1800 Plumber + Air Almost Triples Revenue From Previous Year
We rebuilt 1800 Plumber’s growth engine around a simple truth: plumbing demand is mostly triggered, not invented.
People rarely hire a plumber because an ad “convinced” them; they hire because something broke, something is leaking, or a replacement suddenly became urgent.
So need to help the brand approach marketing less like a one-click conversion "ecommerce style" measurement, and instead like brand presence with intent capture working together.
THE CHALLENGE
The hard partest part from home services is separating researchers from buyers, while avoiding suffocating yourself in volume of expensive clicks.
Plumbing shoppers often click multiple ads, compare options, read reviews, and wait until the pain is real. Which can wreak havoc by quietly inflating costs because you pay for repeat clicks from the same households.
We also saw the classic home-services problem where “leads” looked healthy on paper, but sales outcomes lagged. Leads were price-shopping with in-person quotes, renters without authority, or unreachable after submission.
On top of that, plumbing isn’t a single service ad campaign: Drain cleaning, water heaters, leak detection, and sewer work all carry different urgency, margins, and close rates. So one blended campaign inevitably optimized for the wrong mix. Google auctions punishes broad intent because DIY and “parts” searches can be expensive noise. Meanwhile Meta could over-deliver to high-engagement audiences who loved content but never booked. The real revenue lift lived in the handoff: speed-to-lead, call handling, and qualification discipline.
To triple revenue year over year, we had to reduce wasted spend, raise lead quality, and make the path from “interested” to “scheduled” feel frictionless.
““You guys have made such a meaningful impact for the business in such a short amount of time.” - Kyle, 1800 Plumber
OUR APPROACH
We built a multi-touch system where 1800 Plumber stayed visible cheaply on Meta and captured urgency profitably on Google.
On Meta, we shifted away from “click-heavy” patterns. We instead built for controlled presence and intent signals, using engagement-based sequencing. This helped the algorithm learn who behaved like real customers over time. Creative was used that filtered for clarity without sounding exclusionary by stating service area, response expectations, and helpful solutions to common problems.
We capped waste by suppressing audiences that had already submitted or called, and controlling frequency. With a limited budget, you must avoid paying for clicks the same household repeatedly. On Google, we separated campaigns by service intent and urgency. And protected budgets with tight scheduling, and relentless negative keywords.
The biggest step was closing the loop: we fed back which leads became scheduled jobs. This was to help both Meta and Google see what a true SQL was, rather than traffic noise. The result was a system that stayed top-of-mind without paying for infinite repeat clicks, while steadily improving lead quality and lowering cost per booked job.
