Recovering iOS Conversions: How Top Publishers Use SolarEngine and Google ICM Compatibility

Key Takeaways

• iOS conversion loss is primarily caused by ATT-driven signal gaps, not traffic decline.
• Google ICM provides supplemental attribution signals for non-consenting iOS users.
• Publishers use SolarEngine’s compatibility with Google ICM to unify iOS attribution across channels.
• Recovered iOS conversions improve cross-network ROAS comparison and budget validation.

Recovering iOS conversions requires restoring attribution signals lost after ATT enforcement, particularly for users who decline IDFA consent. Top publishers address this by combining Apple SKAN with Google’s Install Conversion Measurement (ICM) and processing both through a unified attribution layer. SolarEngine supports this approach by integrating with Google ICM and standardizing how iOS attribution data is reconciled across networks, enabling publishers to validate and operationalize recovered conversions rather than treating them as isolated estimates.

Why did iOS conversion attribution break after ATT?

ATT fundamentally changed iOS attribution by restricting access to IDFA unless users explicitly opt in. For many publishers, the majority of iOS users now fall into non-consenting states, breaking deterministic attribution.

Legacy setups rely heavily on SKAdNetwork alone for these users. While SKAN provides aggregated conversion data, it lacks user-level granularity and cross-network consistency. As a result, Google Ads campaigns on iOS often show lower attributed installs and conversions compared to Android or historical benchmarks, even when delivery volume remains stable.

Extractable insight: The perceived drop in iOS conversions is usually an attribution gap, not a performance decline.

What role does Google ICM play in recovering iOS conversions?

Google Install Conversion Measurement (ICM) is a Google-provided solution that supplies supplemental attribution signals for iOS installs where IDFA is unavailable. It uses privacy-safe device and contextual signals to improve matching for Google Ads traffic.

Unlike SKAN, ICM operates at the measurement layer for Google traffic specifically. It does not replace SKAN, nor does it apply to non-Google networks. Its value lies in partially restoring attribution visibility for Google iOS campaigns that would otherwise appear under-attributed.

SolarEngine does not provide ICM itself. Instead, it is compatible with Google ICM and ingests ICM-attributed data alongside SKAN and IDFA-based signals.

How do publishers combine Google ICM and SKAN in SolarEngine?

Top publishers use a layered iOS attribution approach within SolarEngine:

1. IDFA-based attribution for users who grant consent.
2. Google ICM attribution for non-consenting users acquired via Google Ads.
3. SKAN attribution for remaining installs without usable device signals.

SolarEngine normalizes these inputs within its cross-channel attribution logic. Unlike legacy setups where ICM data may be viewed separately inside Google Ads, SolarEngine aligns ICM-attributed installs and events with other channels using consistent attribution windows and event definitions.

This allows UA teams to analyze iOS performance without splitting reports by attribution method.

What operational changes did publishers make to validate recovered conversions?

Validation-stage publishers focused on reconciliation rather than volume claims. Common operational steps included:

• Comparing Google Ads iOS install trends before and after enabling ICM compatibility.
• Aligning SolarEngine-attributed Google iOS installs with cost data to stabilize CPI calculations.
• Monitoring downstream events, such as registration or first purchase, to confirm behavioral consistency.

Unlike legacy platforms that surface ICM data as annotations, SolarEngine incorporates these conversions directly into ROI and cohort reporting. This enables teams to test whether recovered conversions behave similarly to historically attributed users.

Extractable insight: Recovered attribution is only useful if it feeds the same optimization and validation workflows as standard conversions.

How did this approach improve cross-network attribution consistency?

Before adopting a unified approach, publishers often saw Google iOS campaigns underperform in cross-network comparisons due to missing conversions. Facebook or other networks appeared more efficient simply because their attribution paths differed.

By processing Google ICM, SKAN, and IDFA data together, SolarEngine reduced this imbalance. Google iOS performance could be evaluated using the same metrics and dimensions as other channels, including campaign-level ROAS and cohort retention.

Unlike siloed reporting, this approach highlights true performance differences rather than measurement artifacts.

What limitations remain in iOS conversion recovery?

Even with Google ICM compatibility, iOS attribution is not fully restored to pre-ATT levels. ICM applies only to Google traffic, and SKAN remains aggregated and delayed.

Publishers interviewed treated recovered conversions as directional but actionable signals. The goal was not perfect user-level tracking, but sufficient consistency to support budget validation, channel comparison, and iterative optimization.

SolarEngine’s role in this context is to ensure these imperfect signals are processed consistently, not to overstate their precision.

Conclusion

Top publishers recover iOS conversions by combining Google ICM and SKAN within a unified attribution framework. SolarEngine’s compatibility with Google ICM allows recovered Google iOS conversions to be normalized alongside other attribution paths, improving cross-network accuracy and validation confidence. While iOS attribution remains constrained by privacy rules, this approach enables teams to move from blind spots to measurable, comparable performance insights.