26x return on ad spend with $2.4M in added revenue across an 8-week ramp.
Housing Hand is a UK student-housing guarantor serving international students. Their existing Google Ads account targeted a too-broad UK consumer audience with no clear conversion model. We rebuilt around international-student intent, wired offline closed-won, and let Smart Bidding learn from booked tenancies.
Overview
Housing Hand provides rent-guarantor services to international students moving into the UK. The buyer is a student (often parent-influenced) searching during a tight pre-tenancy window when they realise they need a UK-based guarantor. Their Google Ads account had been running broad UK consumer queries, training Smart Bidding on the wrong signal, and conversions were defined as form fills that did not predict tenancy.
The challenge
Snapshot
Engagement cadence
Week 1
Audit + conversion infra wired
Week 2
Account rebuild + creative shipped
Week 3
Launch on 30% spend ramp
Month 3
Cost-per-meeting holds; full spend
Our approach
Negative keywords removing UK-resident rental queries. In-market audience signals around ‘international students’ and ‘study abroad UK’. Bid-up modifiers for queries containing university names.
Conversions reframed as completed-tenancy via CRM upload. Smart Bidding learned from real revenue, not interest. Cost-per-tenancy became the metric we managed to.
Bid modifiers ramped into the 4-to-8 week pre-tenancy window per major UK university calendar. Spend deliberately throttled outside windows.
Landing page rewritten to address both the student (process speed) and the parent (financial credibility). Calendar booking embedded above the fold.
Tools we ran
26x
return on ad spend
Results
Over an 8-week ramp, the rebuilt account delivered 26x return on ad spend with $2.4M in added tenancy revenue. CTR landed at 32.2% on 138K qualifying impressions because the audience signals filtered to real international-student intent. The shift to completed-tenancy as the conversion signal meant every weekly Smart Bidding optimization was learning from revenue.
You build the business. We build the demand.
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