Roman Garbar
In this case study, we unveil the magic of Tenjin’s DataVault, or data warehouse as a service, through the lens of one of our star clients, Kooapps. The marketing and product teams at Kooapps use DataVault to unlock a wide range of use cases. In the post below, we’ve highlighted 5 of them, including how they use it to:
- Pinpoint Impactful In-app Purchases
- Deny the Fraudsters and Save their Budget
- Master the Cross-promo
- React Swiftly to Changes in the Market
- Merge Data Sources for Unique Insights
Five Use Cases for Mobile App Marketing and Product Teams
Pinpoint Impactful In-app Purchases
Kooapps uses Tenjin’s DataVault to develop a special dashboard that monitors all in-app purchases (IAPs) across its game portfolio. For instance, the dashboard is used by the product team to identify fluctuations for in-game items, and helps them to keep improving their games.
Deny the Fraudsters and Save Your Budget
DataVault also serves as the backbone of the Kooapps alert dashboard, which effectively flags fraudulent activities. Utilizing various types of rules, it helps to swiftly identify suspicious behavior. For example, it can detect discrepancies between geolocation and currency, offering comprehensive protection against fraudulent transactions.
Master the Cross-promo
Thanks to DataVault, Kooapps can measure the daily volume of users that transition from playing one game to another, whether through organic engagement or incentivized spending. This enables them to monitor the impact of a decrease in installs of one game on the performance of another game.
React Swiftly to Changes in the Market
By using DataVault as a foundation, Kooapps has created a system that enables them to quickly spot changes in ad network algorithms, new industry trends, and unreliable data sources by automatically comparing numbers from multiple sources.
For instance, they monitor their Share of Volume (SOV) for each ad network via DataVault, enabling them to identify industry trend shifts. Any anomalies in the data prompt further investigation to ascertain whether they stem from algorithm changes or errors.
Merge Data Sources for Unique Insights
To expand their business insights, Kooapps merges DataVault with additional data sources like Firebase & in-house analytics. This combined analysis aids their team in identifying sources of suspicious in-game activity, such as users showing above-average retention at the early stage and not proceeding to play the game at all later. It is later used to negotiate compensations from ad networks that provided suspicious traffic.
Unlimited Number of Use Cases
DataVault use cases expand beyond the ones we have mentioned above. Develop your own use cases or ask the Tenjin team to help based on your business needs.
