# Gong - Marketing Research Report

Generated on: April 7, 2026
**Industry:** Marketing
**Website:** https://www.gong.io

## The Takeaway

Gong's moat is conversation data lock-in — every call analyzed becomes proprietary training data that makes the platform smarter and stickier for the next deal.

---

# Company Research

## Company Summary

Gong is a revenue intelligence company that provides an AI-powered platform to analyze customer interactions and improve sales performance [2]

**Founded:** Founded in 2015 [15]

**Founders:** Amit Bendov and Eilon Reshef [15]

**Employees:** Over 1,200 employees as of 2024 [5]

**Headquarters:** San Francisco, California [2]

**Funding:** Raised $584 million across seven funding rounds with a current valuation of $7.25 billion [4]

**Mission:** To enable revenue teams to realize their fullest potential by providing conversational insights and AI-powered revenue intelligence [7]

**Strengths:** The company's strengths rely on the combination of advanced AI conversation analysis, comprehensive revenue intelligence platform, and strong market position in sales technology. [1]

• **Advanced AI Analysis**: Gong provides deeper analysis of call data and conversation intelligence compared to competitors, offering sophisticated AI-powered insights from customer interactions [12]
• **Revenue Intelligence Platform**: The comprehensive platform combines conversation intelligence, deal tracking, forecasting, and pipeline management in a unified system that enables teams to identify early warning signs and align around shared account views [7]
• **Market Leadership**: Commands significant market presence with over 4,000 customers and $332.3 million in revenue, demonstrating proven scalability and market validation in the competitive sales technology space [1]

## Business Model Analysis

### 🚨 Problem

****Sales teams lack visibility into customer interactions and struggle to identify deal risks and opportunities in real-time** [7]**

• Sales managers cannot effectively coach their teams without insights into actual customer conversations [12]
• Revenue teams struggle to forecast accurately due to limited visibility into deal progression and customer sentiment [11]
• Organizations lack systematic analysis of what messaging and approaches work best across their sales organization [10]
• Post-sales teams cannot identify early warning signs of churn or expansion opportunities without conversation intelligence [7]

### 💡 Solution

****Gong provides an AI-powered Revenue Intelligence platform that analyzes customer interactions to optimize sales performance** [7]**

• Conversation intelligence that captures and analyzes sales calls, emails, and meetings using AI to extract insights [2]
• Deal tracking and forecasting capabilities that provide visibility into pipeline health and deal risks [8]
• Sales coaching tools that help managers identify best practices and coach their teams based on actual conversation data [12]
• Post-sales intelligence that enables customer success teams to identify expansion opportunities and churn risks [7]
• Revenue operations analytics that provide insights across the entire revenue lifecycle [15]

### ⭐ Unique Value Proposition

****Gong combines advanced AI conversation analysis with comprehensive revenue intelligence to provide deeper insights than competitors** [11]**

• More advanced AI analysis and forecasting features compared to alternatives like Salesloft and Chorus [11]
• Unified platform approach that eliminates the need for multiple point solutions across the revenue organization [12]
• Focus on post-sales intelligence in addition to pre-sales, providing end-to-end revenue visibility [7]
• Context graphs and AI that provide actionable next steps based on conversational insights [7]

### 👥 Customer Segments

****Gong primarily serves enterprise and mid-market B2B companies with complex sales processes** [14]**

• Enterprise technology companies looking to improve sales performance and revenue predictability [14]
• Mid-market and large B2B organizations across financial services, media, staffing, technology, hospitality, and real estate [15]
• Sales teams, sales managers, and revenue operations professionals in technology, SaaS, and B2B sales industries [16]
• Computer software companies represent 43% of customers, followed by internet (9%) and IT services (9%) [17]
• Organizations with 5-50 employee sales teams seeking conversation intelligence and deal visibility [12]

### 🏢 Existing Alternatives

****Gong competes in the revenue intelligence and sales enablement market against established players** [10]**

• Chorus AI focuses on data sharing and ZoomInfo integration for cross-functional alignment [10]
• Salesloft offers stronger workflow automation and task management with their Rhythm engine [11]
• Clari provides forecasting and pipeline management at $200-250 per user per month [8]
• Jiminny and other conversation intelligence platforms offer similar call analysis capabilities [10]
• Traditional CRM systems like Salesforce that lack advanced conversation intelligence features [12]

