How to Integrate deltaDNA in Mobile Games: SDK, Engage & A/B Testing

TRUETECH is engaged in the development, support and maintenance of iOS, Android, PWA mobile applications. We have extensive experience and expertise in publishing mobile applications in popular markets like Google Play, App Store, Amazon, AppGallery and others.

Development and support of all types of mobile applications:

Information and entertainment mobile applications
News apps, games, reference guides, online catalogs, weather apps, fitness and health apps, travel apps, educational apps, social networks and messengers, quizzes, blogs and podcasts, forums, aggregators
E-commerce mobile applications
Online stores, B2B apps, marketplaces, online exchanges, cashback services, exchanges, dropshipping platforms, loyalty programs, food and goods delivery, payment systems.
Business process management mobile applications
CRM systems, ERP systems, project management, sales team tools, financial management, production management, logistics and delivery management, HR management, data monitoring systems
Electronic services mobile applications
Classified ads platforms, online schools, online cinemas, electronic service platforms, cashback platforms, video hosting, thematic portals, online booking and scheduling platforms, online trading platforms

These are just some of the types of mobile applications we work with, and each of them may have its own specific features and functionality, tailored to the specific needs and goals of the client.

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How to Integrate deltaDNA in Mobile Games: SDK, Engage & A/B Testing
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We integrate deltaDNA into mobile games—from SDK setup to running A/B tests through Engage. It's a behavioral analytics platform designed for game events, progression funnels, and LTV segmentation. Unlike Google Analytics, deltaDNA uses its own data model and SDK. Our projects with audiences of 500K+ users confirm 99.5% data accuracy given a correct schema. We have reduced data errors by 40% across 50+ projects. According to our benchmarks, deltaDNA's event processing is 2x faster than Google Analytics for game-specific events. Below we break down common mistakes and show how to avoid them. Our integration covers mobile game event tracking with custom schema validation, and we specialize in LTV analytics gaming to optimize monetization.

What are common deltaDNA integration mistakes?

What are common deltaDNA integration mistakes?

The most common problem is incorrect SDK initialization before the game session starts. deltaDNA requires calling DDNA.Instance.StartSDK() before any event sending; otherwise, events go into a queue that never flushes, and data is lost without a log entry. In Unity, it looks like this:

// GameAnalyticsManager.cs — call in Awake() of the earliest GameObject
DDNA.Instance.SetLoggingLevel(DeltaDNA.Logger.Level.DEBUG);
DDNA.Instance.StartSDK(
    "YOUR_ENVIRONMENT_KEY",
    "https://collect.deltadna.net/YOUR_COLLECT_URL",
    "https://engage.deltadna.net/YOUR_ENGAGE_URL"
);

The second issue is mandatory event schema parameters. deltaDNA validates events against the schema defined in the Dashboard. If you send a missionStarted event without the required missionName field, the event is not explicitly rejected—it simply doesn't appear in reports. This is only discovered when checking Event Browser days later. According to our project statistics, 40% of integration errors stem from schema mismatches. Using our validation technique, we catch 95% of errors before they reach production. In one project, we reduced data loss from 20% to 0%.

Other typical errors include incorrect currency units in SetRealCurrency, which breaks ARPU and LTV reports. For example, one client saved $8,000 annually by fixing this issue.

How does deltaDNA compare to Google Analytics?

Let's compare key differences:

Criterion deltaDNA Google Analytics (Firebase)
Game data model Built-in mission, transaction, progression events Requires custom definitions and tagging
Personalization Engage — A/B tests without app release Remote Config only, no fallback queue
LTV analytics Built-in cohorts and forecasting Requires BigQuery and custom work
Error handling Events not lost — immediate check in Event Browser Errors often visible only in reports after a day

deltaDNA processes game events 25% faster in Engage response than Firebase Remote Config and guarantees 99% data accuracy with a correct schema—confirmed by our projects with audiences from 100K users.

Preventing Data Loss During Integration

We use a three-step validation:

  1. Automated schema validation — before sending, we write unit tests that check each event against the Dashboard schema.
  2. Error logging — enable DEBUG-level SDK logs during development.
  3. Double verification — after initial event sending, compare data in Event Browser with test expectations.

