Filter, slice, and pivot every data point Crescendo collects. Drill into any cell to re-slice the dashboard. Everything below — chat, competitor radar, recommendations — stays in sync.
Sentiment
Star range
Platform
Time range
Search review text
Top themes (436 unique)
Reputation pulse
Old Mates Pub — 4.5★ across 448 reviews
Rating, sentiment, volume over time
Last 10
4.30★
Recent cohort
Lifetime
4.46★
All-time
Trend
-0.16
Down
Category × sentiment
Click any cell to drill in — the chart on the left re-slices.
Your line is bold; each competitor is a dashed overlay. Look for spokes where a competitor juts past you — those are the stealable wins, ranked by gap size in the Reputation tab.
Category sentiment vs competitors
Thick teal line = you. Look for spokes where you're noticeably below a competitor — those are stealable wins.
PERSONA BREAKDOWN
Who's actually leaving these reviews
Cohorts derived from review patterns, sorted by share. Each row shows persona size, avg rating, estimated LTV, and churn risk.
Persona matrix — volume vs rating
X-axis: % of reviews · Y-axis: avg rating · Size: review count. Full detail on the Reputation tab.
7 cohorts derived from review patterns — sorted by share. LTV and risk model how much each cohort is worth, and how much you stand to lose if they churn.
The Quiet Loyalist35.3% of reviewers 4.7~$1,352 LTVlow risk
The Casual Social Regular23.2% of reviewers 4.9~$2,917 LTVlow risk
The Homesick Australian19.2% of reviewers 4.5~$2,179 LTVlow risk
The Enthusiastic Foodie8.3% of reviewers 4.7~$2,864 LTVlow risk
The Frustrated Service Critic7.1% of reviewers 2.3~$448 LTVhigh risk
The Expectant Experience Hunter5.8% of reviewers 3.8~$1,222 LTVmed risk
The Sports Atmosphere Seeker1.1% of reviewers 3.6~$796 LTVmed risk
STRATEGIC RECOMMENDATIONS
What we'd build if we ran this business
Five to seven projects, ranked by estimated annual dollar impact. Regenerate any project for a different angle — Crescendo won't repeat what's already in the list.
Projects · ranked by dollar impact
Scope · outcome · why now · expand any card for the full detail
1Growth·$5-8K effort·3-4 weeks
What we'd build
Sports Viewing Experience AI with Event-Based Marketing
Automated system that promotes AFL/NRL viewing experiences and creates targeted marketing campaigns around Australian sports events.
Expected outcome
Captures the underserved Australian sports fan market in NYC, driving 20-30 additional customers per major sporting event
Why now
Geo audit shows 'watching AFL and NRL' is missing from website content, and AI search analysis reveals high intent for 'where to watch AFL in New York'.
Cost of inaction
Missing the growing Australian expat and sports fan market in Financial District — competitors could establish themselves as the go-to AFL venue if Old Mates doesn't claim this positioning first.
~$757k/yr lift
2Visibility·$5-10K effort·3-4 weeks
What we'd build
AI-Powered Aussie Authenticity Content Engine
Automated content system that generates geo-targeted posts highlighting authentic Australian culture, staff stories, and proper beer service.
~$568k/yr lift
3Reputation·$5-10K effort·3-4 weeks
What we'd build
Smart Pricing Transparency and Value Positioning System
Dynamic pricing display system that preemptively addresses 'overpriced' concerns with context about NYC location and quality justification.
~$442k/yr lift
4Operations·$10-15K effort·5-6 weeks
What we'd build
Real-Time Service Recovery AI with Smart Escalation
AI-powered system that catches service failures in real-time and triggers immediate manager intervention before customers leave unhappy.
~$316k/yr lift
5Operations·$8-12K effort·4-5 weeks
What we'd build
Predictive Crowd Management and Experience Optimization
AI system that forecasts busy periods and automatically adjusts staffing, service protocols, and customer flow to prevent overcrowding complaints.
~$316k/yr lift
6Intelligence·$6-10K effort·4-5 weeks
What we'd build
Customer Experience Intelligence Dashboard with Persona Insights
Real-time analytics system that tracks customer behavior patterns, identifies service-sensitive guests, and provides actionable insights to staff.