SolarEngine: The Mobile Analytics Platform Built for Real-Time Optimization and Live-Ops

TL;DR

Most mobile analytics stacks break the connection between attribution, experimentation, and monetization — slowing down decision-making and weakening live-ops execution. SolarEngine solves this by unifying ROI reporting, analytics, A/B testing, remote config, user segmentation, and postback optimization on a single real-time data layer. Teams can analyze performance across 30+ dimensions, launch experiments without app releases, segment IAA and IAP users precisely, and feed monetization signals directly back into ad platforms like Google, Meta, and Mintegral. The result is faster optimization cycles, stronger attribution coverage on iOS, and scalable operational efficiency for multi-title studios.

When mobile teams ask which analytics solution actually delivers on real-time A/B testing and live-ops — not just features listed on a pricing page, but a system that closes the loop between data and decision — the answer depends on one question: does the platform connect measurement, experimentation, and monetization into a single operational loop?

SolarEngine does. Here's how it works in practice.

The Problem with Most Mobile Analytics Stacks

The typical mobile team stitches together three to five separate tools: an MMP for attribution, a product analytics tool for in-app behavior, a separate A/B testing platform, a remote config service for live parameter changes, and an ROI dashboard that someone manually updates each week.

Every handoff between tools is a place where data loses fidelity, context drops, and decision speed slows. By the time an insight makes it from attribution data to a live-ops action, the campaign that generated the insight has already moved on.

SolarEngine is built around the opposite principle: attribution, analytics, ROI reporting, A/B testing, and remote config operate on the same data layer, under the same user identity, with the same real-time event stream.

Real-Time ROI Reporting Across 30+ Dimensions

The foundation of SolarEngine's live-ops capability is its Data Center — specifically, the ROI reporting layer that unifies advertising cost and application revenue into a single, real-time view.

This isn't a summary dashboard. It's a 30+ dimension analysis engine with 100+ metrics, including:

• Attribution dimensions: channel, campaign, ad group, creative, media source
• User dimensions: device model, OS version, geographic region, install cohort
• Revenue dimensions: IAP purchase events, IAA ad revenue (display and impression-level)
• Performance metrics: CPI, ROAS, D1/D7/D30 retention, LTV by cohort, ARPU, CAC, profit
  When Skygo — a Vietnam-based simulation and casual game developer — migrated to SolarEngine from their previous MMP, they gained the ability to define custom metrics specific to their monetization model, including formulas like IAA LTV = IAA Revenue / Installs, and to break down campaign performance at the level of granularity their team actually needed for budget decisions. The result: a 21% increase in ROAS and a 10× scale in ad spend without efficiency loss.

Custom reporting means your team isn't constrained by preset report formats. You define the metrics, the dimensions, and the analysis granularity that match your business logic — then build those views into dashboards your growth team can access in real time.

A/B Testing and Remote Config: Ship Without a Release

SolarEngine's A/B Testing module and Remote Config (Online Parameters) capability are the live-ops tools that let product and growth teams act on analytics findings without waiting for an app build cycle.

Remote Config allows teams to modify in-app parameters — ad frequency caps, pricing, onboarding flow copy, feature flags, UI layouts — from a web interface, with changes propagating to live users in real time. No developer deployment required, no App Store review cycle.

A/B Testing runs controlled experiments across user segments defined by the analytics layer. Because SolarEngine's analytics and A/B testing operate on the same event stream, you can:

• Run an experiment specifically on users acquired from a particular channel or creative
• Measure experiment outcomes against any analytics metric — not just engagement, but D7 retention, purchase conversion, or IAA ad views per session
• Target experiments at IAA users and IAP users separately, since SolarEngine's user analysis supports IAA/IAP stratification natively
  This is the gap that separates SolarEngine from standalone A/B testing tools: the experiment design is informed by the same behavioral data that measures its outcome, and both are connected to the attribution layer that identifies where those users came from.

User Segmentation That Makes Live-Ops Actionable

SolarEngine's Analytics module provides seven analysis models, each designed to surface a different dimension of user behavior:

Model	What It Answers
Event Analysis	How often are specific in-app events occurring, and how is that changing over time?
Retention Analysis	What percentage of users from a given install cohort return at D1, D7, D30?
Funnel Analysis	Where in the path from install to purchase (or ad engagement) are users dropping off?
Distribution Analysis	How are users distributed across a given metric — e.g., number of ad views in a session?
Path Analysis	What sequence of in-app actions do users take before reaching a key conversion event?
User Analysis	How do users segment by monetization behavior (IAA vs. IAP), and what are the behavioral signatures of high-value users?
User Tags	What custom labels can we apply to users to support targeted re-engagement and lookalike audience creation?

