stages, trends, and industries, advising on the steps to take next. Lead generation is the most important thing because every sale starts from the lead. At the lead level, different stages and resources can be defined. You can capture leads from various resources, with Salesforce Sales Cloud offering a web-to-lead feature and integrations with LinkedIn to fetch data. Once a lead is qualified and converted into opportunities, there are stages with percentages, and workflows can help in easily closing deals.
report
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866,218 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Computer Software Company
12%
Financial Services Firm
9%
Manufacturing Company
9%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business54
Midsize Enterprise26
Large Enterprise40
 

Questions from the Community

What needs improvement with Gong?
I wish the AI summaries were more accurate, and it would be nice if there were a way to include what a customer says about a specific topic in the AI summary. This is because when using the AI summ...
What is your primary use case for Gong?
My main use case for Gong is call summarization, call recordings, AI summaries, and tracking operations.
What advice do you have for others considering Gong?
My biggest piece of advice is to ensure Gong suits your organization's needs and that it has all the right features. There are alternatives, such as SalesLoft, which has a module with call recordin...
What do you like most about Salesforce Sales Cloud?
The features of Sales Cloud most useful for testing and running email campaigns are highly valuable.
What needs improvement with Salesforce Sales Cloud?
From a customer perspective, it's a very stable system, and people are used to its functionalities, good and bad. Improvement, in my opinion, would be to include AI functionality in a simpler way; ...
What is your primary use case for Salesforce Sales Cloud?
For managing two different things, I'm managing some sales pipeline, the pipeline of sales of some products, and also doing marketing automation for after-sales.
 

Comparisons

 

Also Known As

No data available
Sales Cloud, SFDC, Salesforce
 

Overview

 

Sample Customers

Information Not Available
Coca-Cola Enterprises, Kuoni Global Travel Services, Financial Times, Just Eat, Jobsite, H.R. Owen, PlayerLayer, O2, DMGT, Philips, Xtreme.ie, Business Stream, Remote Asset Management, Dialogue Group
Find out what your peers are saying about Gong vs. Salesforce Sales Cloud and other solutions. Updated: July 2025.
866,218 professionals have used our research since 2012.