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Performance Marketing · Customer Research · Funnel Analysis

Customer Review Insight Analysis

Organization
OOA Inc.
Period
Aug – Dec 2023
Role
Performance Marketing Intern
Key Result
20% CTR Increase
Type
Customer Data Analysis

Analyzed 1,000+ qualitative reviews to bridge the gap between technical product specs and actual customer pain points. Translated those findings into acquisition messaging and landing-page hypotheses, contributing to a 20% CTR increase.

Background & Problem

After the predictive model-based campaigns successfully drove traffic, the website experienced unsustainably high bounce rates. Analysis revealed a significant messaging disconnect: the website was heavily focused on "Provider Language" — emphasizing fabric technology and manufacturing specs — while completely missing the emotional and functional solutions customers were actually looking for.

Strategy

The strategy was to convert qualitative feedback into a repeatable customer-insight workflow: mine reviews, identify recurring needs, form messaging hypotheses, and test those hypotheses across acquisition touchpoints.

Messaging pivot — provider language → customer language

❌ Provider Language (Before)
🏭"Non-wired bra with 4-way stretch fabric"
🏭"Moisture-wicking polyester blend"
🏭"Seamless construction technology"
🏭"Double-layered inner cup"
✓ Customer Language (After)
💬"No wire, but actually holds you in place"
💬"Wear all day without adjusting"
💬"Finally comfortable in a plus size"
💬"Looks good under everything"

Execution

Execution flow

01
🔍
Review Mining
Categorized 1,000+ reviews. Found key segment: plus-size customers wanting wire-free with real support.
02
✍️
Message Hypotheses
Turned recurring customer needs into testable, customer-led message hypotheses.
03
📸
Campaign Testing
Applied the hypotheses to campaign variants and monitored click-through performance.
04
📄
Landing Page UX
Overhauled product detail pages with customer-centric messaging to reduce post-click drop-off.

My Role

I led the qualitative analysis: categorized 1,000+ reviews, synthesized recurring customer needs, and translated the findings into acquisition-messaging and landing-page hypotheses. I also monitored campaign performance to assess their effect on engagement.

Results

  • Engagement Growth: Successfully increased ad CTR consistently from 3.5% (Aug) to a peak of 4.2% (Dec).
  • Funnel Optimization: Significantly lowered the bounce rate and improved CVR by aligning expectations between acquisition messaging and the landing page.
  • Scalable Framework: Established a repeatable, review-driven workflow for future customer-insight and messaging tests.
1,000+
Reviews Analyzed
4.2%
Max Dec CTR
20%
CTR Growth
86%
Traffic Growth