Customer Journey Touchpoints

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

fig, ax = plt.subplots(figsize=(12, 8), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

np.random.seed(42)
segments = ['New Users', 'Returning', 'Premium', 'Enterprise', 'Trial']
touchpoints = ['Website', 'Mobile App', 'Email', 'Social', 'Support', 'Webinar', 'Docs']
data = np.random.randint(10, 100, (len(segments), len(touchpoints)))

# Modern gradient: Rose to Fuchsia
colors = ['#fdf2f8', '#fbcfe8', '#f472b6', '#db2777', '#831843']
cmap = LinearSegmentedColormap.from_list('modern', colors, N=256)

im = ax.imshow(data, cmap=cmap, aspect='auto')

ax.set_xticks(range(len(touchpoints)))
ax.set_yticks(range(len(segments)))
ax.set_xticklabels(touchpoints, rotation=45, ha='right', color='#374151', fontsize=10)
ax.set_yticklabels(segments, color='#1f2937', fontsize=10, fontweight='500')

for i in range(len(segments)):
    for j in range(len(touchpoints)):
        val = data[i, j]
        color = '#ffffff' if val > 60 else '#1f2937'
        ax.text(j, i, f'{val}%', ha='center', va='center', color=color, fontsize=10, fontweight='bold')

cbar = plt.colorbar(im, ax=ax, shrink=0.8, pad=0.02)
cbar.set_label('Engagement (%)', color='#1f2937', fontsize=11)
cbar.outline.set_edgecolor('#e5e7eb')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='#6b7280')

for spine in ax.spines.values():
    spine.set_color('#e5e7eb')
ax.set_title('Customer Journey Touchpoint Analysis', fontsize=16, color='#111827', fontweight='bold', pad=15)
plt.tight_layout()
plt.show()