A board-room read of this audit, a chat-style analyst you can interrogate, an execution plan with measurable targets, and the strategic plays we'd ship if this were our P&L.
Live analysis grounded in real review data — every persona, complaint theme, competitor metric and review snippet. Ask in plain English; cited evidence comes back inline.
Each loss is a category where customers chose the competitor over you. The competitor benchmark surfaces the closest stealable.
Addressing pricing perception and implementing review response strategy could recover 15-20% of lost customers and increase conversion from review browsers by 25-30%, potentially adding $50,000-75,000 annually for a restaurant of this size.
Your largest cohort is The Warmth-Seeking Regular at 38%. Segment ratios shift slowly — when they don't, that's a signal.
Sentiment split tells you the temperature of the conversation. A small shift in the mix moves your aggregate rating more than any single review does.
Last 10 reviews average 4.10★ vs 4.57★ lifetime — something shifted recently. Surface the cause from the last month's complaints before it compounds.
Avg rating 5.0★, ~$3,895 LTV. Marketing and ops decisions should optimise for them first.