Gaming Industry Operatore Stride Gaming Increased New Customer Revenue by 50% at a 12% Lower CPA

August 12, 2020

Understanding user behavior is essential for any company, but it’s even more significant for the gaming industry. Website traffic fluctuations in the gaming industry are impacted by many factors, one of which can be weather conditions. People prefer to stay home in bad weather and aim to be outside when it’s warm. Gaming companies who look a step ahead and adjust their marketing strategies accordingly can generate better revenue. 

Maintaining strong partnerships with one of the leading UK’s online gaming companies, Stride Gaming, DELVE executed an in-depth data exploration and found distinctive characteristics in users’ behaviors. These revealed unique insights that enabled us to venture a hypothesis, which ultimately proved to be true.

The Google Marketing Platform and Google Cloud Platform native integration allowed DELVE to analyze unified users’ data for Stride in Google Big Query. This in-depth analysis in Big Query allowed DELVE to find specific correlations between website traffic and weather conditions, so our experts built a strong weather-customized creative strategy for one of the UK’s top gaming companies. The strategy included the new ads design, development, and launch using Campaign Manager (CM) and Display & Video 360 (DV360). The customized creatives strategy empowered Stride to improve their ads targeting and drive better marketing efficiency while generating new customer acquisition.

The Goal:

The Approach:

The Results

The full case study provides granular insights into the data-driven approach that boosted new customer revenue for one of the UK’s gaming companies. Get in touch with the DELVE team today to access the full case study.

Related Insights

All About Machine Learning Clustering

Delve Goes Deeper: Data-Driven Segmentation Deepen your understanding of Machine Learning Clustering, phase 2 of DELVE's approach to customer segmentation. This is the fourth post in our Data-Driven Segmentation series, exploring the methodology and business applications behind DELVE's approach to customer segmentation.  In Data-Driven Segmentation, variables are fed into a Machine Learning clustering algorithm that uncovers an underlying logic to the data and uses this logic to define customer...

Read Article

May 3, 2021 |

How Personalization Drives Profitability

Delve Goes Deeper: Retail Marketing Learn how data-driven optimization helps retailers accelerate market share gains in their most profitable segments. This is the second post in our Retail Marketing series, dedicated to helping brands improve their marketing ROI and accelerate revenue growth by identifying and converting their most profitable audience segments. Retail leaders understand that marketing efficiency is all about aligning the right message, in the right medium, at the right time, to the...

Read Article

March 12, 2021 |
view more insights