Smarter sales training with conversation intelligence

Turn real conversations into scalable training. Use AI to reinforce skills, align messaging, and keep your team sharp in a fast-moving market.

sales training

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The problem with traditional sales training

Traditional sales training often falls flat. Misaligned content, low engagement, and poor reinforcement lead to wasted time, confused reps, and missed revenue goals.

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Inconsistent training across teams

Without a unified approach, teams get different content, tools, and coaching causing misalignment and uneven performance across the org.

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Training eats into selling time

Training sessions cut into valuable prospecting and deal time, hurting pipeline momentum and quota attainment.

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Low engagement in sales training programs

Reps tune out uninspiring content and see training as a checkbox task, leading to low adoption and retention.

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Reps forget training fast without reinforcement

Without follow-up coaching or practice, reps quickly revert to bad habits, wasting training investments.

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Generic sales training doesn’t fit every rep

One-size-fits-all training fails to meet reps where they are. Top performers disengage, newbies stay confused.

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Hard to measure sales training impact

Sales leaders struggle to prove ROI from training efforts, what's working, what’s not, and how it ties to revenue.

AI-powered conversation intelligence to train at the speed of sales

Reinforce skills, align messaging, and upskill reps using real sales conversations. Keep training aligned with market shifts, not outdated playbooks, so you can lead with confidence and clarity.

Build a unified training foundation

Real-time pipeline analytics

Implement automated call recording and transcription across all teams. This ensures every rep learns from the same set of real conversations, not scattered notes or varying manager styles.

Build a unified training foundation
Build a unified training foundation
Reinforce learning with a call library

Real-time pipeline analytics

Create playlists of successful sales calls categorized by scenario: discovery, objection handling, negotiation. Share them in weekly syncs or during onboarding for continuous reinforcement.

Reinforce learning with a call library
Reinforce learning with a call library
Track rep progress with AI-driven insights

Real-time pipeline analytics

Use AI scoring and conversation analytics to assess rep performance over time. Tie improvements in talk tracks or behaviors directly to quota progress.

Track rep progress with AI-driven insights
Track rep progress with AI-driven insights
Tailor coaching based on rep behaviors

Real-time pipeline analytics

Analyze each rep’s talk-to-listen ratio, filler words, and topic coverage. Use this data to offer coaching that’s personalized, not one-size-fits-all.

Tailor coaching based on rep behaviors
Tailor coaching based on rep behaviors
Upskill reps without slowing them down

Real-time pipeline analytics

Equip reps with live support tools like answer cards and templates during calls. Help them prep instantly with proven agendas and note-taking prompts so they learn while selling, not after.

Upskill reps without slowing them down
Upskill reps without slowing them down
Make training real, relevant, and rep-driven

Real-time pipeline analytics

Boost engagement by using real call snippets, peer-led insights, rep bookmarks, and gamified challenges like “call of the week” to make training relevant, interactive, and self-driven.

Make training real, relevant, and rep-driven
Make training real, relevant, and rep-driven

The results speak for themselves, so do our customers.

Frequently asked questions

Everything you need to know about enhancing sales training with Avoma

How does Avoma improve sales training?

Avoma improves sales training by providing a library of real conversation examples from your top performers New reps can learn from successful calls, managers can create targeted training modules based on actual performance data, and the platform identifies specific skill gaps through conversation analysis This creates a continuous improvement loop where training is personalized, practical, and based on what actually works with your customers

Can Avoma track training effectiveness?

Yes, Avoma tracks training effectiveness by measuring changes in conversation behaviors before and after training initiatives The platform provides metrics on talk patterns, question quality, objection handling success rates, and other key indicators that demonstrate whether training concepts are being applied in real customer conversations This creates a data-driven feedback loop to refine training programs and ensure they deliver measurable performance improvements

Is Avoma suitable for onboarding new hires?

Yes, Avoma is particularly valuable for onboarding new hires The platform provides new team members with a library of successful call examples, guidance on effective talk tracks, and automated support for note-taking while they learn This accelerates ramp time by showing rather than telling what works with customers, providing real-world training material specific to your company's actual sales conversations

How does Avoma personalize training?

Avoma personalizes training by identifying each rep's specific development areas based on their actual conversations The platform analyzes individual performance across metrics like question quality, talk-to-listen ratio, and objection handling success, then recommends focused improvement areas Managers can create custom training modules using real call examples that address each rep's unique challenges, resulting in more targeted and effective skill development

Can I use Avoma to coach remotely distributed teams?

Absolutely. Avoma enables async coaching through annotated call reviews, comments, and AI summaries, which is perfect for remote or hybrid sales teams.

How does Avoma support ongoing sales enablement?

By continuously capturing and analyzing calls, Avoma ensures that training remains aligned with live market conversations. This makes sure reps are always learning from the latest real-world scenarios.

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