52% of home-services calls get answered — and 55% of businesses never ask the caller to book

A homeowner with water coming through a ceiling calls three numbers in the order the map pack returned them and stops at the first business that both picks up and offers to come out. The published call data says 52% of home-services calls are answered, and that 55% of the calls that are answered end without anyone asking for the sale. Those two rates compound. Multiplied against each other they leave fewer than one call in four both answered and closed, and every one of the others was paid for at the same cost per click as the ones that worked. Home services converts paid search at a 7.33% average, so the traffic is arriving with intent; the loss is happening after it lands.

At the published rates, a home-services business answers roughly half its calls and asks for the job on fewer than half of those. Fewer than one call in four gets both.

1. 01

   The two losses compound, and only one of them looks like a marketing problem

   52% answered and 55% of those never asking for the sale leaves under a quarter of calls reaching both gates. A business that doubles its media spend against those rates buys itself proportionally more of the same loss. The arithmetic runs on published inputs and is the reason the model sequences intake before media.

2. 02

   Missed calls in the trades have a structural cause, not a motivational one

   Crews are on roofs, under houses and in vans without signal. The answer is coverage design — overflow routing, a defined after-hours path and an automated callback commitment — rather than asking a technician to answer while holding a ladder.

3. 03

   Not asking for the sale is a script gap

   A call that ends with 'we'll get back to you' is a call with no defined close. The model puts one sentence at the end of every call: a proposed visit window, confirmed against the address. It is the cheapest change in the entire engagement and the one with the largest published gap behind it.

4. 04

   Speed is the only lever here with a causal study attached, and it needs its date read out

   The canonical experiment found firms contacting a prospect within an hour were roughly seven times more likely to qualify that lead than those waiting an hour longer. It dates from 2011 and measured web-form leads rather than emergency trade calls, so it is directional for this vertical rather than definitive, and the model cites it that way.

5. 05

   The response-time expectation is set outside the business

   It is set by the fastest competitor the homeowner already called. The model takes that expectation from the current edition of Jobber's annual owner survey rather than from an internal assumption, and the response service level is fixed to that figure at kickoff rather than negotiated afterwards.

Calls answered by a person **52%** · **55% of home-services businesses don't ask the caller to book the job** (corrected from "55% of businesses") · 38% of answered calls are leads; 45% of those convert on the call.

The model instruments first. Call tracking goes on by trade and by campaign, capturing answered rate, time to first response, after-hours share and the share of calls that end with a booked visit rather than a promise. Phase two closes the two gaps that instrumentation exposes: coverage for the hours calls actually arrive, an overflow route and a missed-call callback commitment, and a defined close on every call that proposes a visit window. Only then does media scale, because at that point an additional click lands in a funnel that holds. Reporting moves off cost per lead and onto cost per visit booked, since a lead that nobody answered is an expense rather than a lead.

1. 1

   Weeks 1–2

   Instrument the phone

   Call tracking by trade and campaign, answered rate and response-time baseline

   Owner: OmniFlow

2. 2

   Weeks 3–5

   Coverage design

   Hours coverage, overflow routing, missed-call callback commitment

   Owner: OmniFlow + client

3. 3

   Weeks 3–5

   Define the close

   One closing sentence per call type, proposing a visit window

   Owner: OmniFlow + client

4. 4

   Weeks 5–8

   Landing and booking

   Trade-specific pages, booking route that works when nobody picks up

   Owner: OmniFlow

5. 5

   Weeks 8–12

   Scale media

   Search and profile-led demand, measured on visits booked

   Owner: OmniFlow

6. 6

   Week 12

   Review

   Answered rate, response time, cost per visit booked

   Owner: OmniFlow + client

At the published rates the model would expect roughly a quarter of inbound calls to clear both gates before any work is done, which is the baseline every later figure is measured against. The model targets the answered rate first and the closing sentence second, and reports cost per visit booked alongside cost per lead because those two numbers diverge sharply in this trade and only one of them corresponds to a truck leaving the yard. All inputs here are published benchmarks; the business's own instrumented figures replace them from week three.

Modelled. Inputs: Invoca, Home Services Lead Conversion Benchmarks Report 2026 (70M+ tracked calls); Jobber, 2026 Home Service Trends Report (1,050 US and Canadian owners); LocaliQ, 2025 Search Ad Benchmarks for Home Services (3,211 US search campaigns, April 2024 – March 2025); Oldroyd, McElheran & Elkington, The Short Life of Online Sales Leads, Harvard Business Review, March 2011 (1.25M leads across 42 US companies). Modelled outputs are not a forecast or a guarantee of results. Cited: Invoca *Home Services Lead Conversion Benchmarks 2026* (70M+ calls). Figures refreshed 2026 against Invoca 2026.

Every figure below is published research, not a client result. They are the inputs to the arithmetic above, listed so it can be checked rather than taken on trust. The bracketed number points to the full citation at the end of this page.

These are the surfaces this engagement is run and measured from, shown with representative figures built around the benchmarks cited on this page. Every account we run reports into views like these, and you keep ownership of all of them.

Each figure on this page, the system it is read from, and the definition and window it is measured over.

Not applicable — this is a modelled engagement, not a delivered one. Its weakest input is selection: the published call data is drawn from businesses already running call tracking, which is the more sophisticated end of the trade, so a business without tracking should expect its own answered rate to sit below 52% rather than above it. The instrumentation phase exists to replace the benchmark before any spending decision is made on it, and the speed study behind the model is fifteen years old and drawn from a different lead type.

A modelled capability, not a client account. Figures illustrate what the model produces and are labelled as modelled wherever they appear. See all our work

Full citations for everything cited on this page, with the sample and period each study covers, so you can go and read the original.