A remodeling contractor recovers quotes that went quiet
A remodeling contractor recovers quotes that went quiet
Modelled on a contractor sending 30 quotes a month at an $11,000 average project value and a 22% baseline close rate.
The starting situation
Quotes go out the same evening the walkthrough happens, then nothing. Homeowners take two to six weeks to decide, and by then the only company still in front of them is the one that followed up. Following up manually means remembering 30 open quotes across a truck, a phone, and a notebook — which means it does not happen.
What was installed
- AI Quote Follow-up sequence firing the moment a quote PDF is sent
- Nine touches across 21 days: email, SMS, and two voicemail drops
- Objection branches for price, timing, and 'we're getting another bid'
- Auto-pause the instant the homeowner replies, books, or opts out
Before and after
| Measure | Before | After |
|---|---|---|
| Quotes sent / month | 30 | 30 |
| Follow-up touches per quote | 0–1 | 9 (auto-paused on reply) |
| Close rate | 22% | 31% |
| Jobs won / month | 6.6 | 9.3 |
| Average project value | $11,000 | $11,000 |
The arithmetic
- 30 quotes × 9 percentage points of added close rate = 2.7 extra jobs per month.
- 2.7 × $11,000 = roughly $29,700 in additional booked revenue per month.
- No added ad spend — the same 30 quotes, worked properly.
The $79 system is covered by the first recovered quote, typically inside two weeks.
Verdict: For any business quoting in the thousands, follow-up discipline is worth more than more leads. The sequence is what turns a quote into a decision.
What to install to reproduce this
This build runs on AI Quote Follow-up, bundled inside the Contractors package.
- · AI Quote Follow-up sequence firing the moment a quote PDF is sent
- · Nine touches across 21 days: email, SMS, and two voicemail drops
- · Objection branches for price, timing, and 'we're getting another bid'
- · Auto-pause the instant the homeowner replies, books, or opts out
Related pages
More build math
Key terms on this page
- SMS lead responder
An SMS lead responder is an automation that sends a personalised text message to every new enquiry within seconds, then continues a short qualifying conversation over text until the lead books or opts out.
- Payback period
Payback period is how long a system takes to generate enough additional gross profit to cover what it cost to buy and install.
- Quote follow-up
Quote follow-up is an automated sequence that contacts every prospect who received a quote or estimate but has not yet responded, on a fixed schedule with new information each time.
- Autonomous lead nurturing
Autonomous lead nurturing is an AI-run sequence of messages that keeps following up with a lead until they book, reply no, or go quiet, without someone sending each message.
- Automated estimate follow-up
Automated estimate follow-up is a timed series of messages sent after a quote goes out, prompting the customer to ask questions or accept.
- Lead qualification
Lead qualification is the process of asking a new enquiry a short set of questions — job type, location, timeline, and budget range — to decide whether it is worth a sales conversation and how urgently to route it.
How the numbers on this page are measured
Every metric quoted for this modelled build has a stated definition, a formula, and an assumption you can test against your own books. Last reviewed 2026-08-05.
| Metric | Definition | How it's calculated | Assumption |
|---|---|---|---|
| Speed to lead | The elapsed time between a prospect raising their hand (form, call, DM) and the first substantive reply reaching them. | first_reply_timestamp − inbound_timestamp, measured per lead and reported as a median. | An automated reply counts only if it asks a qualifying question or offers a booking action — an autoresponder that says 'we got your message' is not a reply. |
| Booked rate | The share of qualified conversations that end with a confirmed appointment on the calendar. | confirmed_appointments ÷ qualified_conversations. | Qualification uses the same three questions before and after install, so the denominator is comparable. |
| Payback period | How long the system takes to return its own cost in gross profit. | total_setup_and_tool_cost ÷ (incremental_jobs_per_month × average_ticket × gross_margin). | Uses gross margin, not revenue. Where a margin is not stated on a page, the model assumes the trade's typical margin and says so inline. |
Sources
- The Short Life of Online Sales LeadsHarvard Business Review, 2011Response time is the dominant variable in inbound lead conversion; contact odds fall sharply after the first hour.
- Lead Response Management studyMIT / InsideSales, 2007Contacting a web lead within five minutes materially increases qualification rates versus contacting after 30 minutes.
- Local Consumer Review SurveyBrightLocal, 2024Most consumers read reviews before choosing a local service business, and review recency affects trust.
- Local Search Ranking FactorsWhitespark, 2023Review quantity, recency, and response behaviour are recognised local-pack ranking signals.
- Small business phone and messaging behaviour researchGoogle / Ipsos small business studies, 2019Calls are a primary conversion path for local service searches, so unanswered calls are lost revenue rather than deferred revenue.
- Business texting engagement benchmarksTwilio Messaging research, 2023SMS is opened and replied to faster than email for time-sensitive service conversations.
What this is — and isn't
Figures on this page are modelled, not audited client results. Inputs (call volume, ticket size, close rate) are stated next to every number so you can substitute your own. We do not publish named-client outcomes, aggregate ratings, or testimonials we cannot evidence.
Full modelling rules, attribution rules, and the correction policy are on our methodology page.
Guarantees and supported integrations
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- OpenPhone
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