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Nano-Influencer Campaign & ROI Optimizer

End-to-End Data Analytics Platform for Beauty & FMCG Marketing

Live Demo


Project Overview

This project provides a data-driven framework for a leading Marketing Technology platform to optimize nano-influencer campaigns across global markets.
By integrating campaign performance with commercial cost data, the solution identifies high-yield markets and cost-efficient reward structures to maximize Return on Investment (ROI).


Key Findings (The Deep-Dive)

Market Performance Analysis

Using data from 2,500+ campaign posts, the analysis identified France and UAE as the top-performing markets by engagement efficiency.

Market Avg Engagement Rate (%) Cost Per Engagement (CPE) Total Spend
France 6.97% $0.23 $32,945
UAE 6.90% $0.26 $26,415
UK 5.09% $0.29 $33,645
Germany 5.01% $0.34 $31,595
USA 5.02% $0.39 $33,300

Reward Type Efficiency (ROI)

We analyzed which Advocacy Rewards generate the highest engagement per dollar spent:

  • Sample Products → $0.07 CPE (Highest Efficiency)
  • Full Size Sets → $0.24 CPE
  • Exclusive Kits → $0.58 CPE

Strategic Business Recommendations

Based on the analysis, the following tactical actions are recommended for Customer Success and Product teams:

  • Scale High-Reach Markets
    Double down on nano-influencer recruitment in France, which shows the highest organic reach (6.97% ER) and lowest entry cost.

  • Optimize Reward ROI
    Shift budget toward Sample Product rewards during initial recruitment.
    These yield the lowest CPE ($0.07) — enabling 3.4× more engagement than Full Size sets for the same budget.

  • Refine Product KPIs
    For Skincare brands, prioritize Saves over Likes, as Saves indicate stronger long-term purchase intent and community health.


Technical Implementation

  • ETL Pipeline
    Merged raw campaign events with creator demographics using Python and Pandas.

  • Feature Engineering
    Developed custom ROI metrics, including:

    • Cost Per Engagement (CPE)
    • Market-weighted Engagement Rates
  • Interactive Dashboard
    Built a Streamlit application enabling real-time campaign optimization for non-technical stakeholders.


Business Impact

This solution empowers marketing teams to:

  • Identify high-performing global markets
  • Reduce campaign acquisition costs
  • Improve ROI through data-driven reward optimization
  • Enable real-time strategic decision-making

Author

Aklilu Abera D. Data Analyst | Marketing Analytics | ROI Optimization |

About

An end-to-end data analytics platform analyzing nano-influencer performance across 40+ markets. Built with Python and Streamlit, it features automated ETL pipelines, sentiment-weighted engagement tracking, and strategic budget-allocation modeling

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