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Rampfy for SaaS

Between the form and the demo
you lose half your pipeline

The lead raised a hand and waited. The AI SDR answers within the minute, qualifies against your ICP and books the demo straight into the Closer's calendar. Leads that aren't a fit don't take up the team's time.

Book a demo See the AI qualifying

Integrates with your website, your product and your calendar

Demo booked 4 min after the form
Outside ICP · sent back to nurturing
SaaS teams already using it
One pain, several points of view

The pipeline doesn't die at the demo.
It dies before it.

The same lost deal has four different explanations inside the team. Rampfy solves all four in one place.

SDR and Closer

Sales rep

“I join the call knowing nothing about the lead”

Spends the day qualifying leads that were never a fit

The AI SDR makes the first cut against the ICP and hands over only the leads that meet the criteria.

Gets the deal with no context at all

The briefing arrives ready: stated pain, stack, team size and decision timing.

Loses the lead in the scheduling back-and-forth

The AI books straight into the Closer's calendar, with a confirmation and a reminder before the call.

A deal stalls and no one notices

The Copilot flags when a good deal goes untouched and suggests how to pick it back up, with the decision-maker who was left out.

Head of Sales and RevOps

Manager

“The forecast is a collective fiction”

Forecast based on the team's optimism

Stage moved by what happened in the conversation, not by what the Closer thinks will happen.

Dirty, outdated pipeline

Automatic hygiene: deals with no activity are flagged before they turn into a false forecast.

Meeting with the sales rep, with no evidence

Agenda generated from the week's conversations and deal milestones.

Doesn't know why one Closer converts more

Stage-by-stage comparison: response time, show-rate and stage progression.

Demand Gen

Marketing

“I deliver MQLs and sales says they're bad”

Doesn't know which campaign turned into revenue

Funnel by channel and campaign: MQL, SQL, demo, closed-won and revenue.

Optimizes for lead volume

Cost per SQL and per closed customer, not cost per form fill.

Ad platforms learn from the wrong lead

Offline conversion sent back to Google and Meta with the closed deal.

A trial that doesn't activate drops off the radar

The AI re-engages those who stalled in onboarding and sends the signal back to the team.

Founder and CRO

Leadership

“Revenue depends on just a few people”

Doesn't know if the problem is product, price or execution

Every step of the cycle becomes a number: where the lead disappears, where the deal stalls and where the team loses to the competitor.

CAC goes up and no one can explain it

Revenue by channel and by campaign, from click to signed contract.

Revenue depends on two or three people

What the best Closer does becomes a visible process — and one the rest of the team can be trained on.

Decides in the dark between hiring and improving

Real capacity per person and bottleneck per stage, before opening a position.

How it works

From form to closed-won, with the team only on what matters

1

The lead raises a hand

Form, demo request, trial or content. It enters the pipeline with campaign and source.

2

The AI SDR qualifies against the ICP

Team size, stack, pain and timing — within the next minute, on the channel they came in through.

3

Leads that fit go on the calendar

Demo booked straight into the AE's calendar, with automatic confirmation.

4

The Copilot drives the cycle

Suggested next step, stalled-deal alerts and re-engagement of stuck trials.

5

The head of sales sees the real forecast

Clean pipeline, metrics by channel and a meeting agenda backed by evidence.

AI SDR · on inbound

Qualified against your ICP
before the team wakes up

You define what a good lead is. The AI asks, understands the answer and decides: books the demo, sends the lead back to nurturing or marks it as out of profile — with the reason on record.

  • ✓Answers in seconds on WhatsApp, on the channel the lead came in through
  • ✓Qualifies by size, stack, stated pain and decision timing
  • ✓Books the demo straight into the right Closer's calendar
  • ✓Sends leads that aren't a fit right now back to nurturing, without burning them
  • ✓Re-engages trials that stalled in onboarding
AI SDR · Rampfy replying in 40 seconds
I requested a demo on the website. I wanted to understand pricing.
AI SDRSure, Ana! To show you the right scenario: how many people do prospecting on your team today?
We're 6 SDRs and 4 AEs. We use HubSpot.
AI SDRPerfect, that's exactly our profile. I have Thursday at 10 AM or Friday at 3 PM with Pedro — which works better?
✓Within ICP · demo booked · briefing sent to the AE
Copilot · on the deal

The cycle doesn't stop
because someone forgot

The Closer's queue arrives sorted by fit, intent and stall risk. And the deal that has been sitting too long shows up before it becomes a loss.

  • ✓Queue by fit × intent × stall risk
  • ✓Alert when a deal goes untouched longer than is normal for its stage
  • ✓Suggested next message by contact and by stage
  • ✓Multi-threading: reminds you to bring in the decision-maker who was left out
  • ✓Re-engagement of stalled trials before the trial period ends
Closer's queue · today9 priorities
Ana Figueiredo · Scale plandemo Thursday 10 AM · 6 SDRs + 4 AEs
High fit
Grupo Vetor · Proposal sentno reply for 9 days
Stalled
Lia Souza · Trial day 6/14integration not activated
Trial
Copilot suggests

Grupo Vetor hasn't replied since the proposal. The financial decision-maker never joined the conversation — I suggest bringing them in with the ROI summary.

