More leads
More qualified traffic and prospecting: more people enter for the same investment.
A lead asks for a quote, receives the proposal, and disappears in the middle of the long decision cycle, while the salesperson 'forgets' to follow up. Curious people who just want to know the price of the electricity bill consume the technical consultant's time, and the really hot lead goes cold without cadence until they buy from another integrator.
Typical solar energy numbers. Adjust with yours.
Everything starts from your real revenue per client, the LTV. Four numbers you already have:
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.
More qualified traffic and prospecting: more people enter for the same investment.
Response in minutes, follow-up that doesn't fail, and AI answering after hours.
Relationship and base reactivation: the same client buying again.
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.
The MMV Method organizes the long solar cycle: each lead is qualified by consumption, roof, and financing profile before the consultant builds the proposal. Structured follow-up keeps the lead warm during the weeks of decision, and predictability comes from knowing exactly how many quotes become contracts.
Structures the pipeline from quote to contract with clear stages (qualification, proposal, financing, closing) and registers each interaction of the long cycle.
Integrates form with savings simulation, WhatsApp, and financiers, and triggers proposal stages at the right time.
AI agent answers 24/7, collects consumption and profile data, qualifies the lead, and only passes to the consultant those who have a viable project.
Builds the savings calculator integrated into the CRM and the automations that support follow-up throughout the entire decision cycle.
Active prospecting in companies and residences with high electricity bills, approaching them through the pain of the bill and the return on investment.
Ads and content about savings and return on investment that capture the lead in the form with personalized simulation.
Form that qualifies consumption (bill value), property/roof type, and interest in financing, delivering the pre-dimensioned lead to the consultant.
Speed-to-lead: AI responds instantly, performs initial technical qualification, and schedules the visit or call with the consultant. Structured follow-up sustains the lead during the entire decision cycle via WhatsApp, email, and call, resuming the proposal until the contract is closed.
Search by intent and savings ('is solar energy worth it', 'how much does solar panel cost [city]'), with answer-first content optimized for AEO/GEO, making the integrator cited in AI responses about solar viability and return.
Frequently asked questions, Solar Energy
Follow-up is structured and automatic: the system resumes the lead at each stage (post-proposal, financing question, decision) without depending on the salesperson's memory. During the weeks of decision, the lead receives the right sequence via WhatsApp, email, and call. No proposal is left forgotten in the drawer.
AI performs initial qualification: it collects the bill value, property type, and interest in financing, delivering the pre-dimensioned lead. The final technical calculation and engineering proposal remain with your consultant. Thus, the specialist only spends time on viable projects, not on curious people.
Yes. GHL separates funnels by profile (B2B and residential), because the decision cycle and arguments are different. Companies enter through payback and operational cost reduction; residences through monthly savings. Each lead receives the right approach and cadence for their type of project.