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By Benchmarketing Research Team Reviewed by Performance Marketing Editorial Reviewed March 2026 · observations Q1 2023 – Q4 2024Solar Google Ads averages · all service types · 2026
2.44%
Avg CTR, solar Google Ads
Community solar achieves the lowest CPL ($58 median) because the product requires no capital investment or homeownership, expanding the addressable audience. Residential installation sits at $84 median — the primary revenue driver for most solar companies. Commercial solar carries the highest CPL ($136 median) due to longer sales cycles and B2B targeting complexity, but average deal values of $150,000–1,000,000+ make it the highest absolute ROI category for companies with commercial sales teams. Solar + battery storage CPL is rising as demand for energy resilience increases.
| Segment | Median CPL | P25 | P75 | Elite |
|---|---|---|---|---|
| Residential Solar Installation | $84 | $52 | $144 | <$40 |
| Solar + Battery Storage | $104 | $64 | $176 | <$48 |
| Commercial Solar | $136 | $84 | $228 | <$64 |
| Solar Financing / Lease | $72 | $44 | $124 | <$32 |
| Solar Roof (Tesla Powerwall etc.) | $116 | $72 | $196 | <$54 |
| Community Solar | $58 | $36 | $98 | <$26 |
Lower CPL is better. Elite = top 10% of accounts by CPL efficiency. All figures are cost per qualified lead (homeowner, expressed interest in a quote, valid phone or email provided).
P25
$52
Median
$84
P75
$144
Elite
<$40
Solar + Battery Storage $104 medianP25
$64
Median
$104
P75
$176
Elite
<$48
Commercial Solar $136 medianP25
$84
Median
$136
P75
$228
Elite
<$64
Solar Financing / Lease $72 medianP25
$44
Median
$72
P75
$124
Elite
<$32
Solar Roof $116 medianP25
$72
Median
$116
P75
$196
Elite
<$54
Community Solar $58 medianP25
$36
Median
$58
P75
$98
Elite
<$26
Branded search delivers the highest CTR (7.2% median) as users searching your company name are typically referrals or returning visitors. Local solar keywords ('solar panels near me') outperform informational queries by 23%, confirming the value of geographic intent modifiers. Competitor targeting has the lowest CTR (1.4% median) and typically poor conversion quality — it's rarely cost-effective in solar unless you have a specific message about why you outperform the competitor being targeted.
| Segment | Median CTR | P25 | P75 |
|---|---|---|---|
| Branded Search | 7.2% | 4.4% | 12.4% |
| "Solar panels near me" (local) | 3.2% | 2.0% | 5.6% |
| "How much does solar cost" (informational) | 2.6% | 1.6% | 4.4% |
| Competitor Targeting | 1.4% | 0.8% | 2.4% |
| Performance Max | 2.44% | 1.4% | 4.2% |
Higher CTR is better. Performance Max CTR is blended across search, display, and YouTube inventory. Competitor targeting CTR reflects branded competitor keyword campaigns.
LTV justifies CPL — solar leads are worth substantially more than most local services
A residential solar installation generates $15,000–40,000 in revenue per job and a 20–25 year customer relationship. At a 12.4% close rate, a $84 CPL translates to approximately $677 cost-per-installation — under 2% of a $35,000 average residential install. Solar advertisers who evaluate CPL in isolation without reference to customer LTV consistently underinvest. The right framework is cost per installed watt (target under $0.20–0.30 for lead acquisition) or cost per contract signed ($600–1,500 is strong for residential solar). Optimize bids for revenue, not just lead volume.
State solar incentive programs create high-intent geographic concentrations
Solar search volume and conversion rates are not uniform nationally — they cluster around states with strong net metering policies, high electricity rates, and active incentive programs (California, Texas, Florida, New York, Massachusetts, New Jersey, Arizona). Campaigns geo-targeted to high-incentive states with specific ITC (Investment Tax Credit) and state rebate messaging consistently achieve 30–50% lower CPL than national campaigns. Review the DSIRE database (dsire.org) quarterly — state incentive changes create temporary demand spikes that reward fast-moving advertisers with paid search coverage.
Financial framing is the highest-converting ad copy strategy in solar
Solar customers are primarily motivated by financial outcomes: eliminating electricity bills, locking in rates for 20+ years, and tax credit benefits. Ad copy framing that leads with financial outcomes ('Eliminate your $280/month electric bill,' 'Save $48,000 over 25 years') consistently outperforms product-feature copy ('High-efficiency monocrystalline panels,' '25-year warranty'). The 30% federal ITC (Investment Tax Credit) is a specific financial hook that solar advertisers underuse — 'Pay 30% less with the federal tax credit' is a concrete, verifiable claim that reduces purchase hesitation and improves CPL significantly.
Audience targeting eliminates the highest-waste segment: renters
Solar advertising's biggest waste problem is targeting renters, who cannot install panels regardless of intent or interest. In Google Ads, use audience layering with homeowner demographic targeting (available in the 'Detailed Demographics' audience section) as a bid modifier (+40–60%) on all campaigns. In high-renter urban markets, add negative audience lists for renters where the signal is available. For Performance Max campaigns specifically, upload a customer match list of your existing installed customers to seed similar audience expansion in the homeowner demographic. Homeowner targeting alone typically improves solar lead quality by 20–35%.
