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Customer Acquisition Through Energy Profiling: A Channel Strategy for PV Solutions Providers

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The Last Mile Problem in Residential PV

Residential PV sales stall at the same point regardless of product quality: the customer is interested but not ready to commit. They doubt the sizing methodology. They are unsatisfied with estimates built on a utility bill. They want to know what they are actually buying before they spend the money.

For providers of portable plug-in units (balcony systems) and whole-home PV solutions alike, this hesitation represents a structural gap between product capability and customer readiness. The Shelly Pro 3EM profiling bundle is a distribution-channel tool designed to close that gap.

The Profiling Bundle as a Channel Instrument

The bundle - Shelly Pro 3EM + Shelly Premium Cloud subscription - is not positioned as a Shelly product. It is positioned as a pre-sale service within your distribution or reseller network. An installer or retailer offers it to a prospective customer as a low-commitment first step. The customer gets a detailed energy profile. Your channel partner uses that data to specify the right system from your portfolio.

This changes the sale from a speculative pitch to a data-backed recommendation. The customer trusts the number because it came from their own home.

Application by Provider Type

Portable / Balcony PV Systems

The profiling data answers the core sizing question for plug-in customers:

Usage Pattern

Recommended Action

High midday consumption (WFH, AC, appliances)

Single or dual-panel unit sized to daytime load

Low daytime, high evening consumption

Add battery storage module; size to evening floor load

High peak demand, low base load

Focus on demand offset; battery less critical

The data also identifies customers for whom a balcony system alone will deliver meaningful self-consumption (typically 15–35%), giving the sales conversation a credible foundation.

Whole-Home PV Systems

For whole-home system design, the 1-minute resolution data directly feeds into:

  • Inverter sizing: Measured peak demand (kW per phase) sets the minimum inverter rating. Phase imbalance data informs single- vs. three-phase inverter selection.

  • Battery capacity: Overnight base load (kWh) sets the floor. Desired autonomy (full backup vs. partial offset) determines final specification.

  • Generator / grid backup threshold: For off-grid or hybrid configurations, the minimum load floor defines the generator/grid tie-in point.

  • Export limitation: Where grid export is restricted by the DSO, measured surplus production windows determine the export management configuration.

The data integrates directly with energy management platforms, enabling continuous optimisation post-installation.

Channel Integration Model

The profiling bundle enters the channel as a lightweight lead qualification product:

  1. Distributor or reseller offers the profiling bundle to an undecided customer (via an electrician, PV installer, or direct retail)

  2. Customer installs (or has installed) the Pro 3EM - 20–30 minute job

  3. 2–4 weeks of passive data collection

  4. Data-backed proposal from the channel partner using your system portfolio

  5. Customer converts on the basis of a recommendation grounded in their actual usage

The Shelly device remains with the customer post-installation and can integrate with your system's monitoring and energy management interface, maintaining brand touchpoint continuity throughout the product lifecycle.

Technical Integration Notes

  • REST API and MQTT available for integration with third-party energy management systems

  • 1-minute data granularity compatible with most load analysis and system design tools

  • Cloud platform: Shelly Cloud (EU-hosted); data export via CSV or API

  • Expandability: The Pro 3EM can be supplemented with additional Shelly devices for sub-circuit or PV generation monitoring

Summary

The energy profiling bundle gives your distribution network a structured, low-friction entry point into the customer relationship. It converts hesitation into data, and data into a system specification from your portfolio. It works equally for portable system recommendations and for complex whole-home design - the methodology scales with the customer's needs.

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