Solar Hub NZ came to us with a common problem: they were spending $14,000 a month on ads and getting plenty of form fills, but fewer than 1 in 5 leads were actually qualified for a residential solar installation. Their sales team was drowning in tyre-kickers, and the cost per installed system had crept above $1,200. They needed a solar lead generation system for the New Zealand market that prioritised quality over volume.
This is the story of how we rebuilt their entire acquisition and qualification engine from the ground up — and how that full-stack approach compounded into a 3.8× increase in qualified pipeline within nine months.
The Challenge — Quality Over Quantity
When Solar Hub NZ first engaged with us in June 2025, their numbers told a frustrating story. Monthly ad spend sat at $14,200 across Meta and Google. They were generating around 320 form submissions per month, but only 58 of those (18%) passed basic qualification — owning the property, having a suitable roof orientation, and being within their service area.
Their two-person sales team was spending the first 15 minutes of every call just figuring out whether the prospect was worth talking to. Close rates on qualified leads were decent at 31%, but the sheer volume of unqualified conversations meant reps were burning out and follow-up was inconsistent.
The real problem was not the ads. The problem was that nobody had designed the system between ad click and closed deal. Solar leads in New Zealand require careful qualification — roof type, ownership status, shading, geographic eligibility, and budget alignment all need to be confirmed before a rep invests time in a site assessment.
The Strategy — Building a Full-Stack Growth System
We proposed a three-phase approach that would address the funnel from top to bottom. Rather than just optimising ad creative and hoping for better leads, we would build infrastructure that filtered, qualified, and routed leads automatically — so that by the time a rep picked up the phone, they already knew the prospect was a strong fit.
The three phases rolled out over the first 12 weeks:
Phase 1 — Ad Infrastructure (Meta + Google Setup)
We restructured Solar Hub's paid media from the ground up. On Meta, we moved away from broad awareness campaigns toward a layered intent strategy. We built three campaign tiers: a top-of-funnel educational layer targeting homeowners in high-solar-yield regions (Waikato, Bay of Plenty, Hawke's Bay, Canterbury), a mid-funnel retargeting layer for people who engaged with solar content, and a bottom-funnel layer with strong offers for people who had visited the pricing page or started a quote.
On Google, we rebuilt their search campaigns around commercial-intent keywords specific to solar marketing in NZ. We paused broad match terms that were eating budget (like "solar panels" which attracted students and DIY researchers) and focused on high-intent phrases with geographic modifiers. We also launched a Performance Max campaign using first-party conversion data from the CRM.
Crucially, we replaced their generic landing page with three region-specific pages, each featuring local testimonials, region-appropriate savings calculations, and a multi-step qualification form that gathered key information upfront. The form asked four qualifying questions before requesting contact details — filtering out unqualified traffic before it ever became a "lead."
Phase 2 — CRM & Automation Build-Out
In parallel, we built a custom CRM workspace that matched Solar Hub's actual sales process. Previously, every form fill landed in the same inbox. Now, leads flowed through an automated scoring model that assigned points based on property ownership (verified via public records API), roof orientation (self-reported in the form), location within service area, estimated power bill, and timeline to purchase.
Leads scoring above 65 points were tagged "Sales Ready" and routed directly to a rep with a pre-populated brief. Leads between 40-65 entered a nurture sequence — a five-email educational series about solar ROI in their specific region. Leads below 40 received a polite "not a fit right now" message with a link to educational resources.
We also built automated SMS sequences triggered by specific behaviours: a lead who opened the ROI calculator email three times got an immediate text offering a callback. A lead who clicked "financing options" received a personalised payment plan within 60 seconds.
Phase 3 — AI Conversion Engine (Voice AI + SMS + Chatbot)
The third and most transformative piece was the introduction of what we now call the AI Conversion Engine — a Voice AI agent, an SMS responder, and a website chatbot all wired into the same CRM. For every new lead, a Voice AI agent placed an outbound call in under one minute of form submission. If the lead did not pick up, an SMS thread opened automatically, and the chatbot stayed live on the website to handle anyone who came back to research further.
