Why Smart Solar Reps Scan Suburbs Before Knocking Doors

There are two types of solar reps. The first type picks a suburb on Monday morning, drives there, parks the van, and starts walking up driveways. They knock every door on the street. Some houses have panels already. Some are rentals. Some have south-facing roofs that will never make financial sense. By 3pm they have knocked 35 doors and had maybe 4 decent conversations.

The second type spends 10 minutes before they leave the office. They scan the suburb, filter for the top 25 addresses by score, print the list, and drive to the first address. Every door they knock has a north-facing roof with good area, no existing panels, and sits in an owner-occupied property. By 3pm they have knocked 25 doors and had 12 decent conversations.

Same suburb. Same day. Completely different results.

The maths behind targeted prospecting

A typical door-to-door solar campaign sees a conversation rate of about 1 in 5 doors knocked. Of those conversations, maybe 1 in 5 leads to a booked appointment. Of booked appointments, roughly 1 in 3 closes.

That means for every 75 doors knocked, you get approximately 15 conversations, 3 appointments, and 1 sale. That is the industry average for cold canvassing without any targeting.

Now consider what happens when you only knock qualified doors. If your conversation rate improves from 1 in 5 to 1 in 3 (because you are not wasting time on renters and existing-solar homes), the numbers change dramatically. 75 qualified doors gives you 25 conversations, 5 appointments, and roughly 2 sales. Double the output from the same number of doors.

In reality, the improvement is often even larger because the quality of conversations is higher. A homeowner who has a perfect roof for solar but has not yet installed is a fundamentally different conversation to someone who has a south-facing roof and is only talking to you because they are polite.

What to scan for

The most important filter is existing solar adoption in the suburb. This tells you how saturated the market is. A suburb where 5% of homes have panels has 95% of homes still available. A suburb at a quarter adoption means the early movers are taken and the remaining homeowners are harder to convert.

Within that suburb, you want to prioritise addresses with north-facing roofs and large usable roof areas. These properties have the best financial return on a solar system, which makes the sales conversation easier. A home where the system pays for itself in 3 years is an easier close than one where the payback is 7 years because the roof faces east.

Owner-occupier rates matter more than most reps realise. A suburb that is 90% owner-occupied will convert better than one that is 60% owner-occupied, even if the roofs are identical. Renters cannot make the purchase decision, full stop.

Building a weekly rhythm

The most effective approach is to build suburb scanning into your weekly planning. Every Friday or Monday morning, scan 2 to 3 suburbs in your territory. Review the top 25 to 50 addresses from each. Plan your route for the week based on the highest-scoring clusters.

Export the results as a PDF and keep it in your van. Or download the CSV and upload it to your CRM so each address becomes a lead with the score and data already attached.

Over time, you build a map of your entire territory. You know which suburbs are saturated, which have the highest potential, and which specific streets have the best concentration of qualified homes. This compounds. A rep who has systematically scanned every postcode in their territory has an information advantage that no amount of cold canvassing can replicate.

Getting started is free

Vornir gives every new account 50 free credits. That is enough to scan 50 addresses across a couple of suburbs and see the scoring in action. The scan takes about 20 seconds. You get a ranked list with roof scores, area scores, and sun scores for each address, plus a colour-coded map showing exactly where the hot leads are.

Try it on a suburb you know well. Compare the top-scoring addresses against properties you have already sold to. The correlation will speak for itself.