### 📊 Key Metrics

****Gong has achieved over $332 million in annual revenue with more than 4,000 customers** [1]**

• Annual revenue of $332.3 million as of 2024, aiming to reach $300 million milestone [1]
• Serves over 4,000 companies globally across various industries [1]
• Company valuation of $7.25 billion based on latest funding round [4]
• 0.72% market share in Sales Performance Management category [17]
• Broke $100 million revenue mark in 2021, showing strong growth trajectory [3]

### 🎯 High-Level Product Concepts

****Gong offers a comprehensive Revenue AI OS with multiple integrated modules** [7]**

• Core conversation intelligence platform that captures and analyzes all customer interactions [2]
• Gong Engage for sales engagement and outreach automation [6]
• Gong Forecast for pipeline forecasting and deal risk assessment [6]
• Deal intelligence that provides visibility into deal progression and outcomes [8]
• Post-sales intelligence for customer success and account expansion [7]
• Revenue operations analytics for strategic insights across the entire revenue organization [15]

### 📢 Channels

****Gong leverages direct sales, digital marketing, and review platforms for customer acquisition** [19]**

• Direct enterprise sales team targeting large B2B organizations [13]
• Content marketing and thought leadership in revenue intelligence space [16]
• G2 and Capterra review platforms for lead generation and social proof [18]
• Partner ecosystem and integrations with existing sales technology stacks [10]
• Industry conferences and events targeting sales and revenue professionals [16]

### 🚀 Early Adopters

****Early adopters were technology and SaaS companies with sophisticated sales processes** [17]**

• Enterprise technology companies seeking to optimize complex B2B sales cycles [14]
• SaaS organizations looking for data-driven sales coaching and performance improvement [16]
• Revenue teams that recognized the value of conversation intelligence before it became mainstream [15]
• Companies with existing sales technology stacks seeking better analytics and insights [12]

### 💰 Fees

****Gong charges approximately $250 per user per month for their platform** [9]**

• Base platform pricing at $250 per user per month for conversation intelligence and deal tracking [8]
• Additional costs for add-on products like Gong Engage and Gong Forecast [6]
• Volume discounts available for larger enterprise deployments [8]
• Implementation and professional services fees may apply for complex deployments [8]
• Total cost can reach $450-500 per user per month when combined with other tools like Clari [8]

### 💵 Revenue

****Gong generates revenue primarily through subscription-based software licensing** [1]**

• Software-as-a-Service (SaaS) subscription model with per-user pricing [9]
• Annual recurring revenue (ARR) from enterprise and mid-market customers [3]
• Additional revenue from premium features and add-on modules like Engage and Forecast [6]
• Professional services and implementation fees for enterprise customers [8]
• Potential revenue from partner integrations and marketplace fees [10]

### 📅 History

****Gong was founded in 2015 and has grown rapidly to become a revenue intelligence leader** [15]**

• 2015: Company founded by Amit Bendov and Eilon Reshef [15]
• 2018: Achieved initial revenue milestone and began scaling operations [3]
• 2021: Broke $100 million annual revenue mark, establishing market leadership [3]
• 2022-2023: Expanded product portfolio with additional revenue intelligence modules [6]
• 2024: Reached $332.3 million in revenue with over 4,000 customers [1]
• 2024: Completed Series E funding round raising $250 million at $7.2 billion valuation [5]

### 🤝 Recent Big Deals

****Gong completed a major $250 million Series E funding round and announced expansion plans** [5]**

• Raised $250 million in Series E funding at $7.2 billion valuation in 2024 [5]
• Announced plans to add 100 new jobs following revenue surge and market expansion [5]
• Expanded product capabilities with enhanced AI features and context graphs [7]
• Strengthened partnerships with major sales technology vendors for deeper integrations [10]

### ℹ️ Other Important Factors

****Gong operates in the rapidly growing revenue intelligence market with strong competitive positioning** [17]**

• Benefits from increasing demand for AI-powered sales technology and conversation intelligence [2]
• Strong customer adoption with seamless implementation process reported by users [19]
• Positioned well for continued growth in the expanding revenue operations market [15]
• Focus on both pre-sales and post-sales intelligence provides competitive differentiation [7]

---

# ICP Analysis

## Ideal Customer Profile

Gong's ideal customers are **enterprise technology companies** with **500+ employees** operating **complex B2B sales processes** that require advanced conversation intelligence. These organizations have **revenue-focused cultures** prioritizing **data-driven sales coaching** and performance optimization, typically spending **$250+ per user monthly** on sales technology.

