
Gong vs. Avoma
Reliability or affordability?
Gong is powerful but costly and complex. Avoma is affordable but unreliable. Oliv delivers Gong-level intelligence at Avoma-level cost—with AI agents that automate sales workflows and manage your CRM end-to-end.
Gong vs Avoma vs Oliv: Detailed Comparison
- Built for call capture and analytics
- Built for call capture
- Reliability issues like late bot joins, missed recordings, and incomplete transcripts
- Role-based AI agents that act on data, not just surface insights
- Reliable transcription and analytics, 30–40 minutes processing delay
- Real-time, but low accuracy. No contextual understanding, misses speaker attribution and misquotes
- AI summaries and notes with methodology awareness, Tracks next steps, and stakeholder journeys
- Activity-based deal view – meetings, calls or emails
- Lacks true understanding, resulting in fragmented insights
- No deal risk or churn alerts
- Limited deal visibility
- Combines signals from calls, emails, meetings and CRM to give a unified, real-time view of your deal
- Function based agents provides templates; actions triggered manually
- AI assists with notes and summaries only. No workflow execution
- AI agents execute end-to-end workflows without manual intervention (create forecast, surface risks, prep meetings)
- Manual mapping required, one-directional sync
- Field-level integration only. Sync errors and incomplete updates reported
- Automatically updates CRM with core, custom and qualification fields, bi-directional sync
- Forecast add-on available, depends on consistent rep updates
- Uses deal health scores and manual submissions. No predictive forecasting
- Creates accurate forecast reports based on live deal progress
- Proven templates and trackers for coaching
- Manual template setup
- Highlights call moments and provides basic scorecards only
- Scores every call and meeting, identifies gaps and builds tailored plans
- Recommends coaching next steps
- Slower processing and heavier admin load
- Lightweight UI but reliability issues impact daily use
- Works out-of-the-box, no training required and zero admin-overhead
- Typically requires full data integration and admin setup
- Users report technical setup issues
- AI-native setup with minimal dependencies
Pricing
Platform Fee
Platform Architecture
- Built for call capture and analytics
Conversation Intelligence
- Reliable transcription and analytics, 30–40 minutes processing delay
Deal Intelligence
- Activity-based deal view – meetings, calls or emails
- Lacks true understanding, resulting in fragmented insights
AI Agents
- Function based agents provides templates; actions triggered manually
CRM Automation
- Manual mapping required, one-directional sync
Forecasting
- Forecast add-on available, depends on consistent rep updates
Coaching
- Proven templates and trackers for coaching
- Manual template setup
User Experience & Adoption
- Slower processing and heavier admin load
Implementation Time
- Typically requires full data integration and admin setup
Pricing
Platform Fee
Platform Architecture
- Built for call capture
- Reliability issues like late bot joins, missed recordings, and incomplete transcripts
Conversation Intelligence
- Real-time, but low accuracy. No contextual understanding, misses speaker attribution and misquotes
Deal Intelligence
- No deal risk or churn alerts
- Limited deal visibility
AI Agents
- AI assists with notes and summaries only. No workflow execution
CRM Automation
- Field-level integration only. Sync errors and incomplete updates reported
Forecasting
- Uses deal health scores and manual submissions. No predictive forecasting
Coaching
- Highlights call moments and provides basic scorecards only
User Experience & Adoption
- Lightweight UI but reliability issues impact daily use
Implementation Time
- Users report technical setup issues
Pricing
Platform Fee
Platform Architecture
- Role-based AI agents that act on data, not just surface insights
Conversation Intelligence
- AI summaries and notes with methodology awareness, Tracks next steps, and stakeholder journeys
Deal Intelligence
- Combines signals from calls, emails, meetings and CRM to give a unified, real-time view of your deal
AI Agents
- AI agents execute end-to-end workflows without manual intervention (create forecast, surface risks, prep meetings)
CRM Automation
- Automatically updates CRM with core, custom and qualification fields, bi-directional sync
Forecasting
- Creates accurate forecast reports based on live deal progress
Coaching
- Scores every call and meeting, identifies gaps and builds tailored plans
- Recommends coaching next steps
User Experience & Adoption
- Works out-of-the-box, no training required and zero admin-overhead
Implementation Time
- AI-native setup with minimal dependencies
Teams move from Gong to Avoma to cut costs — but run into new problems: missed or partial recordings, unreliable transcripts, and AI bot that drops off mid-call.
And eventually move again to Oliv — delivering reliability, affordability, plus agentic workflows with complete automation.
Compare your yearly platform spend
Oliv’s buying journey is simple, transparent, and hassle-free
First Call Experience
Book a 7-minute call and connect directly with our founder for a live walkthrough of the product, tailored to your use case.
Product Evaluation
We offer a sandbox environment with real UI and sample data – test everything before you commit.
Pricing Transparency
Clear, flexible, upfront pricing. Pay only for what you use. No platform fees or hidden charges.
Contract & Commitment
Both, monthly and annual plans are available. Upgrade, downgrade, or cancel anytime.
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It's time to switch to Oliv. Choose better Revenue Intelligence at $0.
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