Why iOS Rewarded Video eCPM Is Higher Than Android (and How to Capture It)

iOS rewarded video eCPM is higher than Android because of five structural factors: higher-ARPU device demographics, lower historic iOS ad density creating supply scarcity, ATT-driven signal scarcity that increases the value of the signal that remains, brand-advertiser iOS-first budget allocation, and a UA feedback loop where iOS IAP conversion rates drive performance buyers to bid more for iOS rewarded placements. The gap is widest in US, UK, and Japan; narrowest in Tier 3 markets where Android dominates by install volume. To capture more of the iOS premium: optimize your ATT prompt timing, segment frequency caps by platform, prioritize iOS-specific demand partners in your mediation stack, and align rewarded placement moments with in-game economy design.

The actual gap: what iOS rewarded video eCPM looks like in 2026

Start with the number that shows up in your dashboard. In Q4 2024 US gaming data (Yango Ads benchmark), iOS rewarded video eCPM came in at $19.63 against Android's $16.49. That is a 19% gap, and it is the narrowest version of the comparison. The US gap is compressed relative to other Tier 1 geos because Android has strong enough US install volume to attract competitive advertiser demand. Outside the US, the gap opens considerably.

MAF.ad benchmark data from H2 2021 to H1 2022 shows iOS rewarded video at $5.86 versus Android's $2.00 in Asia (2.9x ratio) and $3.82 versus $1.19 in the Middle East (3.2x ratio). Western Europe shows iOS at $6.51 versus Android's $3.62, a 1.8x ratio. For rewarded video specifically, these gaps have not structurally narrowed since then because the underlying demand dynamics have not changed.

Here is the geo breakdown as a reference point:

US (Q4 2024 gaming): iOS Rewarded eCPM: $19.63 · Android Rewarded eCPM: $16.49 · Approx. ratio: 1.2x · Source: Yango Ads

Western Europe: iOS Rewarded eCPM: $6.51 · Android Rewarded eCPM: $3.62 · Approx. ratio: 1.8x · Source: MAF.ad H2 2021-H1 2022

Japan: iOS Rewarded eCPM: substantially higher · Android Rewarded eCPM: lower · Approx. ratio: 1.5-2x+ · Source: install share data

Middle East: iOS Rewarded eCPM: $3.82 · Android Rewarded eCPM: $1.19 · Approx. ratio: 3.2x · Source: MAF.ad

Asia (ex-JP/CN): iOS Rewarded eCPM: $5.86 · Android Rewarded eCPM: $2.00 · Approx. ratio: 2.9x · Source: MAF.ad

Tier 3 emerging markets: iOS Rewarded eCPM: low · Android Rewarded eCPM: competitive · Approx. ratio: narrows/inverts · Source: operator data

PocketGamer.biz data shows iOS holding 41% of mobile game ad revenue in Q1 2024 despite a significantly smaller global install base than Android. Per-impression iOS premium, not install volume, explains that gap.

One historical note worth having in context: ATT (App Tracking Transparency, introduced in 2021) temporarily compressed the iOS premium. GlobalGamesForum trend analysis documented iOS eCPMs dropping 20-40% in Tier 1 countries in the immediate post-ATT period, while Android drops in the US were under 5%. The premium partially recovered as the remaining iOS signal became more competitively bid. The mechanism for that recovery is covered in the ATT section below.

Format note before moving on: the iOS premium is most consistent and widest in rewarded video and rewarded interstitials. For banner inventory, Android frequently outperforms iOS in the US and Tier 1 geos. For standard interstitial in the US, Q4 2024 data shows approximate parity ($14.32 iOS vs $14.08 Android). If you are seeing the largest iOS-Android gaps in your dashboard on rewarded video, that is structurally expected, not a configuration anomaly.

Driver 1: Device demographics and advertiser ARPU models

"iOS users have more money" is the surface statement. The mechanism that converts that demographic fact into a higher auction clearing price is more specific, and understanding it tells you which levers you have.

iOS hardware pricing filters the install base. A user who bought a device at $900 is, on average, in a different income segment than a user who bought a device at $200. That income difference correlates with higher disposable spend and, critically for advertisers, higher historical in-app purchase conversion rates. Performance UA buyers running user acquisition for IAP-monetized or subscription-based apps model expected revenue per acquired user by cohort. Their iOS cohorts generate more IAP revenue per user than their Android cohorts. So their iOS bids are higher. This is not iOS favoritism. It is rational economic behavior at the auction level: the bid reflects expected ROAS, and iOS ROAS is higher.

