SwiftPropel was engaged as a white-label Google Ads partner to build and manage a rental-demand system for a suburban multifamily property.
The objective was to generate rental enquiries.

The account was built from scratch and operated across a long leasing cycle rather than as a short-term promotional campaign.
The strategy recognized a core reality of rental marketing:
Renters do not usually move from one ad click directly to one enquiry.
They search broadly, compare rental options, review floorplans, inspect interiors and amenities, explore the gallery, assess location fit, and then decide whether the property belongs on their shortlist.
SwiftPropel built the Google Ads system to support that journey.
The Challenge
The property needed to compete for multiple forms of rental demand:
- Broad “apartments for rent” searches
- Local rental searches
- Two-bedroom and three-bedroom apartment searches
- Generic rental-apartment demand
- Competitor comparison searches
- Returning visitors who had already explored the website
- Renters who needed more information before entering a contact or booking path
A single generic apartment campaign would not create enough control over search intent, unit relevance, audience stage, or media allocation.

The account also had an attribution limitation.
The website included a trackable WordPress form as well as an embedded GoHighLevel form. SwiftPropel could track the WordPress form path, but did not have access to GoHighLevel, CRM data, booking outcomes, applications, signed leases, or occupancy results.
The campaign was therefore measured using verified Google Ads actions and tracked website form events, not assumed leasing outcomes.
The Strategic Premise
The account was built around a simple principle:
Rental advertising should not only generate clicks. It should help a renter move from an initial search to a confident property shortlist.
That required more than broad reach.

It required a system that captured active rental demand, supported research-stage visitors, and created clear contact paths once renters were ready to act.
Campaign Architecture
SwiftPropel built and managed a multi-layer Google Ads account including:
- High-intent Search campaigns
- Generic apartment and rental-demand campaigns
- Two-bedroom and three-bedroom search segments
- Performance Max campaigns
- Display prospecting
- Competitor-targeting campaigns
- Interest-based audience targeting
- Website-visitor remarketing
- Call ads
- Property-content and contact-path campaign support
Each campaign type had a defined job.
| Campaign layer | Role |
|---|---|
| High-intent Search | Capture renters actively looking for apartments |
| Unit-type campaigns | Match two-bedroom and three-bedroom search demand |
| Generic rental campaigns | Capture broader apartment-market demand |
| Competitor campaigns | Reach renters comparing nearby alternatives |
| Performance Max | Extend demand capture across Google inventory |
| Display and remarketing | Keep the property visible during research and comparison |
| Call ads | Create a direct phone-contact route |
Strategy
1. Capture renters at the moment of active search
Search activity was structured around both broad and specific demand.

The account targeted generic apartment and rental searches while also supporting renters searching for larger unit types, including two-bedroom and three-bedroom apartments.
This created stronger alignment between:
- The renter’s search query
- Ad messaging
- Relevant unit or property information
- Budget allocation
- The likely next step on the website
The objective was not to force every prospect into the same generic campaign. It was to create more relevant paths for different renter needs.
2. Treat property research as part of acquisition
For a rental property, floorplans, galleries, amenities, interiors, and community details are not secondary website pages.
They are decision assets.
The campaign operated alongside a website where renters were actively researching:
- Floorplans
- Unit layouts
- Gallery content
- Amenities
- Interiors
- Community information
- Contact options
- Two-bedroom apartment details
This gave paid media a stronger role than simply driving homepage traffic.
It supported the full property-research process that occurs before a renter chooses to contact a leasing team.
3. Use Display and remarketing for consideration, not inflated lead claims
Search captured renters with active demand.
Display and remarketing supported renters who were still comparing options, reviewing property features, or returning after an earlier site visit.

