Social Media Advertising Performance Analysis: Facebook vs Instagram

Author

Xavier Ayala

Introduction

This project analyzes advertising performance across Facebook and Instagram using campaigns from major gym brands including Planet Fitness, Crunch Fitness, Orangetheory Fitness, and Anytime Fitness.

The goal is to determine which platform performs better for advertisers by examining relationships between key marketing metrics such as impressions, spend, click-through rate (CTR), and conversion rate (CVR).

Impressions vs Conversions

Key Findings

  • Facebook shows a slight positive relationship: more impressions → more conversions.

  • Instagram shows a slight negative trend: more impressions do not improve conversions and may reduce them.

  • Both platforms show wide dispersion, meaning impressions alone are not predictive.

Interpretation

This suggests:

  • For Facebook, increasing reach may still help drive conversions.

  • For Instagram, overexposure may reduce effectiveness (ad fatigue or less targeted reach).

  • Overall, impressions are a weak predictor of performance.

**Marketing Insight:**\
Visibility alone is insufficient—audience relevance is more important than reach.

Spend vs Conversions

Key Findings

  • Both platforms show a slight negative or weak relationship between spend and conversions.

  • Increasing spend does not consistently increase conversions.

  • Instagram generally achieves higher conversions at similar or lower spend levels compared to Facebook.

  • There is high variability, especially at higher spend levels.

Interpretation

This indicates:

  • Diminishing returns on ad spend—after a certain point, spending more does not improve results.

  • Campaign efficiency is not purely budget-driven, but depends on targeting and creative quality.

  • Instagram may be more cost-efficient, delivering stronger results per dollar.

Marketing Insight:
More budget does not guarantee better outcomes—optimization matters more than scale.

CTR vs CVR

Key Findings

  • There is a negative relationship between CTR and CVR across both platforms.

  • As CTR increases, conversion rate tends to decrease.

  • Facebook shows more variability, including some high CVR outliers at low CTR.

  • Instagram appears more consistent, but still follows the same downward trend.

Interpretation

This suggests:

  • Ads that attract a lot of clicks are not necessarily attracting high-quality users.

  • High CTR may indicate broad or less-targeted appeal, leading to lower conversion efficiency.

  • Lower CTR campaigns may be more targeted, attracting users who are more likely to convert.

Marketing Insight:
Click volume ≠ customer quality. Advertisers should prioritize qualified traffic over high click rates.

Final Conclusion

This analysis evaluated advertising effectiveness across Facebook and Instagram using three key relationships: CTR vs conversion rate, ad spend vs conversions, and impressions vs conversions.

Across all models, a consistent pattern emerges: higher input metrics (clicks, spend, impressions) do not reliably translate into better outcomes.

  • The negative relationship between CTR and CVR indicates that higher engagement does not necessarily reflect higher-quality traffic.

  • The weak relationship between spend and conversions highlights diminishing returns and inefficiencies in scaling ad budgets.

  • The inconsistent relationship between impressions and conversions suggests that reach alone is not a strong driver of performance.

When comparing platforms:

  • Instagram appears more efficient, often generating higher conversions at similar or lower spend levels.

  • Facebook shows more variability, with occasional strong performance but less consistency.

Overall Insight

The most effective advertising strategy is not maximizing visibility or clicks, but rather:

  • targeting the right audience

  • optimizing conversion quality

  • maintaining cost efficiency

Final Verdict:
Instagram demonstrates stronger efficiency and consistency, making it the better platform for advertisers in this dataset, while Facebook may still offer value through reach but requires more optimization.