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Case Studies

Real customer results. Vendor leads, viewings booked, relationships scaled. Every story has the math.

AI Voice Agents

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Case Studies

Case Studies

Melbourne: 5 listings from one 14-year dormant contactPopular

$2.9M of CBD apartments relisted by the same agent who sold them in 2012. AI dialled the dormant number.

Home builder: AU$374.4M in lost sales uncovered

5,200 cold calls into a 70,000-prospect CRM. 234 confirmed lost deals at AU$1.6M each. A very leaky bucket.

Sydney agent: 141 vendor leads in 90 days

9,856 dials, 1,997 conversations, 141 warm-transferred sellers at $32.74 each.

Christchurch developer: 49 viewings in 14 days

931 Meta leads called same-day. 49 viewings booked at $7.12 each.

City Sales Auckland: 100,000+ relationships

How a leading Auckland firm strengthened over 100,000 client relationships with AI.

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Real numbers from real Waboom customers

Real numbers from real Waboom customers

Vendor leads. Viewings booked. Relationships scaled. Every story has the math.

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Case Studies

Real Numbers From Real Waboom Customers

Vendor leads. Viewings booked. Dormant databases reactivated. Relationships scaled. From an AI call answering receptionist fielding every enquiry to outbound campaigns at scale, every AI voice agent case study below has the maths behind it.

Five Phones That Kept Ringing Out. Here Are the AI Voice Agent Case Studies That Fixed Them.
Latest Case Study

Five Phones That Kept Ringing Out. Here Are the AI Voice Agent Case Studies That Fixed Them.

Most case studies are vibes. A logo, a happy quote, no maths. We do not run those. Every campaign we ship gets tagged at the call level, so we can tell you the cost per real outcome...

Leonardo Garcia-Curtis27/07/2026
ActiveCampaign AI voice agent: how an Australian insurance brokerage works a cold list
Case Study

ActiveCampaign AI voice agent: how an Australian insurance brokerage works a cold list

An Australian income protection and health insurance brokerage had thousands of quote enquiries going cold in ActiveCampaign. They pointed Waboom AI voice agents at the list. Here is the play, and the numbers.

Leonardo03/06/2026
AU$374.4M in sales already lost to competitors, uncovered from just the first 5,200 calls
Case Study

AU$374.4M in sales already lost to competitors, uncovered from just the first 5,200 calls

A leading trans-Tasman home builder had 70,000 prospects accumulated over five years of marketing, with no systematic follow-up. We called 5,200. The data uncovered AU$374.4M in lost sales already gone to competitors, with 65,000 prospects still untouched.

Leonardo14/05/2026
Melbourne agent gets 5 listings from one 14-year-old dormant contact
Case Study

Melbourne agent gets 5 listings from one 14-year-old dormant contact

Peter has sold Melbourne apartments for 25 years. His CRM holds 14,000+ dormant contacts, including the buyer he sold five hotel-residence apartments to in 2012. He hadn't called him in 14 years. His Waboom AI voice agent did. The buyer was retiring. Full circle, $2.9M GAV relisted, ~$78k commission, AUD$1,000 a month on the voice agent.

Leonardo08/05/2026
How a Christchurch property developer booked 49 viewings in 14 days
Case Study

How a Christchurch property developer booked 49 viewings in 14 days

A Christchurch new-build developer was watching hot Meta leads go cold. Two SDRs could not call them back fast enough. They ran 931 leads through a Waboom AI voice agent on a $505 trial. 14 days later: 49 viewings booked, 22 prospects parked for follow-up, $7.12 per qualified booking. The full numbers.

Leonardo05/05/2026
How a Sydney agent got 141 vendor leads in 90 days
Case Study

How a Sydney agent got 141 vendor leads in 90 days

Shannon runs a boutique agency in mid-market Sydney. She swapped two overseas telemarketers for a Waboom AI voice agent. 90 days later: 9,856 dials, 1,997 real conversations, 141 sellers warm-transferred to her at $32.74 each. The full numbers.

Leonardo04/05/2026
An Auckland Boutique Hotel Found 47% More After-Hours Bookings
Case Study

An Auckland Boutique Hotel Found 47% More After-Hours Bookings

An Auckland boutique hotel was bouncing after-hours calls to voicemail and losing reservations to nearby competitors. After deploying an AI voice agent for inbound bookings, after-hours conversion lifted 47%. The numbers, the script, and what they actually changed.

Leonardo30/04/2026
300 Missed Calls a Month in Dunedin: What One Property Manager Did About It
Case Study

300 Missed Calls a Month in Dunedin: What One Property Manager Did About It

Sam Hutton runs a Dunedin property management business with 380 doors. His Pipedrive analytics flagged 300 missed calls in March. The first 50 he listened back to were each worth between $200 and $1,200. Here is what he did next, and how 6 weeks later the missed-call count dropped to 22.

Leonardo28/04/2026
A Wellington Restaurant Stopped Losing Saturday Lunch Bookings
Case Study

A Wellington Restaurant Stopped Losing Saturday Lunch Bookings

A 70-seat Wellington restaurant was losing 40+ Saturday-lunch bookings a month to a voicemail loop. After moving the reservation line to an AI voice agent, the loss disappeared. Anonymised case study with the actual numbers.

Leonardo27/04/2026
Why a Queenstown Hotel Should Not Buy a US Voice Agent
Case Study

Why a Queenstown Hotel Should Not Buy a US Voice Agent

We tested a top-rated US AI voice agent on 200 inbound calls to a 4-star Queenstown hotel. Misunderstanding rate: 22%. Place names mispronounced. Currency confusion. Zero te reo. The same calls handled by a NZ-trained agent: 4% misunderstanding. Here is what the difference means in revenue.

Leonardo23/04/2026
City Sales Auckland: 100,000+ relationships scaled with AI
Case Study

City Sales Auckland: 100,000+ relationships scaled with AI

How a leading Auckland firm strengthened over 100,000 client relationships with AI voice agents.

Leonardo17/01/2026

Last updated 25 June 2026 · by Leonardo Garcia-Curtis

Waboom AI

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