How long does AI take to show ROI? A timeline by use case
Most organisations wait two to four years for satisfactory ROI on a typical AI use case, according to Deloitte’s 2025 survey of 1,854 executives, and only 6% reported…
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Field-tested tactics on AI lead generation, appointment setting and Pay-Per-Result growth — from the team behind 50,769+ booked sales calls.
Most organisations wait two to four years for satisfactory ROI on a typical AI use case, according to Deloitte’s 2025 survey of 1,854 executives, and only 6% reported…
Read moreAI to reduce management overhead works on three tasks Gartner names: scheduling, reporting and performance monitoring. It cannot take the weekly check-in. Gallup found about seven in 10…
Read moreEmployees who use AI save roughly 1 to 2 hours a week: 5.4% of work hours in a US survey of more than 10,000 people, and 2.8% in…
Read moreTo sell more to existing customers with AI, rank upsell triggers by how clearly each customer signalled need, then reach them inside that window. Our rule: within an…
Read moreGrow revenue without adding headcount by tracking revenue per loaded FTE (employees, contractors, oversight hours) and pulling levers that leave that denominator flat. Pricing first: in McKinsey’s 2003…
Read moreMost AI pilots stall at the production gate because nobody can state the result in dollars the budget approver owns. Gartner found only 48% of AI projects reach…
Read moreAI increases revenue four ways: converting more of the demand you already pay for, selling more to existing customers, realising more of the price you quote, and keeping…
Read moreStart AI back office automation with high-volume tasks that already carry a unit cost and have no customer on the other end: expense-report checks, bank reconciliation and invoice…
Read moreAutomate the enquiry-to-first-contact handoff first. It is the only revenue operations handoff every record crosses, and it decays in hours: in Harvard Business Review research, 23% of 2,241…
Read moreWe only get paid when booked sales calls land. Let’s map what that looks like for your business.
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The thesis behind everything we do
Leads Now AI is a 100% Pay-Per-Result marketing agency. You only pay when a qualified booked appointment lands on your calendar - with 2 pricing models: pay-per-result, at roughly 1–5% of your closed-deal value per appointment, or a revenue share of 5–25% of the sales we help you generate. Both bill on outcomes. Not on clicks. Not on lead-form fills. Not on retainer months. Not on “strategy hours.” If the calendar stays empty, you owe zero. See full pricing →
The agency only succeeds when you succeed. We eat the cost of bad ad creative, bad lists and no-shows. You never pay for our learning curve.
Only an agency confident in its delivery can operate this model. The pool of Pay-Per-Result agencies is tiny precisely because most agencies can’t survive on it. Pick from the agencies who can.
Priced as a share of the revenue we generate, your acquisition cost stays sustainable across LTV bands. A $500-membership business and a $50,000-engagement business can both run the model profitably.
The standard engagement carries no monthly retainer - nothing arrives on your invoice regardless of outcome. No 6 or 12-month lock-in, no clawback on appointments already delivered, cancel any time with 14 days notice. Early-stage businesses that need the sales systems built first are quoted scoped groundwork up front, never a standing fee.
Test before commitment. A small scope-based setup fee covers hard build costs; everything after that is purely outcome-linked. There’s no “we’ll see how it performs after $30k of spend.”
If nobody books, or none of your meetings show, we eat the cost. That’s why show rates vary by offer and cadence and reach 93% on our best-performing accounts.
A fully-ramped human SDR produces on the order of $200,000 a year. They work one conversation at a time, sleep, take leave, and cap out at a territory. Our agents work every lead in the list in parallel - responding in seconds, following up indefinitely without getting bored, and adding capacity without adding headcount.
At 100 qualified booked appointments a month against a $5,000 average deal value, that is $500,000 of booked pipeline every month - roughly what one SDR produces in two and a half years.
Read that precisely: booked pipeline means appointments multiplied by your average deal value. It is not closed revenue - closing is your side of the table, and your close rate decides what lands. The inputs above are a worked example; we size them to your actual deal economics before quoting. What we can evidence on our own numbers: 50,769+ appointments delivered since 2017, database reactivation converting 4.4–8.9% on dormant CRM lists, and show rates that vary by offer and reminder cadence - up to 93% on our best-performing accounts.
The proof: 50,769+ AI-booked sales appointments delivered since 2017 across coaches, consultants, RTOs, course creators, finance brokers and B2B service firms in Australia, USA, UK, Canada, NZ and Europe. Named clients include Sam Tajvidi (121 Brokers), Marcus Wilkinson (Iron Body), Foundr, SheSells.online and Lambda Academy. Wikidata Q139846230. See full Pay-Per-Result pricing →