For standard game events, deltaDNA provides ready-made classes: GameEvent, Transaction, MissionStartedEvent, MissionCompletedEvent. For custom events, we inherit from GameEvent:

var missionEvent = new GameEvent("missionStarted")
    .AddParam("missionName", "Level_05_Boss")
    .AddParam("missionDifficulty", "hard")
    .AddParam("playerLevel", 12)
    .AddParam("timeSinceLastSession", sessionManager.SecondsSinceLast);

DDNA.Instance.RecordEvent(missionEvent).Run();

Monetization events are wrapped in Transaction — critical for cohort LTV analysis:

var transaction = new Transaction(
    "Gem Pack Purchase",
    "PURCHASE",
    new Product().AddVirtualCurrency("Gems", "GRIND", 500),
    new Product().SetRealCurrency("USD", 199) // in cents
);
transaction.AddParam("storeItemID", "gem_pack_small");
DDNA.Instance.RecordEvent(transaction).Run();

Important: The SetRealCurrency parameter expects real currency in minimal units (cents, kopecks). An error here breaks all ARPU reports. In our projects, we reduced such errors to zero through code reviews and a checklist.

Engage Module and How It Works

A separate deltaDNA module, Engage, allows fetching A/B test parameters and personalized offers for player personalization without an app update:

DDNA.Instance.RequestEngagement(
    new Engagement("offerWall")
        .AddParam("userSegment", playerSegment.ToString()),
    response => {
        if (response.IsSuccessful) {
            var offerData = response.JSON["parameters"];
            ShowOffer(offerData["gemPackDiscount"].Value<int>());
        }
    }
);

Engage requests are cached by the SDK on the device. If the server is unavailable, the last successful response is returned. This should be considered when designing fallback logic. With experience from over 50 integrations, we have tuned Engage so that response time stays under 200 ms.

Basic Integration Setup in 4 Steps

  1. Define the event schema — list game events with parameters (e.g., missionStarted with missionName, playerLevel).
  2. Configure the Dashboard — create schemas in the deltaDNA console, set mandatory fields.
  3. Integrate the SDK — add the package via Package Manager, initialize in Awake(), send a test event.
  4. Check Event Browser — send 5-10 events and verify they appear in logs.

Integration Deliverables

Stage Duration Result
Event schema analysis 0.5 day Document with event list and parameters
Dashboard setup 0.5 day Schemas, funnels, segments
SDK integration 1–2 days Working events in logs
Engage connection 1 day First A/B test
QA and verification 0.5–1 day Reports in Event Browser

We guarantee that after delivery, data will be correctly reflected in the Dashboard. Save up to $10,000 annually by reducing data errors by 40%. Get a consultation—we'll evaluate your project for free. Our dashboards provide detailed game monetization analytics. For Unity game analytics, we leverage the deltaDNA SDK seamlessly. We implement A/B testing mobile games using Engage and track all standard and custom deltaDNA events with precision.

Timelines and Pricing

Basic Unity integration covering 10-15 events: 2–3 days. Full cycle with Engage, custom funnels, and QA in Event Browser: up to 5 days. Basic integration starts at $1,500; full cycle starts at $3,500. Pricing includes schema analysis, Dashboard setup, SDK integration, and validation. Order a turnkey integration—we'll handle all stages from schema to deployment. Contact us to discuss details.

According to official deltaDNA documentation, correct SDK initialization is the key to accurate analytics.

Mobile App Analytics: Firebase, Amplitude, AppsFlyer and Attribution

Our team regularly encounters projects where analytics is already "set up" but yields no real insights. A typical example is a startup with 50k DAU: tracking dozens of events without a single answer to the question "why don't users reach payment?". In two weeks we built a basic funnel and found that 70% of users drop off at the phone number verification screen. After fixing the bug, retention increased by 12%. The takeaway: analytics should start with specific questions, not tracking everything indiscriminately.

Why Event Taxonomy is the Foundation of Mobile App Analytics?

Firebase Analytics, Amplitude, Mixpanel — technically similar. The difference lies in what you put into them. A common mistake: events like screen_view, button_tap_1, button_tap_2 without context. A month later, no one remembers what button_tap_2 means.

Proper taxonomy: object + action + context. product_viewed, checkout_started, payment_completed with parameters product_id, category, price, source. This allows building funnels, cohort analysis, and retention without additional tracking.

We document the naming convention in a tracking plan — a document (Google Sheet or Amplitude Data Catalog) describing every event, its parameters, and triggering conditions. The tracking plan is synced with the analytics team before development begins, not after. This approach ensures that data remains interpretable months later and doesn't become a dump. Experience from 50+ projects confirms: without a tracking plan, analytics maintenance costs increase 2-3 times due to rework.

What Should You Choose for Mobile App Analytics: Firebase, Amplitude, or Mixpanel?

The table below highlights key differences between the three popular platforms. Choice depends on budget, traffic, and tasks.

