Case Study · The Market Proof · OpenTable Verified
Chef-led landmark restaurant · Dublin city centre · name withheld · Aug 2024 – Jan 2026
When the market fell 9%, this venue grew 33%.
A single percentage is easy to claim. This is harder to argue with: a third-party benchmark of 80+ competing venues in the same neighbourhood, the same time window, verified by OpenTable. Two lines going in opposite directions.
+33%
Covers, year on year
Active build phase, Aug 2024 – Mar 2025
Source · OpenTable
−9%
Market, same period
75-venue South City Centre benchmark
Source · OpenTable
42pt
Gap versus benchmark
Percentage-point spread, not percentage growth
Source · OpenTable
In brief
- Cover growth and market decline were recorded in the same window by the same platform.
- The comparison is a percentage-point spread, not a growth claim.
- The local search foundation was built during the same period.
The situation
Covers were declining year on year, slightly slower than the surrounding market. There was no map pack presence and no managed local search foundation underneath the venue.
What the period showed
Across the same window in which the local search foundation was built, the venue recorded cover growth while the benchmark cohort of competing venues contracted. The two datasets are measured independently by OpenTable.
Why percentages alone don't prove anything
A benchmark strips the ambiguity out.
+33% means nothing without knowing what everyone else did. A restaurant that grows 10% in a year where the market grows 15% is losing ground. A restaurant that grows 33% in a year where the market falls 9% is doing something the market cannot explain.
OpenTable publishes neighbourhood-level cover data across all participating venues. For Dublin's South City Centre corridor, this benchmark spans every direct competitor — 70 venues at engagement start, expanding to 84 as new restaurants opened.
In the period when the digital infrastructure was being built and deployed, this venue outperformed the market by 42 points. The market was contracting. The venue was growing. Those two facts, verified by OpenTable data, are the case for this engagement.
Period by Period
Three windows. Three competitive realities.
Before engagement · Jan – Jul 2024
+8pt
ahead of market — but falling
The venue −7% YoY covers. Market (70 venues) −15%. Declining, but slower than the market. No map pack presence. No managed citations. DA 15.
Active build · Aug 2024 – Mar 2025
+42pt
outperformance — the key signal
The venue +33% YoY. Market (75 venues) −9%. 38,523 covers. Citations built. GBP restructured. Pack positions begin emerging. The market contracted while this venue grew.
Sustained growth · Apr 2025 – Jan 2026
+16pt
sustained above market
The venue +21% YoY. Market (84 venues) +5%. 53,545 covers. Market grew modestly — venue grew four times faster. Per-cover spend €62.99, 14% above market.
Full year 2025 summary
Every metric verified by OpenTable.
61K+
Total covers · 2025
+25% YoY · +12,503 covers
+5%
Market growth · 84 venues
€62.99
Per-cover spend
+€7.89 vs market avg
+42pt
Peak spread vs benchmark
Confidentiality and attribution
The venue in this case study is an established, well-regarded restaurant working with us under a confidentiality agreement, so it is described by market position rather than by name. Every figure is taken from the client's own third-party platform data.
Search, local profile and booking-platform figures are recorded by separate systems and are presented here as parallel indicators over the same period. Where a movement is not directly traceable to a single guest journey, it is described as correlation and commercial context rather than proven causation.
Strategy & analysis by Alex Opsenica, Moolah Media
The method behind this engagement
Keep reading
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What could better visibility mean for your restaurant?
Results shown are historical examples from specific restaurant engagements. Outcomes vary by market, competition, starting position and implementation.