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01The Overview

Turning paid traffic into solar leads.

Redesigning a high-friction calculator journey so the traffic E.ON already paid for turns into qualified leads.

My Role

Led design end-to-end

From research to testing, working with a junior designer and partnering with PM, engineering, and the PO on strategy and delivery.

+300%

Lead conversion uplift

UK rollout

Adapted and rolled out for the UK market.

A modern house with black solar panels on the roof at sunset, surrounded by greenery

More
sun for a
brighter
tomorrow.

E.ON
A person researching solar options on a laptop showing an E.ON website, with a handwritten note reading 'Same visitors. More impact.'
02The Challenge

We had the traffic.
Not the leads.

E.ON paid for traffic, but only about 5.1% converted to leads. People researched solar, then dropped off before finishing the calculator. We never got their details.

The opportunity wasn’t more traffic. It was more value from the traffic we already had.

03Our Audience

Who are we designing for?

The German market

Our audience was primarily homeowners aged 40+, still early in their solar journey.

Key insight

Interest was there. Confidence wasn't.

Audience research summary: 66.7% of homeowners are aged 40+, alongside profiles of cost-conscious, sustainability-minded, and information-seeking homeowners, over a photo of a family looking at their solar-paneled home at dusk, annotated 'Still exploring. Still deciding.'
04The Journey

A narrow window, lost at Calculate.

The solar calculator was a critical step between interest and becoming a lead.

Homeowners usually decided within 24 hours — but over 85% dropped off at Calculate. A slow, heavy calculator cost us the whole decision window.

Visit
Explore
Calculate
Consider
Apply
Purchase
05The Problem

The calculator
asked for too much.

A useful estimate required detailed information about the home.

The original questions were built for the algorithm, not for the customer.

Some dropped off. Others never started.

Finding these details
takes time.

Architectural floor-plan sheet of a home, showing detailed wall dimensions
Solar calculator UI asking the customer to select their roof pitch

Too many questions.
Many drop-offs.

06The Design Constraint

The calculator needed data.
The customer didn't want to find it.

The estimate depended on detailed information about the home. But every question added friction.

Design question

How can we get the data we need without making the customer do all the work?

07Design Decisions

A simpler path to a smarter estimate.

We redesigned the experience around three principles: automate what we can, ask only what's easy to answer, and make the value clear.

Let the system find the data.

We use the customer's location to retrieve key details about their home upfront, so there's less to type and fewer questions to answer.

Fewer inputs. Fewer unnecessary questions.

Aerial view of a house roof before analysis
Before

Manual input

  • Roof size?
  • Roof inclination?
  • Sunlight exposure?
Aerial view of the same house roof with sunlight exposure highlighted
After

We found your roof

  • Roof size
  • Roof inclination
  • Sunlight exposure
08Testing & Iteration

Testing withreal customers.

We tested the redesigned calculator with customers and combined several sources of feedback.

Customer research
Website analytics
Hotjar
Sales feedback

It was so much
easier than I expected.

Sarah K., Germany

Woman smiling while looking at the solar calculator on her laptop
Aerial view of a house with solar panels installed on its roof
Auto-detected

We found your roof

  • Roof size
  • Roof pitch
  • Sunlight exposure
09Result

Real impact.

+300%

Lead conversion uplift

UK rollout

Adapted and rolled out to the UK market.