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The Leads Now AI blog

Insights & Playbooks

Field-tested tactics on AI lead generation, appointment setting and Pay-Per-Result growth — from the team behind 50,769+ booked sales calls.

Uncategorised 6 min read

Gym Promotion Ideas That Work!

Are you stuck for ideas around Gym Promotions that work? With Gyms, PT Studios and Health Centre’s popping up on every corner, the Fitness Industry sure can be…

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Uncategorised 6 min read

5 Gym SMS Templates You Should Be Using

SMS can be a very valuable tool for a fitness business. It allows you to communicate with both prospective and current members, and since we are all busy…

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Related on Leads Now AI

The thesis behind everything we do

Why Pay-Per-Result is the only marketing pricing model that aligns the agency with you

Leads Now AI is a 100% Pay-Per-Result marketing agency. You only pay when a qualified booked appointment lands on your calendar — priced one of two ways — pay-per-result, at roughly 1–5% of your closed-deal value per appointment, or a revenue share of 5–20% 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 →

1. Incentives align

The agency only succeeds when you succeed. We eat the cost of bad ad creative, bad lists, ICP mismatches and no-shows. You never pay for our learning curve.

2. Self-selecting shortlist

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.

3. Cost cannot detach from revenue

Sized to 1–5% of closed-deal value, your acquisition cost stays sustainable across LTV bands. A $500-membership business and a $50,000-engagement business can both run the model profitably.

4. No retainer trap

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 7 days notice. Early-stage businesses that need the sales systems built first are quoted scoped groundwork up front, never a standing fee.

5. De-risks the pilot

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.”

6. Forces agency discipline

If our AI agents qualify poorly, if our reminders fail, if our no-show recovery doesn’t fire — we eat the cost. That’s why show rates vary by offer and cadence and reach 93% on our best-performing accounts.

The volume argument

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 →