Markster RevOps System
Your commercial team spends 80% of its time on work a system should handle.
Prospecting, list building, email sequencing, CRM updates, pipeline reporting, content scheduling. All of it runs on people pushing buttons. Markster replaces the operational layer with AI. Your people do the work only humans can do. The system does the rest. Live in 30 days.
Book a 20-Minute WalkthroughWe review your current setup and tell you whether this is the right fit.
Operating for firms from 5-person practices to the largest telecom in Europe.
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You are already paying for these jobs
The operational layer costs $350K to $1M per year. Most of it is button-pushing.
In salaries, agency fees, or leadership hours. Here is what each function costs when you staff it with people versus when you run it on the Markster RevOps System.
A senior hire spending 20 hours per week on these functions costs
$100,000 to $250,000 per year in opportunity cost alone.
That is capacity not going into closing deals, expanding accounts, or building pipeline.
| Function | What it costs (your team) | Markster RevOps System |
|---|---|---|
| Prospect research + list building | $40,000 to $90,000/yr | Fully replaced |
| Outbound sequencing + follow-up | $50,000 to $90,000/yr | Fully replaced |
| Content production | $60,000 to $120,000/yr (hire) $90,000 to $180,000/yr (agency) |
Fully replaced |
| CRM operations + data hygiene | $50,000 to $110,000/yr | Fully replaced |
| Pipeline reporting + attribution | $30,000 to $80,000/yr | Fully replaced |
| Competitive intelligence | $0 to $50,000/yr | Fully replaced |
| Campaign scheduling + distribution | $40,000 to $88,000/yr | Fully replaced |
| Management + coordination | $0 to $144,000/yr (manager or leadership time) | Eliminated |
| Tool stack | $39,000 to $155,000/yr | Included |
| Turnover drag | $47,000+/yr (if you hire SDRs) | $0 |
| Total operational layer | $350,000 to $1,000,000 | $78,500 (Year 1) |
| What stays with your people | ||
| Closing deals | Your AE | Your AE |
| Strategic direction | Your leadership | Your leadership |
| Customer relationships | Your account managers | Your account managers |
| Approvals | Your call | Your call |
What this looks like in practice
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Real companies. Real numbers. Real time windows.
$443K to $900K
Revenue in 73 days. Owner hours dropped from 70 to 33 per week.
No new hires. System runs the operational layer.
Robert
CPA firm
50 to 110
Qualified appointments per month in 66 days. $72K in hiring costs avoided.
Same team. System handles outbound and pipeline.
David
HVAC firm
20% to 75%
Close rate after speed-to-lead automation. System responds in
minutes instead of hours. Same leads, 3x more closes.
Tyler
Plumbing, Co-Owner
What the system produces
It fills your calendar with people who already said yes.
| Metric | Traditional team | Markster Growth | Markster Scale |
|---|---|---|---|
| Contacts enriched/month | 300 to 500 | 500 | 1,000 |
| Reply rate | 4.5 to 5.8% | 8 to 15% | 8 to 15% |
| Qualified replies/month | 7 | 20 | 40 |
| Held meetings/month | 24 email+phone+LI | 10 email-led | 21 AE converts warm |
| Content pieces/month | 12 to 18 | 8 | 16 |
| Ramp time | 3.2 months/SDR | Day 31 | Day 31 |
| Turnover risk | 34%/year | 0% | 0% |
| Annual operational cost | $706,000 | $78,500 | $84,000 |
Traditional team
$2,451
per held meeting
Markster Scale
$333
per held meeting
You give up 3 meetings a month. You save $622K a year. Performance share (15% of CRM-attributed revenue) layers on top only when the system generates results.
Works with your existing stack
90%
drop in AI operations cost over 18 months
The economics that made this impossible in 2024 now make it inevitable. We are live, metered, and compounding.
The pricing architecture
Set up once. Pay per operation. Share upside when it works.
Three layers. Each maps to a different stage of value delivery. The billable event changes as the system proves itself.
1
Install
Build + deploy
→
2
Operate
Pay per operation
→
3
Align
Share upside
Phase 1
Install
$12,500 one-time
The entire operational infrastructure built and deployed.
Voice profile, 200 target accounts researched and scored,
outbound sequences, CRM configuration, analytics,
content pipeline, market intelligence. Operational in 30 days.
You own the system from Day 1.
Billable event: the install
Phase 2
Operate
$3,500/month platform + usage
Platform fee covers infrastructure, human oversight, CRM ops,
intelligence, and system upgrades. Usage metered per AI operation.
Typical all-in
$5,400 to $6,000/mo
View per-operation rates ↓
Contact enriched + scored
$0.50
Outbound sequence deployed
$100
LinkedIn post
$65
Blog article
$125
Pipeline report
$40
CRM ops + data + intelligence
included
Billable event: the AI operation
Phase 3
Align
15% of CRM-attributed revenue
Performance share on revenue the system generates.
First-touch CRM source attribution. Paid monthly on collected revenue.
Available after 90 days of active operations.
You only pay the performance share on revenue the system actually generated.
Billable event: the business outcome
Every AI operation that creates value is a billable event. The unit of billing maps to the unit of work, not to time or headcount. Flexible terms. Month-to-month or annual.
Why usage-based pricing matters for you
Three things that change when every operation is metered.
01
You see exactly what you pay for
Every contact enriched, every sequence deployed, every article published
is tracked from Day 1. No black-box retainers. No hours that
disappear into coordination.
02
Your invoice matches real work
Hybrid pricing (fixed + usage + outcome) requires infrastructure
most billing systems were not built for. Ours tracks billable events
in real time and maps them to the correct tier per client.
03
Cost per operation drops as volume grows
AI cost-to-serve varies by client. Because every operation is metered,
margin per client is visible in real time. The system learns:
fewer iterations, lower compute, higher throughput per dollar.
Who built this
Backed by 500 Global
Built at enterprise scale. Productized for every firm size.
Ivan Ivanka
CEO
Ran the commercial function from startup to enterprise scale.
Saw the same bottleneck everywhere: the operation ran on people instead of a system. Built the fix.
Attila Tamas
CTO
Built the infrastructure layer. Previously co-founded Airtame (500K units shipped)
and engineered systems at scale.
Backed by 500 Global
See if it fits
Stop paying $350K for work a system handles in 30 days.
We review your setup, identify the highest-leverage gap, and tell you if this fits. 20 minutes.
ivan@markster.ai
ivan@markster.ai