2021 was a year of powerful analytics upgrades, enhanced audience insights, and expanded integrations at devtodev. From advanced SQL capabilities to predictive AI for LTV forecasting, here’s a look at the biggest updates that transformed the platform.
Advanced Data Analysis with SQL
We introduced SQL-based queries, allowing developers to:
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Access all stored data, including basic and custom events
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Build custom reports beyond standard dashboards
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Visualize query results instantly with interactive graphs
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Save and share dashboards for team-wide access
This feature eliminated analysis limitations, providing unparalleled flexibility in data exploration and reporting.
Read more: SQL for Beginners: Query Basics
Audience Overlap Report for Smarter Cross-Promos
The Audience Overlap Report helped teams optimize ad spending by analyzing:
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User overlap across multiple apps
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Paying user migration between projects
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Potential paying audience for targeted engagement
By segmenting users by behavior, payments, and activity, developers could create cost-effective cross-promos and increase retention rates.
Custom Dashboards for Personalized Insights
To simplify data tracking, we launched custom dashboards where users could:
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Combine multiple app reports into one view
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Add various visual elements like tables, pie charts, and bar graphs
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Create role-specific dashboards for different teams
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Track real-time updates on user acquisition, monetization, and retention
This update made monitoring business-critical metrics faster and more intuitive.
Webinar: How to Create the Best Analytics Dashboard
Seamless Data Migration from Other Analytics Platforms
Switching to devtodev became easier with hassle-free data migration, allowing:
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Full transfer of historical data from other analytics tools
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Preservation of user sessions, payments, and custom events
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API-based exports for seamless integration
Developers could now move their entire dataset without losing valuable insights.
New Event Conversion Tracking in Acquisition Reports
We enhanced user acquisition tracking by adding:
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Event-based conversion goals to measure traffic quality
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Customizable performance indicators for engagement analysis
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Comparison of traffic sources based on user actions
This allowed game studios to pinpoint high-value acquisition channels and reduce wasted ad spend.
Read more: Acquisition and Engagement Metrics
Trigger-Based Push Notifications for Automated Engagement
To boost retention and re-engagement, we launched trigger push notifications, enabling:
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Automated messages based on user behavior
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Dynamic targeting for lapsed users and new players
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Custom scheduling for optimized delivery times
This AI-driven automation helped teams improve retention rates and drive user activity.
Enhanced Custom Event Reports for Granular Data Analysis
We expanded Custom Event Reports by adding:
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% of active users performing an action
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Frequency-based filtering for deeper event tracking
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Grouping by text and numeric parameters for better segmentation
These refinements made analyzing in-game behavior and app interactions easier than ever.
Scheduled Push Notifications for Live Ops Optimization
We introduced automated push scheduling, allowing developers to:
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Pre-plan notification campaigns weeks in advance
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Send targeted messages at optimal times
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Eliminate manual repetition of recurring campaigns
This feature made Live Ops management faster and more efficient.
Read more: LiveOps: What are Playable and Payment Events?
AI-Driven LTV Forecasting with 90% Accuracy
We revolutionized revenue prediction by launching an ML-based LTV model, offering:
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Highly accurate LTV forecasts within just 3 days of install
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AI-powered traffic source optimization
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Early monetization trend identification
This breakthrough technology helped teams maximize ROI and fine-tune ad spend allocation.
Improved Ad Monetization Analytics with ironSource & MAX
To provide deeper ad revenue insights, we expanded monetization tracking with:
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New integrations with ironSource and MAX
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Enhanced revenue breakdowns in all financial reports
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Ad impression tracking for user flow and conversion analysis
Developers could now track in-app purchases and ad monetization together for a complete revenue picture.
Read more: Glossary of Ad Monetization Terms and Metrics
Huawei AppGallery Integration for Expanded Market Insights
We partnered with Huawei AppGallery, enabling:
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App performance tracking across Google Play, App Store, and Huawei AppGallery
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Cross-platform revenue comparisons
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Deeper visibility into Android market trends
This gave teams more data points to optimize global app distribution strategies.
Let us know what you think!
Check out our demo to see how it works in action!