Airduct Cleaners AZ × TicTakMedia

Air duct cleaning.High SMS preference. We built around it.

Airduct Cleaners AZ serves the Arizona market with residential and commercial air duct cleaning. We built the SMS-first inbound system that handles 697 text conversations and 139 calls, with every quote and scheduling request routed instantly.

Air Duct CleaningArizonaEmail & SMS Marketing
SMS Conversations697+
Inbound Calls⁠139
Contact Database452+
Pipeline Routing100%

What changed for Airduct Cleaners AZ

The challenge

AZ air duct demand. Manual booking.

Airduct Cleaners AZ operates in the air duct cleaning category, a service where homeowners value fast quote response and the convenience of text-based scheduling over a long phone conversation.

The team was capturing calls but missing the SMS-preference audience entirely. Prospects who texted got slow responses or no responses, and demand was leaking to text-friendlier competitors.

The job: build an SMS-first inbound and booking system that captures every quote inquiry (text or phone) and gets a response back inside minutes.

01

Inbound Bottleneck

High call volume during peak hours meant prospects hit voicemail or got slow callbacks, and they'd booked someone else by the time we called back.

02

No Recurring Booking Layer

First cleans weren’t getting converted into recurring bookings. The whole LTV play was leaking out of a missing follow-up sequence.

03

Quote-to-Book Friction

Prospects had to call, get a quote, then call back to book. Friction at every step killed conversion before money changed hands.

04

No Reputation Engine

Hundreds of happy customers, almost no reviews. The local search flywheel had no fuel.

Our approach

Three layers. Built for the category.

Cleaning is a high-frequency recurring-revenue service. We built the booking funnel, automated quote-to-book follow-up, and engineered the CRM to maximize lifetime value per household.

01

Quote-to-Book Funnel

Inbound calls and form leads get an instant quote response. SMS + email follow-up sequences pull warm prospects into a booked first clean inside 48 hours.

02

Recurring Booking Engine

First-clean customers get rebooking nudges, calendar links, and loyalty offers. The recurring revenue layer is where the LTV actually lives, we engineer for it.

03

Reputation Compounding

Post-clean review and referral asks built into the workflow. Every happy clean turns into local social proof that drops the next acquisition cost.

The results

SMS-first. Fully captured.

0+

SMS Conversations

0+

Inbound Calls

0+

Contact Database

0%

Routing Coverage

How it unfolded

Timeline

4 phases
1

Phase 01: Funnel Diagnosis

Audited inbound volume, response times, quote-to-book rate, and recurring conversion. Mapped where the LTV was leaking.

2

Phase 02: Booking Funnel Live

Instant quote response, SMS + email follow-up sequences, and online booking links. Quote-to-book friction cut to seconds.

3

Phase 03: Recurring Layer Added

Post-first-clean rebooking automation, loyalty offers, and calendar nudges. The recurring revenue engine started compounding.

4

Phase 04: Steady-State Engine

High call/text volume managed, recurring bookings stacking, reviews flowing. The team focuses on cleaning: the system handles the rest.

Ready to scale?

Let’s do this for your brand.

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