By Greg Allan, tradesman and creator of Data First Coaching
When do most solar installers send the referral email, and why is that too early?
Most solar installers trigger the referral ask the day the inverter is switched on, the certificate is lodged, or the job is marked complete in the system. That feels like the natural moment because, from the business side, the install is finished.
But the customer's experience of the job is not finished on that day. Network approval may still be sitting with the retailer. The monitoring app might not be showing real numbers yet. The customer has paid for a system, not yet seen proof it does what it was sold to do. Asking them to vouch for something they have not personally verified puts the solar installer's reputation in the customer's hands before the customer trusts it themselves.
What happens when the ask lands on a customer who is still waiting on network approval or a service call?
When the referral email lands on an unsettled job, it either gets ignored or it gets forwarded to someone who is only shopping on price. Neither outcome helps the solar installer.
Picture the customer who has a system installed but is still waiting on grid connection, or who has already logged a warranty claim or a service call because the inverter is throwing a fault. They are in no position to tell a neighbour the investment paid off, because they do not know yet themselves. If they do forward the email anyway, out of politeness, the person they send it to is often someone chasing the cheapest quote rather than someone who has seen a mate's bill actually drop. That is how a referral pipeline quietly fills with the wrong kind of lead.
What is the real trust milestone that tells you the timing is right?
The right moment is not a date on the calendar, it is a point the customer reaches: the system is commissioned, the grid connection is confirmed, monitoring is live, feed-in is showing, and the first bill has come in lower than before. That is the point a customer has proof, not a promise, to pass on.
This is a data first way of looking at referral timing. Instead of guessing how many days after install feels right, you let each customer's own system data tell you when they have actually seen the result. A system that size, with that consumption pattern, might prove itself faster or slower than another, and the calendar date was never going to capture that.
What number in your own business actually marks that moment?
The number that matters is not days since install, it is the status of each job: has the system been commissioned and connected, is monitoring confirmed live for that customer, and has a first bill come through showing the feed-in and consumption numbers doing what the quote promised. That is the real trigger, not a fixed number of weeks.
Tracking that properly, across every residential and commercial solar job on the books, including battery and EV charger add-ons, is office work most solar installers do not have time for between sales calls, roof access visits and keeping accreditation paperwork current. This is where AI agents earn their keep. An AI agent is software that does a job the way you would, using your own wording and your own rules, so it can watch for the monitoring data and first bill landing on each customer's file and flag the moment the referral ask should go out, in your voice, not a generic template.
Why does getting this timing right change the quality of your leads, not just the quantity?
Getting referral timing right changes who ends up in your pipeline, not just how many people are in it. A referral sent at the right moment tends to bring in someone who wants the same result their mate got. A referral sent too early, or not sent at all, leaves that gap to be filled by other lead sources, which are not always the cheapest or the most reliable.
Picture a solar installer who had been paying for leads from quoting platforms that converted poorly and tied his install team up in quoting visits for jobs that never got booked and were never paid for. Once he started tracking every lead by source, month by month, including the referrals that had been going out untimed and unmanaged, the numbers showed where the real work was actually coming from. He shifted focus away from the paid lead platforms and towards his own website and a referral system that was timed properly, rather than fired off on install day out of habit.
AI agents can carry that tracking automatically, by source, by job, by month, so the shift in focus is based on what the numbers show rather than on a feeling about which leads feel busier.
How does Data First Coaching approach this?
Data First Coaching, built by Greg Allan, starts from the solar installer's own job and lead data through the Trade Business Intelligence, not from a general rule about when to email past customers. It looks at where each referral actually came from, how it was timed, and what happened to the leads it produced, to find whether the real problem is timing, lead source, or something earlier in the sales process.
Greg puts it plainly: “you've got to continue to nurture, drop in, call, email, SMS, however you do it until they start sending you the work.” The how, built around each installer's own customers and systems, is worked through inside the Academy, with members, because the Trade Business Intelligence is powered by every member who joins it, and the Academy is built for owners who are open minded, innovative and willing to share.
Looking for a business coach who starts from your numbers? Solar Business Coach or every answer for solar installers.
