Case study
Optimizing Marketing Spend with Advanced Analytics
- Marketing Analytics
- Campaign Optimization
- Google Data Studio

The client
Project brief
- Client
- A performance marketing company
- Sector
- Digital publishing
The strategic analytical advancements of a company seeking to refine its marketing campaigns through comprehensive insights into advertising spend on Taboola and Outbrain, alongside revenue and cost data from their MySQL database, using Google Data Studio.
The problem
Project challenge
The primary challenge revolved around amalgamating disparate data sources (Taboola, Outbrain, and a MySQL database) into a singular analytical framework to glean actionable insights. The company aimed to dissect its marketing spend effectiveness, understanding the intricate balance between expenditure, website revenue, and associated costs. Achieving a granular view of campaign performance to fine-tune marketing strategies was essential.
The change
What changed
Before
After
Before
Taboola, Outbrain and MySQL apart
After
One analytical framework
Before
Spend and revenue never compared
After
Spend to revenue, side by side
Before
Campaign performance read by hand
After
Campaign detail on a dashboard
The evidence
Impact in numbers
5+
Data sources unified
15+
Websites tracked
100%
Spend to revenue visibility
0
Manual effort
The outcome
Impact
Spend to revenue analysis
By analyzing the interplay between marketing spend and revenue, we identified key areas for optimization, increasing marketing ROI.
Campaign efficiency
Insights into campaign performance allowed for refined targeting and spend allocation, boosting overall efficiency.
Strategic decision making
The actionable intelligence provided by our dashboards informed strategic marketing decisions, enhancing campaign outcomes and business profitability.
Holistic view of marketing spend
The unified analytics platform offered a holistic overview of all marketing activities, enabling a synergistic approach to campaign management.
How this works in general
- 6 min read
Budget pacing: the formula, and the report.
Spend against plan, while there is still time to do something about it.
Read it - 6 min read
How to test whether a client's ads caused the sales.
Reported conversions tell you what was near a sale. A holdout test tells you what caused one.
Read it - 6 min read
What data you need for marketing mix modelling.
The model is the quick part. The data it learns from is the project.
Read it
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