Case study
Navigating the Digital Hospitality with Comprehensive Analytics
- Social Media Analytics
- Google BigQuery
- Google Data Studio

The client
Project brief
- Client
- A hospitality brand and marketing firm
- Sector
- Hospitality
How a leading full-service brand, sales, and marketing firm, specializing in the hospitality sector, mastered its digital presence across multiple platforms. With a focus on design thinking and data depth, the brand leveraged advanced analytics to streamline its digital marketing efforts across Facebook, Google, LinkedIn, and Instagram.
The problem
Project challenge
The firm aimed to dissect and harness its social media analytics and broader digital data to refine its online presence and marketing strategies. The challenge was multifaceted: aggregating disparate data streams from Facebook Ads, Google Ads, Facebook Insights, Instagram Insights, LinkedIn, Programmatic advertising, and Google Sheets into a singular, coherent analytical viewpoint. The diversity of data formats and the need for current insights made this a complex endeavor.
The change
What changed
Before
After
Before
Disparate streams, seven platforms
After
One coherent analytical view
Before
Data formats that did not agree
After
One consistent shape
Before
Data management done by hand
After
Centralized analytics tools
The evidence
Impact in numbers
8+
Data sources unified
4+
Countries tracked
90%
Reporting automation
4
Ad and social channels
The outcome
Impact
Enhanced digital strategy
The unified analytics framework enabled a granular understanding of digital engagements and the effectiveness of marketing campaigns, leading to a refined strategy focused on high-ROI activities.
Operational efficiency
Streamlining data processes and centralising analytics tools significantly reduced manual effort and time spent on data management.
Data-driven decision making
Access to comprehensive insights across all digital channels empowered the firm to make informed decisions, optimising their marketing efforts for better engagement and returns.
How this works in general
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What a marketing data warehouse is, and when an agency needs one.
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