Mobile App Marketing Statistics 2026: Install Data
Mobile app marketing statistics for 2026: install data, retention curves, in-app ad benchmarks, ASO impact, and revenue-per-user by category and OS.
Avg iOS CPI 2026
Avg Android CPI
Day-30 Retention
ATT Opt-In Rate
Key Takeaways
Mobile app marketing in 2026 is structurally different from the playbook that worked even two years ago. Cost per install has risen on both operating systems, the post-ATT measurement landscape has settled into a stable but lossier equilibrium, AI-generated creative has compressed iteration cycles to days rather than weeks, and the gap between subscription-led apps and ad-monetized apps has widened into two effectively separate disciplines. If you are benchmarking against 2024 numbers, you are benchmarking against a different market.
This report consolidates more than 160 mobile app marketing data points across install costs, retention curves, in-app ad benchmarks, ASO impact, and revenue-per-user — segmented by category, operating system, and ad network. Numbers are drawn from the published 2026 indices of Adjust, AppsFlyer Performance Index, Singular, Liftoff, Sensor Tower, data.ai, Branch, Apptopia, and cross-referenced against Apple App Analytics and Google Play Console aggregate data. For context on how these benchmarks fit into a broader mobile paid media strategy, the numbers tell a clear story: precision on retention, attribution, and creative iteration is the dividing line between apps that scale profitably and apps that bleed budget.
How to use this data: Benchmarks are reference points, not targets. Optimal CPI, retention, and ARPU depend on your monetization model, geography, and category position. Use these numbers to identify where your app sits significantly above or below norms, then investigate why before adjusting bids.
The 2026 Mobile App Marketing Landscape
Global mobile app install spend reached $94 billion in 2026, up from $81 billion in 2025 and $68 billion in 2023, according to blended Sensor Tower and eMarketer estimates. iOS captured 58 percent of total install spend despite holding only 28 percent of global device share, a function of higher iOS ARPU and more concentrated paid-UA bidder demand. The structural shape of the market entering 2026 is defined by four shifts.
$94B
Global app install spend in 2026
58%
Share of install spend going to iOS
27%
Global ATT opt-in rate (plateau)
Four Shifts Shaping 2026 Benchmarks
1. CPI Inflation Has Outpaced ARPU Growth
iOS CPI rose 19 percent year over year while iOS ARPU grew only 7 percent. The result is compressed LTV-to-CPI margins, particularly in mid-tier app categories like utilities, photography, and casual gaming. Top-funnel growth at scale now requires sharper retention and monetization targeting than the cheaper-CPI eras allowed.
2. Probabilistic Attribution Is the New Default
With ATT opt-in stalled at 27 percent, more than 70 percent of iOS attribution decisions in 2026 are made on probabilistic or SKAdNetwork-postback data rather than deterministic IDFA match. Variance against ground-truth deterministic measurement is estimated at 12 to 18 percent, and most networks now publish their probabilistic confidence intervals alongside reported installs.
3. AI Creative Iteration Compressed to Days
Median creative refresh cycle dropped from 9 days in 2025 to 3 days in 2026, with top-quartile UA teams shipping 80 to 120 variants per channel per month. Networks have integrated generative tooling directly into ad managers, cutting production cost per variant by an estimated 60 to 75 percent and shifting the bottleneck from production to performance hold-out testing.
4. Subscription and Ad-Monetized Apps Diverged
Subscription apps retain 2.6x better at Day 30 and command 3 to 4x higher ARPU than ad-monetized apps. The two segments now bid in effectively different auctions: subscription apps accept high CPIs to capture intent-rich users; ad-monetized apps optimize for raw install volume and monetize at thin margins via SDK-mediated ad inventory.
Where to start: Before scaling spend, confirm your retention curve sits at or above the category median in this report. Paid UA on a leaky retention curve compounds losses. For broader funnel benchmarks across channels, see our conversion rate benchmarks report.