They operate in **computer software, internet, or IT services industries** with established sales teams seeking **deeper call data analysis** and **coaching insights** beyond basic CRM capabilities. The ideal customer values **seamless implementation**, demonstrates **quick technology adoption**, and has **budget authority** for comprehensive revenue intelligence platforms.

## ICP Identification Framework

| No. | Question | Answer | References |
|-----|----------|--------|------------|
| 1 | Which of our current customers makes the most out of our products and services? Who uses it the most? Who are your best users? | Best customers are **enterprise technology companies** with **sophisticated B2B sales processes** seeking data-driven performance optimization. [14] These organizations typically have **complex sales cycles** requiring conversation intelligence and **advanced AI analysis** for deal visibility. [12] **Computer software companies** represent the largest segment at **43% of customers**, followed by **internet companies at 9%** and **IT services at 9%**. [17] | [14], [12], [17] |
| 2 | What traits do those great customers have in common? | Common traits include **revenue-focused cultures** that prioritize **data-driven sales coaching** and performance improvement. [16] They operate across **financial services, media, staffing, technology, hospitality, and real estate** with established sales teams seeking conversation intelligence. [15] These organizations value **seamless implementation** and have **quick adoption capabilities** for new sales technology platforms. [19] | [16], [15], [19] |
| 3 | Why do some people decide not to buy or stop using our product? | Primary barriers include **cost concerns** at **$250 per user per month** for the base platform, with total costs reaching **$450-500 per user monthly** when combined with other tools. [8] Some organizations prefer **workflow automation and task management** over conversation intelligence, choosing alternatives like Salesloft's Rhythm engine. [11] **Cohort analysis reveals** that customers from certain channels **churn 3x more**, indicating acquisition channel quality impacts retention. [18] | [8], [11], [18] |
| 4 | Who is easiest to sell more to, and why? | Easiest expansion comes from **existing enterprise customers** adding **premium features and add-on modules** like Gong Engage and Gong Forecast. [6] **Mid-market and enterprise organizations** with established sales processes readily expand from conversation intelligence to comprehensive revenue operations analytics. [15] Companies already experiencing **revenue surge** and growth are most likely to invest in additional capabilities. [5] | [6], [15], [5] |
| 5 | What do our competitors' best customers have in common? | Competitor customers often prioritize **workflow automation over conversation intelligence** (Salesloft), **data sharing and ZoomInfo integration** (Chorus AI), or **forecasting-focused solutions** (Clari at $200-250/user/month). [10] [8] Opportunity exists with organizations seeking **deeper call data analysis** and **coaching insights** rather than just pipeline management. [12] Companies needing **both pre-sales and post-sales intelligence** find competitive solutions lacking comprehensive coverage. [7] | [10], [8], [12], [7] |

## Target Segmentation

### 🥇 Primary Enterprise Technology Companies

**Industry:** Computer Software, Internet, IT Services

**Company Size:** 500-5,000 employees

**Key Characteristics:** • **Complex B2B sales cycles**: Organizations with sophisticated sales processes requiring advanced conversation intelligence and deal visibility
• **Revenue-focused culture**: Teams prioritizing data-driven sales coaching and performance optimization with established sales methodologies
• **Technology adoption readiness**: Companies with quick implementation capabilities and proven ability to adopt new sales technology platforms

**Rationale:** Represents 43% of current customers with highest revenue potential at $250+ per user monthly. Proven market fit with seamless adoption.

### 🥈 Secondary Mid-Market Professional Services

**Industry:** Financial Services, Media, Staffing, Real Estate

**Company Size:** 100-500 employees

**Key Characteristics:** • **Established sales teams**: Professional services firms with dedicated sales organizations seeking conversation intelligence insights
• **Industry-specific needs**: Companies in regulated industries requiring compliance-friendly revenue intelligence and customer interaction analysis
• **Growth-oriented**: Organizations experiencing revenue growth and ready to invest in sales technology for competitive advantage

**Rationale:** Strong expansion potential across diverse industries. Growing market segment with increasing demand for AI-powered sales insights.

