What is Gong and how does it transform revenue operations in 2025? [toc=Gong Overview]

Gong is the #1 AI-powered revenue intelligence platform that fundamentally transforms how businesses approach sales, forecasting, and customer engagement by capturing and analyzing every customer interaction across multiple channels. Founded in 2015 by CEO Amit Bendov and engineer Eilon Reshef, Gong emerged from a critical realization: revenue teams were making decisions based on incomplete customer data, relying on guesswork rather than actual customer conversations.

How Gong Works

Unlike traditional CRM systems that rely on manual input, Gong automatically captures customer interactions from video calls, phone conversations, emails, and digital touchpoints, then uses AI and machine learning to transform raw conversation data into actionable revenue insights. The platform integrates with online calendars, joins meetings as a participant, securely stores recordings, and uses AI to analyze and transcribe all interactions.

Real user feedback highlights this transformation:

Scott T., Director of Sales at a mid-market company, explains: "Gong has become the single source of truth for our sales team. From deal management to forecasting it's been really easy to gain adoption across the team. Before Gong we had a lack of visibility across our deals because information was siloed in several places like CRM, Email, Zoom, phone. Now all of this is centralized in one view via the Gong deal boards."

Core Revenue Transformation Impact

The platform delivers measurable business outcomes through three fundamental transformations:

Reality-Based Operations: Teams operate based on what actually works in the field rather than opinions, enabling revenue professionals to reach their full potential through coaching and learning from top performers.

Autonomous Productivity: AI-powered automation increases efficiency by understanding the best next action with real-time insights, making teams more efficient and engaged.

Aligned Workflows: Simplifies seller experience on a single platform while quickly aligning teams to strategy changes, tapping into the voice of the customer.

Trafford J., Senior Director of Revenue Enablement, validates this impact: "As a Series B startup we rely on the intelligence and insights from Gong to understand and scale what's working, and to better understand real risk and opportunity. Full suite for conversation intelligence, forecast accuracy, email outreach."

With over 4,500 customers including five Fortune 10 companies, Gong has established itself as the undisputed leader in revenue AI technology, delivering results like 95% forecast accuracy, 80% increase in email response rates, and 3-month reduction in ramp time.

How much does Gong actually cost in 2025? (Complete pricing breakdown) [toc=Gong Pricing]

Gong's pricing structure remains intentionally opaque with no public pricing available, requiring sales conversations to obtain quotes. Based on our research of customer proposals and industry sources, here's the complete cost breakdown for 2025.

Gong's Three-Component Pricing Model

Gong operates on a complex pricing structure that includes platform fees, per-user licensing, and additional service costs:

Detailed Per-User Pricing Tiers (2025)

Real-World Cost Impact by Company Size

Small Teams (10-50 Sales Reps) face the highest per-user costs due to fixed platform fee impact:

• 10 reps: $28,500 first-year total ($238/month per rep)
• 25 reps: $52,500 first-year total ($175/month per rep)
• 50 reps: $88,500 first-year total ($148/month per rep)

Customer sentiment around pricing is overwhelmingly negative.

‍Neel P., Sales Operations Manager at a small business, warns: "The lack of robust data export options has made it hard to justify the platform's cost, especially as it falls short of meeting practical data management needs."

Mid-Market Teams (50-250 Sales Reps) represent Gong's core customer base where volume discounts begin to make economic sense, with costs ranging from $126,500 to $352,500 for the first year.

Enterprise Teams (250+ Sales Reps) receive the most favorable pricing with significant negotiating leverage, often securing 15-25% volume discounts through aggressive negotiation and multi-year commitments.

Hidden Costs and Customer Frustrations

Iris P., Head of Marketing at a mid-market company, reflects the common sentiment: "It was a big mistake on our part to commit to a two year term. Gong is a really powerful tool but it's probably the highest end option on the market, and now we're stuck with a tool that works technically but isn't the right business decision."

The total cost of ownership typically exceeds quoted prices by 25-35% when factoring in implementation, training, and ongoing optimization costs. For teams seeking transparent pricing and modern sales productivity tools, alternatives like Oliv.ai offer clear pricing starting at $19/user monthly with no hidden fees.

