Driving Growth by Creating a Tailored Journey
2024
Blibli is an Indonesian e-commerce platforms, offering a diversified range of products from retail goods to digital payment products.
This case study focuses redefining the shopping experience for Blibli’s high-performing category clusters: Groceries, Gadgets & Electronics, and Fashion & Beauty, to drive engagement, conversion, and retention through tailored user journeys.
As the Design Lead, I collaborated closely with PMs, Devs, Marketing, and Commercial teams to shape strategy, align insights, and drive collective improvements across the user experience—while also leading the design of key user flows.
Background Problems
& Opportunities
↓ 30% in transacting users (Q4 2022 → Q4 2023)
↓ 10% in conversion rate (Q3 2022 → Q3 2023)
↓ average monthly new customers acquisition & low retention rate
From 17 categories, we identified 3 key clusters with overlapping traits, purchase patterns, and growth potential:
- 🍎 Groceries: Bliblimart, Health & Beauty
- 💻 Gadgets & Electronics: Handphone & Gadget, Computer & Gaming, Camera, Electronic
- 👕 Fashion & Beauty: Women’s Fashion, Men’s Fashion, Muslim Fashion, Sports & Outdoor Activities, Watch, Mom & Kids
Building on this insight, our goal is to position Blibli as the go-to destination for these destination categories by driving improvements across 3 key pillars with shared KPIs:
-
MARKETING
Increase visibility and relevance through targeted campaigns
-> attracting new users to the platform
- COMMERCIAL
Improve product assortment, pricing, and promotions-> driving stronger purchase consideration and competitiveness
-
PRODUCT (our scope & focus)
Deliver a seamless, end-to-end shopping journey
-> improving product discovery and supporting confident purchasing decisions
which contributed to shared business KPIs:
-
Increase active users — expand the customer base and deepen engagement.
-
Boost conversion rates — turn more visitors into paying customers.
- Grow customer lifetime value — encourage more frequent and higher-value transactions.
Discovery & Research
Methodology:
- Qualitative user interviews
- Focus group discussion with internal stakeholders
-
Category performance rate and funnel analytics
- Competitor benchmarking
Research Findings
🍎 Groceries
💻 Gadget & Electronic
👕 Fashion & Beauty
Repeat purchases
High consideration purchases
Trend driven shopping
Low - medium basket
High basket
Medium - High basket
convenience focused
Focus on specs, videos, reviews
Social validation
familiar products
Product comparison
Curated collection & inspirations
Free gift / bundle
Design Solution
❶ Develop customized catalog journeys
for each destination category
Tailor the browsing and discovery flow for each Destination Category that aligns with user intent and behavior during product explorationSuch as search entry points (store- vs brand-centric), purchase modes (planned vs impulse), and information needs (specs, videos, reviews, etc.).
Customized Landing Page
❷ Design behavior-driven experiences
Adapt the interface and content based on category-specific patterns.
Provide tailored filter suggestion to narrow down product search.
Product Card Content Hierarchy
Delivery
& Limitation
Understanding Technical Architecture and Legacy System
Given time and bandwidth constraints, we focused on enhancing the existing system and pages rather than building everything from scratch—identifying which pages required less technical effort, while ensuring the overall journey remained seamless.Developing 3 customized landing pages through the Content Management System (CMS)
Leveraging existing components while defining new requirements or creating new components as needed.- Reached an average CTR of 56.3%, almost double than the old category pages.
- With the introduction of Add-to-Bag on the product card, traffic is increasingly split toward direct Add-to-Bag actions, bypassing PDP.
- Average Basket Size: Increased from 1.48 to 2.36 items per session
- Maximum Basket Size: Increased from 3 to 5 items per session