In cleaning, the money isn't in the first job but in the clients who come back. That's why we track not only leads but also client value, and build ads around the services that bring in regular customers.
Cleaning Services We group searches by intent: high-intent queries go into separate campaigns with higher bids, informational ones become negative keywords or content.
A large share of searches are “how much does cleaning cost.” If your site lacks a clear calculator or fixed packages, people close the tab and keep comparing.
Regular cleaning, post-renovation cleaning, upholstery cleaning and offices have different ticket sizes and different odds of a repeat order. One campaign for everything doesn't let you manage that.
A regular client books the second time directly, and Google Ads doesn't see that value. Without CRM data import, the algorithm undervalues the searches that bring in regular clients.
Before holidays and in spring, there are more requests than crews. If ads run at full speed when the schedule is already booked, you pay for clients you'll have to turn away.
Every campaign has its own role. We set the order and budget after analyzing demand in your city and your competitors.
Separate ad groups for apartment, post-renovation, upholstery and office cleaning, with ads tailored to the specific service and pricing format.
How it works 02Additional residential cleaning orders with audience signals based on customer lists, once order value tracking is in place.
How it works 03Brings back people who used the price calculator but didn't book, and reminds regular clients about seasonal cleaning.
How it works 04A Google Business Profile with reviews for “cleaning service near me” searches, where people choose by rating and photos.
How it worksThis is just one variation. In a responsive search ad, we write up to 15 headlines and 4 descriptions, and Google assembles the best combination for each search.
Ad descriptions
Deep, regular and post-renovation cleaning. Vetted cleaners, fixed pricing.
Enter the area and cleaning type to see the price instantly. Weekend slots available.
Automated bid strategies learn from the data we feed them. That’s why we only count actions that lead to sales.
Demand seasonality
Peak periods are the weeks before New Year's and Easter, plus spring, when people book deep cleaning, while renovation season drives demand for post-renovation cleaning. Commercial cleaning is steadier throughout the year and smooths out dips in residential demand.
We identify which services deliver the best margins and repeat orders, and make them the focus of the campaign structure.
We review or help build a price calculator and set up GA4 events, calls, messengers and import of paid orders from your CRM.
We launch Search campaigns by cleaning type, and remarketing to people who checked the price but didn't book.
We align the budget with crew schedules: ramping up ads on open days and scaling back when the schedule is full.
Answers to the questions business owners ask most often before launch.
For residential cleaning, it's highly recommended. People want to know the price before calling, and a calculator removes the main objection. Plus, a calculation can be tracked as a micro-conversion and used for remarketing.
We pass not only the first order from your CRM to Google Ads but also the value of the client's subsequent paid orders. Then the algorithm sees which searches and audiences bring people who come back and shifts bids in their favor.
It's better to keep them separate. Offices have different searches, a longer decision cycle and a different decision-maker. A separate campaign with its own landing page lets you show contract terms and regular service.
We lower the budget or limit ad delivery on fully booked days and shift the focus to higher-ticket services. Ads that lead to turned-down orders hurt both your reviews and your data.
Leave your contact — a specialist will review your ads or website and prepare a short breakdown with concrete next steps. No obligations, no hard selling.
We reply within 1 business day
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