What are Gong's core features and how do they impact sales performance? [toc=Core Features]

Gong's revenue intelligence platform centers around five core capabilities that directly impact sales performance through AI-powered insights and automation.

Core Platform Components

Gong Data Engine: The Foundation

The Gong Data Engine serves as the bedrock, automatically capturing 100 times more data than conventional CRM approaches. It records interactions across video, phone, email, SMS, and digital platforms while maintaining enterprise-grade security and seamless integration with 250+ business applications.

Gong AI Agents: Purpose-Built for Revenue

Gong's AI agents represent the next evolution in revenue automation, designed specifically for sales teams with five core capabilities:

• Advanced Detection: Identifies complex concepts, deal risks, and emerging trends
• Generative AI: Creates personalized customer outreach leveraging complete deal context
• Intelligent Guidance: Prioritizes high-impact tasks and provides strategic recommendations
• Powerful Automation: Standardizes processes while eliminating manual data entry
• Predictive Intelligence: Forecasts revenue outcomes using 300+ unique signals

Key Features and Performance Impact

Real User Performance Outcomes

Amanda R., Director of Customer Success, explains the practical impact: "My favorite aspect of Gong is being able to go into any account and ask what is going on. By asking what the customer said they needed, I can prepare for any meeting, from kickoff to renewal. Gong is helping us solve some of the handoff issues we were having between sales and onboarding."

Alexis F., Sr Director of Revenue Operations, highlights comprehensive benefits: "Insight into the actual voice of the customer, product adoption, enablement pathways, decreases the internal meetings around new customer onboarding, increased ramp time for new hires, mitigates churn."

Measurable Performance Improvements

Companies using Gong report significant performance improvements:

• 95% forecast accuracy through AI-powered pipeline management
• 80% increase in email response rates with AI-powered insights
• 3-month reduction in ramp time through targeted coaching
• 16% higher win rates and 11% stronger revenue growth year-over-year

Feature Limitations and User Concerns

Despite powerful capabilities, users report some limitations.

‍Annabelle H., Board Director at an enterprise company, notes: "No way to collaborate / share a library of top calls, AI is not great (yet) - the product still feels like its at its infancy and needs to be developed further."

John S., Senior Account Executive, adds: "It's too complicated, and not intuitive at all. Using it is very...discomforting. Searching for calls is not easy, moving around in the calls is not easy, and understanding the pipeline management portion of it is almost impossible."

We've observed that while Gong offers comprehensive revenue intelligence capabilities, the complexity can create adoption challenges, particularly for teams seeking intuitive, user-friendly solutions. The platform excels in enterprises with dedicated resources for training and optimization but may overwhelm smaller teams looking for straightforward sales management tools. For organizations prioritizing effective meeting preparation and streamlined sales call planning, alternatives like Oliv's AI agents provide comprehensive automation without the complexity barrier.

What do real users say about Gong? (Verified reviews and feedback) [toc=User Reviews]

Real user feedback reveals a mixed but generally positive sentiment toward Gong, with significant variations based on company size, implementation resources, and use case alignment. We've analyzed over 6,000 verified reviews across G2, TrustRadius, and Gartner to provide an unfiltered perspective on actual user experiences.

Enterprise Users: Strong Value Recognition

Enterprise customers with dedicated RevOps teams consistently report high satisfaction, particularly around conversation intelligence and deal visibility.

Elspeth C., Chief Commercial Officer at a small business, emphasizes the platform's critical role: "Gong's product is second to none and without it, I couldn't do my job properly - it's my most visited tab on Chrome! The wide ranging suite of features and functionalities really help me coach the team and gain great visibility over our pipeline."

Karel Bos, Head of Sales at Vesper B.V., highlights practical coaching benefits: "As a team manager, having access to Gong is amazing. Also, for people that are onboarding the meeting libraries we have built are great. It speeds up the ramp up phases."

Mid-Market Experiences: Feature-Rich but Complex

Mid-market users appreciate Gong's comprehensive capabilities but frequently cite complexity and cost concerns.

