Save Deals Before They’re Lost
RevenueMind analyzes sales manager calls, detects lost leads, identifies communication mistakes, and shows which deals can still be recovered.
- 100% of calls analyzed
- Every manager scored
- Lost deals recovered
AI Recommendation
Contact the client today
The impact teams see with RevenueMind
of calls analyzed — sampling is over
conversion recovered from saved deals
fewer leads lost after the first call
faster onboarding for new managers
saved weekly per manager on manual review
minutes analyzed from your first month
Average results reported by sales teams in their first quarter with RevenueMind.
Businesses don’t lose deals only because of price. Very often, sales managers lose them.
A client called, but the manager didn’t ask the right question. The lead was warm, but the manager failed to close it. The client asked for a callback, but no follow-up was made. An objection was raised, but the manager didn’t handle it. RevenueMind detects these situations automatically.
The manager doesn’t follow the sales script
The manager doesn’t identify the customer’s need
The manager fails to handle objections
The customer doesn’t receive a clear next step
Leads are lost after the first call
Management can’t see the real reasons for lost deals
Sales training is based on assumptions
Reports are prepared manually
The AI agent analyzes every call and shows where revenue is being lost
RevenueMind listens to call recordings, transcribes conversations, checks them against a sales checklist, and generates clear reports for management.
Call Analysis
AI analyzes recorded sales calls.
Checklist Evaluation
The system compares each call with predefined criteria.
Manager Scoring
Each call receives a quality score.
Lost Lead Detection
AI detects clients that can still be recovered.
Manager Training
The system highlights mistakes and growth areas.
Summary Tables
Reports are generated for each manager and each call.
AI Recommendations
The system suggests the next best action.
Follow-up Control
AI checks whether a follow-up was completed.
From raw call to recovered deal in six steps
Upload or Connect Calls
The system receives call recordings from telephony, CRM, or uploaded audio files.
Call Transcription
AI converts the call into text and identifies key meanings and sales signals.
Checklist Evaluation
The call is evaluated against greeting, needs discovery, presentation, objection handling, next step, follow-up, and closing.
Manager Evaluation
The system assigns a score and shows the manager’s strengths and weaknesses.
Summary Analytics
Reports are generated per manager, call, and lead — by loss reason, processing quality, and deal risk.
AI Recommendations
The system shows what action should be taken to recover the deal.
Use cases for solving missed-call and lost-lead problems
Lost Lead After the First Call
Problem
The client showed interest, but the manager didn’t follow up.
What RevenueMind does
AI detects the call, identifies the missing follow-up, and adds the deal to the recovery list.
Result
The manager sees which leads can still be recovered.
Manager Failed to Handle an Objection
Problem
The client said “too expensive”, but the manager didn’t explain the value of the product.
What RevenueMind does
AI detects the unhandled objection and shows the mistake in the call card.
Result
The manager receives a recommendation, and the team lead sees recurring problems.
Sales Script Was Not Followed
Problem
Managers handle calls differently, and management can’t properly evaluate communication quality.
What RevenueMind does
AI checks every call against a checklist and generates a score.
Result
The company gets a transparent sales quality control system.
Weak Manager Training
Problem
The head of sales doesn’t know what exactly the team needs to improve.
What RevenueMind does
The system collects repeated mistakes, best practices, and growth areas for each manager.
Result
Training becomes targeted and based on real calls.
Real problems we’ve solved, by industry
Ad leads went cold — managers called back too late or not at all.
RevenueMind flagged every missing or delayed callback within minutes.
Test-drive requests slipped through without an agreed next step.
AI detected calls that ended with no action and queued them for recovery.
Reception missed booking intent and inquiries were quietly lost.
Every call was scored against a booking checklist, exposing weak handovers.
Warm buyers dropped off after the first viewing call with no follow-up.
RevenueMind built a recovery list of every lead left without a next step.
Objections on complex discovery calls went unhandled.
AI surfaced recurring objections and the responses that won deals.
QA covered only a fraction of agents, and only manually.
RevenueMind auto-scored 100% of calls against the script.
Summary tables for every manager and every call
RevenueMind generates reports that help management quickly understand the quality of sales-team performance.
By Manager
| Manager | Calls | Avg Score | Lost Leads | Follow-up | Top Mistake | Recommendation |
|---|---|---|---|---|---|---|
| Manager 1 | 120 | 82% | 7 | 91% | Objections | Train on price handling |
| Manager 2 | 98 | 67% | 14 | 58% | No follow-up | Control repeated contacts |
By Call
| Call | Client | Manager | Score | Risk | Reason | Next Action |
|---|---|---|---|---|---|---|
| #1024 | Client A | Manager 1 | 74% | High | No next step | Call back today |
| #1025 | Client B | Manager 2 | 59% | Critical | Objection not handled | Send value arguments |
Train managers based on real calls
RevenueMind shows real call fragments where a sales manager lost the client, failed to close the deal, or didn’t follow the script.
Personal recommendations for each manager
Weak-point analysis
Repeated-mistake detection
Comparison between strong and weak managers
Best-call library
Automatic training-topic generation
Simple plans to start, flexible terms to scale
Simple plans for getting started and flexible terms for larger teams.
Start
Best for: Small sales teams
4,000 minutes / month
- Up to 4,000 minutes of call analysis
- Checklist-based evaluation
- Manager scoring
- Call reports
- Basic AI recommendations
- Multilingual interface
Growth
Best for: Growing sales teams
10,000 minutes / month
- Up to 10,000 minutes
- Everything in Start
- Per-manager analytics
- Follow-up control
- Priority support
Pro
Best for: Active call centers
25,000 minutes / month
- Up to 25,000 minutes
- Everything in Growth
- Custom checklists
- Best-call library
- API & webhooks
Enterprise
Best for: Large companies
custom minutes / month
- Custom minute volume
- Dedicated onboarding
- CRM & telephony integrations
- SLA & security review
- Individual pricing
Need more? Enterprise plans are calculated individually for large companies and call centers.
Connects to your telephony and CRM
RevenueMind plugs into the tools your sales team already uses.
Frequently asked questions
AI transcribes the call, identifies key meanings, and evaluates the conversation against a checklist.
Yes. Checklists are configurable according to your business, sales script, and sales-department requirements.
Russian, English, Arabic, and French.
The minimum plan starts from $200 for 4,000 minutes.
Yes. The enterprise plan is calculated individually.
Yes. The system generates reports for each manager and each call.
Stop losing deals your team can still save
RevenueMind detects missed calls, identifies sales manager mistakes, and helps recover leads that can still be converted into revenue.
Request a demo
See how RevenueMind recovers lost calls and deals for a team like yours.
- 100% of calls analyzed
- Every manager scored
- Lost deals recovered