Stackz for Carpet cleaning

Booking links, deposits, and follow-ups built for Carpet cleaning operators.

Built for Carpet cleaning operators
Save ~40 min per jobAdmin time saved vs manual follow-up
Earn an extra $150+/dayUse the time saved to add another booking
Automates 30+ tasksIntake, scheduling, payments, and follow-ups

Why Carpet cleaning teams choose Stackz

  • OK
    Send a booking link to any lead.
    Run every job from one command center.
  • OK
    Collect deposits to reduce no-shows.
    Run every job from one command center.
  • OK
    Automate follow-ups after every job.
    Run every job from one command center.
Built for Carpet cleaning workflows

Turn more inquiries into booked jobs.

Stackz gives you a clean booking link, automated reminders, and payments without adding a bulky CRM.

01

Instant booking links

Send a link to any lead and let customers schedule themselves.

02

Deposits without the chase

Collect deposits automatically to reduce no-shows and reschedules.

03

Follow-ups on autopilot

Reminders, receipts, and review asks go out right on time.

Popular Carpet cleaning services

Start with ready-to-edit packages.

We set you up with starter packages so you can launch fast and adjust later.

2-room clean

Deep clean two rooms and spot treatment.

$120 90 min

Whole-home clean

Up to 5 rooms, hallways, and spot treatment.

$260 180 min
Your day with Stackz

From first message to paid job.

Step 1

Share a booking link

Send one link and customers pick a time that works for you.

Step 2

Get the deposit

Collect a deposit automatically to lock in the schedule.

Step 3

Follow-ups run themselves

Reminders, receipts, and review requests fire on time.

Pricing

Free for Carpet cleaning businesses.

Free / for your business
Customers pay a 10% deposit + $3.99 Confirmation Fee at booking.
  • No credit card required for businesses.
  • Confirmation fee is paid by the customer at booking.
  • Deposits hold the slot and reduce no-shows.

Ready to grow Carpet cleaning bookings?

Start with fast onboarding, then fine-tune the rest later.