Miodrag, Enterprise Account Executive in Serbia, reflects common sentiment: "Overall it is a great product. Sadly Gong.io as a leader in its market is not too open to negotiate with smaller companies. The recordings are very easy to set up, navigate, go through and find the most important bits of it. The pricing is probably the biggest obstacle and hence we are looking to change."

Arnaud Desage, Sales Manager at ABTASTY, appreciates core functionality while noting limitations: "I use Gong software to record my calls and quickly get a summary of our exchanges. It allows me to easily find information and share the call summaries internally, especially with my managers. This helps me improve my skills by analyzing my conversations and receiving constructive feedback."

Consistent User Pain Points

Across all segments, users report recurring challenges that impact daily usage and sales team collaboration:

John S., Senior Account Executive, captures widespread usability concerns: "It's too complicated, and not intuitive at all. Using it is very...discomforting. Searching for calls is not easy, moving around in the calls is not easy, and understanding the pipeline management portion of it is almost impossible."

Based on G2's analysis of user reviews, the top 5 user complaints consistently mentioned are:

1. Call search tool difficulties (154 mentions) - Loading delays and poor navigation
2. Recording access issues (122 mentions) - Delays and difficulty finding specific calls
3. AI functionality inaccuracy (87 mentions) - Problems with account identification and transcription
4. Accent and context accuracy problems (84 mentions) - Struggles with diverse speaking patterns
5. Interface complexity (67 mentions) - Overwhelming options affecting usability

Remington Adams, Team Lead at Weave HQ, notes a fundamental operational issue: "It takes an eternity to upload a call to listen to it."

The consensus among verified users suggests that while Gong delivers powerful insights for teams with proper implementation resources, the platform's complexity and cost create adoption barriers for smaller organizations seeking straightforward note-taking AI solutions.

How does Gong compare to alternatives like Oliv.ai and other revenue intelligence tools? [toc=Gong vs Alternatives]

The revenue intelligence landscape has evolved significantly, offering teams multiple alternatives with different pricing models, feature sets, and implementation approaches. Based on our analysis of competitive positioning and user feedback, here's how Gong compares to leading alternatives.

Comprehensive Platform Comparison

*Gong pricing includes platform fees distributed across users

Feature-by-Feature Analysis

Conversation Intelligence: Gong leads in sophisticated AI analysis and transcription accuracy, while alternatives like Oliv.ai focus on real-time workflow automation beyond post-call analysis.

Pricing Transparency: This represents Gong's biggest competitive disadvantage. As noted in our research, "Gong's pricing lacks transparency - requires sales calls for quotes, with hidden platform fees ranging $5K-$50K annually", while competitors like Oliv.ai offer transparent pricing starting at $19/user monthly with no hidden fees.

Implementation Complexity: User feedback consistently shows Gong requires significant training and dedicated resources, whereas alternatives prioritize ease of adoption and effective sales communication.

User Migration Patterns and Feedback

Recent market analysis reveals interesting migration patterns.

‍A significant user review highlights common frustrations driving platform switches: "We've had a disappointing experience with Gong Engage, and I want to share our story to help others avoid the same mistakes. Despite its potential, Gong Engage falls short in several critical areas. The platform lacks task APIs, does not integrate with other vendors or parallel dialers, and isn't built to function as a proper sequencing tool."

The reviewer continues: "When we initially signed up, our sales rep promised integrations and a more robust system, but none of that materialized. The tool is slow, buggy, and creates an excessive administrative burden on the user side."

Specialized Alternative Advantages

Oliv.ai specifically addresses Gong's complexity and pricing concerns through:

• AI Agent Automation: End-to-end workflow automation across all GTM functions
• Transparent Pricing: No hidden platform fees or forced bundling
• Special Migration Offer: FREE starter plan for former Gong users
• Flexible Contracts: Monthly and annual options without multi-year commitments

Fireflies.ai appeals to budget-conscious teams with basic meeting intelligence needs, while Clari CoPilot serves organizations prioritizing real-time coaching over post-call analysis.

The competitive landscape suggests that while Gong maintains technical leadership in conversation intelligence, alternatives are successfully addressing user pain points around pricing transparency, implementation complexity, and workflow integration that enterprise buyers increasingly prioritize.