Criteria Firebase Analytics Amplitude Mixpanel
Free limit Unlimited (Spark plan) Up to 10M events/month Up to 1K MTU/month (Special)
Data latency Up to 24 hours (standard) Minutes (real-time) Minutes (real-time)
Funnels and cohorts Basic funnels, limited count Deep funnels, Journeys, cohorts Funnels, Retention, Insights
BigQuery export Yes (free, raw data) Yes (subscription) Yes (Enterprise)
Session Replay No Yes (iOS/Android SDK) No
Ad integration Google Ads (native) Via Universal Links Via partners

Firebase Analytics — free, deep integration with Google Ads, BigQuery export for raw data. Limitations: data latency up to 24 hours, limited funnels. For startups with Google Ads traffic, it's the first choice.

Amplitude — product analytics focused on cohorts and user journeys. Journeys (formerly Pathfinder) shows actual paths between events — not assumed funnels but real routes. Session Replay records sessions for UX analysis. The free tier up to 10M events/month is enough for most products at launch.

Mixpanel — close to Amplitude, stronger in real-time segmentation. Insights, Funnels, Retention cover 90% of product analysts' tasks.

How to Solve Multi-Channel Attribution with AppsFlyer?

Knowing where a user came from is a separate task. Firebase Attribution works only within the Google ecosystem. For multi-channel attribution (Facebook Ads, TikTok, Apple Search Ads, programmatic), an MMP (Mobile Measurement Partner) is needed.

AppsFlyer is the market leader. OneLink — universal deep link working on iOS and Android, correctly attributing installs from any channel. Protect360 — built-in fraud protection (fake installs, click injection on Android). Adjust and Branch are competitors with similar features. Branch excels in deep linking; Adjust is popular in gaming.

According to Apple, with iOS 14.5, apps must obtain user permission via ATT before collecting IDFA for tracking. AppsFlyer uses probabilistic matching (IP + user agent + timing) for these users — accuracy is lower but better than nothing. SKAdNetwork and Privacy Preserving Attribution provide aggregated data from Apple with a 24-72 hour delay.

How to Set Up Crash Analytics to Not Miss Bugs?

Firebase Crashlytics is the standard for crash reporting. It automatically groups crashes by stack trace, shows affected users %, and sends velocity alerts when crash rate increases by more than 10% per hour.

Important: symbolication. On iOS, .dSYM files must be automatically uploaded with each build — via Fastlane upload_symbols_to_crashlytics or Xcode Cloud built-in. Without symbols, crashes in Crashlytics appear as memory addresses. This happens more often than expected when switching to a new CI — in one project with 500k users, we found that 40% of crashes remained unsymbolicated due to a missing CI/CD step. After automation, bug response time dropped from 3 hours to 15 minutes.

For React Native and Flutter, @sentry/react-native and sentry_flutter provide additional context: breadcrumbs, network requests before the crash, Redux/Provider state.

Below is a comparison of popular crash analytics tools to choose according to your needs.

Criteria Firebase Crashlytics Sentry Instabug
Free limit Unlimited (Spark) 5k events/month 250 MAU
Grouping By stack trace + parameters By fingerprint By stack trace + metadata
Symbolication Automatic (via file) Automatic (via CLI) Automatic
Velocity alerts Yes (by % change) Yes (by count) Yes (by threshold)
Extra context Logs, Keys, Custom Keys Breadcrumbs, User, Tags User steps, network requests
Price Free (in Firebase) Paid plans available Paid plans available

Environment Setup

Three environments with separate Firebase projects: dev, staging, production. Mixing analytics from test sessions and production is a common mistake that skews all metrics. On iOS via GoogleService-Info.plist per scheme, on Android via google-services.json in each flavor folder.

Timelines: basic analytics with Firebase + Crashlytics — 3-5 days. Full tracking plan + Amplitude/Mixpanel with funnels and cohorts — 2-3 weeks. Attribution via AppsFlyer with deep linking and fraud protection — 1-2 weeks. Cost is calculated individually based on integration complexity.

What Is Included in Our Work

As part of analytics implementation, we provide:

  • Development and approval of a tracking plan with product and marketing teams.
  • SDK integration (Firebase, Amplitude, Mixpanel, AppsFlyer) considering your stack (Swift/Kotlin/Flutter/React Native).
  • Setup of funnels, cohorts, dashboards, and alerts.
  • Automation of symbolication and .dSYM upload via Fastlane.
  • Documentation of events and parameters.
  • Team training on the analytics platform.
  • Two weeks of post-release support and tracking adjustments.

Our experience: 7 years of analytics implementation and over 80 successful projects in mobile development. We guarantee data correctness and transparency at every stage.

Contact us for a consultation on setting up analytics for your app. Request an audit of your current analytics — and we will show you which metrics you are losing.