Know what's in every home before you make an offer

Eliq reads the smart meter data you already have and shows who owns an EV, who has solar, who is likely to leave and who is ready for a new offer.

Segments

Peak-hour EV chargersFlat tariff, would save an EV tariff
Solar, no batteryExports most of what it makes
Likely to leave, high valueRetention priority

The right tariff is the best retention offer you have

The right tariff is the best retention offer you have

See what's behind the meter

Detect EVs, solar panels, heat pumps and batteries from consumption data alone, with no surveys or forms.

Spot who's about to leave

Flag the homes whose usage shows the signs that come before a switch, ranked by value and with the likely reason attached.

Group homes by how they live

Build segments on real usage, cost sensitivity and detected assets, and send them straight to your campaign tools.

MCP

MCP

Ask your portfolio a question in the AI you already use

Through our MCP, anyone on your team can ask Claude, ChatGPT or Copilot about your customer base and get the answer from Eliq's data. The answer can go straight into a segment for your next campaign.

Your AI assistant, connected to Eliq

Which homes have solar but no battery yet?

14564 homes. Most of them export more than half of what their panels make, so they are a good fit for a battery offer Want this as a segment?

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WHAT YOUR SYSTEMS SEE

Customer 48211

- Flat tariff - Monthly usage

What Eliq understands

A new tariff fit

Charges an EV three evenings a week at peak price, on a flat tariff. A good fit for an EV tariff.

Your systems know the account, Eliq understands the home

Your CRM holds a name, an address and a tariff. Eliq adds what happens inside the home, like an EV charging three nights a week or a heat pump that arrived last winter. Segments update as homes change, so your campaign lists stay current.

See your customer base for what it actually is

Connects behaviour, usage, and technology and get a clear view of your customers. Not just who they are, but how they behave, how they differ, and where things are changing. From individual households to portfolio-level patterns, it gives your teams a shared understanding of where to focus, what to act on, and why.

Would you like to try this with your own data?

Send us a data sample and we'll show you the EVs you didn't know about, the customers likely to leave and the offers waiting to be made.