What are the biggest pros and cons of implementing Gong? [toc=Pros and Cons]

Based on extensive user feedback analysis and our experience with revenue intelligence implementations, here are the critical advantages and disadvantages teams should consider before investing in Gong.

Major Advantages

1. Comprehensive Conversation Intelligence

Gong's AI-powered conversation analysis represents the industry gold standard. Users consistently praise the platform's ability to capture nuanced customer interactions and transform them into actionable insights.

Time-saving AI features receive the most positive user mentions (394 mentions on G2), with users highlighting improved conversation quality and preparation capabilities.

Amanda R., Director of Customer Success, explains practical benefits: "My favorite aspect of Gong is being able to go into any account and ask what is going on. By asking what the customer said they needed, I can prepare for any meeting, from kickoff to renewal. Gong is helping us solve some of the handoff issues we were having between sales and onboarding."

2. Superior Call Recording and Management

The call recording feature ranks as invaluable for retention, training, and productivity enhancement (303 mentions). Users appreciate seamless integration with existing communication tools and comprehensive recording capabilities.

Reddit users echo this sentiment, noting "It's the easiest way to both remember all of your action items and CYA too since it always auto records."

3. Advanced Coaching and Development

Enterprise teams leverage Gong's coaching intelligence to systematically improve rep performance through data-driven insights rather than subjective feedback, supporting comprehensive sales productivity guides.

Managers particularly appreciate the coaching capabilities, with one Reddit user sharing: "As a manager I love it as a coaching tool - allowing me to give feedback to my CSMs (when they request it!) without having to attend every call live."

4. Comprehensive Feature Set and AI Insights

Gong is praised for its wide range of features that help sales teams. Reddit users highlight: "Call monitoring, call trackers, score cards, folders for best calls, talk ratios, etc. Super helpful."

Many users appreciate the AI capabilities of Gong, which provide valuable insights from sales conversations. "The audio recording and transcript with AI integration are also pretty good, to be honest."

5. User-Friendly Interface

Gong is noted for being user-friendly and easy to integrate into daily workflows, making it accessible for teams looking to adopt conversation intelligence without extensive technical barriers.

Critical Disadvantages

1. Significant Pricing and Complexity Barriers

Cost represents the overwhelming user concern, particularly for mid-market and smaller teams.

‍Iris P., Head of Marketing at a mid-market company, shares a common regret: "It was a big mistake on our part to commit to a two year term. Gong is a really powerful tool but it's probably the highest end option on the market, and now we're stuck with a tool that works technically but isn't the right business decision."

Reddit users consistently echo this concern: "I think it's pretty expensive though."

2. User Experience and Adoption Challenges

The call search tool difficulties represent the top user complaint (154 mentions), with users frequently encountering loading delays and navigation problems. Recording issues (122 mentions) and AI functionality inaccuracy (87 mentions) further compound adoption challenges.

Reddit community feedback reinforces these concerns:

• Buggy and Unreliable: "Every other week there is a new bug."
• Slow Performance: "The 'flows' are slow, and the email 'windows' often freeze."
• Poor Customer Service: "Incredibly buggy and terrible customer service."

3. Data Access and Integration Limitations

Neel P., Sales Operations Manager, highlights critical operational limitations: "The lack of robust data export options has made it hard to justify the platform's cost, especially as it falls short of meeting practical data management needs. If you're considering switching platforms and have six months or less on your contract, start engaging the Gong API documentation immediately to download all of your call data in a usable format."

Integration Issues are particularly problematic with Gong Engage, which has been criticized for lacking integrations with other tools. "Gong engage has no integrations with most tools (ie Nooks) as they don't have an API."

Implementation Reality Check

Pros Summary:

• Industry-leading conversation intelligence accuracy
• Comprehensive feature set for enterprise revenue operations
• Strong coaching and development capabilities
• Excellent transcription and call recording functionality

Cons Summary:

• Extremely high cost with hidden fees and forced bundling
• Complex user interface creating adoption barriers
• Limited data portability and export capabilities
• Requires significant training and dedicated resources
• Multi-year contract commitments with limited flexibility

Lydia W., Sales Marketing leader, provides balanced perspective: "It's functionality is impressive! Truly the best in class and easier to deploy than other competitors. [However,] asynchronous coaching and giving feedback to reps without them being there to engage in a discussion about it didn't lift rep performance the way we thought it would."

