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 We do not publish named-client outcomes, aggregate ratings, or testimonials we cannot evidence.
For the technology side of the same disclosure — which AI models each system runs on, a models-by-industry load chart, and how those models are grounded, guardrailed, and evaluated rather than fine-tuned — read which AI models we use and how they're trained.
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.Benchmark sources: Harvard Business Review, MIT / InsideSales.
The share of unanswered inbound calls that are converted into a booked job through an automated text-back conversation.
booked_jobs_from_missed_calls ÷ total_missed_calls, per calendar month.Benchmark sources: Google / Ipsos small business studies, Twilio Messaging research.
The share of qualified conversations that end with a confirmed appointment on the calendar.
confirmed_appointments ÷ qualified_conversations.The share of sent quotes that convert to signed work after an automated multi-touch follow-up sequence.
signed_quotes ÷ sent_quotes over a fixed 30-day window from send date.New public reviews earned per month across your primary review profile.
new_reviews_this_month, counted on the profile itself rather than on requests sent.Benchmark sources: BrightLocal, Whitespark.
All-in monthly cost of the system divided by the jobs it books.
(system_cost + tool_subscriptions) ÷ booked_jobs_attributable_to_the_system.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).Every figure on this site is one of three things, and we label which: a metric definition (how a thing is measured), a modelled scenario (arithmetic run on stated inputs), or a cited third-party benchmark with a link to the original research.
We do not publish measured outcomes for named clients, and we do not emit review or rating structured data. If a number is not traceable to inputs on the page or to a source in the list below, treat it as absent — and tell us, because it should not be there.
Each case study starts from operating inputs a business owner can check against their own books: monthly inbound volume, the share currently unanswered, average ticket, and gross margin. Those inputs are printed next to the result.
We then apply one behavioural rate — a recovery rate, a booked rate, or a close rate — drawn from the conservative end of the cited research rather than a vendor best case. The arithmetic is written out line by line so any reader can substitute their own numbers.
A job counts toward a system only when the system made first contact or performed the follow-up that produced the booking. Repeat customers, referrals, and inbound calls answered by a human are excluded from system attribution even when the system was live.
Where a metric can be gamed — review counts, for example — we define it on the outcome (reviews visible on the profile) rather than on the activity (requests sent).
This methodology and the source list were last reviewed on 2026-08-05. Sources are re-checked when a cited study is superseded, and metric definitions change only with a note here explaining what changed and why.
If you find a figure that does not reconcile with its stated inputs, or a source that no longer supports the claim attached to it, we will correct or remove it. Accuracy matters more to us than a stronger-looking number.
Harvard Business Review, 2011
Response time is the dominant variable in inbound lead conversion; contact odds fall sharply after the first hour.
MIT / InsideSales, 2007
Contacting a web lead within five minutes materially increases qualification rates versus contacting after 30 minutes.
BrightLocal, 2024
Most consumers read reviews before choosing a local service business, and review recency affects trust.
Whitespark, 2023
Review quantity, recency, and response behaviour are recognised local-pack ranking signals.
Google / Ipsos small business studies, 2019
Calls are a primary conversion path for local service searches, so unanswered calls are lost revenue rather than deferred revenue.
Twilio Messaging research, 2023
SMS is opened and replied to faster than email for time-sensitive service conversations.
Numbers appear alongside their inputs on every illustrative build, so you can substitute your own figures.
Pick your industry, read the model, and decide from the arithmetic rather than a claim.