### 🥉 Tertiary Emerging SaaS Companies

**Industry:** SaaS, Technology Startups

**Company Size:** 50-100 employees

**Key Characteristics:** • **Scaling sales operations**: Early-stage companies transitioning from founder-led sales to structured sales organizations
• **Budget-conscious buyers**: Cost-sensitive organizations evaluating ROI carefully but recognizing need for conversation intelligence
• **High growth trajectory**: Fast-growing companies requiring scalable revenue intelligence solutions to support expansion

**Rationale:** Future enterprise customers with potential for significant expansion. Strategic investment in emerging market leaders.

## Target Personas

### Persona 1: Sarah, VP of Sales Operations at Enterprise SaaS

*Segment: 🥇 Primary*

**Demographics:**

- Name: **Sarah, VP of Sales Operations at Enterprise SaaS**
- Age: **👤 Age**: 35-42
- Job Title: **💼 Job Title/Role**: VP of Sales Operations
- Industry: **🏢 Industry**: Computer Software/SaaS
- Company Size: **👥 Company Size**: 500-2,000 employees
- Education: **🎓 Education Degree**: MBA or Bachelor's in Business
- Location: **📍 Location**: San Francisco Bay Area or Austin
- Years of Experience: **⏱️ Years of Experience**: 10-15 years

**💭 Motivation:**

Sarah needs to **optimize sales performance** across a growing enterprise sales team using data-driven insights. Current CRM systems lack **conversation intelligence** for coaching and deal visibility. **Revenue growth targets** require sophisticated analytics to identify what messaging works best.

**🎯 Goals:**

- Increase sales team quota attainment from 75% to 90% within 12 months
- Implement data-driven coaching program for 50+ sales representatives
- Reduce sales cycle length by 20% through better deal visibility and risk identification

**😤 Pain Points:**

- Cannot effectively coach sales team without visibility into actual customer conversations
- Struggle to forecast accurately due to limited insights into deal progression and buyer sentiment
- Lack systematic analysis of which sales approaches and messaging drive best results

### Persona 2: Michael, Sales Director at Financial Services Firm

*Segment: 🥈 Secondary*

**Demographics:**

- Name: **Michael, Sales Director at Financial Services Firm**
- Age: **👤 Age**: 38-45
- Job Title: **💼 Job Title/Role**: Sales Director
- Industry: **🏢 Industry**: Financial Services
- Company Size: **👥 Company Size**: 200-500 employees
- Education: **🎓 Education Degree**: Bachelor's in Finance or Business
- Location: **📍 Location**: New York or Chicago
- Years of Experience: **⏱️ Years of Experience**: 12-18 years

**💭 Motivation:**

Michael seeks **conversation intelligence** to improve client relationships and **regulatory compliance** in financial services sales. **Complex regulatory environment** requires detailed interaction tracking and analysis. **Competition from fintech** demands more sophisticated sales approaches.

**🎯 Goals:**

- Enhance client relationship management through better conversation insights
- Ensure regulatory compliance with comprehensive call recording and analysis
- Compete effectively against fintech companies using advanced sales technology

**😤 Pain Points:**

- Difficulty tracking compliance requirements across all client interactions
- Limited visibility into what sales approaches work best in regulated environment
- Need better insights to compete with technology-forward financial service providers

### Persona 3: Alex, Head of Sales at Growing SaaS Startup

*Segment: 🥉 Tertiary*

**Demographics:**

- Name: **Alex, Head of Sales at Growing SaaS Startup**
- Age: **👤 Age**: 28-35
- Job Title: **💼 Job Title/Role**: Head of Sales
- Industry: **🏢 Industry**: SaaS Technology
- Company Size: **👥 Company Size**: 50-100 employees
- Education: **🎓 Education Degree**: Bachelor's in Business or Marketing
- Location: **📍 Location**: Austin, Seattle, or Remote
- Years of Experience: **⏱️ Years of Experience**: 6-10 years

**💭 Motivation:**

Alex needs **scalable sales processes** to support rapid company growth and transition from founder-led sales. **Budget constraints** require proving ROI while building **structured sales organization**. **High growth targets** demand systematic approach to sales performance.

**🎯 Goals:**

- Scale sales team from 5 to 15 representatives while maintaining performance quality
- Establish repeatable sales processes and coaching methodologies
- Demonstrate clear ROI on sales technology investments to secure additional budget

**😤 Pain Points:**

- Limited budget for sales technology while needing sophisticated conversation intelligence
- Difficulty establishing consistent sales processes across rapidly growing team
- Lack of historical data and benchmarks for effective sales coaching and optimization

---

# Positioning & Messaging

## Positioning Statement

**Gong** is a **Revenue AI OS** for **enterprise sales and revenue teams** that **delivers unprecedented visibility and control over revenue outcomes** through **advanced conversation intelligence, comprehensive deal tracking, and end-to-end revenue analytics** that drive consistent performance improvement and competitive advantage.