AI Manager · in management

Forecast built on evidence,
not on optimism

The stage moves when the conversation shows it did. The head of sales sees the real pipeline, finds where the cycle stalls and has the meeting agenda ready.

  • ✓Stage moved by what was said, not by what was promised
  • ✓Pipeline hygiene: deals with no activity are flagged
  • ✓Average time per stage and where the cycle stalls
  • ✓Comparison between Closers at the same pipeline stage
  • ✓Meeting agenda generated from the week's conversations
Meeting with Pedro generated by the AI Manager · week 32
14daverage cycle to close
62%demo show-rate
$48kpipeline created

Suggested agenda

1Four deals in Proposal untouched for more than 7 days
2Show-rate dropped with paid media leads — review the confirmation
3Recognize: best progression from Discovery to Proposal
Channel intelligence · demand gen

From campaign to contract,
channel by channel

MQLs don't pay the bills. Rampfy shows how many became SQLs, how many became demos and how many became revenue — and sends closed-won deals back so the ad platforms learn from the right customer.

  • ✓Funnel by channel and campaign: MQL, SQL, demo, closed-won
  • ✓CAC and revenue by source, not cost per form fill
  • ✓Offline conversions sent back to Google and Meta
  • ✓Lookalike audience built on the leads that became customers
  • ✓Trial and activation signals sent back to the campaign
Funnel by channel · 30 days410 MQLs
Channel
MQL
SQL
Closed
CAC
ROAS
Google Ads
160
74
9
$4,900
2,4×
Content
120
71
14
$2,100
5,6×
Events
90
31
2
$11,300
1,1×
Referral
40
34
11
$640
18,2×
✓36 contracts sent as offline conversions — Google Ads and Meta CAPI — training the lookalike
All in one place

Built for the SaaS sales cycle

ICP qualification

Criteria configurable by segment, size and stack, applied at intake.

Scheduling on the Closer's calendar

Round-robin, confirmation and reminders handled by the AI.

Lead distribution that speeds up sales

Smart round-robin that never leaves a lead sitting and prioritizes salesperson efficiency.

Deal Copilot

Queue by fit and risk, with the next action suggested by stage.

Pipeline hygiene

Deals with no activity flagged before they turn into a false forecast.

MRR and revenue in the pipeline

Recurring value by stage, channel and owner.

Funnel by channel and campaign

MQL, SQL, demo and closed-won with CAC by source.

Offline conversions to ad platforms

Google Ads and Meta receive the closed contract.

App for iOS and Android

Queue, conversations and pipeline, away from the office.

100%
of conversations and leads logged in the pipeline
−99%
in time to first response
5×
more follow-ups done by reps
★★★★★

“The lead who filled out the form at 11 PM used to land in the next morning's queue. Now they leave the conversation with the demo booked.”

Customer name Head of Sales · B2B SaaS
★★★★★

“Half of my paid media turned into MQLs and died there. Now I see that on the first day of the month, not the last.”

Customer name Demand Gen · SaaS
FAQ

Questions every head of sales asks

Does Rampfy replace my current CRM?

−

It is the CRM. The difference is that the pipeline fills itself from the rep's conversations, instead of depending on them typing it in later.

Do reps have to use a company WhatsApp and reply from inside the CRM?

−

No. Reps hate CRMs that make them reply from inside the tool. The rep stays on their own WhatsApp, the way they work best (and like to work). Our AI analyzes the conversations and organizes everything back in the CRM — pipeline, deals and history, no typing.

Does the AI reply to customers on its own?

−

At intake, yes: the AI SDR answers, qualifies and re-engages leads 24/7, before they reach the rep. During the deal, the rep does the talking — the Copilot prioritizes the day and suggests a ready-to-send message, and the rep approves it before sending.

Do reps have to fill in anything in the CRM?

−

Practically nothing. The AI reads the captured conversations, creates and moves deals through the pipeline, records ICP, interest and trial stage, and keeps the full history per lead — no typing. In the app, the sales rep can also talk to the AI (by voice) to give any feedback needed.

What about the privacy of conversations (LGPD)?

−

Reps accept a consent form when they connect WhatsApp, and conversations are used only for the company's sales operation, with role-based access. The AI analyzes only business-related topics and discards the rest. The details are in our privacy and data protection policy.

How long does onboarding take?

−

It's guided by our team: we connect the reps' WhatsApp, set up the pipeline and the inbound channels, and stay with you through the first days of use. Within a few days the operation is running, with no complex migration.

See the AI qualify a lead from your website
and book the demo on its own

A demo with your ICP, your channels and your calendar.

Book a demo Talk to sales