How Design Boosted LTV in the 58 Home Service App: A Data‑Driven Case Study
This article explains the concepts of LTV and CAC, shows how the 58 Home Service app used design interventions to improve retention and conversion rates, breaks down LTV into actionable metrics, and demonstrates the resulting increase in user lifetime value.
01 What is LTV?
LTV (Life Time Value) is the total economic benefit a company gains from a user over the entire lifecycle, from registration to uninstall.
LTV calculation: LTV = LT * ARPU
LT (Life Time) is the average lifespan of a user, the period between first and last use.
ARPU (Average Revenue Per User) is the average revenue per user.
02 Why Look at LTV?
We can use the LTV/CAC ratio to assess product health. Generally:
LTV > CAC: product has growth potential and clear monetization.
LTV < CAC: product is early stage or failing monetization, needs reassessment.
LTV/CAC = 3: optimal health; lower indicates low conversion efficiency, higher indicates overly conservative market expansion.
CAC (Customer Acquisition Cost) is the cost to acquire a new user.
58 Home Service App Example
58 Home Service App launched in August, integrating main services. LTV and CAC were used to evaluate the product.
03 How to Decompose Product LTV into Design Goals?
Expanding LTV = LT * ARPU, we further break down:
LT (average user lifespan) = 1 + next‑day retention + 3‑day retention + … + n‑day retention
ARPU = total revenue / active users = (users × conversion rate × average order value) / active users
Thus four key metrics related to design are identified: Retention Rate, User Count, Conversion Rate, and Average Order Value. Improving any of these lifts overall LTV.
Improving Retention – Growth Center Design
Growth Center Phase 1 added a points system with sign‑in and tasks to encourage frequent app visits.
Key optimizations:
Strengthened entry points on home tab, top shortcuts, and personal center.
Added new‑user guided onboarding with instant points.
Moved sign‑in from automatic pop‑up to manual, visible button in task area.
Introduced special sign‑in rewards on days 3 and 7.
Enhanced push reminders and motivational copy.
Refined UI details (coin animation, clear reward display) to boost participation.
Improving Conversion – Optimizing the Golden Conversion Funnel
The core funnel: Home → List → Detail → Order.
Home page optimizations for three user types:
Goal‑oriented users: highlighted search box with rotating hot queries, prominent search button, direct search execution.
Browsing users: moved feed tab up, enriched feed with service‑specific SKUs.
Casual users: added more engaging content.
Result: Home search CTR increased by ~50%; feed CTR also rose significantly, leading to higher downstream conversion.
List‑to‑Detail‑to‑Order optimizations focused on price and discount visibility, reinforcing special offers for new users throughout the flow.
Result: Conversion rate across the entire funnel improved markedly.
Overall Impact
Through design interventions targeting retention and conversion, key metrics showed substantial gains, doubling retention and markedly increasing conversion, thereby raising LTV and demonstrating the business value of design.
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