Estimate examples

Cleaning estimate examples you can adapt to your workflow

These examples are not universal price lists. They show how a structured quote can change based on service type, frequency, and add-ons while still following the same core pricing logic.

One-time standard clean

A 3 bed / 2 bath home might start from your base size band, then add room adjustments, a travel fee, and any selected extras like oven or fridge interiors.

Biweekly recurring clean

Take the established baseline and use a smaller maintenance multiplier so recurring visits stay attractive without cutting too deeply into margin.

Deep clean

Use your normal baseline, then apply a deep-clean multiplier and itemize high-effort extras such as pet hair or detail appliance work.

Move-out clean

Treat the empty-home turnover as a separate service type with checklist-based extras and a labor buffer for inspection-level detail.

What to compare across examples

Home size and room count
Service type multiplier
Frequency adjustments
Add-ons and condition-based labor
Travel fee and minimum job protection

FAQ

Why are estimate examples useful?

Examples make the pricing method easier to understand and help you sanity-check whether your baselines, minimums, and extras feel realistic.

Should every customer see line items?

Not always, but internally line items help you understand where the total comes from. They are also helpful when a client asks why one service costs more than another.

Build your own estimate Read the pricing guide

How to use these estimate examples

Example estimates are useful in two ways. First, they show you the shape of a good quote — what to include, how to order it, and how add-ons and multipliers move the total. Second, and more importantly, they give you a reference point to calibrate your own pricing against. The dollar figures in any example are illustrative; the structure is what transfers to your business.

When you look at a set of examples, pay attention to the relationships rather than the absolute numbers. A deep clean priced well above a standard clean, a recurring visit priced below a one-time job, a move-out carrying detail work a maintenance clean does not — those proportions should hold in your market even if your baseline rate is higher or lower than the example. If your own quotes do not show those relationships, it is a sign a service type is mispriced.

The fastest way to build your own library of examples is to save real quotes as you send them. Over time you accumulate a set of reference jobs you can pull from, which speeds up quoting and keeps your pricing consistent from customer to customer. Until then, treat these examples as a template: copy the structure, plug in your own rates, and adjust for the condition and access of the specific home in front of you.

Four estimate examples side by side

The same home can produce very different estimates depending on service type and frequency. Here are four common shapes.

One-time standard clean, 2-bed / 1-bath apartment.

Baseline — Small home size band$135
Minimum check — Above the $120 floor—
Add-ons — None—

Estimated total: $150

Recurring biweekly, 3-bed / 2-bath house (after reset).

Baseline — Mid-size home$165
Frequency adjustment — Biweekly cadence-$10

Estimated total: $155 per visit

One-time deep clean, 3-bed / 2-bath house.

Baseline — Mid-size home$185
Deep-clean multiplier — Detail-heavy visit+$95
Oven interior — Flat add-on$25

Estimated total: $305

Move-out clean, empty 2-bed / 1-bath apartment.

Baseline + move-out multiplier — Empty-home detail$180
Appliance interiors — Oven and fridge$50

Estimated total: $230

Same house, four services, four very different numbers — which is exactly why a repeatable method beats guessing.

What makes two estimates differ

Service type

Standard, deep, move-out, and recurring are different jobs with different labor. The service type applies the multiplier that separates a $150 clean from a $320 one on the same home.

Frequency

A one-time visit prices higher than an established biweekly slot because buildup and setup differ. The cadence you agree on directly shapes the per-visit number.

Add-ons and extras

Oven interiors, windows, and fridge cleanouts appear as their own line items. Two otherwise identical estimates can diverge purely on which extras the customer selects.

Condition and access

Clutter, buildup, parking, and stairs all move the number. An accurate estimate reflects the home in front of you, not an average home.

How CleanQuote models this

Every example above comes from the same engine: a size baseline, then multipliers and add-ons for the specific service. CleanQuote is designed so you never start an estimate from a blank page — you pick the service type and the structure handles the rest.

Seeing several service types next to each other also helps you explain pricing to customers. When a client asks why a deep clean costs more than a standard clean, the side-by-side line items answer the question for you.

One size baseline drives every service type.
Standard, deep, recurring, and move-out each apply their own multiplier.
Add-ons appear as separate, explainable line items.
A minimum keeps small jobs profitable.

Try it on a real job with the free cleaning calculator.