AppLovin and Meta both run ML-driven performance UA campaigns where the model sets bids based on expected user LTV. Higher expected LTV on iOS produces higher bids on iOS rewarded placements, which raises iOS eCPMs for publishers. The advertiser is doing the math you are not seeing on your side of the dashboard.

This driver is structurally stable. The device pricing filter has existed since the App Store launch and is not narrowing in any observable trend. In the US, Android's competitive install base compresses the demographic premium somewhat (many Android US users are in higher-income segments too). In geos where Android's installed base skews lower ARPU (most of Southeast Asia, sub-Saharan Africa, rural segments of Latin America), the demographic premium is wider and the iOS eCPM gap reflects it directly.

The 19% US gap is, in this framing, the compressed version. The 2-3x gaps in the Middle East and Asia are the demographic premium at full expression.

Driver 2: Supply scarcity from lower iOS ad density

iOS apps have historically run lower ad densities than Android apps. This is a product of App Store culture (stricter review standards, a developer community that historically targeted premium users who would pay for apps or tolerate less aggressive ad loads) and a developer mix effect. Android had more ad-heavy game genres reach scale earlier, partly because Google Play review is less restrictive.

Lower ad density means fewer rewarded video impressions per session on iOS than on Android. With the same or higher advertiser demand concentrated across fewer impression opportunities, the per-impression clearing price rises. This is supply-demand mechanics at the format level. If 100 advertisers are bidding on 50 iOS rewarded opportunities per session versus the same 100 advertisers bidding on 80 Android rewarded opportunities, the average clearing price on iOS is higher.

The scarcity effect compounds with demand concentration. AppLovin, Meta, and Google are the top three iOS demand buyers and they all run real-time bidding. In a given iOS app session, the number of impression opportunities those buyers see is smaller relative to the same session on Android. More competitive bids per opportunity increases clearing price.

The operator implication is worth stating explicitly: this supply scarcity premium exists because most iOS developers have not saturated their apps with rewarded placements. Adding a second or third rewarded placement per session on iOS is not zero-sum. Up to a point, it captures demand that was not seeing an impression opportunity. Beyond that point, adding placements dilutes eCPM per impression by increasing supply. The iOS scarcity premium is partly your competitors' restraint. See Balancing Ad Revenue and User Experience on Mobile Apps for the ad density trade-off analysis in detail.

Driver 3: ATT signal scarcity and the paradox of reduced data

This is the least intuitive of the five drivers. Read it carefully because it is the one most worth getting right, both for understanding the gap and for knowing which levers actually move your eCPM.

Before ATT, iOS advertisers had IDFA-level targeting. They could build lookalike audiences, retarget by behavioral signal, and bid precisely on individual users based on tracked behavior. That precision actually diluted the platform-level premium: if you could identify high-value users individually, you did not need to bid a premium for all iOS impressions. You bid high on identified high-value users and passed on the rest.

ATT gated IDFA behind opt-in. Industry opt-in rates sit at roughly 25-35% across categories, varying by app type and how the ATT prompt is implemented. With 65-75% of iOS users no longer providing individual-level data, performance UA buyers shifted from user-level to cohort-level and contextual targeting. They could no longer cherry-pick. To reach iOS users at scale, they had to bid more broadly.

The paradox: less data per impression raised the per-impression price. Advertisers who need to reach iOS users must bid higher on the impressions that carry consent signal, or bid broadly across iOS inventory (which is already relatively expensive given Driver 1 and 2). Signal scarcity made the remaining signal more valuable, not less.

SKAdNetwork attribution limitations amplify this. SKAN gives iOS performance UA buyers degraded conversion signal relative to Android's GAID-based attribution. Campaigns are harder to optimize at the individual level. For large UA buyers who need to deploy budget at scale, high-volume iOS rewarded video becomes a scale lever even with imperfect attribution. They accept lower per-impression measurement precision and bid on volume. That volume bidding behavior keeps iOS clearing prices elevated.

