Optimizing Gambling Affiliates Performance Using LTV Intelligence 

About Client

The client is a global iGaming company based in Gibraltar, offering a wide range of online casino games and sports betting options in the UK market. With over 10 years of operational history and annual revenues of $24M, the organization works with a large network of gambling affiliates operating round the clock across multiple acquisition channels.

Background

Despite a decline in overall Gross Gambling Yield (GGY) in the UK—down by approximately £84.1M between April 2019 and March 2020 due to COVID—online casino gaming grew by nearly 4% during the same period. This growth significantly accelerated affiliate-driven acquisition.

As a mature online casino and sportsbook operator, the client relied heavily on game revenue affiliates to drive player acquisition. However, despite scale and experience, the organization lacked data-driven insights to understand affiliate performance, player value, and return on acquisition spend—making this a critical casino affiliate case study in performance optimization.

The Challenge

Having Huge Number of Affiliates?
How to identify which affiliate brings players with high Lifetime Value?
What to do with Affiliates generating Players with low Lifetime Value?
Where to invest money in affiliate marketing?
How much to invest in affiliate marketing?
Do you negotiate deals with existing affiliates?

With thousands of affiliates in play, it was difficult to focus efforts on game revenue affiliates that consistently delivered high-value players.

Compounding this challenge, updated UKGC markers of harm introduced stricter KYC requirements. The client was required to re-verify existing UK customers and onboard new ones under tighter compliance—impacting over 1,000 customers per day. Limited staffing made it impractical to process all KYCs equally, making prioritization based on player lifetime value a business necessity.

To maximize acquisition efficiency, prioritize affiliates, and remain competitive, the client partnered with BizAcuity, leveraging deep iGaming and affiliate analytics expertise.

Our Expertise

We deployed GAMWIT’s Lifetime Value (LTV) Model, purpose-built for iGaming and affiliate-driven ecosystems. The model is powered by a proprietary feature factory of 450+ variables, developed from our experience in iGaming across global gaming markets. Key capabilities included:

  • Player-level LTV prediction
  • Faster Go-to-market
  • AI/ML driven insights
  • Flexible cloud-based deployment option
  • Pay as you go
  • Easy to use

This approach provided the analytical foundation required to manage gambling affiliates with precision and confidence.

Data Ingestion

  • Intuitive data profiling across affiliate and player data
  • In-built data validation checks
  • Automated alerts for missing or inconsistent data

Data Enrichment

  • Automated data reconciliation across sources
  • Proprietary feature factory with 250+ engineered variables
  • Implicit virtual data warehouse enabling scalable analytics

Analytics

  • Model training, testing, and selection workflows
  • Advanced feature engineering
  • Configurable train-test splits
  • Multi-step model selection with hyperparameter tuning
  • Visualization of model accuracy and performance

This analytics-driven framework enabled granular evaluation of game revenue affiliates and their long-term contribution to revenue.

Outcome

  • Improved player acquisition by prioritizing affiliates delivering higher lifetime value players
  • Optimized affiliate spend through renegotiation with low-performing affiliates
  • Enhanced player retention via cross-sell and up-sell strategies, driven by daily LTV predictions on 500K+ players

 

75%
reduction in time-to-market
for launching affiliate strategies
95% accuracy
achieved by GAMWIT’s LTV prediction model
BizAcuity
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