Bottom Line

The evidence suggests that while Gong delivers powerful capabilities, the platform works best for enterprise organizations with dedicated RevOps resources and budgets exceeding $150,000 annually. Teams seeking conversation intelligence without the complexity and cost burden may find better ROI with transparent alternatives designed for broader adoption across GTM functions, including solutions that support effective sales discovery calls and streamlined sales follow-up processes.

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Is Gong worth the investment for small, mid-market, and enterprise teams? [toc=ROI Analysis]

The ROI equation for Gong varies dramatically based on team size, budget allocation, and organizational maturity. Based on our analysis of cost-benefit ratios and user feedback across different market segments, here's a comprehensive assessment of Gong's value proposition.

Small Teams (10-50 Sales Reps): Generally Not Recommended

Cost Reality: Small teams face the highest per-user burden due to Gong's platform fee structure, often paying $175-240 per rep monthly when factoring in the required platform fee.

User Experience: Small business users consistently report cost-benefit misalignment.

‍Elspeth C., Chief Commercial Officer at a small business, acknowledges the product quality while noting support concerns: "Gong's product is second to none and without it, I couldn't do my job properly - it's my most visited tab on Chrome! The wide ranging suite of features and functionalities really help me coach the team and gain great visibility over our pipeline. [However] since we purchased our package, the support model has changed drastically, which is infuriating."

Iris P., Head of Marketing at a mid-market company, reflects the common small team sentiment: "It was a big mistake on our part to commit to a two year term. Gong is a really powerful tool but it's probably the highest end option on the market, and now we're stuck with a tool that works technically but isn't the right business decision. Having talked with other friends who lead revenue functions, all have said the same thing - they've been fine using a lower cost, simpler alternative and have only seen Gong really make sense for more established sales organizations with larger budgets."

Bottom Line: Small teams typically achieve better ROI with alternatives like Oliv.ai ($19/user monthly) or Fireflies.ai ($15-39/user monthly) that provide core conversation intelligence without the enterprise complexity and cost burden. These teams often benefit more from streamlined sales productivity metrics and effective sales goal-setting frameworks rather than comprehensive but complex platforms.

Mid-Market Teams (50-250 Sales Reps): Situational Value

Cost Optimization: Mid-market teams benefit from volume discounts, reducing per-user costs to $120-148 monthly, making the investment more palatable for teams with dedicated revenue operations resources.

Mixed User Sentiment: Mid-market users report both significant benefits and concerning limitations.

‍Scott T., Director of Sales at a mid-market company, highlights transformational impact: "Gong has become the single source of truth for our sales team. From deal management to forecasting it's been really easy to gain adoption across the team. Before Gong we had a lack of visibility across our deals because information was siloed in several places like CRM, Email, Zoom, phone. Now all of this is centralized in one view via the Gong deal boards."

However, Miodrag, Enterprise Account Executive, captures the pricing challenge: "Overall it is a great product. Sadly Gong.io as a leader in its market is not too open to negotiate with smaller companies. The pricing is probably the biggest obstacle and hence we are looking to change."

Success Factors for Mid-Market: Teams with dedicated RevOps personnel, annual budgets exceeding $100,000 for sales technology, and established coaching programs typically achieve positive ROI. Organizations lacking these resources often struggle with adoption and value realization.

Enterprise Teams (250+ Sales Reps): Strong Value Proposition

Cost Efficiency: Enterprise teams achieve the most favorable per-user economics ($113-120 monthly) with significant negotiating leverage for volume discounts and customized implementations.

Comprehensive Feature Utilization: Enterprise users consistently report high satisfaction with Gong's full feature suite.

‍Trafford J., Senior Director of Revenue Enablement, explains the comprehensive value: "As a Series B startup we rely on the intelligence and insights from Gong to understand and scale what's working, and to better understand real risk and opportunity. Full suite for conversation intelligence, forecast accuracy, email outreach."

