Create powerful quote requests, savings calculators & lead funnels for your solar company in no time — with AI, no tech skills needed

In solar sales, lead quality decides the margin. An on-site appointment quickly costs 200 to 400 euros including travel, measurement and quote preparation — anyone driving out to every inquiry burns money. At the same time, subsidy schemes, electricity prices and module availability are as volatile as rarely before, which increases the consulting depth per appointment. Anyone not pre-qualifying in the funnel who is even buildable and financeable loses senior sales time to tire-kickers.

This is exactly where a multi-step lead form comes in: address with postcode check (service area yes/no), ownership status, rough electricity consumption corridor, approximate roof area and orientation. From this the calculation engine can compute a first economic indication — system size in kWp, investment range, estimated payback period. This indication is not a binding offer, but it noticeably raises the lead level: anyone going through the entire funnel has understood that the matter is numerical and not a free energy consultation. Conditional logic surfaces different follow-up steps for tenants than for owners or for multi-family houses.

Three form types cover the bulk of the solar sales track. First, the solar check as hero funnel on the landing page: postcode, ownership status, roof area, annual electricity consumption — four to five steps, one click each, at the end an interim evaluation with appointment booking CTA. Every second of response time counts here; conditional logic should be minimal so the flow stays fast.

Second, the detailed consultation inquiry for qualified prospects: this includes photo uploads of the roof (drone or smartphone photo), orientation and shading, any pre-existing damage, desired components (storage, wallbox, heat pump). Third, the subsidy pre-check: state-specific, because the subsidy landscape is regionally different (KfW, BAFA, state programmes). A calculation engine can estimate the maximum possible subsidy here — though that is of course not a binding commitment but an orientation. Hidden fields like source (Google Ads, Facebook, referral) help long-term to focus the advertising budget on the truly converting channels.

Solar inquiries are comparatively uncritical in GDPR logic — no health data, no financial data in the narrower sense. But the combination of address, electricity consumption and roof photo is nevertheless a record worth protecting: consumption allows conclusions about household size and lifestyle, the address is personal, the roof photo can under some circumstances allow conclusions about ownership and asset status. A lean, clear data protection notice in the form ("Your information is stored for preparing a non-binding quote and deleted after 6 months unless an order is placed") plus mandatory checkbox usually suffices.

It gets more sensitive with photo uploads: if persons are visible on the roof photo (neighbours, passers-by), the right to one’s own image kicks in. A practical note in the form ("Please make sure no people are recognisable") protects you from later complaints. For drone shots, aviation law comes in, but it primarily affects the drone operator and not the lead recipient. EU hosting of the form tool is mandatory, an existing DPA likewise. Cloudflare Turnstile instead of Google reCAPTCHA saves an additional US data transfer — relevant if you want to position yourself as a privacy-friendly provider.

In solar sales, the data path from lead to signed contract runs through three to four systems: CRM (HubSpot, Pipedrive, Salesforce or industry-specific like EnergyCore), a photovoltaic calculation tool (PV*SOL, Sunny Design, in-house Excel models) and a quote tool or Word template. A native integration of all these tools with a form provider does not exist — what works is the webhook bridge: the form sends the lead data to an intermediate service (Make, n8n), which creates the lead in the CRM, parallel files the calculation inputs in a structured format (CSV, JSON) and, if needed, generates a first standard quote via bridge.

For on-site appointment booking, a calendar integration (Google Calendar, Office 365) makes sense — either via the salon software bridge or via a booking service like Calendly as sub-step. The confirmation email contains ICS attachment, preparation checklist and a link to the solar check in case the customer has not yet filled in everything. When handing over to the calculation tool: the more cleanly the data fields in the form are named, the more deterministic the mapping. A calculation engine in the form itself can compute a first economic indication that the customer sees immediately — that noticeably raises conversion from lead to appointment because the value of the consultation is felt up front. Hidden fields like sales rep assignment or lead campaign carry the internal routing information.