The direct operator implication: your ATT opt-in rate is not just a privacy metric. It is a direct eCPM lever. An app generating 40% opt-in is producing materially more consented signal per session than an app at 20% opt-in. Performance UA buyers who have access to consented signal bid more competitively for those impressions. The correlation is real: a 10-percentage-point improvement in ATT opt-in typically translates to a 3-8% improvement in iOS rewarded video eCPM, based on the relationship between consented signal density and bid competition on the consented inventory.

For the full post-ATT attribution context, including how SKAdNetwork 4.0 Conversion Value Setup affects what signal buyers actually receive from your iOS campaigns, that article covers the schema design decisions that sit upstream of what gets measured.

Driver 4: Brand advertiser iOS-first budget allocation

Performance UA is not the only demand source for rewarded video. Brand advertisers running awareness and consideration campaigns also bid on rewarded inventory because completion rates are high and the user is in an engaged, voluntary-watch state. A user who clicked "watch an ad for 10 coins" is more attentive than a user who got a standard interstitial. Brand advertisers know this.

Brand advertisers allocate iOS-first because iOS demographics index better against their audience targets. A financial services brand targeting household income above a threshold, or a car brand targeting purchase-consideration audiences, finds iOS inventory indexes better to their audience by default. This is the same demographic premium as Driver 1, but it flows through a different advertiser category with different seasonal patterns.

Brand advertiser spend is heavily seasonal. Q4 is peak because of holiday campaigns. Q1 is trough. The iOS premium in rewarded video eCPM amplifies in Q4 when brand budgets are highest. This is why Q4 benchmark data shows the widest iOS-Android gaps, and why comparing your Q1 and Q4 iOS eCPMs without accounting for seasonality leads to misdiagnosis.

Programmatic direct and private marketplace (PMP) deals on iOS rewarded video carry a premium over open auction because brand advertisers use PMPs to guarantee iOS inventory quality. Operators running rewarded video at scale on iOS (roughly 1M or more monthly iOS impressions) have a practical basis for approaching a DSP or network about a PMP arrangement for their iOS rewarded inventory. Below that threshold, the conversation is unlikely to convert. Above it, a direct deal for iOS rewarded inventory typically produces eCPMs materially above open auction rates.

Driver 5: The UA feedback loop, IAP conversion, and rewarded video bids

This driver is specific to rewarded video and does not get discussed in the benchmark-table analysis you find on the rest of the SERP.

Rewarded video serves two purposes for UA buyers: it delivers the ad in an engaged, voluntary state (the user chose to watch), and the post-watch intent signal is strong enough that it attracts performance UA buyers as a channel even for app install campaigns. A user who completed a voluntary rewarded video watch is in a different intent state than a user who saw an interstitial that auto-played.

iOS users convert on IAP at higher rates than Android users. This is documented across multiple industry attribution sources including data.ai (formerly App Annie), AppsFlyer, and Adjust. A game monetizing via IAP will see higher IAP conversion from iOS users acquired through rewarded video ads than from Android users acquired through the same format.

This creates a reinforcing loop. Performance UA buyers running rewarded video campaigns see higher ROAS on iOS cohorts because those cohorts convert on IAP at higher rates. They raise bids on iOS rewarded video placements. That raises iOS rewarded video eCPMs for publishers. Higher eCPMs attract more publisher supply, which attracts more advertisers, which sustains the premium.

The loop is most visible in genre data. Mid-core and hardcore games show the widest iOS-Android rewarded video eCPM gaps. These genres carry heavy IAP monetization and attract aggressive UA campaigns where iOS ROAS is meaningfully above Android. Advertisers in casino, strategy, and mid-core RPG verticals are paying for the iOS cohort quality explicitly in their bid prices. Hyper-casual and puzzle games show a narrower gap because their monetization model is primarily ad-based rather than IAP-based, and the feedback loop that amplifies iOS bids is less active when IAP conversion differences are not driving ROAS.

Practical implication: if your app monetizes via IAP on iOS, your rewarded video inventory is more valuable to UA buyers than it would be for a pure ad-based app. Weight your mediation stack and floor prices to reflect that.

