How Stride Gaming Increased ROI by 24% with LTV Optimization

Running paid search advertising activity without remarketing is challenging for any brand. However, gaming companies adapted their marketing strategy to overcome these limitations, and successfully drive paid search advertising aimed at high-value customer acquisition. 

We at DELVE are excited to partner with the UK’s leading online gaming company, Stride Gaming, and help them to achieve incremental marketing growth.

Spending a significant part of their marketing budget on low-value customers, Stride Gaming involved DELVE to collect and execute an in-depth analysis of their first-party data to predict Customer Lifetime Value and optimize bids towards those with the highest predictive lifetime value (pLTV).

Google Marketing Platform and Google Cloud Platform native integration allowed DELVE to connect Stride Gaming’s online advertising data with their CRM data to build a unified customer view. Informed by user-level data, DELVE leveraged machine learning modeling to predict customer lifetime value and cluster the users into high, medium, and low-value audiences segments. The ML models were successfully deployed to inform paid search bidding in real-time against pLTV.


Stride’s Goal:
Drive increased high-value customer acquisition via paid search channel

The Data-Driven Approach
•  Implement Google Analytics 360 (GA360) and integrate Stride’s media data from Campaign Manager (CM) and their CRM data into Google BigQuery.
•  Execute large-scale, in-depth analysis of unified data at a user level by leveraging ML models in BigQuery ML and DataLab to predict customer lifetime value.
•  Train and deploy the models on the AI Platform to inform the paid search bidding in Search Ads 360 against predicted customer lifetime value to maximize the paid search marketing efficiency.

The Results:
24% Increase in Paid Search Channel ROI
18% Increase in New Deposits
88% of pLTV accuracy


The full case study provides insights into our data-driven approach that targeted high-value paid search channel customer acquisition for one of the UK’s largest gaming companies. Get the full case study below:

DELVE Experts
delve.experts@delvepartners.com


How Stride Gaming Increased ROI by 24% with LTV Optimization

Running paid search advertising activity without remarketing is challenging for any brand. However, gaming companies…

How Stride Gaming Increased ROI by 24% with LTV Optimization

Running paid search advertising activity without remarketing is challenging for any brand. However, gaming companies adapted their marketing strategy to overcome these limitations, and successfully drive paid search advertising aimed at high-value customer acquisition. 

We at DELVE are excited to partner with the UK’s leading online gaming company, Stride Gaming, and help them to achieve incremental marketing growth.

Spending a significant part of their marketing budget on low-value customers, Stride Gaming involved DELVE to collect and execute an in-depth analysis of their first-party data to predict Customer Lifetime Value and optimize bids towards those with the highest predictive lifetime value (pLTV).

Google Marketing Platform and Google Cloud Platform native integration allowed DELVE to connect Stride Gaming’s online advertising data with their CRM data to build a unified customer view. Informed by user-level data, DELVE leveraged machine learning modeling to predict customer lifetime value and cluster the users into high, medium, and low-value audiences segments. The ML models were successfully deployed to inform paid search bidding in real-time against pLTV.


Stride’s Goal:
Drive increased high-value customer acquisition via paid search channel

The Data-Driven Approach
•  Implement Google Analytics 360 (GA360) and integrate Stride’s media data from Campaign Manager (CM) and their CRM data into Google BigQuery.
•  Execute large-scale, in-depth analysis of unified data at a user level by leveraging ML models in BigQuery ML and DataLab to predict customer lifetime value.
•  Train and deploy the models on the AI Platform to inform the paid search bidding in Search Ads 360 against predicted customer lifetime value to maximize the paid search marketing efficiency.

The Results:
24% Increase in Paid Search Channel ROI
18% Increase in New Deposits
88% of pLTV accuracy


The full case study provides insights into our data-driven approach that targeted high-value paid search channel customer acquisition for one of the UK’s largest gaming companies. Get the full case study below:

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