Target homeowners, lead with financial outcomes, leverage state incentives, exclude non-buyers before they click.
01Target homeowner demographics — solar ads to renters waste budget (they cannot install)
Renters represent the single largest source of wasted spend in solar Google Ads. In Google Ads audience settings, apply homeowner demographic targeting as a +40–60% bid modifier on all campaigns. For Performance Max, upload your customer match list of installed customers to anchor similar audience expansion in the homeowner demographic. In high-renter metro markets (New York City, San Francisco, Chicago core), set location targeting to suburban zip codes with higher homeownership rates. A 5-mile tightening of geo-targeting from metro core to suburban ring can reduce CPL by 25–35% in high-density rental markets by shifting the audience mix toward homeowner intent.
02Use solar savings calculator as lead magnet on landing page
The question every solar prospect is trying to answer is: 'How much will I save, and when will I break even?' A landing page that answers this question with a personalized calculator (inputs: location, average electric bill, roof type) converts at 2–3x the rate of a generic 'Get a Free Quote' form. The calculator also pre-qualifies leads — someone who sees a $42,000 payback calculation and still submits their information is far more qualified than an anonymous form fill. Solar calculator landing pages consistently achieve 15–25% conversion rates vs. 5–8% for standard form pages. Build one, A/B test it against your current page, and allocate all paid traffic to the winner.
03Include ITC (investment tax credit) in ad copy — financial benefit drives intent
The 30% federal Investment Tax Credit is the most powerful purchase motivator in residential solar that most advertisers underuse in ad copy. A homeowner planning a $30,000 solar installation who realizes they'll receive a $9,000 federal tax credit is materially closer to converting. Headlines like 'Save 30% with the Federal Tax Credit — 2026 Eligibility' and 'Qualify for $9,000+ in Federal Tax Benefits' consistently outperform generic 'Clean Energy for Your Home' messaging in A/B tests. Include state-specific incentives where available — stacked incentives (federal + state + utility rebate) are the highest-converting ad copy angle in high-incentive states.
04Geographic targeting should align with state solar incentive programs
Solar conversion rates are directly correlated with state electricity costs and incentive generosity. California (net metering NEM 3.0), Massachusetts (SMART incentive), New Jersey (SREC), Texas (no state income tax on solar savings), and Florida (no sales tax on solar) are high-conversion markets that justify above-average CPL targets. States with low electricity rates and poor net metering (Kentucky, West Virginia, Louisiana) have significantly lower conversion rates and require lower CPL targets to maintain positive ROI. Review state incentive changes quarterly — California's NEM 3.0 transition created both lead volume drops and conversion rate improvements that required budget reallocation within 60 days.
05Exclude existing solar customers using audience suppression lists
Solar customers who have already installed panels are a zero-conversion audience — they cannot install again on the same property (at least not in the near term). Upload your full customer database as a negative customer match list in Google Ads to suppress ads to existing customers across all campaigns. This is especially important for Performance Max, which will otherwise target your existing customers with discovery ads and waste budget at scale. Beyond customer suppression, exclude audiences with recent solar panel purchaser behavior signals (available in Google Audience categories) and create a negative audience list for users who spent significant time on your confirmation/thank-you pages.
Residential solar CPL ranges from $52 (P25 — top-quartile performers) to $144 (P75 — bottom-quartile performers), with a $84 median. Elite accounts achieving sub-$40 CPL do so through homeowner audience targeting, ITC-focused ad copy, high-quality landing pages with solar savings calculators, and disciplined negative keyword management (excluding renters and informational queries). Evaluate CPL against your close rate: at 12.4% close rate, a $84 CPL is $677 per installation — less than 2% of a $35,000 average system value. Residential CPL is justified up to roughly $150 for well-qualified leads in high-value markets. Community solar achieves the lowest CPL ($58 median) because the commitment is lower and no homeownership is required.
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These benchmarks are drawn from a multi-source benchmark cohort aggregated across industries and regions, covering the period Q1 2023 – Q4 2024. Figures on this page come from the Benchmarketing benchmark dataset: thousands of curated benchmark observations spanning channels, industries, and US metro areas, refreshed on a published schedule. Every statistic traces to a named source — no anonymous “studies show.” Data is sourced from:
The Benchmarketing 4-Band Method reads every marketing metric against four percentile bands — P25 (bottom quartile), median, P75 (top quartile), and elite (top ~10%) — for a specific industry and channel, instead of a single cross-industry average. Averages blend brand and non-brand campaigns, $500/month and $500,000/month accounts, and unrelated industries into a number almost nobody actually has.
Benchmarks reflect median values across large sample sets. Your industry, business model, and account maturity will cause variation. Use P25/P75 ranges to understand realistic distribution.
Read full methodologyWritten by
Benchmarketing Research Team
Data & Analytics
Reviewed by
Performance Marketing Editorial
Senior Review
Last updated
Reviewed March 2026
Observation period: Q1 2023 – Q4 2024
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