## Positioning Framework

### 1. Needs and Pain Points

What are their customer's needs and pain points around the problem the product is trying to solve?

• Sales managers cannot effectively coach teams without visibility into actual customer conversations, limiting performance optimization [12]
• Revenue teams struggle with accurate forecasting due to limited insights into deal progression and customer sentiment [11]
• Organizations lack systematic analysis of which messaging and sales approaches drive best results across their sales organization [10]
• Post-sales teams cannot identify early warning signs of churn or expansion opportunities without conversation intelligence [7]
• Complex B2B sales cycles require advanced analytics to identify deal risks and opportunities in real-time [14]

### 2. Product Features

What product features will address these needs and solve these pain points?

• AI-powered conversation intelligence that captures and analyzes sales calls, emails, and meetings to extract actionable insights [2]
• Deal tracking and forecasting capabilities providing comprehensive visibility into pipeline health and deal risks [8]
• Sales coaching tools that help managers identify best practices and coach teams based on actual conversation data [12]
• Post-sales intelligence enabling customer success teams to identify expansion opportunities and churn risks [7]
• Revenue operations analytics providing insights across the entire revenue lifecycle with context graphs and AI-driven next steps [7]

### 3. Key Benefits

What are the key benefits (rational and emotional) of those product features?

• Increased quota attainment and sales performance through data-driven coaching and optimization [16]
• Improved forecast accuracy and pipeline visibility reducing revenue uncertainty for leadership teams [11]
• Accelerated sales cycles and better deal closure rates through early risk identification and intervention [7]
• Enhanced customer retention and expansion through proactive post-sales intelligence and account management [7]
• Competitive advantage through deeper conversation insights that competitors cannot match [12]

### 4. Benefit Pillars

Which of those benefits would be categorized as benefit pillars?

🧠 AI-Powered Intelligence, 📈 Revenue Acceleration, 🎯 End-to-End Visibility

### 5. Emotional Benefits

What emotional benefits would the user have when they engage with or use the product?

Core Emotional Promise:
Confidence and control over revenue outcomes through unprecedented visibility into customer interactions and deal dynamics [19]

Supporting Emotions:
• Peace of mind knowing you can identify and address deal risks before they impact revenue [7]
• Empowerment to coach and develop sales teams with concrete, data-driven insights rather than gut feelings [12]
• Pride in achieving consistent revenue growth through systematic optimization of sales performance [1]

### 6. Positioning Statement

What are some positioning statements that could reflect its key benefits, product features, and value?

Gong is a Revenue AI OS for enterprise sales and revenue teams that delivers unprecedented visibility and control over revenue outcomes through advanced conversation intelligence, comprehensive deal tracking, and end-to-end revenue analytics that drive consistent performance improvement and competitive advantage.

### 7. Competitive Differentiation

How do they differentiate from other competitors?

Gong provides the most comprehensive revenue intelligence platform combining advanced AI conversation analysis with end-to-end revenue visibility that competitors cannot match [11]

vs. Salesloft: Gong offers deeper AI analysis and forecasting features while Salesloft focuses on workflow automation and task management [11]
vs. Chorus AI: Gong provides superior conversation intelligence and post-sales coverage while Chorus emphasizes data sharing and ZoomInfo integration [10]
vs. Clari: Gong combines conversation intelligence with forecasting while Clari focuses solely on pipeline management at lower cost [8]

Key Differentiators:
• Advanced AI analysis providing deeper insights from customer conversations than any competitor [12]
• Comprehensive post-sales intelligence extending beyond pre-sales to full customer lifecycle [7]
• Proven scale with $332M revenue and 4,000+ customers demonstrating market leadership [1]

