Topic 3.2: Daraz Product Hunting (Product Research)

Date

October 22, 2026

Time

04:00 PM Karachi

Duration

60 Minutes

Learning Outcomes

By the end of this 45-minute session, you will be able to:

Execute Native Market Research: Use Daraz search mechanics and auto-suggest data to uncover high-demand search terms.

Identify Market Deficiencies: Analyze negative customer reviews on top-selling listings to engineer superior product offers or better packaging.

Capitalize on Emerging Trends: Spot viral social media products early and validate their search demand on regional marketplaces.

Audit Competitor Dominance: Evaluate competitor listing strength, pricing power, and review depth to avoid over-saturated product categories.

Construct a Data-Driven Selection Matrix: Score potential product opportunities using a structured validation checklist before committing sourcing capital.

Session Agenda

(00:00 – 00:08) Research Mindset & Demand Validation: Transitioning from passive browsing to structured product research—identifying real consumer friction points versus trend bubbles.

(00:08 – 00:18) The Keyword Search Bar Method (Reverse Engineering): Utilizing Daraz auto-complete, high-volume search queries, and category tree exploration to discover hidden product sub-niches.

(00:18 – 00:28) Competitor Listing Audits & Opportunity Gaps: Scraping top seller listings to analyze review sentiment, low-rating complaints, listing flaws, and missing bundle offers.

(00:28 – 00:37) Cross-Platform Trend Spotting: Identifying viral product trends on TikTok, Instagram Reels, and AliExpress before they reach peak saturation on Daraz.

(00:37 – 00:45) Building the Product Validation Scorecard: Synthesizing price stability, seller density, review counts, and local sourcing availability into a final go/no-go rating.