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Adithya Reddy

Case study

Meta A/B testing and analytics at a design studio

Lower client cost per lead and replace manual weekly reporting.
  • Lower cost per lead

    Result

  • Annual ad-cost savings

    Result

  • Higher conversion rate

    Result

  • Weekly reporting and outreach hours automated

    Result

Client
a design studio
My role
Marketing Analytics Analyst
Period
Mar 2023 to Mar 2024

Challenge

Lower client cost per lead and replace manual weekly reporting.

What I did

  1. Ran statistically significant Meta A/B tests across multiple clients
  2. Used cohort analysis and customer segmentation in Python (Pandas)
  3. Built weekly Power BI dashboards (DAX, SQL) tracking CPL, CTR and ROAS
  4. Automated reporting and outreach work

Results

What changed

  • Lower cost per lead

  • Annual ad-cost savings

  • Higher conversion rate

  • Weekly reporting and outreach hours automated

Tools used

  • Meta Ads
  • Power BI
  • Python
  • SQL
  • Pandas

Related

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Related service

Meta Ads & Performance Marketing

Structured Meta ads A/B testing and performance marketing to lower cost per lead. Hyderabad-based, working with businesses across India.

Learn more about Meta ads & performance

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