A high lead count can be a 'false positive.' Integrating paid ads with your CRM (like ServiceTitan) allows you to track revenue attribution, revealing which campaigns generate profitable jobs versus just a high volume of low-value leads.
Pausing campaigns forces you to restart Google's entire learning algorithm. Instead, reduce the budget. Data shows off-season service and repair leads have a higher conversion rate for expensive installs and replacements during the busy season.
Before blaming PPC for poor results, analyze your internal operations. If your call booking rate is low (e.g., 20%), the issue likely lies with your Customer Service Representatives' training and call handling, not the quality of the leads generated by the ads.
Underfunding is a primary cause of PPC failure. To give Google's algorithm enough data (at least 50 leads/month) to learn and optimize, a baseline investment is required. This minimum threshold is significantly higher in competitive markets like Dallas or Phoenix.
Treat PPC like SEO; it needs time. Google's algorithm spends the first month learning (L), the second optimizing (O), and only hits its 'sweet spot' (S) for ROI in months three and four. Contractors often quit too early during the initial learning phase.
Set clear expectations for paid ad performance. A successful PPC campaign should generate $3 to $5 in revenue for every $1 spent. Google Local Services Ads (LSAs) should yield an even higher return due to their lead guarantee model.
A user clicking an ad for "water heater repair" expects a page about that specific service. Sending them to a generic homepage that also lists HVAC creates confusion and breaks their intent, causing them to leave. Always match the ad to a specific landing page.