What Needs Your Attention
Feedback Pulse
Competitive Position
Category Comparison
Category Fingerprint — All Brands
Net sentiment per category mapped as radar. Center = 100% negative, edge = 100% positive. Shape reveals where each brand excels or struggles.
Category × Brand Sentiment
Where You Win, Where You Lose
Net sentiment per category and brand. Rectangle size = mention volume within that brand. Green = positive, red = negative.
Response Rate
Who Actually Responds?
Percentage of reviews that received an owner response. The single most visible signal of caring.
33×
Kaufland responds to almost 4 out of 5 reviews. BILLA responds to 1 in 43.
Responding to reviews costs nothing — but says everything.
Responding to reviews costs nothing — but says everything.
Review Volume
Average Reviews per Location
Normalized by number of locations to avoid sampling bias. More reviews per location = stronger signal, not just more stores.
vs
Category Comparison
BILLA vs Kaufland — Category Radar
Radar shows shape, bars show exact gap in percentage points. Green = you lead, red = you trail.
Rating Trend
BILLA vs Kaufland — Rating Over Time
Quarterly average star rating for both entities.
SWOT Analysis — AI Generated
BILLA CZ — Strategic Overview
Key Strengths & Critical Weaknesses
What Defines Your Brand
Brand Perception Map
What Shapes Your Reputation
Bubble size = mention volume. X = net sentiment. Y = impact on brand perception. Each bubble is one category.
Based on all-time data (917 categorized mentions)
Topic Deep Dive
Where Sentiment Comes From
Inner ring = category. Middle ring = positive/negative split. Outer ring = top keywords (colored by category). Hover for detail.
Location Performance Map
Where Are the Problems?
Each bubble = one BILLA location. Size = review count, color = net sentiment. Click for detail. Auto-zooms to fit data.
Rating Over Time
Quarterly average star rating — all 4 brands
Sentiment Over Time
Quarterly net sentiment — BILLA vs market
What Customers Talk About
Monthly mention volume per category — BILLA reviews only. Shows which topics are growing.
AI-Detected Signals
Sentiment:
Sort by:
Response Performance
Competitive Benchmark
Response Rates vs Competition
How often each brand responds — overall and to negative reviews
Response Quality
AI classifies each BILLA response: Generic (copy-paste "thank you"), Acknowledging (recognizes the issue but no action), or Actionable (offers solution, contact, or compensation)
Quality Score Benchmark
Composite AI score (0–100) based on personalization, issue acknowledgment, and actionability of responses. Higher = more helpful, specific responses
Needs Improvement
Critical Gaps
High-impact reviews that BILLA hasn't addressed — AI-identified priorities
Learn from Competition
Best Response Practices
How competitors handle similar situations — examples worth studying