More leads
More qualified traffic and prospecting: more people enter for the same investment.
The visitor puts items in the cart and abandons it, and recovery is limited to an email that no one opens. The client who bought once disappears without repurchasing, and pre-sales questions on WhatsApp go hours without a response, dropping conversion. Paid traffic money leaks due to lack of post-click process.
Typical e-commerce and dropshipping 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 treats e-commerce as a relationship funnel, not just a checkout one: multi-channel cart recovery, instant pre-sales service, and LTV-based repurchase cadence. Predictability comes from raising the conversion rate and the value of each client, not just burning budget on traffic.
Centralizes each client in a CRM with purchase history, segments by LTV, and organizes recovery and repurchase funnels.
Integrates the store (Shopify, platform), checkout, and WhatsApp, triggering cart recovery and post-sales flows by event.
AI agent answers pre-sales questions on WhatsApp 24/7, recovers the cart by chatting, and pushes the client to purchase.
Builds integrations between the e-commerce platform, CRM, and automations, and the segmentation logic by behavior and LTV.
Active reactivation of inactive clients and those who abandoned the cart, with offers segmented by history and ticket.
Paid traffic and content that lead to the store, with WhatsApp capture for service and recovery outside of email.
Contact capture (pre-checkout, coupon, list) that qualifies interest and allows for cart recovery and nutrition via direct channel.
Speed-to-lead in pre-sales: AI answers questions instantly and converts the cart into a conversation, recovering the sale. Structured follow-up reactivates abandoned carts and triggers repurchases in the right cycle for each product, via WhatsApp and email, raising LTV.
Search by product and comparison ('best [product]', 'is [product] worth it'), with answer-first content optimized for AEO/GEO, making the store and its products cited in AI responses for those in the purchase decision phase.
Frequently asked questions, E-commerce and Dropshipping
No. Your store continues processing sales and inventory. GHL is the relationship and recovery layer: integrated via N8N, it captures the client, recovers carts via WhatsApp, and creates repurchases. You keep the operation that already runs and add a process that increases conversion and LTV without switching platforms.
In general, yes. WhatsApp's open rate is much higher than email's, and AI chats for real: it answers the question that stalled the purchase and resends the link. Combining WhatsApp, email, and segmented offers, you rescue a larger slice of carts that today become lost money.
It is, because the gain is in volume and repurchase. Even with a low ticket, recovering carts and making the client buy again raises LTV and improves return on paid traffic. AI handles the high volume of questions 24/7 without increasing team costs, protecting the operation's tight margin.