Where the gap is widest and where it closes

The iOS premium is not uniform. Geo and app category both modulate it, and knowing where the gap is thin helps you prioritize where to spend optimization effort.

Geos where the gap is widest:

Japan: iOS holds over 55% mobile market share, well above the global average of roughly 27%. Advertiser demand for iOS inventory is concentrated against limited Android supply of comparable quality. For rewarded video, Japan is one of the highest iOS premium markets globally.

Middle East (UAE, Saudi Arabia): High-income iOS users in Gulf countries versus a broader Android install base drives the demographic premium hard. MAF.ad benchmark data measured the gap at 3.2x, which is consistent with operator data from the region.

Asia (ex-Japan, ex-China): iOS users are concentrated in higher-income segments of markets like South Korea, Taiwan, Singapore, and Hong Kong. The 2.9x ratio in MAF.ad data reflects this. China is excluded because of its distinct app store dynamics.

United States: Real but compressed. Q4 2024 US gap was approximately 19%. Android has enough US install volume and advertiser demand to narrow the premium. Q4 widens the gap because brand spend concentrates on iOS during holiday campaigns.

United Kingdom and Western Europe: Moderate premium. UK showed iOS at $13.81 average rewarded eCPM versus Android at $12.91 in Udonis/Appodeal data. The gap is likely in the 10-25% range in non-Q4 periods, widening to 20-40% in Q4.

Geos where the gap closes or inverts:

Tier 3 emerging markets (most of Southeast Asia outside Singapore and Hong Kong, sub-Saharan Africa, rural segments of Latin America): Android dominates install volume. The iOS demographic premium is thin. Advertiser demand for Android inventory in these geos is competitive enough to match or exceed iOS eCPMs in some categories.

Brazil and Mexico: Mixed. Android install volume dominance means advertiser demand for Android is competitive. The iOS premium on rewarded video is likely in the 10-20% range rather than the 50-200% seen in Tier 1 markets.

India: Android-dominant. The iOS install base is small and high-income, but advertiser demand for Android Indian inventory is mature enough to compress the per-impression gap.

App category:

Mid-core and hardcore gaming show the widest gap (UA feedback loop fully active, brand spending concentrated on iOS). Hyper-casual gaming shows a narrower gap (ad-based monetization reduces the feedback loop intensity). Utility apps vary depending on whether the app has a subscription or IAP model that attracts performance UA spend.

The capture playbook: how to extract more value from the iOS premium

Every other source on the SERP shows the gap. This section explains how to close more of it. The levers below are configuration changes, not product changes.

Lever 1: ATT prompt timing and copy

Your ATT opt-in rate directly affects rewarded video eCPM through the signal scarcity mechanism in Driver 3. Two levers:

Timing: show the ATT prompt after the user has experienced value from the app. After completing a level, after a successful session moment, not on first launch. First-launch prompts typically achieve 15-25% opt-in. Post-value prompts typically achieve 28-40%. The difference in opt-in rate translates directly to consented signal density, which translates to bid competition on your iOS inventory.

Pre-prompt context screen (the soft ask): iOS allows showing a custom screen before the system prompt. This screen should explain concretely what consent enables. For a game: "Allow personalized ads to support the game's free development" is more effective than a generic privacy statement. The soft ask screen moves opt-in rates by 5-12 percentage points based on publisher-shared data. A 10-point improvement in opt-in rate typically translates to a 3-8% improvement in iOS rewarded video eCPM.

For the full post-ATT attribution context and how ATT opt-in connects to your SKAN signal quality downstream, see SKAdNetwork 4.0 Conversion Value Setup.

Lever 2: Rewarded placement design tied to in-game economy

Rewarded video eCPM is higher when completion rates are high and skip rates are low. Performance UA buyers bid based on expected post-watch conversion. High completion rates make your inventory more attractive at auction.

Completion rate is a function of reward design. If the reward is genuinely valuable within the game economy (currency that meaningfully accelerates progress, a rare item, a continue), users watch to completion. If the reward is decorative or easily bypassed, completion rates drop and your eCPM follows.

Three placement design principles:

Tie the reward to a genuine friction moment. The most effective placements are at decision points where the user has invested in a session and faces a setback: lost a life, ran out of currency, near a milestone. The reward converts the frustration moment into an ad engagement.

