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Jobber for Window Cleaning

Window Cleaning websites for Jobber that stop handoff leaks

We're drowning in voicemails while we're up on ladders, and by the time we get down to call back, the lead already hired someone else who answered first. When the emergency storm clean hits a slow website handoff, revenue leaks fast. This setup qualifies the request before it reaches Jobber so the first response starts with usable context instead of guesswork.
Window Cleaning operator language
Jobber request handoff
Booked-job focus

Problem / Fix

What's broken on most window-cleaning websites

We're drowning in voicemails while we're up on ladders, and by the time we get down to call back, the lead already hired someone else who answered first.

What breaks first

What's broken on most window-cleaning websites

We keep seeing the same handoff leak: window cleaning websites lose leads when calls come in during ladder work or drive time and the callback happens after the customer has already booked the first company that answered. That is not just a form problem. It turns into a response and routing problem because the first callback still has to reconstruct what the prospect needs before the team can act.

Cost of delay

A weak window cleaning handoff can cost the first appointment, the qualified consult, or the follow-up sequence that should have started immediately.

Industry context lives at /for/window-cleaning.

What the connected website changes

What a Jobber-connected website does instead

The site captures the detail Jobber needs before the handoff starts. On the native path, Jobber receives the request immediately. On the custom path, the website uses the documented Jobber integration pattern to preserve cleaner intake context for the team that has to follow up.

Native path

The website links to, or embeds, Jobber's request or booking experience. Submissions are processed as Jobber requests or bookings without a custom middleware layer.

API or managed intake

A custom site or middleware application runs Jobber's OAuth 2.0 authorization-code flow, stores bearer and refresh tokens, and sends GraphQL queries or mutations to Jobber on the account's behalf.

View platform detail

Connection patterns

How the connection works

These patterns should read like operating choices, not generic feature boxes.
Simplest pathSource

Native Jobber handoff

The website links to, or embeds, Jobber's request or booking experience. Submissions are processed as Jobber requests or bookings without a custom middleware layer. This is the fastest path when the business mostly needs speed and does not need the website to add much extra routing before the handoff.

When to use

Use Jobber's native request or booking path when the business can live inside Jobber's form model and mainly needs fast lead capture into the operating system.

More controlSource

Custom Window Cleaning intake + Jobber

The website captures emergency storm clean, timing, and fit context first, then hands the structured payload into a backend integration so Jobber receives something more useful than a vague contact form.

When to use

Use an API-led approach when the site needs custom qualification, richer multi-step intake, or tighter data control before anything reaches Jobber.

Intake design

What the website captures for window-cleaning

Generic Window Cleaning forms lose the detail the team needs in the first response window.

Field

Property type (residential/commercial)

We miss calls while working at height and can't respond fast enough to beat competitors

Field

Window count or square footage estimate

Our website form doesn't ask about window type or story height, so we waste time quoting jobs we can't handle

Field

Number of stories

We get price shoppers from lead services who submit 5 requests at once and take the lowest bid

Field

Interior only, exterior only, or both

Commercial leads sit in the same inbox as residential, but commercial needs 90-day payment terms we can't afford

Field

Preferred service timeframe

We don't capture 'interior-only' vs 'exterior' preference upfront, leading to scheduling conflicts

Diagnostic preview

We usually find 3 Jobber handoff leaks on Window Cleaning sites.

  • We keep running into this: the website sends emergency storm clean into Jobber without enough context to route immediately.
  • We keep running into this: the team still has to clarify property type (residential/commercial) and window count or square footage estimate before the real follow-up can start.

Workflow path

Typical window-cleaning + Jobber workflows

The point here is to show readers how a lead moves, not bury them in another generic list block.
same day

Emergency Storm Clean

  1. Trigger

    A prospect submits a emergency storm clean through the website.

  2. Capture

    The website captures the context needed to make the first Jobber follow-up productive.

  3. Platform handoff

    Jobber receives the handoff with cleaner intake detail so the team can move faster after the form fill.

within week

Real Estate Listing Prep

  1. Trigger

    A prospect submits a real estate listing prep through the website.

  2. Capture

    The website captures the context needed to make the first Jobber follow-up productive.

  3. Platform handoff

    Jobber receives the handoff with cleaner intake detail so the team can move faster after the form fill.

planned

Commercial Recurring Contract

  1. Trigger

    A prospect submits a commercial recurring contract through the website.

  2. Capture

    The website captures the context needed to make the first Jobber follow-up productive.

  3. Platform handoff

    Jobber receives the handoff with cleaner intake detail so the team can move faster after the form fill.

Direct value

Why connect the website directly to Jobber

These are the operating gains teams get when the website stops dropping context before Jobber sees the lead.

Faster Window Cleaning triage

The request arrives with enough detail to route before someone has to ask the same questions again.

Cleaner team context

The first callback starts inside Jobber with more than a name and a vague message.

Better follow-up visibility

The handoff stays measurable instead of disappearing into a generic inbox or booking queue.

Technical detail

Technical details

Expandable — for ops managers and technical reviewers

How authorization works
Jobber uses OAuth 2.0 authorization code flow for third-party apps. An admin user approves scopes in Jobber, the app exchanges the authorization code for an access token and refresh token, and the access token is then used as a bearer token on GraphQL requests.
How data moves
On the native path, the visitor fills out Jobber's own request or booking experience and the submission lands in Jobber right away. On a custom path, the website sends the captured data into an integration layer that calls Jobber's GraphQL API and then stores the resulting record in the Jobber account.
What this integration cannot do
Access is scope-based and granted by a Jobber admin during app authorization. Access tokens expire after about 60 minutes, refresh tokens must be stored carefully, and refresh-token rotation can invalidate older refresh tokens if apps are not written defensively.

Review the standards language, documented limits, and explicit constraints before you commit to a rebuild.

Open technical trust page

FAQs

Frequently asked questions

Answer the operational objections directly and keep the interaction light.
Does this replace Jobber?
No. The website feeds Jobber and supports the team; it does not replace the operating system after the lead lands.
Can the site qualify window cleaning leads better before they reach Jobber?
We need the intake to fix this exact problem: yes. The website can capture fit, timing, and route context before the Jobber handoff starts.
Do we have to start with the Jobber API?
No. Many teams can start with the native Jobber path and only add the custom integration when the workflow needs more control.
What lands in Jobber first?
Usually the lead or request record that matches the documented Jobber path, with the website attaching cleaner intake context before the team follows up.
We already have Jobber. Why change the website?
Jobber already runs the downstream workflow. The website still has to capture the right detail, route it cleanly, and start follow-up before that demand cools off.
We do not want more tools.
We do not add another disconnected tool just to say we added automation. The website and routing layer are built around Jobber so your team keeps one operating system and one source of truth.
We need more leads, not more process.
More leads do not fix a weak handoff. If the site is already dropping context or slowing response, buying more demand just makes Jobber absorb more noise instead of more booked jobs.
Tailored deliverable

See the custom Jobber demo tailored to Window Cleaning

We will show how emergency storm clean and real estate listing prep can move through one site without the usual handoff drag.

We walk through the current window-cleaning site, show where routing and response break down, then map the Jobber handoff that fits.