TURN YOUR PHONE SIDEWAYS ยท PINCH TO ZOOM
Every lead answered fast and followed up, working toward $5k a week and 8โ10 new clients by year-end.
Texts, scheduling, proposals, billing and follow-up handled, so her hours go to the business.
Recruiting and training that keep running, so new cleaners are ready when the work comes in.
Arettaโs right hand. One point of contact who keeps every agent and every job moving, and brings back only what needs her.
Facebook ads bring in new leads.
Every text answered fast, consult booked.
Her walkthrough becomes a clear brief.
Estimate and proposal, priced her way.
Follow-up until the deposit is in.
Cleaner scheduled, balance billed.
Happy customers asked for a review.
Approves pricing, ads, hiring and anything unusual.
Split-tested job posts find new cleaners.
New hires trained, certified and supported.
Every number in her live dashboard.
Luna is Arettaโs point of contact. Behind her, specialist agents share the work, and some tasks run on several agents working together. The exact lineup is set as we build.
One database for customers, jobs, pricing, training, hiring and reports. Every agent saves to it, and HighLevel and QuickBooks sync into it.
A text, website form or Google LSA message lands in HighLevel. Calls Aretta takes send their transcript.
Match the contact, read past messages and any call transcript, and note whatโs already known.
Ask about the home, services and address in Arettaโs tone. Follow up if they go quiet.
Check the calendar and Arettaโs personal blocks, then offer open consultation slots.
Lock the slot, create the Google Meet link and text the customer a confirmation.
HighLevel is updated. Reminders and follow-up hand off to the sales pipeline.
Call details are missing, the request is unusual, or itโs outside the service area. The agent hands her a summary and never promises anything on her behalf.
Aretta meets the customer on Google Meet, or in person about 10% of the time.
An audio-only note taker captures the conversation. No video of the home is saved.
Rooms, condition, services, frequency, exclusions, access, pets and preferences.
Add property facts and customer history, and flag anything unclear or contradictory.
Attach the brief, transcript and notes to the customer in HighLevel.
The complete brief hands off to estimating and the HighLevel proposal.
No recording because the customer declined or it was in person: right after, she leaves a quick voice note or a few typed notes. She also answers judgment calls the customer canโt.
The complete consultation brief comes in from workflow 2 with the customerโs record.
Predict cleaning hours from the home, her past quotes and real initial and maintenance times.
Apply her pricing to the services and draft the customerโs HighLevel proposal.
Compare against her price ranges and limits. Flag unusual requests or a shaky estimate.
The proposal and customer link go out. Follow-up moves to the sales pipeline.
For roughly the first 10โ20 estimates, and anything outside her limits, she reviews, corrects and approves before itโs sent. She decides when the review period ends, based on accuracy rather than a set count.
A booked consultation arrives from workflow 1 and moves into the pipeline.
Confirm the appointment and remind the customer before the consultation.
The consultation runs through workflows 2 and 3 to produce the proposal.
Check in on the proposal at set intervals and answer simple questions.
She handles real negotiation. The agent re-estimates and revises the proposal.
Send the QuickBooks deposit invoice and remind until itโs paid. Aretta steps in if it stalls.
Deposit paid. The customer hands off to scheduling their first clean.
The won customer arrives from the sales pipeline with their deposit paid.
Assign an available cleaner and confirm the date and time with the customer.
The cleaner clocks in and out on Open Time Clock. Records that donโt match hold the invoice.
Bill the total minus the deposit in QuickBooks and remind until itโs paid.
Send the review link, follow up once, and thank them when itโs posted.
Set up their recurring schedule. Each visit loops back to scheduling.
She fixes the issue with the customer. Once itโs resolved, the review request goes out.
Set up the recruiting pipeline and its stages, separate from customer leads.
Run different job post versions on Indeed, Facebook and other sites at once.
Gather applicants, tag where they came from and text screening questions.
Send Aretta a summary, book it and send reminders. No-shows get one reschedule.
She interviews the candidate and makes the hiring decision herself.
Send her offer, collect paperwork until itโs complete and set a start date.
The new cleaner hands off to onboarding and training (workflow 7).
Track which platforms and versions lead to real hires, not just applicant counts.
Let them know kindly and keep strong ones for future openings.
A new cleaner arrives from recruiting with their details and start date.
Set up their access, then walk them through the handbook, SOPs and short quizzes.
They shadow an experienced cleaner and practice the checklist on real jobs.
She watches them clean and certifies their skills. A quiz alone isnโt proof.
Added to scheduling. Any question goes to the help agent, any time.
They get the answer with the related lesson or customer note, and get back to work.
She answers it. Once she approves, itโs added to the training for next time.
Set the offer, target area and audiences, and budget within Arettaโs limits.
Write copy and build several ad versions from her photos, videos and brand.
She signs off on the ads and the budget before anything goes live.
Check tracking, launch on Facebook and test the ad versions against each other.
Watch spend, delivery and lead quality. Pause weak ads and adjust within limits.
Each lead is tagged with the ad it came from and enters workflow 1.
Follow each lead to a consultation, a won job and what itโs worth.
Judge ads by won jobs and revenue, not clicks. Shift budget to what sells.
Overspend or anything odd pauses the ads until she says go.
Every number lives in the Spotlight Cleaning Web App, always up to date.
Luna sends the numbers that matter, what changed and what to do next.
Overspend, a stalled lead, an unhappy customer or an underpriced job.
Every recommendation shows the numbers behind it. The call is hers.
Answers inquiries by text and books consultations.
Turns the consultation into a brief, estimate and proposal.
Reminders, follow-up, deposit, won or lost.
Schedules cleaners, bills the balance, gets reviews.
Split tests job posts, screens and books interviews.
Onboards new hires and answers cleanersโ questions.
Runs and optimizes Facebook ads by revenue.
Builds the dashboard, summary and alerts.
Once the agents are fully proven at Spotlight Cleaning, we package the system for other cleaning companies.