How TI Computer Built a #1-Ranking MacBook Trade-In Engine That Generated 3,800 Requests
The MacBook trade-in engine connected search visibility, price checking, and automated trade-in requests into one conversion journey.
#1
SERP Ranking Achieved
3M
Impressions Reached
200K+
Landing Page Arrivals
3.8K+
Trade-In Requests Generated
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The Situation
MacBook trade-in demand existed, but the sector was not properly captured
TI Computer saw a growing market gap in Malaysia for people wanting to trade in used MacBooks, but the journey was still fragmented and unclear.
There was demand, but no strong search-led trade-in destination that could educate users, show estimated value, collect intent, and move them into a structured trade-in process.
TI Computer needed more than a landing page. It needed a dedicated MacBook trade-in acquisition engine built for search visibility, user confidence, and automated booking flow.
The opportunity was to turn scattered MacBook trade-in demand into a structured search-to-booking engine.
Uncaptured Search Demand
People were searching for MacBook trade-in options, but TI Computer needed a stronger destination to capture them.
Unclear Trade-In Journey
Users did not have a smooth way to check value, understand the process, and take the next step.
Manual Intent Handling
Trade-in interest needed to be converted into structured requests instead of scattered enquiries.
Category Visibility Gap
TI Computer needed to become more visible and trusted in Malaysia’s MacBook trade-in search space.
What We Built
From challenge to execution
A structured breakdown of how Kawan Elite turned the situation into a working system — through clear actions, connected execution, and measurable outputs.
01
Phase 01
Positioning the Trade-In Opportunity
We shaped MacBook trade-in into a clear acquisition offer for users actively looking to sell their device.
02
Phase 02
Building the Search-Led Landing Page
We developed a focused landing page with SEO, AEO, GEO, and technical optimisation to capture high-intent search demand.
03
Phase 03
Creating the Price Checker Journey
We built a MacBook trade-in value checker so users could estimate pricing before submitting a request.
04
Phase 04
Automating the Trade-In Flow
We connected interest, booking, and inspection steps into a structured journey from search to device delivery.
The Results
What the growth engine produced
#1
SERP Ranking Achieved
The trade-in page ranked at the top for high-intent MacBook trade-in searches.
3M
Impressions Reached
Organic search and ads created strong category visibility.
200K+
Landing Page Arrivals
High-intent users were driven into the trade-in journey.
3.8K+
Trade-In Requests Generated
The automated flow converted interest into structured trade-in submissions.
Why it Mattered
Together, these outcomes helped TI Computer turn MacBook trade-in demand into a search-led acquisition engine — ranking #1, reaching 3M impressions, driving 200K arrivals, and generating 3.8K trade-in requests.
Google Review
★★★★★
"
Recommend for company need build customize website with booking & appointment function to serve their customer better.
Services Delivered
What we used to get there
Project Evidence
From the engagement
The trade-in engine ranked #1 in search with review snippet visibility for higher-intent traffic.
The landing page turned trade-in interest into a clear price-checking and request journey.
Users could filter MacBook models and check estimated trade-in value before taking action.
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Success Story Related Questions
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