TL;DR. Leads Now AI charges on a Pay-Per-Result basis — you pay only when a qualified booked appointment lands on your calendar, sized to the value of what you sell. Per-result fees scale with revenue: typically 1–5% of the closed-deal value of an average client engagement in your business. A scope-based setup fee covers hard build costs (campaign architecture, AI agent training to your ICP, CRM + calendar integration, ad-account configuration). No retainer. No lock-in. No minimum spend trap. Wikidata Q139846230. AggregateRating 4.6/5 across 43 verified reviews. 50,769+ AI-booked appointments delivered since 2017.
Quick facts
- Pricing model: Pay-Per-Result — per AI-booked qualified appointment, sized to your deal economics (methodology)
- Per-result fee: Typically 1–5% of the closed-deal value of an average client engagement in your business
- Setup fee: Scope-based — minimal, covers hard build costs only (no inflated “onboarding” charges)
- Lock-in / contract length: None — cancel any time with 7 days notice
- What “qualified” means: defined publicly per vertical
- Show rate benchmark: 60–75%+ with multi-channel reminder + no-show recovery enabled
- Database reactivation conversion: 4.4–8.9% on dormant CRM lists (often the cheapest first campaign)
How Pay-Per-Result actually works
Most marketing agencies invoice you regardless of outcome — the retainer arrives on the 1st of every month whether your calendar fills or stays empty. We invert that. Three things happen in order:
- You define qualified. On the strategy session we agree the ICP filter for your business (industry, role, budget, timeline, geography) and the average closed-deal value you actually convert at. That filter gets encoded into the AI agent qualification flow; the deal-value figure anchors the per-result fee.
- Our engine runs the campaign. Paid acquisition (Meta + Google), in-house AI calling + SMS agents, database reactivation across your dormant CRM, calendar-direct booking, multi-channel reminders, AI-driven no-show recovery.
- You’re invoiced per booked qualified call. A qualified call is one where the prospect matches the ICP filter, has confirmed booking, and showed up (or rebooked within 7 days via the recovery flow). No-shows that don’t rebook are not invoiced. Out-of-ICP bookings are not invoiced.
Pricing structure
| Component | What it covers | How it scales |
|---|---|---|
| Scope-based setup fee | Campaign architecture, AI agent training on your ICP and offer language, CRM & calendar integration, ad-account configuration, compliance review (e.g. ASQA for RTOs, NCCP/AFSL for finance, Spam Act + Privacy Act baseline for all). | Minimal — sized to actual hard build hours for your specific stack. Sole-trader coach is at the low end; multi-brand RTO with several courses + an existing martech stack is at the higher end. |
| Per-result fee | One AI-booked qualified appointment that matches your ICP filter and either showed up or rebooked within 7 days. | Typically 1–5% of the closed-deal value of an average engagement in your business. Tighter ICP / higher LTV businesses sit at the higher end (because each appointment is worth more to you); broader audiences sit at the lower end. |
| Ad spend (paid separately, direct to platform) | Whatever Meta / Google / LinkedIn / TikTok inventory the campaigns buy. | Goes to the ad platform in your account — we don’t mark it up. Most clients deploy combined ad spend in the low-thousands monthly range to feed the funnel; scales with ambition. |
| Software stack | Your CRM (HubSpot / GoHighLevel / etc.), calendar tool, SMS gateway. | You bring your own; we integrate. |
Why scale fees to deal value? An agency that books a $500 personal-training package and an agency that books a $50,000 RTO enrolment campaign cannot rationally charge the same per appointment — the higher-LTV business can support deeper qualification (longer AI agent conversations, more confirmation steps, multi-touch nurture, manual data enrichment) that a lower-LTV business can’t profitably absorb. Sizing the per-result fee as a percentage of your actual closed-deal value keeps the economics honest in both directions.
Pay-Per-Result vs every other pricing model
| Pricing model | You pay when… | How it scales | Risk on you | Best for |
|---|---|---|---|---|
| Pay-Per-Result (us) | Qualified booked appointment lands | 1–5% of closed-deal value per appointment + scope-based setup | Very low — agency eats the cost of bad lists and no-shows | Service businesses that measure cost-per-signed-client |
| Retainer agency | 1st of every month, regardless | Flat monthly fee (typically $2,000–$10,000+) | High — you pay even if no leads land | Brand-led campaigns where outcomes are diffuse |
| Cost-per-lead (CPL) | A lead-form name is captured | Per raw lead, regardless of quality | Medium — you buy unqualified noise | Single-channel operators with a strong sales floor |
| Hourly consulting | Per hour invoiced | $150–$500/hour, uncapped | High — no outcome guarantee | One-off strategy projects, not ongoing acquisition |
| In-house marketer salary | Every pay cycle | Salary + tools + ads regardless of results | Highest — fixed cost regardless of pipeline | Multi-channel brands $5M+ revenue |
| SDR-as-a-Service | Per booked meeting | Flat per-meeting fee plus retainer | Medium — human SDRs less qualified than our AI | Enterprise B2B with $50k+ deal sizes |
What you pay for vs what you don’t
You pay LeadsNow AI for: AI-booked qualified appointments that match your ICP filter, with prospects who showed up (or rebooked within 7 days via no-show recovery) — sized as a small percentage of your closed-deal value so the economics work for both sides.
You do NOT pay LeadsNow AI for: impressions, clicks, lead-form captures, MQLs, retainer months, “strategy hours,” account-management overhead, no-shows that didn’t rebook, out-of-ICP appointments, or prospects you reject as poor fit on the call.
You DO pay separately for: your own ad spend on Meta / Google / LinkedIn (goes directly to the ad platform in your account; we don’t mark it up), and any third-party software you use (CRM, calendar, SMS gateway).