Coaching Scale: Enterprise teams with structured coaching programs realize significant benefits.

‍Alexis F., Sr Director of Revenue Operations, highlights systematic improvements: "Insight into the actual voice of the customer, product adoption, enablement pathways, decreases the internal meetings around new customer onboarding, increased ramp time for new hires, mitigates churn."

Enterprise Success Indicators: Organizations with dedicated RevOps teams, structured coaching programs, and annual sales technology budgets exceeding $250,000 typically achieve measurable ROI through improved forecast accuracy, reduced ramp times, and enhanced deal visibility.

ROI Calculation Framework

The evidence suggests that while Gong delivers powerful capabilities, the platform's value equation strongly favors enterprise organizations with dedicated resources and substantial budgets. Smaller teams often achieve superior ROI with purpose-built alternatives that prioritize ease of adoption and transparent pricing over comprehensive feature breadth.

How to evaluate if Gong is the right revenue intelligence solution for your organization? [toc=Decision Framework]

Selecting the right revenue intelligence platform requires systematic evaluation across multiple dimensions. Based on our experience analyzing implementations across various team sizes and organizational contexts, here's a comprehensive framework for making an informed decision.

Pre-Evaluation Organizational Assessment

Budget Reality Check

Determine Total Cost of Ownership: Factor in platform fees ($5,000-50,000 annually), per-user licensing ($113-133 monthly), implementation costs ($7,500-15,000), and ongoing training expenses.

‍Neel P., Sales Operations Manager, warns about hidden costs: "The lack of robust data export options has made it hard to justify the platform's cost, especially as it falls short of meeting practical data management needs."

Team Maturity Evaluation

RevOps Capability Assessment: Gong requires dedicated resources for optimization.

‍Annabelle H., Board Director at an enterprise company, notes implementation complexity: "No way to collaborate / share a library of top calls, AI is not great (yet) - the product still feels like its at its infancy and needs to be developed further."

User Adoption Readiness: Consider your team's technical comfort level.

‍John S., Senior Account Executive, reflects common user struggles: "It's too complicated, and not intuitive at all. Using it is very...discomforting. Searching for calls is not easy, moving around in the calls is not easy, and understanding the pipeline management portion of it is almost impossible."

Technical Evaluation Framework

Core Feature Assessment

Data Management Requirements

Critical Consideration: Evaluate data portability needs early. Users report significant challenges with data access and export capabilities, which can create vendor lock-in situations affecting long-term flexibility.

Alternative Evaluation Matrix

Comprehensive Comparison Framework

Decision Framework by Use Case

Choose Gong When:

• Enterprise scale (250+ revenue team members)
• Dedicated RevOps resources for optimization and training
• Budget flexibility for platform fees and multi-year commitments
• Sophisticated coaching programs requiring detailed conversation analysis
• Complex sales cycles benefiting from comprehensive deal intelligence

Consider Alternatives When:

• Cost sensitivity or transparent pricing requirements
• Rapid deployment needs without extensive training
• Smaller teams requiring intuitive, easy-to-adopt solutions
• Flexible contract terms and monthly payment preferences
• Integration simplicity over comprehensive feature breadth

Implementation Success Factors

Critical Success Elements:

1. Executive Sponsorship: Ensure leadership commitment to change management
2. Training Investment: Allocate 2-3 months for team adoption and optimization
3. Data Migration Planning: Understand export limitations before contract signing
4. ROI Measurement: Establish baseline metrics for productivity and coaching effectiveness

Amanda R., Director of Customer Success, shares practical implementation insight: "My favorite aspect of Gong is being able to go into any account and ask what is going on. By asking what the customer said they needed, I can prepare for any meeting, from kickoff to renewal. Gong is helping us solve some of the handoff issues we were having between sales and onboarding."

Final Recommendation Framework

Gong Recommended For: Enterprise organizations with dedicated RevOps teams, structured coaching programs, and annual sales technology budgets exceeding $250,000 who prioritize comprehensive conversation intelligence over cost efficiency.

