Paid Advertising

Paid advertising is the right lever when you have a specific, time-boxed demand problem: a new building opening, a seasonal occupancy dip, a new city launch, or a room type that consistently sits empty. It buys speed — you can be in front of 'coliving [city]' searchers tomorrow morning. It is the wrong lever when the problem is upstream: pricing that's out of line with the local market, listing photos that undersell the space, a slow inquiry-to-tour process, or a website that loses mobile visitors before the inquiry form. Ads pointed at those problems just make you pay to discover them at scale. It's also usually the wrong first move when your occupancy is already above ~90% and stable — at that point, budget compounds better in direct-booking infrastructure and organic visibility than in auctions. Our audit starts by classifying which problem you actually have. Roughly a third of the operators we've assessed over the years didn't need ads first; they needed the funnel behind the ads fixed. We tell you that up front, because launching campaigns onto a broken funnel is the most expensive way to run an agency relationship — for you, and eventually for us.

Coliving search demand is hyper-local and room-type specific, so the account has to be too. We structure Google Search accounts city by city, with separate ad groups for the query families that actually convert: '[city] coliving', 'shared apartment [neighborhood]', 'furnished room [city] all bills included', 'private room shared house [city]'. Each ad group gets its own ad copy naming the city and the offer, and its own landing page — someone searching 'ensuite room Shoreditch' should never land on a generic homepage. The negative keyword layer matters as much as the keywords themselves. Coliving queries sit next to enormous volumes of wrong-intent traffic: 'coliving jobs', 'what is coliving', 'coliving business model', student-dorm searches, and vacation-rental lookers. Without a maintained negative list, these queries quietly eat 20–40% of budget in the account audits we run — it's the single most common source of waste we find in inherited accounts. Real-estate CPCs are climbing (up ~27% year over year in WordStream's 2026 benchmark data), which makes query hygiene the difference between a campaign that pays back and one that doesn't. Meta campaigns follow the same discipline in audience form: prospecting segmented by city and life stage, retargeting segmented by how far someone got — page visitors, inquiry-starters, tour no-shows — each with a message matched to where they dropped off.

In the past years we tested Google's Performance Max — the fully automated, goes-everywhere campaign type Google recommends by default — head-to-head against our structured search campaigns on one of our own coliving brands. Same market, same landing pages, same conversion tracking. PMax produced a stream of cheap-looking conversions that didn't turn into tours, spent into display and video placements we couldn't see or control, and reported it all through an interface designed to hide the query- and placement-level detail. Structured search, with its unglamorous exact-match keywords and negative lists, produced fewer leads that became more tours and more leases at a lower true cost per lease. We shut PMax down and we say so publicly, because the incentive structure here is worth understanding: automated campaign types are easier for agencies to run at scale, and Google's own interface nudges every advertiser toward them. Neither of those facts makes them right for a niche, high-consideration, hyper-local product like a coliving room. The broader lesson we carry into every account: automation is a tool you graduate into once clean conversion data exists, not a starting point — and any campaign whose spend you can't decompose is a campaign you can't trust.

Ad platforms grade their own homework. Google and Meta will both happily report 'conversions' that are form-fills from people who never toured, duplicate inquiries, or — in automated campaigns — engagements several steps removed from anyone renting a room. We measure against the only funnel that matters to an operator: click → inquiry → tour booked → application → signed lease, with the lease value and expected tenancy length attached. Practically, that means wiring ad click IDs through your inquiry forms into whatever system you manage tenants in, and reconciling weekly. Because we build on Growtify, our own platform, this pipeline is standard plumbing for us rather than a custom integration project — but we've wired it into operators' existing CRMs and PMS setups too. The numbers we optimize toward and report on: cost per tour, tour-to-lease rate by campaign, cost per signed lease, and payback period (months of rent needed to recoup the acquisition cost). A campaign with a $9 cost per lead and a 1% lead-to-lease rate is worse than one at $40 per lead converting at 10% — lead-level reporting hides that, lease-level reporting exposes it. This is also the honest answer to 'what's a good ROAS for coliving': it depends entirely on tenancy length, and anyone quoting a universal multiple isn't doing the math on your product.

There's a strategic reason to run paid search beyond filling this month's rooms: owning your demand. Coliving is drifting toward the hospitality pattern, where intermediary platforms capture the search demand and charge for access to it. Skift Research's work on hotel distribution documents where that road ends — independent operators paying 15–25% commission per booking to OTAs while big brands negotiate 10–15%, and an industry now spending heavily to claw back direct share. Every 'coliving [your city]' search that a listing platform wins today is a tenant whose renewal, referrals, and relationship belong to the platform, not to you. Paid search is the fastest way to contest those searches under your own brand while your organic visibility compounds. We run Rentser, our own room-rental marketplace with a 143-page programmatic search engine, so we understand exactly how platforms capture this demand — and we use that knowledge to help operators win it back. The goal isn't zero platform bookings; platforms are useful fill. The goal is a direct channel strong enough that platforms are a choice, not a dependency.

Before launch, we agree three numbers in writing: a monthly budget cap, a maximum acceptable cost per tour, and a maximum cost per signed lease derived from your void cost and average tenancy value. These are guardrails, not aspirations — if a campaign breaches them past the agreed review window and structural fixes don't recover it, it gets paused without a meeting to debate it. We also stage spend deliberately: the first month runs at reduced budget while conversion tracking is validated and query data accumulates; scaling only happens against verified lease-level data, never against platform-reported conversions. Two rules we hold that occasionally cost us revenue: we don't recommend increasing budget into a campaign whose funnel leaks (fix the leak first), and we don't take a percentage of ad spend as our fee structure for management — pricing that rewards the agency for spending more is misaligned with an operator whose goal is full buildings at minimum cost. For orientation on market prices rather than promises: LocaliQ's 2025 industry benchmarks put real-estate cost per lead at roughly $100 on average, and CPCs in the category rose about 27% year over year in the 2026 data. Coliving-specific terms often price below broad real-estate terms, but plan with the trendline in mind: auctions get more expensive, which makes structure and query hygiene compound in value every year.