Quiz Room
Leisure network, 8 countries
How Quiz Room runs 90 centers across 8 countries as one
A headquarters view to arbitrate budget. A per-franchisee view to understand what they fund. Same data, two readings: nobody argues over the numbers anymore.
centers managed
countries unified
data sources
Headquarters view
City A : 2,740 visits · 726 players · €745 budget
Anonymized extract. SEO · SEA · SMA at a glance.
SEO tooling and long-term strategy
« Quiz Room started from zero. It is clear that we are beginning to rank (very) well. »
90 centers, 8 countries, scattered data
Quiz Room operates a network of quiz centers from France to Australia. Digital marketing is pooled and run from headquarters, but each franchisee contributes to the media budget without seeing what it produces locally. The field doubts, headquarters can't prove.
Before Nanga: data lives market by market
No common foundationParis · France · home market
Headquarters
Arbitrate the global budget across 8 countries.
Franchisee
Understand what their contribution produces locally.
Two levels of decision, and data that never answers back.
Hover or tap the dots: every market runs on its own accounts, currency, and rhythm.
Two audiences, one report
Headquarters needs to arbitrate. The franchisee wants to know whether what they pay brings players through their door. A single report couldn't answer both.
8 countries, no common base
Currencies, languages, and seasonality inverted across hemispheres. Comparing an Australian center to a Belgian one made no sense without a normalized foundation.
Media data ignored the business
Clicks lived in the ad platforms. Players lived in the booking tool. Nobody looked at them side by side.
One network, two levels of reading
Two-level management
A headquarters view that consolidates and compares all 90 centers, a franchisee view restricted to their scope. Same data foundation, two readings.
PerformanceNormalized multi-country base
Unified currency, identical indicators whatever the market, country filters. Each center reads relative to its market, not in the absolute.
PerformanceSearch and AI visibility by city
SEO, SEA, SMA, and presence in AI engine answers tracked per center, with real attendance fed back via API.
GEOThe same data, two readings
Switch between the headquarters view and the franchisee's. This is exactly what Quiz Room teams see every morning.
| Center | Country | Visits | SEO/SEA/SMA mix | Budget | Players | Conv. |
|---|---|---|---|---|---|---|
| City A | 🇫🇷France | 2,740 | €745 | 726 | 2.6% | |
| City B | 🇫🇷France | 3,180 | €980 | 812 | 2.9% | |
| City D | 🇨🇭Switzerland | 2,260 | €610 | 655 | 3.1% | |
| City G | 🇨🇦Canada | 2,020 | €820 | 590 | 2.4% | |
| City E | 🇪🇸Spain | 1,870 | €890 | 470 | 1.9% | |
| City H | 🇦🇺Australia | 1,640 | €905 | 445 | 2.0% | |
| City C | 🇧🇪Belgium | 1,490 | €1120 | 388 | 1.4% | |
| City F | 🇬🇧United Kingdom | 940 | €1035 | 214 | 1.1% | |
| City I | 🇦🇪Dubai | 780 | €1180 | 168 | 0.9% |
Illustrative anonymized data. Budgets normalized in euros for cross-market arbitration.
Each city, its own signals
The network is steered globally, but performance plays out locally. For every city, the system unifies traffic, acquisition mix, players and conversion: the same reading, from national to local.
Paris
On targetVisits / month
3,180
↑ 2.4%Visites SEO
1,304
↑ 4.1%Visites SEA
1,145
↓ 1.8%Visites SMA
286
↑ 6.2%Traffic · last 13 months
812 players · 2.9% conversion
Example cities, illustrative data. Changes vs previous month. Hover or tap the dots to explore.
One system, no more sterile debates
centers managed
A single system, two levels of reading
countries unified
Currency and indicators normalized for arbitration
sources unified
SEO, SEA, SMA, GEO/AI, and attendance via API
management cadence
From monthly reporting to daily tracking
Scope and usage indicators: they describe what the system covers and enables, not media performance at a point in time.
The biggest traffic wasn't the most profitable
By segmenting organic traffic by page family, the system showed that the pages capturing the most visits were not the ones converting. A local blog post generated several hundred visits for zero bookings, while the local booking page converted above 12% on a third of the traffic.
This doesn't show up in Google Analytics alone, nor in Search Console alone. It appears when acquisition and conversion sit on the same screen. On a network where SEO drives nearly half the traffic, that's the difference between funding volume and funding players.
What Quiz Room says
Two reviews left on Trustfolio, a verified B2B review platform, by Tristan Quélin, co-founder of Quiz Room, following the search missions run by the Spark team, which designs and publishes Nanga.
SEO tooling and long-term strategy
Semantic strategy and keywords, guidelines, meta overhaul, technical audit, migration of 17 sites into a single one, netlinking audit
“Quiz Room started from zero. It is clear that we are beginning to rank (very) well.”
“The Spark team bent over backwards to explain the stakes, understand our objectives, and above all adapt when the agency's proposals were not a priority on our side. Flexibility while keeping the focus on the objectives set at the start is precious in an advisory relationship.”
SEO audit and migration
SEO audit and recommendations, performance in France and internationally
“A successfully migrated site.”
“We worked on an SEO audit and recommendations to improve our performance in France and internationally.”
Reviews collected and authenticated by Trustfolio, originally in French. These missions are distinct from the Marketing Intelligence System deployment presented on this page.