Use optional prompts, not forced interrupts. Optional rewarded video (user initiates by tapping) produces higher completion rates than semi-forced presentations. Higher completion rates translate to higher eCPMs from performance UA buyers.

Limit consecutive rewarded opportunities. Showing a rewarded opportunity every 2-3 minutes within a session is the practical ceiling for most games. Above that frequency, users start ignoring prompts, which drops impression volume without raising eCPM.

See Balancing Ad Revenue and User Experience on Mobile Apps for the full ad density and placement design analysis across formats.

Lever 3: Platform-specific frequency caps

iOS rewarded eCPM per impression is higher than Android. That means the marginal revenue of each additional iOS impression is higher, but eCPM is also more sensitive to frequency degradation. The correct frequency cap strategy is different across platforms.

iOS: 3-5 rewarded video opportunities per session per unique placement, 6-8 total per user per day. Above this, completion rates drop and eCPM per impression degrades.

Android: 4-7 per session per placement, 8-12 per user per day. Android users in gaming contexts tolerate slightly higher rewarded ad density before engagement drops.

The math that makes this concrete: if iOS rewarded eCPM is $18 and Android is $13, but iOS completion rate drops from 90% to 65% after the fourth impression in a session (versus Android staying at 85% at the same frequency), the effective revenue per fourth iOS impression may fall below the effective revenue per fourth Android impression. Frequency capping iOS conservatively protects eCPM integrity for the impressions you do show.

The platform-specific frequency and floor configuration is the most commonly neglected lever in dual-platform rewarded setups. If your mediation stack treats iOS and Android identically, you are under-earning on iOS. A structured review of your mediation configuration is the right starting point. Book a free 30-minute call.

Lever 4: iOS-specific floor prices in your mediation stack

Most operators set a single eCPM floor for rewarded video and apply it across platforms. This is a configuration error. iOS rewarded video clearing prices are consistently higher than Android. A platform-parity floor either under-floors iOS (leaving money on the table when bids come in above your floor but below where a correctly set iOS floor would sit) or over-floors Android (hurting fill rate by setting a bar that Android demand cannot clear as consistently).

Configure separate floors by platform:

Identify your current 30-day iOS rewarded video eCPM by geo segment.
Set iOS floor at 75-80% of your 30-day iOS eCPM baseline for that geo.
Set Android floor at 65-70% of your Android baseline.
Review monthly and adjust for seasonal shifts. Q4 floors should be 15-25% higher than Q2 floors across both platforms.

In AppLovin MAX, use the eCPM Floor setting per mediation group and create separate mediation groups for iOS and Android traffic if your current setup does not segment them. In AdMob, the mediation group configuration supports platform-level targeting. See AdMob Mediation vs AppLovin MAX for the configuration comparison across both platforms.

Lever 5: iOS-weighted demand partner mix

Not every demand partner performs equally on iOS and Android. AppLovin holds approximately 37% of iOS gaming ad market share versus 24% on Android (PocketGamer Q1 2024 data). For rewarded video specifically, AppLovin, Meta, and Unity Ads are the top iOS demand partners. If your mediation stack weights toward networks with stronger Android demand (certain regional networks, InMobi in specific geos), you are not running full auction competition on iOS.

Audit: for each demand partner in your rewarded mediation stack, review iOS versus Android fill rate and eCPM separately. If a network shows iOS fill rate below 60% where Android is above 80%, that network's iOS demand is thin. Deweight it in the iOS bidding group or replace it with a partner that has stronger iOS demand depth.

Also confirm your SDK and adapter versions are current. An AppLovin, Meta, or Unity adapter that is behind the current release may exclude you from their bidding competition or return degraded bid values. The Mediation SDK Checker audits your dependency files for known compatibility issues, including cases where updated mediation SDKs have added new SKAdNetwork IDs that are not yet in your declared list. See AppLovin MAX vs Unity LevelPlay for the demand depth comparison across the two primary iOS mediation platforms.

You can also review your AdMob mediation configuration with the AdMob Approval Checker before the call.

Lever 6: Premium-geo UA mix alignment

If you run paid user acquisition, you can influence the geo composition of your iOS install base. Acquiring more users in US, UK, Japan, and Gulf markets increases the proportion of your iOS base that generates premium rewarded eCPMs.