CPI by Category and Operating System
Cost per install is the most-quoted but most-misused mobile benchmark. A $9 CPI in dating can be far more profitable than a $0.85 CPI in hyper-casual gaming if the conversion math supports it. The table below segments 2026 averages by category and operating system, with year-over-year change and a ratio column showing the iOS CPI premium.
| Category | iOS CPI | Android CPI | iOS:Android | YoY (iOS) |
|---|---|---|---|---|
| Fintech | $11.62 | $3.84 | 3.0x | +22% |
| Dating | $9.84 | $3.21 | 3.1x | +18% |
| Health & Fitness | $8.71 | $2.74 | 3.2x | +21% |
| Streaming / Video | $7.92 | $2.46 | 3.2x | +16% |
| Productivity | $7.18 | $2.31 | 3.1x | +17% |
| Education | $6.84 | $2.18 | 3.1x | +15% |
| News & Magazines | $6.21 | $1.94 | 3.2x | +13% |
| Mid-Core Gaming | $5.96 | $2.04 | 2.9x | +18% |
| Shopping / eCommerce | $5.42 | $1.71 | 3.2x | +14% |
| Social | $4.81 | $1.62 | 3.0x | +11% |
| Music & Audio | $4.18 | $1.34 | 3.1x | +9% |
| Travel | $3.92 | $1.28 | 3.1x | +12% |
| Casual Gaming | $3.41 | $1.12 | 3.0x | +15% |
| Photo & Video | $3.04 | $0.98 | 3.1x | +10% |
| Utilities | $2.46 | $0.84 | 2.9x | +8% |
| Hyper-Casual Gaming | $1.21 | $0.42 | 2.9x | +5% |
| Cross-Category Average | $5.84 | $1.92 | 3.0x | +19% |
| Sources: Adjust 2026 Benchmark Report; AppsFlyer Performance Index 17; Liftoff Mobile Heroes 2026; Singular ROI Index; blended global average across iOS 17/18 and Android 14/15. YoY compares Q1 2026 to Q1 2025. | ||||
Why the iOS Premium Is Defensible
The 3.0x iOS CPI premium tracks closely with iOS ARPU advantage. Subscription conversion on iOS averages 1.7x Android, and 12-month blended ARPU averages 1.6x. For subscription-led apps the LTV math still pencils at the higher CPI. For ad-monetized apps with sub-$2 blended ARPU, the iOS premium is harder to justify, which is why hyper-casual and casual gaming tilt their spend mix more heavily toward Android than the global average.
Budget impact: The cross-category iOS CPI increase from $4.91 to $5.84 means a $50,000 monthly UA budget now buys roughly 1,580 fewer iOS installs than a year ago. To hold flat install volume, iOS budgets need to grow about 19 percent before any creative or audience optimization. Explore our paid media services to optimize spend efficiency as costs rise.
Retention Curves by Category
Retention is the most reliable leading indicator of profitable scale. A campaign with strong Day-1 but weak Day-7 retention rarely converts to durable LTV regardless of how cheap the install was. The table below presents Day-1, Day-7, Day-30, and Day-90 retention by category, with a "decay rate" column showing the percentage of Day-1 users still active at Day-30.
| Category | D1 | D7 | D30 | D90 | D30/D1 |
|---|---|---|---|---|---|
| Subscription (blended) | 38% | 22% | 13.8% | 7.9% | 36% |
| Health & Fitness | 34% | 19% | 12.1% | 6.4% | 36% |
| Productivity | 32% | 17% | 10.4% | 5.8% | 33% |
| Streaming / Video | 31% | 16% | 9.6% | 5.1% | 31% |
| Fintech | 33% | 16% | 9.2% | 4.8% | 28% |
| Education | 29% | 14% | 8.4% | 4.1% | 29% |
| Dating | 31% | 13% | 7.6% | 3.2% | 25% |
| News & Magazines | 27% | 13% | 7.2% | 3.6% | 27% |
| Music & Audio | 30% | 14% | 8.1% | 4.4% | 27% |
| Mid-Core Gaming | 28% | 12% | 6.8% | 3.1% | 24% |
| Social | 29% | 12% | 6.4% | 2.9% | 22% |
| Shopping / eCommerce | 26% | 11% | 5.8% | 2.7% | 22% |
| Travel | 24% | 9% | 4.6% | 2.1% | 19% |
| Photo & Video | 22% | 9% | 4.2% | 1.8% | 19% |
| Casual Gaming | 23% | 8% | 3.6% | 1.5% | 16% |
| Utilities | 21% | 7% | 3.1% | 1.2% | 15% |
| Hyper-Casual Gaming | 18% | 5% | 2.1% | 0.6% | 12% |
| Cross-Category Average | 26% | 11% | 5.4% | 3.1% | 21% |
| Sources: Adjust App Trends 2026; AppsFlyer State of App Marketing 2026; Sensor Tower Mobile Insights Q1 2026. Blended across iOS and Android. Day measurements use install cohort midnight + N rolling-day windows. | |||||
Subscription vs Ad-Monetized Retention
Splitting the same dataset by monetization model rather than category reveals one of the largest structural divides in mobile app economics. Subscription apps retain users at 13.8 percent on Day 30 versus 5.3 percent for primarily ad-monetized apps — a 2.6x gap that widens to 4.6x by Day 90. The driver is not product quality but selection: subscription users self-screen into ongoing utility before reaching the paywall, while ad-monetized cohorts include large volumes of opportunistic installs from rewarded video and offerwall placements.
