Home Whiz was bidding on high-intent service keywords in a crowded market, alongside signs of suspicious competitor click behaviour. The question wasn't just how to get more clicks — it was which clicks represented genuine customer intent, and which were quietly wasting budget.
The account has been retained and continuously managed for 2+ years. This demonstrates a sustained, profitable acquisition system, rather than a short-term traffic spike.
Analysed how clicks were occurring, moving beyond aggregate metrics to understand deep user intent and friction points.
Categorised targets strictly by intent, service type, hyper-local geography, competition level, and historical click behaviour.
Identified unusual time-based click patterns to aggressively optimize ad scheduling and protect daily budgets.
Flagged and filtered suspicious traffic dynamically, without ever blocking legitimate search demand.
Ongoing, rigorous review of search-term quality and budget efficiency sustained over a multi-year period.
"Behavioural click analysis paired with click-fraud monitoring identified suspicious traffic patterns and protected ad spend — while keeping legitimate search demand fully intact."