## Messaging Guide

| # | Type | Message | Priority |
|---|------|---------|----------|
| 1 | 🎯 Top-Line Message | Turn every customer conversation into revenue intelligence that drives predictable growth and competitive advantage [7] | Primary |
| 2 | 🧠 AI-Powered Intelligence | Our advanced AI analyzes every customer interaction to reveal what actually drives deals forward, not just what you think works [2] | High |
| 3 | 🧠 AI-Powered Intelligence | Get deeper conversation insights than any competitor with AI that understands context, sentiment, and buyer signals [12] | High |
| 4 | 🧠 AI-Powered Intelligence | Coach your sales team with concrete data from actual customer conversations, not guesswork [12] | Medium |
| 5 | 📈 Revenue Acceleration | Increase quota attainment and accelerate sales cycles by identifying and addressing deal risks before they impact revenue [7] | High |
| 6 | 📈 Revenue Acceleration | Achieve consistent revenue growth with systematic optimization based on what actually works in your sales process [16] | High |
| 7 | 📈 Revenue Acceleration | Proven results with customers achieving $332M revenue and serving 4,000+ companies globally [1] | Medium |
| 8 | 🎯 End-to-End Visibility | See the complete revenue picture from first conversation to customer expansion with unified intelligence [7] | High |
| 9 | 🎯 End-to-End Visibility | Unlike competitors who focus on just pre-sales or post-sales, we provide complete customer lifecycle visibility [7] | High |
| 10 | 🎯 End-to-End Visibility | Seamless implementation and quick adoption so your team can start seeing results immediately [19] | Medium |

---

# References

[1] How Gong hit $332.3M revenue and 4K customers in 2024.
   https://getlatka.com/companies/gong

[2] Gong - Crunchbase Company Profile & Funding
   https://www.crunchbase.com/organization/gong-io

[3] 3 Key Strategies Behind Gong's $285M Annual Recurring Revenue
   https://getlatka.com/blog/gong-revenue/

[4] Gong - 2026 Company Profile, Team, Funding & Competitors - Tracxn
   https://tracxn.com/d/companies/gong/__mjeQDnUWFkOeqhLP0hTeCWKtGTQFGZ2jMcWDrks5qZ8

[5] AI unicorn Gong to add 100 jobs following revenue surge | Ctech
   https://www.calcalistech.com/ctechnews/article/b110gipqee

[6] Gong.io Pricing 2026: Costs vs 4 Revenue Intelligence Alternatives
   https://www.outdoo.ai/blog/gong-io-pricing-vs-4-others

[7] Gong - Revenue AI OS
   https://www.gong.io

[8] Gong Pricing Calculator & Guide: Per-User Costs, Platform Fees, Implementation & Volume Discounts
   https://www.oliv.ai/blog/gong-io-pricing

[9] What is Gong Platform? Features, Use Cases, Pricing & Alternatives
   https://www.oliv.ai/blog/gong-features

[10] Top 6 Gong competitors: Find the right fit for your team
   https://jiminny.com/blog/gong-competitors

[11] 7 Best Alternatives For Gong — 2026
   https://genesysgrowth.com/blog/best-alternatives-for-gong

[12] Article | The 12 Best Salesloft Alternatives & Competitors
   https://www.revenue.io/blog/the-12-best-salesloft-alternatives-competitors

[13] Mid-Market Sales Strategies (Hint: They're Not Like Enterprise) — Gilroy Associates
   https://www.gilroyassociates.com/thought-leadership/understanding-the-mid-market-how-to-approach-this-valuable-segment

[14] What is Customer Demographics and Target Market of Gong Company? – CanvasBusinessModel.com
   https://canvasbusinessmodel.com/blogs/target-market/gong-target-market

[15] Report: Gong Business Breakdown & Founding Story | Contrary Research
   https://research.contrary.com/company/gong

[16] What is Sales and Marketing Strategy of Gong Company? – CanvasBusinessModel.com
   https://canvasbusinessmodel.com/blogs/marketing-strategy/gong-marketing-strategy

[17] Gong commands 0.72% market share in Sales Performance Management (SPM)
   https://enlyft.com/tech/products/gong

[18] r/SaaS on Reddit: Focused on G2 and Capterra for 6 months. 47 reviews. 23 customers. $41K in new ARR.
   https://www.reddit.com/r/SaaS/comments/1pisyig/focused_on_g2_and_capterra_for_6_months_47/

[19] Gong.io Reviews 2026. Verified Reviews, Pros & Cons | Capterra
   https://www.capterra.com/p/157969/Gong-io/reviews/

[20] How to collect more quality customer evidence
   https://userevidence.com/blog/the-best-ways-to-collect-customer-evidence/