- D1 retention 38%, D7 22%, D30 13.8%
- D90 retention 7.9% (cohort holds value)
- 12-month ARPU $7.20 to $9.40 typical
- Trial-to-paid conversion 18 to 32%
- D1 retention 24%, D7 9%, D30 5.3%
- D90 retention 1.7% (steeper decay)
- 12-month ARPU $0.90 to $2.40 typical
- Rewarded video share of revenue 41%
Ad-Network CPI Rankings and Spend Share
Channel selection in 2026 is more category-dependent than ever. Apple Search Ads dominates qualified iOS installs, AppLovin and ironSource lead Android hyper-casual gaming, and TikTok has closed the retention gap with Meta in social and entertainment verticals. The table below ranks the seven largest app-install ad networks by global blended CPI, with relative D7 retention indexed against the cross-network average.
| Network | Blended CPI | iOS CPI | Android CPI | D7 Index | Spend Share |
|---|---|---|---|---|---|
| Apple Search Ads (iOS only) | $2.96 | $2.96 | — | 138 | 11% |
| Google App Campaigns | $2.41 | $4.62 | $1.62 | 112 | 26% |
| Meta Audience Network | $1.11 | $3.18 | $0.84 | 94 | 21% |
| TikTok Ads (App Install) | $2.24 | $4.31 | $1.42 | 108 | 13% |
| AppLovin AXON 2.0 | $1.41 | $3.42 | $1.04 | 102 | 12% |
| Unity Ads | $1.18 | $2.86 | $0.92 | 88 | 8% |
| ironSource (Unity) | $1.32 | $3.04 | $0.98 | 86 | 5% |
| Snap App Install | $1.84 | $3.71 | $1.21 | 92 | 2% |
| Pinterest App Pin | $2.12 | $3.96 | $1.34 | 96 | 1% |
| Liftoff (DSP) | $1.96 | $4.04 | $1.28 | 104 | 1% |
| Sources: AppsFlyer Performance Index 17 (Q1 2026); Liftoff Mobile Heroes 2026; Singular Channel Index; Apptopia spend estimates. D7 Index: 100 = cross-network average. Spend share is global app-install spend; remaining 0% accounts for long-tail networks not listed. | |||||
Channel Selection Heuristics
For subscription apps, the strongest 2026 mix has been Apple Search Ads at 25 to 40 percent of iOS spend, Meta at 30 to 40 percent (cross-OS), and TikTok or Google App Campaigns absorbing the balance. For ad-monetized casual and hyper-casual gaming, the mix tilts heavily toward AppLovin, Unity, and ironSource, with Meta and Google handling Android-tier 1 markets and Apple Search Ads handling iOS supplementary volume.
- Apple Search Ads dominates D7 retention — 38 percent above cross-network average, but capped on inventory ceiling per category.
- Meta Audience Network has the cheapest raw CPI — $1.11 blended, but D7 retention sits 6 percent below the cross-network average, so payback windows stretch longer.
- TikTok closed the retention gap — 2026 D7 index 108 vs Meta 94, driven by improved bidder optimization and higher-intent in-feed creative formats.
- AppLovin AXON 2.0 leads gaming Android — 12 percent of global app-install spend, with the strongest hyper-casual and mid-core CPI economics.
ARPU and In-App Monetization Benchmarks
ARPU determines the ceiling on what UA can profitably spend per install. The table below presents 12-month blended ARPU by category, separated by iOS and Android, with the implied LTV assuming the category-average D90 retention applies. Subscription apps lead by a wide margin, fintech and dating sit in the high-revenue tier, and ad-monetized casual gaming sits at the low end.
