1,435 inbound calls.40+ hours of conversation. One pipeline ran all of it.
Mexi Maids Cleaning serves the San Diego market with residential and commercial cleaning. We built the inbound engine that captures every quote request, every booking, and every recurring conversion, and runs them through one unified CRM.
What changed for Mexi Maids Cleaning
High call volume. Manual scheduling.
Mexi Maids was already busy, a premium cleaning brand with strong San Diego demand and a steady inbound flow. The problem wasn't demand; it was the manual chaos of handling demand at this volume.
Calls came in faster than the team could route. Quote-to-book required multiple phone touches. Recurring booking conversion (the heart of cleaning LTV) was leaking because there was no automated nudge.
The job: build a high-volume inbound pipeline that turned 1,400+ calls and 9,000+ texts into a clean, tracked, automated booking engine.
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.
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.
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.
No Reputation Engine
Hundreds of happy customers, almost no reviews. The local search flywheel had no fuel.
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.
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.
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.
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.
Volume managed. LTV unlocked.
Total Inbound Calls
Conversation Time
Text + Email Volume
Contact Database
Timeline
Phase 01: Funnel Diagnosis
Audited inbound volume, response times, quote-to-book rate, and recurring conversion. Mapped where the LTV was leaking.
Phase 02: Booking Funnel Live
Instant quote response, SMS + email follow-up sequences, and online booking links. Quote-to-book friction cut to seconds.
Phase 03: Recurring Layer Added
Post-first-clean rebooking automation, loyalty offers, and calendar nudges. The recurring revenue engine started compounding.
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.
Results like this, in other accounts.
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