Zabbi - LogiCorns
Zabbi Case Study
CASE STUDY

Zabbi

Zabbi Case Study

We helped Zabbi turn paid media into a stronger nationwide eCommerce acquisition system by improving product prioritization, audience quality, purchase tracking, and campaign structure across premium furniture categories.

The account reached a 7.39X ROAS, reduced average cost per purchase to approximately PKR 4,500, and delivered a 19% increase in sales while expanding paid demand across Pakistan.

Zabbi Case Study

7.39X

Return on Ad Spend

PKR 4,500

Average Cost per Purchase

19%

Increase in Sales

Pakistan

Nationwide Sales Coverage

Zabbi Case Study
ABOUT ZABBI

Premium Furniture Built for Modern Homes

Zabbi is a Pakistan-based furniture brand offering design-led tables, mirrors, seating, storage, and statement home pieces for customers seeking premium contemporary interiors.

The catalogue includes both visually distinctive hero products and broader supporting collections, which creates different purchase considerations across price, room type, design style, and customer intent.

That made paid acquisition a quality problem as much as a volume problem. The campaigns needed to attract buyers with genuine purchase intent while avoiding low-value traffic and weak order quality.

THE CHALLENGE

Growing Sales Without Chasing Cheap Orders

Premium furniture can generate attractive click-through rates while still producing poor commercial outcomes if campaigns optimize toward low-quality traffic or weak purchase intent.

The challenge was to improve real order quality, keep acquisition economics healthy, and scale beyond individual cities without diluting customer fit.

Key challenges included:
01

High-Ticket Products

Higher prices meant every purchase required stronger trust and buying intent.

02

Order Quality Concerns

Low-intent and invalid orders could significantly distort overall campaign performance.

03

Uneven Product Demand

Some furniture pieces showed commercial potential than others.

04

Nationwide Expansion

Scaling beyond core cities required tighter audience and delivery relevance.

05

Creative Dependence

Visual presentation strongly influenced whether premium products felt worth the price.

Opportunity: Build a purchase-led acquisition system where product quality, audience intent, and confirmed sales mattered more than low-cost clicks or unqualified orders.

WHAT WE DID

From Product Promotion to Performance Engine

We turned the catalogue into a structured testing system so each product, audience, and campaign had to prove commercial value before receiving more budget.

01

Product Prioritization Strategy

We identified hero products with stronger visual appeal and clearer purchase potential instead of advertising the entire catalogue equally.

  • Hero product selection
  • Revenue contribution
  • Margin potential
  • Purchase intent

02

Audience Quality Control

We refined targeting around customers more likely to afford and value premium furniture rather than optimizing for the cheapest conversion.

  • Premium locations
  • Higher-intent audiences
  • Engagement signals
  • Low-quality exclusions

03

Creative Testing System

We tested product-first visuals that clearly communicated material, scale, styling, and premium positioning more effectively overall.

  • Lifestyle imagery
  • Product close-ups
  • Interior settings
  • Value-led messaging

04

Sales Campaign Structure

We separated products and audience themes so performance could be evaluated without weaker items hiding opportunities.

  • Product-level ad sets
  • City-based testing
  • Retargeting groups
  • Purchase optimization

05

Search Demand Capture

We used Google to capture shoppers already searching for furniture categories and product-specific purchase solutions.

  • Furniture category terms
  • Product-intent searches
  • Brand searches
  • Negative keywords

06

Purchase Tracking System

We aligned campaign optimization with completed order and revenue signals so scaling decisions stayed commercially grounded.

  • Purchase events
  • Revenue values
  • Channel attribution
  • Tracking validation
Performance Timeline

From Product Testing to Nationwide Growth

PHASE 1

Find Winning Products

Focus: Identify products and audiences capable of producing real purchase activity.

  • Audit catalogue
  • Launch hero tests
  • Validate tracking
  • Build audience groups

PHASE 2

Improve Buyer Quality

Focus: Reduce weak orders and move spend toward stronger customer intent.

  • Refine locations
  • Exclude weak segments
  • Refresh creative
  • Review order quality

PHASE 3

Scale Proven Revenue

Focus: Increase budget where purchase cost and ROAS remained commercially healthy.

  • Scale hero products
  • Expand retargeting
  • Grow search coverage
  • Reallocate budget

ONGOING

Protect Profitable Growth

Focus: Maintain return while expanding product and geographic opportunities.

  • Monitor ROAS
  • Track purchase cost
  • Refresh creatives
  • Test new products

BEFORE VS AFTER

From Cheap Conversions to Better Customers

The biggest shift was changing the definition of success from generating orders at any cost to generating purchases with stronger customer quality and sustainable revenue economics.

BEFORE

AFTER

KEY METRICS WE TRACK

The Numbers That Protect Profitable Growth

These are the operating metrics used to judge whether product demand, customer quality, and additional budget remain commercially healthy.

BUSINESS IMPACT

What the Results Meant for the Business

More Profitable Sales

A 7.39X ROAS created stronger economics for continued eCommerce investment.

Better Customer Quality

Campaign decisions increasingly favored genuine buyers over low-value conversions.

Smarter Product Decisions

Paid media data revealed which products deserved more inventory and promotion across channels.

Nationwide Market Reach

The acquisition system consistently supported sales beyond core cities and across Pakistan.

Stronger Brand Positioning

Premium creative helped align customer expectations with product pricing and design value.

WHY META + GOOGLE WORKED TOGETHER

Why Discovery and Purchase Intent Needed Different Channels

Furniture buyers do not all begin with a direct product search.

Some customers discover a statement piece because strong creative creates desire. Others already know the category or product they want and search with much stronger purchase intent.

Meta helped Zabbi create demand and re-engage interested shoppers. Google helped capture existing demand. Together, they created a broader acquisition system built around completed purchases and revenue rather than traffic alone.

Create desire → Capture intent → Validate purchases → Prioritize winning products → Scale where ROAS holds

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READY TO GROW

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