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Like hiring a CRO that never sleeps.

RevenueRep.ai is the AI assistant your whole revenue team shares. It hears every call, knows your pipeline cold, and answers like an executive who never left the floor — because it never does.

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app.revenuerep.ai

Revenue floor · week of Jun 8

4,812 calls processed · updated 2 min ago

Set rate

26.4%

+2.1 wk

Contact rate

38.9%

+0.4 wk

Decision calls

1,118

this week

Coaching queue

4

2 new

Set rate by day

Mon
Tue
Wed
Thu
Fri
Sat
Sun

Setters · by set rate

decision-call denominator

M. Alvarez31.7%
J. Brooks26.3%
T. Nguyen17.2%

…and 3,138 more calls this week

Why now

Your team had 4,000 conversations last month. You heard maybe six.

Every dial throws off signal: the objection that killed the deal, the rep who quietly figured something out, the lead who said “call me Thursday.” Almost all of it dies inside recordings nobody has time to replay. So the floor runs on gut feel and last month's CRM export.

  • 01Most dials are voicemail. The few real conversations drown in them.
  • 02Set rate divided by raw dials rewards volume and hides your best closers
  • 03Coaching arrives Friday. The deal died Tuesday.
  • 04When the number dips, nobody can say if it's bad leads or bad handling
  • 05A new objection spreads for weeks before it shows up in revenue

Your calls have been trying to tell you something.

The loop

42% → 25%

One rep's callback rate, ten days after Rev caught the leak.

Set rate dips on a Tuesday. Rev flags it that afternoon, proves it with seven calls, queues the coaching, and watches the next ten. Most tools stop at analysis. Rev closes the loop.

01

Detect the leak

Set rate dipped 4 points on Tuesday. Rev flags it the same day, not in next month's report.

02

Prove it with calls

Price objections climbed by a third, unanswered in 7 of 12 decision calls. Quotes, call IDs, and denominators attached.

03

Queue the coaching

Jordan tops the coaching queue, with suggested 1:1 notes and a good-call / bad-call pair to review together.

04

Watch the change

Coached Tuesday. Over the next 8 calls, Jordan isolated the objection 6 times. Callbacks fell from 42% to 25%.

Detect → prove → coach → verify. Knowing whether coaching actually changed behavior is the part everyone else leaves out.

How it works

From raw calls to coaching, in three steps.

No rip-and-replace, no migration project. Point your stack at us and the system does the rest.

  1. 01

    Connect your stack

    Point your dialer, recordings, and CRM at RevenueRep.ai. Everything lands raw and stays raw. When the models get smarter, your whole history gets re-read for free. No re-onboarding, ever.

  2. 02

    Every call becomes intelligence

    Outcomes, objections, sentiment, commitment strength, appointment risk. Pulled from every conversation, with a transcript line to back every field.

  3. 03

    Your team gets a brain that's heard it all

    Scorecards update as the day unfolds. Rev stands by for questions, from the rep who just hung up to the owner checking in at midnight.

Meet Rev

One assistant, for your whole revenue team.

Rev does what a great CRO does: watches the whole funnel and makes everyone on it better. Except Rev has read every call, answers in seconds, and is still at its desk at 2am. Click around — this is the product.

Manager question

Why did set rate drop last week?
Scope: Last 7 daysTeam: Setters

Rev's answer

Evidence: 12 calls

Set rate fell 4.2 points, driven by the Tuesday cohort. Price-related objections rose 31% and went unanswered in 7 of 12 decision calls. Here are the three calls to review first…

Review the 3 callsOpen scorecard

For reps

A debrief after every call: what worked, where it stalled, what to try on the next dial.

For managers

Ask why the number dipped and get the cause, plus the three calls that prove it.

For owners

See above. You get all of it, plus the answer to the only question that matters: where's the money leaking?

Strictly read-only — Rev can analyze everything and change nothing.

Put Rev to work

Don't just ask questions. Give it assignments.

Rev isn't a dashboard you check. It's a teammate you task. Hand it the jobs no human has time for, and it comes back with answers — where your team already lives.

Train on what's real

“Rev, which objections is Jordan struggling with?”

Build this week's training on the objections actually stalling each rep, not a generic script.

Optimize your ad spend

“Rev, what objections does each campaign create — and can my team handle them?”

See which ads start conversations your team wins, and which create objections nobody can answer yet.

Make coaching stick

“Rev, listen to their next 10 calls and let me know if they're implementing what we worked on.”

