Attention

AI that listens to every sales call, writes the follow-up email, updates your CRM, and coaches the rep — all before they hang up.

Attention Review: The AI Sales Platform That Converts Conversations Into CRM Data, Coaching, and Follow-Ups Automatically

Sales reps spend up to 30% of their time on administrative tasks that do not directly generate revenue — updating CRM after calls, writing follow-up emails, scheduling next steps, and filling out deal fields. Attention was built to eliminate this overhead entirely. It records and transcribes every sales conversation, then uses AI agents to handle the post-call work automatically — updating CRM fields, drafting personalised follow-up emails, creating next-step tasks, and generating coaching scorecards — so reps can move to the next conversation without spending 20 to 30 minutes on administration.

Quick Summary

Attention is an AI sales coaching and automation platform that records and transcribes sales calls, automatically updates CRM fields in Salesforce and HubSpot, generates personalised follow-up emails, provides real-time coaching during calls, creates coaching scorecards from top performer conversation patterns, and integrates with 200 plus GTM tools — with a 4.6 rating on G2, SOC 2 Type II, HIPAA, and GDPR compliance, and enterprise pricing from approximately $25,000 to $200,000 plus per year.

Is it worth using? Yes for B2B sales teams with high call volumes who want AI to handle post-call CRM updates and follow-up drafting automatically, and sales managers who want data-driven coaching from conversation patterns without manually reviewing recordings.
Who should use it? Sales leaders, account executives, SDRs, and revenue operations managers at B2B companies running outbound and inbound call-based sales processes who want to reduce administrative overhead and improve coaching consistency.
Who should avoid it? Sales teams with very low call volume where the platform investment does not justify the overhead reduction, or teams whose sales process is primarily email-based and asynchronous rather than call-intensive.

Verdict Summary

Best for

High-velocity B2B sales teams where reps conduct 5 to 15 calls per day and the 20 to 30 minutes of post-call administration per call represents meaningful time that Attention eliminates — the time savings compound dramatically at high call volumes
Sales managers who want AI coaching scorecards from every conversation rather than manually reviewing recordings to identify coaching opportunities — Attention surfaces patterns from top performer calls that apply to the full team without manager listening time
Revenue operations leaders who want clean, complete CRM data as a byproduct of normal sales activity rather than a separate data quality programme that reps do not comply with consistently

Not for

Small sales teams of fewer than 5 reps where the enterprise pricing of $25,000 plus per year represents a disproportionate investment relative to the administrative time saved
Email-first or async-first sales teams whose primary workflow is written communication rather than calls — the core value proposition of call analysis and auto-CRM update does not apply to non-call-based sales
Teams who want Attention as a standalone tool without Salesforce or HubSpot — the CRM automation value requires a connected CRM to write the captured data into

Rating
⭐⭐⭐⭐ 4.2 / 5

What Is Attention?

Attention is an AI sales automation platform that starts from a simple premise — the information captured in sales conversations is more valuable than what reps actually enter into the CRM. Calls contain the prospect’s expressed pain points, buying timeline, decision-making process, objections, and competitive context — but most of that information is lost to the CRM because reps either do not have time to enter it or enter it selectively and inconsistently. Attention captures all of it automatically and uses AI agents to distribute it to the right place — the CRM for deal tracking, the rep for follow-up, and the manager for coaching.

The platform integrates with over 200 GTM tools — video conferencing platforms including Zoom, Google Meet, and Microsoft Teams, CRMs including Salesforce and HubSpot, sales engagement tools, and communication platforms — making it a layer that sits on top of the existing sales technology stack without requiring reps to change how they work.

How Attention Works

Record and transcribe every conversation. Attention connects to the rep’s calendar and automatically joins and records sales calls on Zoom, Google Meet, Microsoft Teams, and other video conferencing platforms. Transcription happens in real time during the call.
AI agents handle post-call work automatically. When the call ends, Attention’s AI agents extract the relevant information — deal stage signals, next steps, pain points, objections, timeline, and decision-making process — and write it to the correct CRM fields without rep involvement.
Generate personalised follow-up emails. Attention drafts a personalised follow-up email reflecting the specific conversation — referencing the topics discussed, the next steps agreed, and the prospect’s expressed concerns — ready for the rep to review and send in seconds rather than draft from scratch.
Provide real-time coaching during calls. During live calls, Attention’s AI surfaces relevant talk tracks, competitor responses, and objection handling suggestions as the conversation progresses — accessible through a browser overlay that does not interrupt the call.
Create coaching scorecards from conversations. Managers receive AI-generated scorecards for each call — assessing the rep’s performance against configured coaching frameworks including discovery question quality, objection handling, next step commitment, and competitive positioning.
Surface patterns from top performers. Attention analyses conversations across the team to identify the patterns in top performer calls — specific question sequences, objection responses, and talk-to-listen ratios — that can be coached to the broader team.