Alternative Recommended For: Teams prioritizing cost transparency, rapid deployment, user-friendly interfaces, and flexible contract terms who need core conversation intelligence without enterprise complexity. These organizations often benefit from effective sales email strategies and comprehensive CRM integration approaches that support their broader go-to-market strategy.

We recommend conducting pilot programs with 2-3 platforms before making final decisions, as user experience and adoption rates often determine long-term success regardless of feature comprehensiveness. The best revenue intelligence solution is the one your team will actually use consistently to drive measurable improvements in coaching effectiveness, forecast accuracy, and deal velocity. For teams seeking alternatives that emphasize smart sales goal achievement and optimized sales manager workflows, transparent pricing models and intuitive interfaces often deliver superior long-term ROI.

FAQs

Q: Does Gong work for phone calls?

Yes, Gong captures and analyzes phone calls through integrations with VoIP systems, desk phones, and mobile devices. The platform automatically records calls, transcribes conversations, and applies AI analysis to identify key moments, objections, and opportunities. However, setup complexity varies by phone system. Teams prioritizing streamlined sales call planning often find alternatives like Oliv.ai offer simpler phone integration with immediate deployment across multiple communication channels.

Q: How long does Gong keep recordings?

Gong typically retains recordings for 7 years by default, though retention periods can be customized based on enterprise requirements and compliance needs. Storage duration affects pricing, with longer retention increasing costs. Data export limitations make migration challenging if switching platforms. Organizations should establish clear data governance policies before implementation. For teams requiring flexible data management, alternatives offering transparent data portability and meeting summaries may provide better long-term control.

Q: What is the controversy with the gong?

Recent controversies include patent litigation with competitors over conversation intelligence technology and customer complaints about data export limitations creating vendor lock-in situations. Users report frustration with hidden pricing, complex contract terms, and limited API access for data portability. Additionally, some enterprise customers cite concerns about support model changes post-acquisition. These issues highlight the importance of evaluating contract flexibility and data access rights during vendor selection.

Q: What companies use gong?

Gong serves over 4,500 customers including five Fortune 10 companies, with notable users spanning enterprise technology, financial services, and SaaS organizations. Typical customers are mid-market to enterprise companies with 50+ sales representatives and dedicated RevOps teams. However, specific customer names are often confidential due to competitive sensitivity. Organizations considering Gong should request relevant case studies matching their industry and company size during evaluation discussions.

Q: Is Gong like Salesforce?

No, Gong is a specialized revenue intelligence platform that integrates with Salesforce rather than replacing it. While Salesforce manages customer data and sales processes, Gong focuses specifically on conversation analysis and deal insights. Think of Gong as an advanced layer that sits on top of your CRM to provide AI-powered conversation intelligence. Teams seeking unified sales automation tools often prefer solutions that combine CRM functionality with conversation intelligence in a single platform.

Q: Can you download Gong calls?

Yes, but with significant limitations. Gong requires downloading calls individually through their interface or API, making bulk exports impractical for large data volumes. Users report this creates challenges when switching platforms or analyzing data externally. The process requires technical resources and can be time-consuming. Organizations planning platform migrations should begin data extraction early in their contract period. Teams prioritizing data portability often choose alternatives with more flexible export capabilities.

Q: Is Gong HIPAA compliant?

Gong offers HIPAA compliance features for healthcare organizations, including business associate agreements (BAAs), data encryption, and access controls. However, compliance requires proper configuration and additional security measures. Healthcare teams must evaluate specific requirements against Gong's security framework and may need enhanced compliance features. Organizations in regulated industries should conduct thorough security assessments and consider specialized sales productivity tools designed with compliance-first architectures for sensitive data handling.

Q: Can I delete calls from Gong?

Yes, administrators can delete individual calls and bulk recordings through Gong's interface, subject to user permissions and retention policies. However, deletion capabilities vary by subscription level and may require technical support for bulk operations. Some enterprise contracts include immutable storage requirements that prevent deletion. Organizations should establish clear data management protocols and understand deletion limitations before implementation. Teams requiring granular data control often benefit from platforms offering more flexible data governance options.