Background
GAST, multibrand online sports betting company, reached out to us to address challenges in their influence marketing strategy optimization. They were investing heavily in several traffic sources (YouTube, Telegram, Instagram, Twitch, TikTok, Twitter), but faced ineffective deal evaluation and difficulties with ROMI prediction.
Challenge
-
1
Create a data-based deal evaluation system that allows to assess deal profitability, prioritize high-value collaborations and сut unprofitable ones.
Solution
-
1
‘Deal evaluation calculator’ based on AI-driven decision model utilizing XG Boost and decision tree algorithms, combined with historical data from social media analytics services via API integration.
We developed a solution that functions as an internal product fully integrated into client’s system for ease of use. It is based on trained data science models, and merges insights from AI model with data from social media analytics services (Tgstat, Telemetr, Socialblade, YouTube/Telegram/Instagram/TikTok/Twitch API).
Results are delivered directly into GAST’s system, enabling direct in-platform deal profitability assessments.
Process (what we have done)
- Initial Project Analysis:
- analyzed and evaluated project, requirements and available data sources,
- prepared project roadmap.
- Data consolidation from External and Internal Data Sources:
- analyzed bypass authorization,
- parsed, processed, stored and set up DevOps pipelines.
- Data Storage:
- designed architecture,
- implemented ETL processes,
- scheduled workflows using cron jobs.
- Data Science:
- analyzed requirements,
- configured environment,
- prepared data,
- trained model,
- output results.
- API Development for Data Output:
- designed architecture,
- created endpoints,
- drafted contracts.
- QA + Alerting System:
- developed automated tests for data sources, ETL processes, model accuracy,
- set up Telegram real-time alerts.
Results
Our solutions led to significant improvements for GAST:
-
1
40% reduction in unprofitable deal closures through predictive analysis
-
2
25% increase in profitability due to enhanced deal prioritization
-
3
Scalable infrastructure to evaluate the growing volume of deals
Reach us to gain a clear understanding of how to improve your marketing effectiveness and achieve your goals.
Conclusion
By partnering with Dot Analytics Agency, GAST resolved ineffective deal evaluations that led to unprofitable partnerships, reduced overspending, and gained the ability to accurately predict ROI.
-
+ 0 % reduction
in unprofitable deal closures
-
+ 0 % increase
in general profit
-
+ Scalable infrastructure able to evaluate the growing volume of deals
Used Technologies
We don’t just deliver data management
We build the foundation for transformative decisions and strategies.
Let our expertise in analytics drive your journey towards success.
Schedule a call
