Coliving Data and Business Insights Platform

Analytics, Business Intelligence and Real-Time Reporting for Coliving Operators

We build the analytics and business intelligence platform that connects every data point across your coliving operation, from occupancy and revenue to tenant behaviour and maintenance patterns, and surfaces it in dashboards that give your leadership team the information they need to make better decisions faster.

Industry leaders that trusted our services

Coliving operators with real-time dashboards identify occupancy problems 3 weeks earlier than those working from monthly reports

Data-driven pricing decisions improve revenue per available bed by 12 to 18% compared to fixed pricing models

Operators with tenant behaviour analytics reduce voluntary churn by 25 to 30% through early intervention

Challenges We Solve

Leadership makes decisions from monthly reports that are already 30 days out of date. By the time a report shows that occupancy at one property has been falling for three months, the problem is already serious. Real-time data changes when you can act.

No single source of truth for occupancy across the portfolio. Occupancy numbers are maintained in individual property spreadsheets that are updated inconsistently. When leadership asks for a portfolio-wide figure, someone spends a day aggregating numbers that may not even reflect the current position.

Revenue per available bed never calculated because no one has the time. The metric that matters most in coliving is almost never tracked because calculating it requires cross-referencing revenue, available beds, and occupancy data from three different places every month.

No visibility into which property, room type, or marketing channel delivers the best ROI. Without consolidated data, investment decisions about which properties to grow, which room types to prioritise, and which marketing channels to fund are made on opinion rather than evidence.

Tenant churn patterns invisible until tenants hand in notice. By the time a tenant submits a notice to vacate, the decision was made weeks ago. Operators who cannot see early churn signals have no opportunity to intervene and retain a good tenant before the decision is final.

Finance and operations data living in separate tools with no consolidated view. Your billing system shows revenue. Your operations dashboard shows maintenance tickets. Your spreadsheet shows occupancy. None of them talk to each other, and no one sees the full picture at once.

Core Capabilities We Offer

Real-Time Occupancy Dashboard

See current occupancy by bed, room, property, city, and portfolio in one live view. Occupancy updates in real time as bookings are confirmed and tenants check out. Trend lines show occupancy movement over the last 30, 60, and 90 days. Vacancy clusters by floor level, room type, or property are visible immediately without building a report.

Revenue and Financial Performance Analytics

Track revenue per available bed, average rent by room type, rent collected vs. rent invoiced, arrears aging, and cash flow by property and portfolio. Monthly, quarterly, and annual comparisons are built in. Leadership sees financial performance without requesting a report from the finance team.

Tenant Behaviour and Retention Analytics

Analyse tenant tenure distribution, renewal rates, early exit patterns, and maintenance request frequency by tenant segment. Identify which tenant profiles stay longest, which properties have the best retention, and which lease terms correlate with the lowest churn. Intervene early with data, not guesswork.

Marketing and Lead Source Performance

Connect your lead pipeline data to booking outcomes and track conversion rate, inquiry-to-booking time, and cost per booking by channel. See which listing platform, paid campaign, or referral source fills your beds at the lowest cost with the best tenant quality. Shift marketing spend to what the data supports.

Maintenance and Operations Analytics

Track maintenance ticket volume, resolution time, recurring issues by unit and property, and cost per maintenance event. Operations analytics identify which properties are underperforming on quality, which equipment is generating repeat failure costs, and which team members are resolving tickets fastest.

Custom Reports and Investor Dashboards

Build custom reports for specific audiences: property-level P&L for investors, city-level performance summaries for regional managers, and portfolio-wide KPI dashboards for leadership. Reports schedule automatically and deliver to the right inbox at the right time without manual preparation.

Segments We Serve

Multi-Property Coliving Operators

Operators managing three or more properties who need consolidated data across all locations to make portfolio-level investment, staffing, and pricing decisions from one analytics platform.

Investor-Backed Coliving Businesses

Funded coliving operators who need investor-grade reporting with consistent KPIs, auditable data, and performance dashboards that demonstrate operational maturity to their board and investors.

Branded Coliving Chains

Brand-driven operators who need data on how different properties, room types, and tenant profiles perform against brand standards, so they can replicate what works and correct what does not.

Student Housing Providers

Student housing operators with seasonal occupancy patterns who need analytics that distinguish term-time performance from holiday vacancy, and inform next-year's pricing and marketing strategy.

Corporate Coliving Operators

Operators with corporate clients who need account-level revenue reporting, utilisation analysis by company, and renewal forecasts by corporate contract cycle.

Real Estate Groups and Fund Managers

Property groups and fund managers overseeing coliving as an asset class who need portfolio performance data in formats compatible with real estate investment reporting standards.

AI-Powered Business Intelligence

AI Occupancy Forecasting

AI analyses current bookings, historical occupancy patterns, local events, and seasonal demand signals to forecast occupancy at the property and portfolio level for the next 30, 60, and 90 days. You see vacancy risk before it becomes an actual vacancy.

AI Revenue Optimisation Recommendations

AI monitors revenue per available bed against market demand signals and recommends room-level pricing adjustments that maximise yield. Operators using AI pricing recommendations report 12 to 18% improvement in revenue per available bed over fixed pricing.

AI Churn Prediction

AI monitors tenant engagement signals, maintenance request frequency, lease timeline, and payment behaviour to predict which tenants are likely to leave before their lease ends. Retention workflows trigger automatically for at-risk tenants identified by the model.

AI Anomaly and Fraud Detection

AI monitors transaction patterns, booking behaviour, and operational data for anomalies that may indicate payment fraud, data entry errors, or process deviations. Alerts surface before anomalies become financial losses or compliance issues.

Impact We Create

Occupancy problems identified 3 weeks earlier than with monthly reports Real-time dashboards surface falling occupancy as it begins, giving your leasing team time to respond before vacancy compounds. Properties that would have run at 70% occupancy stabilise at 90%.

Revenue per available bed tracked and improved systematically For the first time, your team sees the metric that actually measures coliving financial performance and has the tools to improve it through data-driven pricing and retention decisions.

Investor and board reporting automated Reports that previously took a day to prepare are generated from live dashboards in minutes. Your leadership team presents from current data, not yesterday's spreadsheet.

Marketing spend aligned to what actually converts Lead source analytics show exactly which channels deliver tenants who book, stay, and pay. Budget moves to what the data supports, not what looks busy on a report.

Tenant churn reduced through early intervention Churn prediction models identify at-risk tenants weeks before they decide to leave. Your retention team contacts them at the right moment with the right offer, not after the notice has been submitted.

Future-Ready Analytics Architecture

Data Warehouse Built for Scale

As your portfolio and data volume grow, the analytics platform scales without performance degradation. Queries that take seconds for 5 properties continue to take seconds for 50.

Connects Every Data Source

Booking data, payment data, maintenance data, marketing data, and CRM data connect to the analytics platform through APIs. Every operational system contributes to a unified data picture.

Custom KPIs for Your Business Model

The analytics platform is configured around the metrics that matter to your specific business model, whether that is RevPAB, tenant NPS, portfolio utilisation, or investor yield. You are not constrained by the metrics a generic dashboard chooses to show.

Export Ready for Any Audience

Every report and dashboard is exportable in PDF, Excel, or API format. Data flows to investor portals, board presentations, and external accounting tools without manual reformatting.