A/B Testing

Media A/B Testing for Ad Headline Optimization
Client
Nike, Peloton, Critical Mass
YeAr
2022 - 2025
Category
Experimentation & Causal Inference
Service
Increasing Revenue / ROI
A/B Testing
Tools / Languages Used
  • Meta Ads Manager & Google Ads for experiment setup
  • Python (Pandas, SciPy, Statsmodels) for statistical analysis
  • SQL for campaign performance extraction
  • Tableau for visualization and stakeholder reporting
Technical Skills
  • Digital experiment design and randomization
  • Statistical testing (two-proportion z-test)
  • ROAS, CTR, CPC
  • ROI reporting and data visualization
Soft Skills
  • Collaboration with marketing and creative teams
  • Translating behavioral insights into messaging strategy
  • Communicating results to non-technical stakeholders
  • Building an experimentation mindset within the team
Step 1: Exploratory Data ANalysis
  • Analyzed historical campaign data to identify variability in performance across creative headlines.
  • Found that ads using emotive or benefit-led copy (“Save time every day”) had higher CTR but inconsistent conversions.
  • Determined a need to validate headline messaging effectiveness with controlled testing.
Step 2: Solution Design
  • Defined hypothesis: Headline emphasizing customer benefit will outperform feature-based headline in CTR and conversions.
  • Created two ad variants with identical visuals, targeting, and spend, differing only by headline text in the creative.
  • Primary KPI: Return on ad spend (ROAS)
  • Secondary KPIs: Click-through rate (CTR), and cost per click (CPC)
  • Ran the test for 3 weeks across Facebook and Instagram placements with even audience distribution.
Step 3: Model Assessment
  • After 3 weeks of equal spend:
    • Variant A (Feature-Focused): CTR 1.82%, CVR 3.1%
    • Variant B (Benefit-Focused): CTR 2.14%, CVR 3.6%
    • p-value = 0.012 → statistically significant improvement in CTR
  • Conversion rate uplift was directionally positive but not statistically significant (p = 0.09).
  • Post-hoc analysis showed stronger response among mobile users and younger demographics.
Step 4: Results / How It’s Used
  • Benefit-focused headline drove ~18% higher CTR and improved engagement quality.
  • Insights informed copywriting guidelines for future ad campaigns — focusing on emotional and outcome-driven messaging.
  • Marketing team reallocated 40% of creative testing budget toward headline experimentation.
  • The test framework was expanded to include CTA text and value proposition wording in upcoming campaigns.
  • Benefit-focused headline drove ~18% higher CTR and improved engagement quality.
  • Insights informed copywriting guidelines for future ad campaigns — focusing on emotional and outcome-driven messaging.
  • Marketing team reallocated 40% of creative testing budget toward headline experimentation.
  • The test framework was expanded to include CTA text and value proposition wording in upcoming campaigns.