Competitor Brand Positioning Analysis

import matplotlib.pyplot as plt
import numpy as np

# Brand positioning dimensions
categories = ['Brand Awareness', 'Product Quality', 'Price Perception',
              'Customer Service', 'Innovation', 'Sustainability',
              'Distribution', 'Social Media Presence']
              
brand_a = [95, 88, 70, 85, 90, 75, 92, 88]  # Market leader
brand_b = [78, 92, 85, 90, 75, 88, 80, 72]  # Quality focused
brand_c = [70, 75, 95, 70, 65, 60, 88, 65]  # Value brand
brand_d = [65, 80, 78, 82, 95, 92, 60, 95]  # Innovator

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

brand_a += brand_a[:1]
brand_b += brand_b[:1]
brand_c += brand_c[:1]
brand_d += brand_d[:1]

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

ax.plot(angles, brand_a, 'o-', linewidth=2.5, color='#F5276C', label='Brand A (Leader)', markersize=7)
ax.fill(angles, brand_a, alpha=0.1, color='#F5276C')

ax.plot(angles, brand_b, 's-', linewidth=2.5, color='#27D3F5', label='Brand B (Quality)', markersize=7)
ax.fill(angles, brand_b, alpha=0.1, color='#27D3F5')

ax.plot(angles, brand_c, '^-', linewidth=2.5, color='#F5B027', label='Brand C (Value)', markersize=7)
ax.fill(angles, brand_c, alpha=0.1, color='#F5B027')

ax.plot(angles, brand_d, 'D-', linewidth=2.5, color='#6CF527', label='Brand D (Innovator)', markersize=7)
ax.fill(angles, brand_d, alpha=0.1, color='#6CF527')

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('Competitor Brand Positioning Map', fontsize=16, color='#1f2937',
             fontweight='bold', pad=25)

ax.legend(loc='upper right', bbox_to_anchor=(1.22, 1.1), fontsize=10,
          frameon=True, facecolor='white', edgecolor='#e5e7eb')

plt.tight_layout()
plt.show()