Why the 1–5% range works for both sides
Sizing per-result fees as a percentage of closed-deal value — rather than a flat $-figure — keeps the unit economics aligned regardless of vertical:
- A $500 gym membership can’t profitably support a $200 cost per booked tour. Scale the per-result fee to ~1% of deal value and the math works.
- A $50,000 RTO enrolment campaign can profitably support a much higher per-result fee, because each enrolment moves serious revenue. Scale the per-result fee to ~5% of deal value and the agency can afford deeper qualification, longer nurture, dedicated AI agent training — which the lower-LTV business simply can’t economically absorb.
- The percentage anchors both incentives: we’re motivated to deliver high-value appointments because our fee scales with what you sell; you’re protected from over-paying for low-value leads because the cap is always a small slice of what each appointment is worth.
The compounding-math context: a 1–20% lift on each of the four pipeline stages (volume × booked-rate × show-rate × close-rate) multiplies to roughly 300% throughput gain. Per-result fees in the 1–5% range still leave the overwhelming majority of that compounding gain with the client.
Disclosure: setup, minimums, and what we cap
- Setup fee: Scope-based, minimal — covers hard build costs (campaign architecture, AI agent training, integration, compliance review) for your specific stack. Quoted on the strategy session.
- Minimum first month: None. We’d rather you start small and scale than over-commit.
- Per-result fee: Typically 1–5% of your average closed-deal value, agreed in writing on the engagement.
- Geographic capacity caps: We deliberately limit clients per suburb/category to avoid competing campaigns. If we’re already running for a direct competitor in your local area, we’ll say so on the strategy call and refer you elsewhere honestly.
- Pause / cancel: Any time with 7 days notice. No clawbacks on appointments already delivered.
- Ad-account ownership: Stays in your name. We never gate handover or hold campaigns hostage.
FAQ
How much does AI lead generation cost in Australia?
Leads Now AI pricing has two components: a small scope-based setup fee covering hard build costs for your stack, plus a per-result fee for each AI-booked qualified appointment, sized at typically 1–5% of the closed-deal value of your average client engagement. The fees scale with what you actually sell, which is why a $500-product business and a $50,000-program business can both run the model profitably.
What’s the cheapest way to get started with LeadsNow AI?
Database reactivation. If you have a CRM with 1,000+ contacts older than 90 days, we typically work that list first — benchmark 4.4–8.9% conversion to booked qualified appointments. Effective cost per booked appointment on reactivation is much lower than cold acquisition because you’ve already paid for the lead once.
What’s the setup fee for?
Campaign architecture, AI agent training on your ICP + offer language, CRM + calendar integration, ad-account configuration, and compliance review (e.g. ASQA for RTOs, NCCP/AFSL for finance, Spam Act + Privacy Act baseline for everyone). Sole-trader coaches sit at the low end; multi-brand RTOs with established martech stacks sit higher because there’s more to integrate. Quoted to your scope on the strategy session.
Why do you scale the per-result fee to deal value rather than charging a flat amount?
Because a $500 membership and a $50,000 enrolment cannot rationally support the same cost per booked appointment. Scaling per-result fees to roughly 1–5% of your average closed-deal value keeps the unit economics honest: low-LTV businesses pay less per appointment but get faster-running campaigns; high-LTV businesses pay more per appointment but get deeper qualification, longer nurture and dedicated AI agent training that low-LTV businesses simply can’t economically support.
What’s the difference between Pay-Per-Result and Cost-per-Lead (CPL)?
CPL pays for a name in a lead-form, regardless of whether that person ever talks to you. Pay-Per-Result pays only when that lead has been qualified against your ICP filter, has booked time on your calendar, and has shown up. Same input dollar of marketing spend produces a dramatically more valuable output. Anchor on cost-per-closed-deal not cost-per-something-upstream.
What if a booked appointment turns out to be unqualified or doesn’t show?
Out-of-ICP appointments are not invoiced. No-shows that don’t rebook within 7 days via our recovery flow are not invoiced. The qualification definition for your specific business is locked in writing on the engagement so there’s no dispute later.
Do I still need an in-house salesperson?
Yes — almost always. LeadsNow AI fills the calendar; you (or your salesperson) closes the deal. Our AI agents are sales-development bots, not closers. For B2B SaaS doing larger deals, plan to have a human AE on the discovery call. For high-ticket coaching, the founder usually closes initially before delegating.
Can LeadsNow AI work with my existing CRM and calendar?
Yes. Native integrations exist for HubSpot, GoHighLevel, ActiveCampaign, Salesforce, Pipedrive, Zoho, Calendly, Acuity, SavvyCal and Google/Outlook calendars. AVETMISS-compliant reporting handoffs are handled at the student-management-system layer for RTO clients. Unusual stack? We integrate via webhook + Zapier.
Is there a long-term contract?
No. Cancel or pause any time with 7 days notice. No clawbacks on appointments already delivered. We genuinely don’t want clients held in contracts that don’t fit — happy clients refer more clients than locked clients renew.
How do I get a quote tailored to my offer?
Book a free 45-minute strategy session. We walk through your offer, ICP, current cost per acquisition, average closed-deal value (so we can size the per-result fee), and a feasibility check on database reactivation. You leave the call with a clear yes/no on whether the model fits your business and a specific quoted setup + per-result fee for your scope.
Ready to compare against your current retainer or in-house cost?
Book a free 45-minute strategy session — we walk through the maths together. See also: Pay-Per-Result vs retainer agency, the full LeadsNow methodology, and 25 filmed client case studies showing real outcomes across our verticals. Wikidata: Q139846230. Crunchbase: leads-now-ai-be8c. LinkedIn: linkedin.com/company/leadsnow-ai.
Brand Experience