The Voice AI confirmed property ownership, asked about roof condition and orientation, verified the power bill range, and gauged timeline. Conversations typically lasted 90 seconds to three minutes. If the lead qualified, the AI booked them directly into a rep's calendar with all qualification data attached. If they did not qualify, the AI politely explained why and offered to add them to a waitlist.
This layer achieved two critical outcomes. First, it eliminated the 15-minute qualification dance from every sales call — reps now picked up the phone knowing the prospect was pre-qualified and seeing their specific situation data. Second, it collapsed speed-to-lead from hours to under one minute. Research shows that calling within five minutes makes you 21 times more likely to qualify a lead than calling at 30 minutes. The AI Conversion Engine guaranteed sub-one-minute first contact on every single lead, 24/7.
The Results — 9 Months of Compounding Growth
The compounding effect of all three layers working together produced results that exceeded our projections:
- Lead-to-appointment ratio: 44% → 88% — effectively doubled, because the Voice AI booked qualified leads straight into the rep's calendar instead of leaving it to manual follow-up
- Qualified pipeline: 3.8× increase — from 58 qualified leads/month to 221 qualified leads/month by month nine
- Cost per qualified lead: down 54% — from $245 to $113, despite increasing total ad spend to $18,400/month
- Cost per installed system: down 41%
- Speed to first contact: from 4.2 hours average to under 1 minute — Voice AI dials the lead the moment the form hits the CRM
- Sales team capacity: handled 3.8× the qualified volume with the same two reps, because qualification and booking were handled before human contact
The total revenue impact over nine months was an additional $1.87M in contracted installations on a combined media and systems spend of $196,000 — a 9.5:1 return.
Key Takeaways for Solar Companies
If you are running solar lead generation in New Zealand and struggling with lead quality, here are the principles that made this system work:
- Qualify before the form, not after. Multi-step forms that ask qualifying questions before requesting contact details filter out poor fits at zero cost. Your CPL might look higher, but your cost per qualified lead drops dramatically.
- Speed-to-lead is not optional. In solar, the prospect is comparison-shopping at the moment they submit the form. A Voice AI agent calling in under one minute — backed up by SMS and a website chatbot — captures attention before competitors even send an email.
- Region-specific messaging matters. Solar economics differ significantly between Auckland, Waikato, and Canterbury. Landing pages that show local savings figures and local testimonials outperform generic national pages by 2-3× in our testing.
- Build the system between the click and the close. Most solar companies optimise ads OR build a CRM OR add automation. The compounding effect comes from all three layers working together. A qualified lead that receives instant contact, personalised follow-up, and pre-populated rep briefs closes at a fundamentally different rate.
- Let AI handle the "maybe" zone. The leads between obviously qualified and obviously unqualified are where the most value hides. An AI agent can process these at scale and surface the gems your reps would never have time to reach.
Conclusion
Solar Hub NZ's transformation was not about finding a magic ad creative or a secret audience. It was about building a system where every component reinforced the others — where better ads fed better data to the CRM, where the CRM enabled faster and smarter follow-up, and where AI qualification ensured that human time was spent only on conversations most likely to close.
If you are a solar company generating leads in New Zealand and your sales team is spending more time qualifying than selling, the bottleneck is not your ads. It is the infrastructure between the ad and the sale. That is exactly what we build at OneAdsphere.
Editor's update — May 2026
The Voice AI + SMS + chatbot stack we built for Solar Hub NZ is now packaged as our AI Conversion Engine, and it runs underneath every client we onboard — whether that's solar, insurance, mortgage, or real estate. It is also what allows us to move from old per-lead pricing to a single, outcome-aligned model: $150 + GST per confirmed appointment, with the AI Conversion Engine doing the heavy lifting between the ad click and the booked call. You are not paying for raw form fills any more — you are paying for qualified humans on your calendar.