Key Features

Automatic call recording and transcription across Zoom, Google Meet, Microsoft Teams, and other platforms
AI CRM update — automatically writes deal information, next steps, and field values to Salesforce and HubSpot after every call
Personalised follow-up email generation from conversation content — ready for rep review and send
Real-time coaching during calls with relevant talk tracks, objection responses, and competitive intelligence
AI coaching scorecards from conversation analysis against configured frameworks
Top performer pattern identification — surfaces the conversation patterns that drive top performance for team-wide coaching
200 plus GTM tool integrations — CRM, video conferencing, sales engagement, and communication platforms
Revenue team analytics — conversation quality, deal signal trends, and coaching compliance tracking
SOC 2 Type II, HIPAA, and GDPR compliant
4.6 rating on G2

Real-World Use Cases

Post-call CRM automation: A sales team of 20 reps each conduct 8 calls per day — CRM compliance is below 60% because reps skip updates when running back-to-back calls. After deploying Attention, CRM completion reaches 95% immediately because the AI writes the updates automatically after every call without rep involvement. The revenue operations team has clean, consistent deal data for the first time.
Follow-up email automation: A rep finishes a discovery call and has three back-to-back meetings. Attention generates a personalised follow-up email reflecting the specific discussion — the prospect’s stated pain points, the product capabilities that address them, and the agreed next steps — in the rep’s writing style. The rep reviews and sends in 90 seconds rather than spending 15 minutes drafting after their meetings end.
Manager coaching efficiency: A sales manager is responsible for coaching 12 reps but can only listen to 2 to 3 calls per week. Attention generates coaching scorecards for every call automatically — the manager reviews scorecards for all 12 reps weekly, identifying specific coaching targets for each rep from the AI analysis rather than relying on the 2 to 3 calls they could personally review.
Onboarding acceleration: A company onboards four new sales reps who need to learn effective discovery and objection handling. Attention identifies the top 20 calls from their best-performing reps, creates a library of conversation patterns and talk tracks from these calls, and uses the patterns to coach new reps during live calls — compressing onboarding time from 3 months to 6 weeks.

Pros and Cons

Pros	Cons
Automatic CRM updates after every call eliminate the compliance problem that makes CRM data consistently incomplete across most sales teams	Enterprise-only pricing from $25,000 to $200,000 plus per year — no published self-serve pricing or trial access for evaluation
Personalised follow-up email generation saves 15 to 20 minutes per call — meaningful time recovery at scale across high-volume sales teams	Real-time coaching overlay requires rep discipline to check during calls without it becoming a distraction
Coaching scorecards from every conversation give managers coverage across the full team rather than the small sample they can personally review	Value scales with call volume — low-volume sales teams do not generate the time savings that justify the enterprise investment
200 plus integration depth covers the full GTM stack without custom development	Requires CRM integration to deliver the CRM automation that is the core value proposition — standalone deployment delivers less value
SOC 2 Type II, HIPAA, and GDPR compliance covers sensitive healthcare and financial services sales environments	Enterprise contracts from $25K to $200K+ require a full sales process before pricing is available — no self-serve evaluation path

Pricing & Plans

Attention uses enterprise pricing. Published tiers available from some sources:

Starter — approximately $59/user/month for call recording, transcription, and basic AI coaching
Professional — approximately $149/user/month for advanced coaching and analytics
Enterprise — approximately $399/user/month for fully customisable AI agents and premium support

Reported enterprise contract values from approximately $25,000 to $200,000 plus per year based on team size and usage. Contact attention.com for current pricing.

Best Alternatives & Comparisons

Gong — Better for the most comprehensive revenue intelligence and deal inspection alongside conversation analysis — larger team scale and established enterprise track record
tl;dv — Better for accessible meeting recording and AI summaries at significantly lower pricing with 5,000 plus integrations
Chorus by ZoomInfo — Direct competitor with comparable conversation intelligence and CRM automation features
Clari — Better for revenue operations forecasting and pipeline management alongside conversation intelligence

Frequently Asked Questions (FAQ)

What is Attention?

Attention is an AI sales coaching platform that records and transcribes sales calls, automatically updates CRM fields, generates personalised follow-up emails, provides real-time coaching, and creates coaching scorecards — saving sales reps 20 to 30 minutes per call.

How much does Attention cost?

Attention does not publish list pricing publicly. Reported tiers range from approximately $59/user/month for Starter to $399/user/month for Enterprise. Enterprise contracts typically range from $25,000 to $200,000 plus per year. Contact attention.com for current pricing.

Does Attention automatically update Salesforce and HubSpot?

Yes — Attention’s AI agents extract deal information, next steps, and field values from call transcripts and automatically write them to the correct Salesforce and HubSpot fields after every call, without rep involvement.

How does Attention's real-time coaching work?

During live calls, Attention’s AI surfaces relevant talk tracks, objection responses, and competitive intelligence through a browser overlay that the rep can access without interrupting the conversation — providing in-the-moment coaching based on what is being discussed.

Is Attention suitable for small sales teams?

Attention’s value scales with call volume — teams of 5 to 10 reps may find the administrative time savings meaningful but the enterprise pricing challenging. Teams should model their specific call volume and per-call time savings before evaluating whether the investment makes sense at their scale.

How does Attention compare to Gong?

Attention focuses on AI automation of post-call work — CRM updates, follow-up emails, and coaching scorecards — with real-time coaching as a differentiator. Gong is the more established enterprise revenue intelligence platform with deeper deal inspection, revenue forecasting, and the largest conversation analytics dataset. Attention for teams prioritising post-call automation and real-time coaching. Gong for teams wanting the most comprehensive revenue intelligence and pipeline visibility.

Final Recommendation

Attention is the most automated AI sales platform for B2B sales teams whose administrative burden — CRM updates, follow-up emails, coaching — is consuming time that should go to selling. The automatic CRM update, personalised follow-up generation, and AI coaching scorecard capabilities address the three most consistent time thieves in a sales rep’s day without requiring any change to how they conduct calls. For any sales leader whose CRM data is consistently incomplete, whose reps are writing follow-ups instead of selling, or whose coaching coverage is limited by the calls they can personally review, Attention provides the AI automation that makes all three of those problems smaller immediately.

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