What is this sprint demo?

A working demo of an AI operator workflow developed during a focused 5-day sprint.

Is this the full product or a preview?

This is a demo/prototype. The full product is available in the store with complete templates and documentation.

Using autonomous AI agents as the primary development engine, with human oversight at key decision points.

Where can I get the full product?

Find the corresponding product page in the store for full access and documentation.

Missed-Lead ROI Calculator

Quantifies what missed calls cost your home-service business per month — and what recovery rate a $99–$299/mo text-back tool needs to hit to break even.

Open formula. No signup. No tracking. Permalink updates as you type.

Inputs

Inbound calls per week Total business phone volume — count both office line + technicians' lines

% of calls that go unanswered Industry baseline for home-service is 30–74% per published call-data studies

Average customer lifetime value ($) First job + likely repeats. HVAC/plumbing typically $400–$1,500; roofing $5k–$30k

% of qualified callers who become customers Of callers who reach you in time and book — your normal close rate

% of missed callers a text-back tool wins back Conservative: 15%. Vendor claims: 25–35%. Adjust based on your audience age + emergency-vs-scheduled mix

Monthly tool cost ($) Tier examples: GHL $97, Enzak $99, NextPhone $199, LeadTruffle $229, premium $400+

Monthly impact

Calls per month—

Calls missed per month—

Lost customers per month (missed × close rate)—

Lost revenue per month—

Lost revenue per year—

With recovery tool

Customers recovered per month—

Revenue recovered per month—

Tool cost per month—

Net monthly gain—

ROI multiple—

Breakeven recovery rate

—

The tool needs to convert at least this percent of missed callers to pay for itself.

How the math works

Every output is computed from the inputs above. Nothing is sent to a server.

calls_per_month       = calls_per_week × 4.345
missed_per_month      = calls_per_month × (miss_rate / 100)
lost_customers        = missed_per_month × (close_rate / 100)
lost_revenue          = lost_customers × ltv
recovered_customers   = missed_per_month × (recovery_rate / 100) × (close_rate / 100)
recovered_revenue     = recovered_customers × ltv
net_gain              = recovered_revenue − tool_cost
roi_multiple          = recovered_revenue / tool_cost
breakeven_rate        = tool_cost / (missed_per_month × close_rate × ltv) × 100  (in %)

The 4.345 weekly-to-monthly factor is the average weeks per month over a year (52 / 12). The "close rate" is applied twice on the recovery side because a recovered missed caller still needs to convert at your normal close rate — recovery doesn't guarantee a sale.

Where the assumptions come from

Miss rate 30–74% — published home-service call-data studies put missed-call rates at 30%+ for solo operators and up to 74% for crews on jobsites. Source: LeadTruffle.
Customer LTV bands — HVAC/plumbing service-call ranges from trade pricing guides; roofing per-project from contractor industry reports. Use your own books if you have them.
Recovery rate 15–35% — vendor case studies (Newo, TalkerIQ) cluster around 20–30%. We default to 20% (conservative) so you don't budget against vendor-best-case numbers.
Tool-cost tiers — current 2026 market pricing: GoHighLevel $97 (CRM-bundled), Enzak $99, NextPhone $199, LeadTruffle $229, premium-managed $400–$1,200+.

What this calculator does NOT do

It doesn't account for callers who would call back on their own (assume some fraction would; in published data 85% don't, so the leak is real).
It doesn't track your data — there is no backend; everything runs in your browser.
It doesn't sell you a specific tool. The numbers tell you the breakeven; pick whichever vendor matches your trade and integration needs.
It doesn't predict the future — these are steady-state monthly estimates. Seasonal trades (HVAC summer/winter, roofing storm season) will see months that are 2–3× the average.