Building a Residential Solar Division From Zero to $13.7M
How Simple Tree Digital helped a Virginia solar company owned by a household-name utility brand build its residential solar division from the ground up — 270+ installs in back-to-back years, powered by a diversified lead mix of organic search, Facebook, and Google Ads.
2026 Results Update and Live Look
A live look at how this system is performing right now, plus a narrated walkthrough of the same organic, paid, and AI-booking channels covered in this case study across other active accounts.
The Situation
This client — a Virginia solar company owned by a household-name utility brand — came to Simple Tree with a residential solar division that didn't exist yet in any real, scalable form. There was brand trust — a name that carries real weight with Virginia homeowners — but no repeatable system for turning that trust into installed systems. Early lead volume came from a national vendor whose contacts were shared with 6 to 8 other solar companies at the same time. Close rates sat below 8 percent, and nobody could tell whether a slow month was a lead-quality problem or a sales-execution problem, because no attribution existed to separate the two.
The mandate wasn't "run some ads." It was to build the residential division's entire lead-generation engine from the ground up: the tracking, the channel mix, the follow-up system, and the organic foundation that would let the division scale past whatever a single paid channel could deliver on its own.
The core problem: Shared leads create an attribution black box. You can't optimize what you can't measure, and you can't measure when contacts arrive from a vendor who won't tell you what else they're doing with those names.
Our Approach
Phase 1: Attribution before anything else
The first thing we did was build an attribution model. Before running a single ad, we connected GHL to their sales process so every contact was tagged by source, and every stage move was time-stamped. After 60 days we had a before-state baseline: what the close rate was by lead type, how long the average sale cycle ran, and what a realistic cost-per-closed-deal looked like on the existing vendor leads.
Phase 2: Diversified exclusive lead channels
Instead of leaning on one platform, we built the division's lead flow around three independent, exclusive sources from day one: Google Ads (search plus Performance Max retargeting), Facebook, and organic. Each channel behaves differently and breaks differently, so when one platform has a soft week, the other two keep the pipeline moving. The Google side alone ran a dedicated PMax retargeting campaign with the parent utility's branded creative — "Go Solar With Us," "Home Solar Backed By a Name You Already Trust" — converting warm site visitors at a 6.5%+ conversion rate and roughly $6.43 per conversion.
On Facebook, we ran education-first creative that explained net metering, solar financing, and the specific utility savings available to ratepayers of the parent brand who went solar — turning cold traffic into booked consultations without ever competing with the Google and organic channels for the same lead.
Phase 3: AI follow-up automation
Speed-to-lead was the biggest lever we pulled. The first SMS from the AI booking system goes out within 5 minutes of a lead submitting. Before we implemented this, the average first contact time was over 4 hours. We compressed it to under 5 minutes. That change alone moved connection rates from 31 percent to 62 percent on new leads, according to the CRM data from the first 90 days of the AI system running.
Phase 4: Keyword strategy and organic SEO buildout
Halfway through year one, we began building the organic layer with a keyword strategy built in three tiers:
- Head terms like "solar company virginia" and "solar panel virginia" — high competition, high volume (6,600 and 720 monthly searches respectively), used to anchor domain authority on the core /solar/virginia/ hub page.
- City and submarket terms like "solar panels richmond," "solar company richmond," and "solar virginia beach" — lower competition, high buyer intent, each mapped to its own dedicated city page inside the Virginia service area.
- Incentive and education terms like "virginia solar incentives," "virginia solar panel tax credit," and "srecs virginia" — these capture homeowners earlier in the research phase, before they're comparing installers, and funnel them into content that explains net-metering and SREC economics for the parent utility's service territory specifically.
We paired that with Google Business Profile optimization, a review-velocity system, and city/service pages covering the full Virginia service territory. This layer didn't produce significant lead volume in year one, but by month 18 it had become the division's second-highest lead source by volume and its lowest cost per lead by far — and today the division holds the #1 ranking on a majority of its tracked Virginia solar keywords.
The Outcome
Over 24 months, we tracked $13.7 million in closed revenue directly attributed to campaigns we ran, and the division completed 270+ residential solar installs in back-to-back years — a division that, before this engagement, had no scalable residential pipeline at all. The sales team grew from 2 to 6 reps on the back of consistent, predictable lead volume across three independent channels. Cost per lead stayed competitive for the Virginia market throughout both years, and kept improving as the organic layer matured.
The team's reflection at the end of year two was that the biggest change wasn't the leads themselves — it was that a division built from scratch now had a real, diversified engine instead of a dependency on one vendor or one platform. When a month was slow, they could look at the attribution data and identify whether it was a platform issue, a creative issue, or a closing issue. That visibility is what let them keep installing at volume in back-to-back years instead of riding the boom-and-bust cycle that shared-lead vendors tend to produce.
What Made This Work
- Full attribution from day one meant every optimization decision was based on actual revenue data, not vanity metrics.
- Exclusive leads removed the shared-vendor competition that was destroying close rates before we started.
- Multi-channel diversification across organic, Facebook, and Google Ads meant one platform having a bad month didn't silence the phone entirely — a structural requirement for hitting 270+ installs two years running.
- AI follow-up automation compressed speed-to-lead from hours to minutes and ran 24/7 without adding headcount.
- A tiered keyword strategy — head terms, city terms, and incentive/education terms — built an organic layer that compounded over time and eventually provided the cheapest leads in the system.
Key insight: The organic layer takes 6–12 months to contribute meaningfully. The companies that start it late always wish they'd started it earlier. The best time to build your solar SEO foundation is the day you sign on for paid campaigns.
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