Marketing Campaign Performance

import matplotlib.pyplot as plt
import numpy as np

# Marketing campaign performance
categories = ['Reach', 'Engagement', 'Conversion', 'ROI', 'Brand Lift', 'Retention']
campaign_q1 = [78, 65, 55, 72, 60, 68]
campaign_q2 = [85, 82, 68, 88, 75, 78]
campaign_q3 = [92, 88, 78, 95, 85, 85]

N = len(categories)
angles = np.linspace(0, 2 * np.pi, N, endpoint=False).tolist()
angles += angles[:1]

campaign_q1 += campaign_q1[:1]
campaign_q2 += campaign_q2[:1]
campaign_q3 += campaign_q3[:1]

fig, ax = plt.subplots(figsize=(8, 8), subplot_kw=dict(polar=True), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

ax.plot(angles, campaign_q1, 'o-', linewidth=2.5, color='#9ca3af', label='Q1 2024', markersize=7)
ax.fill(angles, campaign_q1, alpha=0.15, color='#9ca3af')

ax.plot(angles, campaign_q2, 's-', linewidth=2.5, color='#F5B027', label='Q2 2024', markersize=7)
ax.fill(angles, campaign_q2, alpha=0.2, color='#F5B027')

ax.plot(angles, campaign_q3, '^-', linewidth=2.5, color='#27D3F5', label='Q3 2024', markersize=7)
ax.fill(angles, campaign_q3, alpha=0.2, color='#27D3F5')

ax.set_xticks(angles[:-1])
ax.set_xticklabels(categories, fontsize=11, color='#374151', fontweight='500')
ax.set_ylim(0, 100)
ax.set_yticks([25, 50, 75, 100])
ax.set_yticklabels(['25', '50', '75', '100'], fontsize=9, color='#6b7280')
ax.yaxis.grid(True, color='#e5e7eb', linestyle='-', linewidth=0.8)
ax.xaxis.grid(True, color='#e5e7eb', linestyle='-', linewidth=0.8)

ax.legend(loc='upper right', bbox_to_anchor=(1.2, 1.1), fontsize=10,
          facecolor='#ffffff', edgecolor='#e5e7eb')
plt.title('Marketing Campaign Performance', fontsize=16, color='#1f2937', 
          fontweight='bold', pad=20)

plt.tight_layout()
plt.show()