Assign follow-through. Rev reports back on whether the coaching actually shows up on the phones.

#revenue-floor

Monday, 8:00 AM

Revapp8:00 AM

Morning. Recap for the week of Jun 1:

  • Set rate 26.4% (+2.1). Contact rate flat.
  • Tuesday dipped: price objections climbed and 7 of 12 went unanswered.
  • Jordan and Casey are queued for coaching, notes attached.

3 calls worth hearing before standup →

And whatever you think of next:

“Rev, draft Friday's training from this week's lost deals”“Rev, which leads said “call me after the holidays”? List them for January.”“Rev, what does our top closer say when price comes up?”“Rev, summarize every call where a competitor was mentioned”“Rev, which time slots produce our best decision calls?”“Rev, pull every call where the customer asked for a manager”
“Rev, flag this week's appointments at risk of no-show”“Rev, which ad audiences send us the most disqualified leads?”“Rev, score yesterday's calls for script adherence”“Rev, post a funnel recap to the team every Monday at 8am”“Rev, which reps improved after last month's training?”“Rev, what did Casey say differently on the calls she won?”

Why Rev

Any AI can plug into your tools. Rev actually knows your business.

Plenty of AI agents can connect to your stack. The difference is what happens before the question: RevenueRep.ai has already turned every call into structured, evidence-linked data, so Rev reasons over your whole history instead of whatever fits in a prompt.

A generic AI agent

  • Connects to your tools and skims raw transcripts at question time
  • Reasons over whatever fits in a prompt
  • Confident answers you can't verify
  • Every question starts from scratch

Rev, on the structured data system

  • Every call already extracted into structured, typed, evidence-linked data
  • Trends computed across your entire history, not a sample
  • Every answer cites the calls behind it
  • Cross-checked against your CRM before Rev opens its mouth
  • Your whole history backfilled on day one, not just the calls you make after signing

Same breed of general intelligence underneath. The structured data system is what turns it from a clever chatbot into a CRO.

Platform

A dashboard sales managers actually use.

Forged on hundreds of thousands of real sales calls, and organized around the questions you actually ask on Monday morning.

See which objections cost revenue — and which reps fold

Fold rate by objection. Winning responses pulled from your own closed deals. The objection mix each ad source creates, so marketing hears it too.

Price objections ↑ 22% this weekTrust objections: Morgan closes 61% · Casey 28%Demand Gen leads mention “timing” 2.4× more

Know where the leak is

Lead quality, setter handling, closer performance, or follow-up control? Rev pinpoints the stage and proves it.

LeadsSetters · −4.2ClosersFollow-up

A coaching queue, not a hunch

Suggested 1:1 notes, good-call vs bad-call examples, and quote packs for the team meeting. Mark a rep coached, and Rev watches their next ten calls.

Now · 2This week · 1Watchlist · 1Improved · 1

Scorecards that measure what matters

Set rate measured against real decisions, not raw dials. Setters judged by a setter's yardstick, closers by a closer's.

M. Alvarez31.7%

Extraction packs for your business

Objections and sentiment are universal. The fields your business actually runs on are yours. Define them once and RevenueRep.ai pulls them from every call. No custom build, no waiting on us.

Evidence, not vibes

Call IDs, quotes, denominators, and confidence labels on every claim. AI-read outcomes are cross-checked against your CRM, so when the dashboard says 31% you can click through to why.

calls #18243 #18307 #18311 · confidence: high · denominator: 12 decision calls

Security

Your call data is the asset. We treat it that way.

tenant.isolation = row_level_security

Isolation the database enforces

Row-level security on every table. Your data is walled off by the database itself, not by a promise in the application code.

rev.data_path = read_only

Read-only, by construction

Rev's data path is read-only, enforced at the tool layer. It can analyze every call you've ever made. It cannot change a single one.

raw_events = immutable

Your raw data, preserved forever

Every payload lands immutably before we touch it. Smarter models later mean we re-read your history. We never ask you to upload it again.

The first version of this read 235,274 calls from one sales floor. It kept settling arguments we'd been having for months, usually by proving everyone wrong. The “best” setter had the worst set rate once you stopped counting voicemails. The objection everybody blamed was fourth on the list.

I've run revenue teams. You never really know what happened on the phones; you know what people remember about what happened. Now I just ask. That still feels a little unfair, honestly.

— Charles

Founder, RevenueRep.ai

Your next revenue hire works around the clock.

Bring a week of your own calls to the demo. That's all it takes.

We'll look at your calls together