Digital Marketing Channel Effectiveness

import matplotlib.pyplot as plt
import numpy as np

# Marketing channel metrics
categories = ['Reach', 'Engagement', 'Conversion Rate', 'Cost Efficiency',
              'Targeting Precision', 'Brand Building', 'Measurability', 'Speed to Market']
              
social_media = [95, 92, 65, 75, 88, 85, 90, 95]
email = [70, 75, 90, 92, 85, 60, 95, 88]
seo = [88, 60, 80, 95, 70, 90, 85, 40]
ppc = [92, 55, 85, 65, 92, 50, 98, 92]
influencer = [85, 95, 70, 55, 75, 92, 70, 80]

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

social_media += social_media[:1]
email += email[:1]
seo += seo[:1]
ppc += ppc[:1]
influencer += influencer[:1]

fig, ax = plt.subplots(figsize=(10, 10), subplot_kw=dict(polar=True), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

ax.plot(angles, social_media, 'o-', linewidth=2.5, color='#276CF5', label='Social Media', markersize=6)
ax.fill(angles, social_media, alpha=0.08, color='#276CF5')

ax.plot(angles, email, 's-', linewidth=2.5, color='#F5276C', label='Email Marketing', markersize=6)
ax.fill(angles, email, alpha=0.08, color='#F5276C')

ax.plot(angles, seo, '^-', linewidth=2.5, color='#6CF527', label='SEO/Organic', markersize=6)
ax.fill(angles, seo, alpha=0.08, color='#6CF527')

ax.plot(angles, ppc, 'D-', linewidth=2.5, color='#F5B027', label='PPC Ads', markersize=6)
ax.fill(angles, ppc, alpha=0.08, color='#F5B027')

ax.plot(angles, influencer, 'p-', linewidth=2.5, color='#5314E6', label='Influencer', markersize=7)
ax.fill(angles, influencer, alpha=0.08, color='#5314E6')

ax.set_xticks(angles[:-1])
ax.set_xticklabels(categories, fontsize=10, color='#374151', fontweight='500')
ax.set_ylim(0, 100)

ax.yaxis.grid(True, color='#e5e7eb', linestyle='-', linewidth=0.8)
ax.xaxis.grid(True, color='#d1d5db', linestyle='-', linewidth=0.5)
ax.spines['polar'].set_color('#d1d5db')

ax.set_title('Digital Marketing Channel Comparison', fontsize=16, color='#1f2937',
             fontweight='bold', pad=25)

ax.legend(loc='upper right', bbox_to_anchor=(1.25, 1.1), fontsize=9,
          frameon=True, facecolor='white', edgecolor='#e5e7eb')

plt.tight_layout()
plt.show()