These campaign types were used to maintain visibility during the consideration stage.
They were not treated as proof of completed leads simply because they generated impressions, clicks, or softer website interactions.
4. Separate contact actions from research activity
SwiftPropel reported different action types separately.
Tracked contact actions
- WordPress form-submission events
- Book a Tour clicks
- Reserve Your Suite Now clicks
- Calls from ads
- Phone-contact actions
Research and consideration actions
- Floorplan interactions
- Gallery clicks
- Virtual-tour clicks
- PDF downloads
- Map clicks
- Contact-page views
- Direction actions
This made reporting more credible and prevented property research activity from being presented as verified lead volume.
5. Optimize throughout the leasing cycle
Ongoing optimization included:
- Search-term analysis
- Negative keyword refinement
- Keyword expansion
- Unit-type keyword testing
- Competitor analysis
- Bid-strategy review
- Ad-copy refinement
- Performance Max optimization
- Display-placement review
- Audience refinement
- Remarketing refreshes
- Device-performance review
- Dayparting analysis
- Budget reallocation
- Campaign and ad-group restructuring
The objective was to improve renter relevance over time, not simply increase traffic volume.
Results
Campaign period: July 1, 2023 to December 6, 2024
| Metric | Result |
|---|---|
| Google Ads spend | CA$16.72K |
| Impressions | 2.37M |
| Clicks | 29.67K |
| Click-through rate | 1.25% |
| Average CPC | CA$0.56 |
| Google Ads-tracked WordPress form-submission events | 253 |
| Book a Tour click actions | 88 |
| Reserve Your Suite Now click actions | 53 |
| Calls directly from ads | 2 |
Property-Research Context
The campaign supported a website where renters were actively researching specific apartment options.
| Property-research asset | Views | Average engagement time |
|---|---|---|
| Floorplans | 17,568 | 2 minutes 24 seconds |
| Gallery | 13,282 | 51 seconds |
| Amenities | 10,156 | 52 seconds |
| Interiors | 8,439 | 57 seconds |
| Two-bedroom apartment page | 7,476 | 30 seconds |
| Contact page | 3,245 | 25 seconds |
These figures are website-wide analytics context, not Google Ads-only attribution.
They show the type of research renters completed before entering contact, booking, or form-submission paths.
Channel Context
Paid Search was the largest website acquisition channel during the reporting period.
| Channel | Sessions | Engagement rate |
|---|---|---|
| Paid Search | 16,347 | 71.95% |
| Organic Search | 13,987 | 74.98% |
| Display | 10,204 | 53.66% |
| Direct | 7,736 | 56.31% |
Paid Search captured the strongest active rental demand, while Display and remarketing supported additional awareness and consideration activity.
What the Results Mean
With CA$16.72K in media spend, SwiftPropel generated:
- More than 2.37 million impressions
- More than 29,000 clicks
- A CA$0.56 average CPC
- 253 tracked website form-submission events
- 88 Book a Tour click actions
- 53 Reserve Your Suite Now click actions
- Sustained renter research across floorplans, galleries, amenities, interiors, and unit-specific content
The account did not rely on generic traffic alone.

It created a structured path from rental search to property research to measurable contact intent.
Measurement Note
Google Ads recorded more than 5,000 tracked actions during the campaign period.
That number is not reported as 5,000 leads.
It included a mix of:
- Website form-submission events
- Booking-path clicks
- Reserve Your Suite Now clicks
- Calls from ads
- Gallery clicks
- Floorplan interactions
- Virtual-tour interactions
- PDF downloads
- Map clicks
- Contact-page views
- Local actions and other website engagement
For reporting accuracy:
| Measurement stage | Reported outcome |
|---|---|
| Tracked website form submission | 253 events |
| Booking intent | 88 Book a Tour clicks |
| Reserve-suite CTA intent | 53 clicks |
| Direct calls from ads | 2 calls |
| Property research activity | Reported separately |
SwiftPropel did not have access to GoHighLevel, CRM records, completed bookings, qualified-lead status, applications, leases, revenue, or occupancy data.
This case study does not claim those outcomes.
Key Lesson
Rental demand is not created only by targeting more keywords.
The stronger strategy is to make the property easier to shortlist.
That means connecting:
- Broad rental searches
- Unit-type demand
- Property comparison behavior
- Floorplan research
- Amenities and interiors
- Returning visitors
- Contact and booking paths
The most valuable paid-media system is not the one that produces the most generic clicks.
It is the one that helps qualified renters gather enough information to take the next serious step.
Engagement Type
White-label Google Ads strategy, account buildout, Search campaigns, Performance Max, Display campaigns, competitor targeting, remarketing, call ads, WordPress form-conversion tracking, keyword expansion, negative-keyword management, audience optimization, bid-strategy testing, campaign restructuring, budget allocation, and ongoing performance reporting.
Need a Google Ads system that helps renters move from initial search to property shortlist?
SwiftPropel builds paid acquisition systems that connect search demand, renter research, unit-level relevance, and measurable contact actions into one structured growth engine.

Vijay Sood is a seasoned digital marketer with a passion for driving online growth and innovation. With a robust background in developing and executing comprehensive digital strategies, Vijay excels in leveraging SEO, content marketing, and social media to boost brand visibility and engagement. His expertise lies in transforming data-driven insights into actionable marketing campaigns, helping businesses achieve their digital objectives.