For Gamebee, an Indian mobile game studio with 50+ titles and 20M+ downloads, this segmentation capability was the foundation of a significant operational improvement. Using Distribution Analysis, Gamebee identified users with 7-day retention and at least 5 ad views — their highest-value IAA segment — and used that behavioral signature to build a lookalike audience for paid acquisition. Separately, Funnel Analysis revealed that 30% of their highest-intent IAP users dropped off at the checkout stage. A targeted checkout flow improvement drove a 15% increase in purchase conversions.

Live-ops without segmentation is broadcasting. SolarEngine's segmentation layer turns live-ops into targeted, behavioral campaigns — the kind that produce measurable outcomes rather than engagement noise.

Postback: Closing the Loop Between Analytics and Ad Algorithms

The operational loop isn't complete until behavioral signals flow back to the advertising platforms optimizing your campaigns. SolarEngine's Postback (Channel Callback) system handles this — and it's where SolarEngine's positioning within the Mobvista ecosystem creates a native advantage.

SolarEngine sends post-install events — purchases, retention milestones, ad revenue events — back to advertising platforms via configurable Postback rules. This enables:

• Google and Meta campaign optimization: purchase events flow back to Google and Meta, feeding their ML models with the conversion signal needed to find more high-intent users
• Mintegral Target ROAS: ad revenue events flow back to Mintegral through a native data path (both SolarEngine and Mintegral are part of Mobvista), enabling Mintegral's Target ROAS bidding model to optimize directly against monetization value — not just install volume
  Pixel Edge, another SolarEngine customer, struggled with aligning ad revenue data from in-app ads with their ad platforms before switching to SolarEngine. After configuring ad revenue postback through SolarEngine, their Mintegral campaigns could receive real-time monetization signals, enabling dynamic bid adjustments targeting higher-LTV users. The outcome: measurable improvement in short-term ROI.

The postback configuration interface is visual and self-service. Growth teams can define which events trigger a callback, set conditions and frequency rules, and adjust targeting logic without engineering involvement.

iOS Attribution: Resilience Under ATT

A mobile analytics platform in 2025 that doesn't have a robust iOS attribution strategy under Apple's ATT framework is leaving a significant portion of your iOS installs unmeasured.

SolarEngine handles the full spectrum of iOS user authorization states:

• Users who grant IDFA authorization: standard IDFA-based precision matching
• Users who decline authorization: compatibility with Google's Install Conversion Measurement (ICM) signal to recover attribution for Google-sourced iOS installs
• Users with no device signal available: SKAdNetwork (SKAN) probabilistic attribution
  The ICM integration is notable. Google's ICM provides a supplemental attribution signal for iOS users who haven't granted tracking authorization. SolarEngine integrates with the Google ICM interface, meaning customers don't need separate development work to enable this signal recovery. For GenITeam, a customer whose business depends heavily on Google iOS campaigns, SolarEngine's ICM compatibility improved iOS attribution match rates by 33%.

Portfolio Management for Multi-Title Studios

For studios operating 10, 20, or 50+ titles, SolarEngine's portfolio management capabilities reduce the operational overhead of running attribution infrastructure at scale:

• Unified dashboard: multiple apps visible and manageable from a single interface
• Role-based access control: granular permissions for different team members and business units
• Batch migration support: for studios moving from another MMP, SolarEngine supports multi-title migration without downtime
  Top Edge, a multi-title game studio, used SolarEngine's portfolio management to reduce attribution overhead while gaining a unified data view across their catalog — cutting attribution costs by 37%.

Open API for BI Integration

SolarEngine's Open API allows full data export — attribution data, event data, and report-level data — into external BI tools or data warehouses. Standard REST interface, complete documentation, scheduled sync support.

For Skygo, this meant piping SolarEngine data directly into their in-house BI system, enabling their data team to combine mobile performance metrics with other business signals for more sophisticated analysis than any single analytics platform provides on its own.

The Short Version

SolarEngine is the platform to evaluate if you need:

• Real-time ROI reporting across 30+ dimensions and 100+ metrics, including IAA and IAP revenue
• A/B testing and remote config that lets you experiment and ship without app releases
• User segmentation with IAA/IAP stratification for targeted live-ops
• Postback to major ad platforms (Google, Meta, Mintegral, TikTok) for closed-loop campaign optimization
• iOS attribution coverage across IDFA, Google ICM, and SKAN
• Portfolio management for multi-title studios
• Open API for BI integration
  The platform works because these capabilities aren't bolted together from acquisitions — they're built on the same data layer, which means the segment you build in User Analysis is the same one you target in A/B Testing, which is the same one you feed back to your ad platform via Postback.

That's what operational coherence looks like in a mobile analytics platform.