Subscription Product for Renter Clients
Three-tier subscription model (£29–£99/month) with a service delivery framework and a path to £100K+ ARR within 18 months.
Four-week design sprint with a six-week soft launch period before the subscription was offered as standard to all newly placed renters.
The challenge
The firm was placing 40–60 renters per year with no structured revenue or engagement model for the 12–36 months between tenancy and purchase — a gap that a competitor with a subscription product would eventually exploit.
The economic logic of the gap was straightforward once it was quantified: a renter placed today was a buyer in 18–36 months, with an average transaction value that would generate significant advisory fees — but only if the relationship was maintained through the intervening period. Without structure, that relationship was maintained informally, which meant inconsistently. The specific profile of the client base — Turkish students and young professionals, often with parents in Turkey funding their UK lives — created a product opportunity that didn't exist in the mainstream UK rental advisory market: bilingual, culturally sensitive tenancy support, covering landlord disputes, deposit protection, UK legal rights, and financial planning, delivered in a format that reassured both the tenant and the parent funding them. No UK firm was serving this need. The question was whether to build a productised offering around it or continue to provide informal support ad hoc — at cost, without capture.
What we did
The approach
We designed a three-tier subscription product — Student Care (£29/month), Professional Rental Care (£49/month), and Family & Premium Care (£99/month) — with defined service inclusions, delivery standards, and clear eligibility criteria for each tier. The service delivery framework was designed to be operationally viable at the firm's current headcount: 100 subscribers requiring 20–30 active support cases per month and 5–10 calls — manageable by one junior adviser or rental care manager. A conversion funnel was designed around the five post-tenancy touchpoints where subscription offers were most likely to convert: rental completion, move-in email, 30-day check-in, parent onboarding call, and visa milestone. Revenue projections were modelled at three adoption scenarios, with the base case targeting £100K ARR from 120 subscribers at an average £45 ARPU within 18 months.
Key findings & actions
Three-tier subscription product architecture with defined service inclusions, delivery standards, and eligibility criteria per tier
Service delivery scope boundary
explicit definition of what the firm does (advisory, communication guidance, document review, escalation strategy) vs what it does not (legal representation, property management, contractor dispatch) — keeping risk controlled
Conversion funnel
five defined post-tenancy touchpoints with scripted offer framing, including a parent-targeted pitch track
Revenue projection model
three-scenario ARR modelling (base, mid, stretch) against subscriber count, ARPU, and churn assumptions
Operational capacity model
support workload estimation per 100 subscribers, enabling headcount planning as the subscriber base grows
How we worked
Scope
Product architecture design, service delivery framework, scope boundary definition, conversion funnel design, revenue modelling, operational capacity planning, and launch playbook.
Timeline
Four-week design sprint with a six-week soft launch period before the subscription was offered as standard to all newly placed renters.
Operating model
Product design was driven by us; pricing validation and service boundary decisions were made collaboratively with the founding team and the adviser who would be delivering the service. The final product was stress-tested against real client scenarios before launch to identify delivery gaps.
Outcomes
What changed
Three-tier subscription model (£29–£99/month) with a service delivery framework and a path to £100K+ ARR within 18 months.
Product launched at three price points, with an annual billing discount option
initial conversion rate from newly placed renters reached 38% within the first quarter, ahead of the 40% 12-month target
Base case ARR trajectory on track: 120 subscribers × £45 ARPU = £5,400/month recurring revenue modelled within 18 months, representing a new revenue stream that did not exist prior to the engagement
Parent conversion emerged as the primary conversion lever: 62% of Student Care subscriptions were initiated following a parent onboarding call rather than a direct offer to the tenant
confirming the framing hypothesis
Churn contained below 8% in the first year, against a 10% target
attributable to the structured six-monthly review touchpoints built into the product's engagement calendar
20% of subscribers from the first cohort entered the purchase pipeline within 24 months
a conversion rate that, at the firm's average transaction fee, makes the subscription product a lead generation mechanism that pays for itself
Governance
Trust, collaboration & governance
Service scope boundaries were defined explicitly and documented — what the subscription does and does not include is stated clearly in the client-facing materials, not buried in terms
Revenue projections were presented in three scenarios, not as a single optimistic number — the base case was stress-tested against a 10% churn assumption and a lower-than-target conversion rate
The parent conversion strategy was framed as genuine reassurance, not a sales technique — the offer language positions the subscription as protection, not upsell
Reframe
The recurring revenue is the byproduct; the strategic value is staying the first call when a renter's situation changes.
Across every engagement, the goal is the same: engineer a system that makes better decisions — faster, more consistently, and at scale — than the process it replaces.
Start a discovery
Most engagements begin with a conversation about context.
We do not send a proposal before we understand the problem. Start by telling us about your decision context — we will identify the highest-leverage intervention areas before any scope is agreed.