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Kommo CRM · Solar Energy

Sales engine for Solar Energy: how much do you lose without it?

In solar, the lead asks for a simulation and disappears into the void between the quote and the technical visit: the salesperson sends a PDF and doesn't call again, the client cools down comparing three competitors, and the long cycle kills the high-ticket sale. Since the lead is expensive and the margin is good, each simulation that doesn't become a visit is money burned in traffic.

%
R$
R$
You are leaving on the table
—
per month · — per year
Where does this number come from
More leads for the same investment—
More conversion (fast response and follow-up)—
More repeat purchases from the same client—
Total per month—
Project payback—
I want this engine →

Typical solar energy numbers. Adjust with yours.

Everything starts from your real revenue per client, the LTV. Four numbers you already have:

Leads per month—
Conversion—
Average order value—
Purchases per client—
Your revenue today—

A structured sales engine moves three levers at the same time. Since they act on the same account, the effect does not add up: it multiplies.

01—

More leads

More qualified traffic and prospecting: more people enter for the same investment.

+ — per month
02—

More conversion

Response in minutes, follow-up that doesn't fail, and AI answering after hours.

+ — per month
03—

More repeat purchases

Relationship and base reactivation: the same client buying again.

+ — per month
Revenue today—
With the engine—
What is on the table—

The size of each step depends on where you are starting from: those who already use a good CRM with AI have less to gain (20% per lever) than those who don't use any CRM yet (30%). That is why the calculator asks for your current situation, and it is the only place where an estimate is entered.

01What we believe

The MMV Method applied to Solar Energy

In the MMV Method, solar installs a process that covers the gap between simulation and closing: the lead is qualified by consumption and roof type, receives the simulation quickly, and enters a follow-up that doesn't let them cool down while comparing quotes. Each stage, simulation, visit, proposal, closing, becomes a measured stage in Kommo. You predict closing by the funnel, not by the hope of the client returning.

02The stack we build

The right tools, integrated.

Kommo CRM

Pipeline by the real solar cycle (lead → simulation → technical visit → proposal → closing) with each deal tagged by consumption (kWh) and potential ticket.

N8N

Integrates the simulation form to Kommo, triggers the savings estimate automatically, and triggers follow-up between quote and visit so the lead doesn't cool down in comparison.

OpenClaw

AI agent qualifies electricity bill, roof type, and city 24/7, delivers the initial simulation, and already schedules the technical visit before the competitor responds.

Claude Code

Builds the simulation calculator integrated into Kommo, long-cycle follow-up automations, and funnel stage conversion reports.

03The funnel

Outbound + inbound, with a qualifying form.

Outbound

Active prospecting in businesses and residences with high consumption and reactivation of those who asked for a simulation and didn't close, lukewarm solar leads return to the topic when the electricity bill weighs again.

Inbound

Content about savings/return on investment and ads with an electricity bill hook leading to a simulation calculator, not raw WhatsApp.

Tracked form

Tracks electricity bill value, property/roof type, city, and whether it's cash or financed, qualifying savings potential and purchasing capacity.

04Service + commercial process

AI delivers the simulation in seconds and schedules the visit; the salesperson calls while the lead is hot and structured follow-up fills the gap until closing. Active cadence between proposal and decision prevents the client from cooling down comparing competitors, recovering the high-ticket sale that is normally lost in silence.

05Visibility (SEO · AEO · GEO)

Captures high-intent searches ("is solar energy worth it", "how much does solar panel cost for my bill", "solar energy financing") with simulation and ROI pages by consumption profile, and answers viability questions in direct format to be cited by AI when the client researches before asking for a quote.

Frequently asked questions, Solar Energy

Why do I lose solar sales between simulation and visit?

Because the salesperson sends the PDF and stops touching the lead, who cools down comparing competitors in a long cycle. The correction is process: Kommo puts simulation, visit, and proposal as measured stages and N8N triggers a structured follow-up that keeps the client warm. The sale stops depending on the lead returning alone.

Can AI really qualify solar energy leads?

Yes. The AI agent pulls the data that defines the case, electricity bill value, roof type, city, and payment method, delivers an initial savings simulation, and already schedules the technical visit. The salesperson receives only leads with real closing potential, instead of wasting time with curious people who never had the consumption to justify the investment.

Shall we build your solar energy sales engine?

Discuss your project → See Kommo CRM service →