This is a longer-cycle lever. UA mix changes take 60-90 days to show in eCPM trends because rewarded video performance reflects the composition of the installed base, not just new installs. For operators running paid iOS UA, geo-weighting campaigns toward Tier 1 and premium Tier 2 markets compounds the iOS premium effect over time. The mechanism: more Tier 1 iOS users raises the average LTV of your cohort, which raises the ROAS signal for performance UA buyers, which raises their bids on your iOS inventory.

When iOS premium is not the right focus

The contrarian case: not every operator should be optimizing for the iOS premium. Knowing when it is the wrong target saves you from optimizing something that is not the primary revenue driver.

You are likely better off focusing on Android optimization if:

More than 70% of your DAU is on Android. The incremental iOS premium is small relative to the revenue weight of your Android base. Optimizing Android eCPM, frequency, and placement design will produce more total revenue than chasing the iOS premium from a thin iOS install base.

Your app's iOS users are concentrated in Tier 3 geos. The iOS premium is most actionable when your iOS users are in premium geos. An iOS user base concentrated in India or Indonesia generates less eCPM premium than the benchmark tables suggest. Check your own platform-segmented eCPM by geo before assuming the global iOS premium applies to your setup.

Your UA spend is primarily organic or paid Android. Chasing iOS premium without an iOS UA strategy to grow the install base means optimizing a static or shrinking share of revenue.

What Android-focused operators should prioritize instead:

Geo-segmented floors on Android. Tier 1 Android floors should be set separately from Tier 2 and Tier 3. Running a single Android floor across your global install base almost certainly under-floors your US and UK Android inventory.

Android-specific demand partner weighting. Google AdMob carries approximately 28% of Android gaming revenue versus 15% for iOS. Google UAC buyers are heavy on Android. Your Android mediation stack should reflect that demand distribution, not mirror your iOS setup.

Offerwall consideration for Android gaming. Offerwall CPMs on Android gaming ($400-530 average, up to $1,500 per mille in some categories per Udonis/MAF.ad data) can significantly exceed rewarded video eCPMs for apps where session depth supports the format.

Android-specific rewarded frequency. Android users in gaming contexts tolerate higher ad density before engagement degrades, which means the frequency ceiling is higher than on iOS.

Whether the right direction is iOS-focused optimization or Android-first configuration depends on your actual user base composition and geo split. If you are not sure which direction your stack should prioritize, that is exactly the kind of question a structured review surfaces in the first pass. Book a free 30-minute call.

For the demand mix optimization context across both platforms, see Mediation Waterfall vs In-App Bidding.

Frequently Asked Questions

Why is iOS rewarded video eCPM higher than Android in 2026?

Five structural drivers produce the gap. First, iOS device pricing filters the user base toward higher-income demographics, and performance UA advertisers bid more for iOS inventory because their iOS cohorts generate higher IAP revenue. Second, iOS apps historically run lower ad densities, creating supply scarcity that pushes clearing prices up. Third, ATT reduced individual-level targeting data on iOS, but the signal that remains is more competitively bid because there is less of it. Fourth, brand advertisers allocate iOS-first because iOS demographics index well against their target audience. Fifth, iOS IAP conversion rates are higher than Android, which reinforces performance UA buyers bidding more for iOS rewarded placements. In Q4 2024, the US gap was approximately 19% ($19.63 iOS vs $16.49 Android in gaming). In geos like Japan, the Middle East, and non-Japan Asia, the gap reaches 2-3x.

What is a typical iOS vs Android rewarded video eCPM gap?

The gap varies significantly by geo. In the US (Q4 2024 gaming data), iOS rewarded video eCPM is approximately 19% higher than Android ($19.63 vs $16.49). In Western Europe, the gap is typically 20-50% depending on country and season. In Japan, iOS is dominant by install share and commands eCPMs in the 1.5-2x range above Android. In the Middle East, benchmark data has measured a 3.2x gap ($3.82 iOS vs $1.19 Android). In Tier 3 emerging markets, the gap narrows significantly or reverses because Android install volume dominates and advertiser demand for Android inventory in those geos is strong. Q4 always shows the widest gap because brand advertiser spend concentrates on iOS during holiday campaigns.

How does ATT affect iOS rewarded video eCPM?

ATT (App Tracking Transparency) reduced individual-level targeting on iOS, which initially caused iOS eCPMs to drop sharply. Trend data showed 20-40% drops in Tier 1 markets post-ATT. Over time, the effect partially reversed. With less per-impression data available, performance UA buyers shifted to cohort and contextual targeting, concentrating their bids on high-quality iOS inventory rather than precision individual targeting. The signal that remains (consented users, contextual signals, SKAdNetwork data) is more competitively bid because there is less of it. Your ATT opt-in rate is now a direct eCPM lever: apps with higher opt-in rates generate more consented signal per session, which increases bid competition on their iOS inventory. A 10-percentage-point improvement in opt-in rate typically translates to a measurable improvement in iOS rewarded video eCPM. ATT prompt timing (showing the prompt after the user has experienced app value rather than on first launch) and a custom pre-prompt context screen are the main levers for improving opt-in rates.

Should I focus my rewarded video optimization on iOS users?

If iOS represents more than 30-35% of your DAU and your iOS users are in Tier 1 or premium Tier 2 geos (US, UK, Japan, Western Europe, Gulf markets), yes. iOS-specific optimization produces disproportionate revenue gains because each iOS impression earns more. The specific levers are: ATT prompt timing to improve opt-in rate, platform-specific floor prices in your mediation stack (iOS floors should be set separately from Android floors based on your actual iOS eCPM baseline), and iOS-weighted demand partner configuration. If your iOS base is small or geo-concentrated in Tier 3 markets, Android optimization and geo-level floor pricing for your Android base will generate more total revenue. The premise only holds when the iOS premium actually applies to your specific user base. Check your own platform-segmented eCPM data before optimizing for a premium that may not be present at your scale or in your geos.

How do I improve my Android rewarded video eCPM?

Android eCPM optimization follows most of the same levers as iOS but without the ATT signal dimension. On Android, Google Play's advertising ID (GAID) is still available by default, giving performance UA buyers more targeting signal than iOS post-ATT. To improve Android rewarded video eCPM: set geo-segmented floors (Tier 1 Android floors separately from Tier 2 and Tier 3 floors), weight Google AdMob and AppLovin in your Android mediation stack since they hold the largest Android gaming demand share, review frequency caps (Android users tolerate slightly higher ad density before engagement drops than iOS users), and consider offerwall formats for Android gaming apps where session depth supports it. Offerwall eCPMs in Android gaming contexts significantly exceed rewarded video eCPMs. Platform-specific floor prices are the highest-leverage single configuration change for most operators: setting Android floors based on your actual Android eCPM baseline rather than using a platform-parity floor typically improves both fill rate and revenue on Android.

Why did my iOS rewarded video eCPM drop?

There are five common causes. First, a drop in ATT opt-in rate: if a recent app update changed the timing or copy of your ATT prompt, opt-in rates may have declined and taken consented signal with them, reducing bid competition on your iOS inventory. Second, a seasonal floor not updated for the period: iOS eCPMs are significantly lower in Q1 and Q3 than Q4; if your floors are set at Q4 levels in Q1, fill rate may have dropped even if eCPM per filled impression held, which is often misread as an eCPM drop. Third, demand partner SDK or adapter version out of date: if your AppLovin, Meta, or Unity adapter is behind the current release, you may be excluded from their bidding competition or receiving degraded bid values. Fourth, placement saturation: if recent updates added rewarded placements without adjusting frequency caps, completion rates may have fallen and dragged eCPM with them. Fifth, a macro eCPM cycle: iOS rewarded video eCPMs are sensitive to performance UA budget cycles, and broad market pullbacks can drop iOS eCPMs 20-40% in Tier 1 markets regardless of your configuration.

Starting point

The iOS-Android eCPM gap is structural. You cannot close it entirely on Android, but you can capture more of the iOS premium that your install base already generates. The five levers in the capture playbook (ATT opt-in, placement design, frequency, floor prices, demand mix) are all configuration changes, not product changes. Getting them right on iOS is worth the work.

If you want to run this against your actual dashboard numbers rather than against benchmarks, the free initial conversation is the right place to start. Book a free 30-minute call.