| Category | iOS ARPU | Android ARPU | iOS:Android | Primary Revenue Source |
|---|---|---|---|---|
| Dating | $11.84 | $6.21 | 1.9x | Subscription |
| Fintech | $9.74 | $4.86 | 2.0x | Subscription + transaction |
| Health & Fitness | $7.92 | $3.81 | 2.1x | Subscription |
| Streaming / Video | $7.41 | $4.12 | 1.8x | Subscription |
| Productivity | $6.84 | $3.62 | 1.9x | Subscription |
| Mid-Core Gaming | $5.84 | $3.21 | 1.8x | IAP + ads |
| Education | $4.92 | $2.71 | 1.8x | Subscription |
| News & Magazines | $4.21 | $2.18 | 1.9x | Subscription + ads |
| Music & Audio | $3.86 | $2.34 | 1.6x | Subscription |
| Shopping / eCommerce | $3.41 | $2.12 | 1.6x | Transaction |
| Casual Gaming | $2.41 | $1.62 | 1.5x | Ads + IAP |
| Travel | $2.18 | $1.42 | 1.5x | Transaction |
| Social | $1.84 | $1.18 | 1.6x | Ads |
| Photo & Video | $1.62 | $0.94 | 1.7x | Ads + subscription |
| Utilities | $1.21 | $0.71 | 1.7x | Subscription + ads |
| Hyper-Casual Gaming | $1.04 | $0.62 | 1.7x | Rewarded video |
| Cross-Category Average | $4.71 | $2.93 | 1.6x | Mixed |
| Sources: Sensor Tower Store Intelligence 2026; data.ai App IQ; Apptopia; blended 12-month ARPU across paying and non-paying users. iOS ARPU premium driven by higher purchasing power and 1.7x subscription conversion vs Android. | ||||
iOS-vs-Android ARPU Divergence Trajectory
The iOS-Android ARPU gap has narrowed slightly in 2026 to 1.6x blended, down from 1.74x in 2024, driven by Google Play's revised developer fee structure and improving Android subscription tooling. The gap remains widest in subscription-dominant categories (1.8x to 2.1x) and narrowest in transaction-driven and ad-monetized categories (1.5x to 1.7x). The 2026-to-2027 projection is for the gap to compress to roughly 1.5x blended as Android subscription billing UX continues to mature, but subscription-led iOS apps should expect to retain at least a 1.7x ARPU advantage through 2027.
LTV-to-CPI math: A subscription app with $7 blended iOS ARPU and a 13 percent D30 retention can typically support iOS CPI up to $9-$11 and still hit a 3:1 LTV-to-CPI ratio at 12 months. An ad-monetized casual game with $1.20 Android ARPU needs CPI under $0.50 to maintain the same ratio — a ~25x cost-tolerance gap that explains divergent channel strategies.
ASO Impact and Install-Conversion Data
App Store Optimization is a multiplier on every paid install dollar. The same paid traffic landing on a 90th-percentile listing converts 2.2x to 3.0x better than on a 50th-percentile listing, according to Storemaven and data.ai 2026 testing data. The table below quantifies the install-conversion lift from individual ASO elements, ranked by typical impact.
| ASO Element | Median CVR Lift | Top-Decile Lift | Test Cycle |
|---|---|---|---|
| In-app preview video (slot 1-2) | +22% | +41% | 21 days |
| Localized icon (per-market) | +14% | +28% | 14 days |
| Screenshot 1 hook reframe | +12% | +24% | 14 days |
| Localized subtitle / short desc | +11% | +19% | 14 days |
| Featured ratings prompt placement | +9% | +17% | 21 days |
| Title keyword optimization | +8% | +16% | 30 days |
| Screenshot story sequencing | +7% | +14% | 21 days |
| Long description first 3 lines | +5% | +11% | 21 days |
| Promotional text refresh (iOS) | +4% | +9% | 7 days |
| Category re-selection | +3% | +8% | 30 days |
| Sources: Storemaven 2026 ASO Index; data.ai App IQ; Apple App Analytics aggregate test data. Lift measured against listing baseline at 95% statistical significance. | |||
Search vs Browse vs Referral Install Mix
Install source breakdown across both stores in 2026: 41 percent from store search, 28 percent from referral (paid UA, web links, QR), 18 percent from browse and recommendations (Today tab, featured collections), 9 percent from app clip / instant experience, and 4 percent from direct URL or share. The store search share has held remarkably stable since 2022 despite paid UA growth, reflecting that organic search is the most resilient install channel when ASO is well-executed.
- Store-search install median CVR: 32 percent (iOS) / 26 percent (Android) — highest of any source.
- Referral install median CVR: 21 percent (iOS) / 17 percent (Android).
- Browse / Today tab feature lift: +340 percent install volume during feature week, decay to baseline +35 percent by week 4.
- ASO testing budget recommendation: 3 to 5 percent of total UA budget, increasing to 8 percent for apps with monthly UA spend above $500K.
The compounding effect: A 22 percent install-conversion lift from preview video pairs multiplicatively with a 14 percent localized-icon lift and an 11 percent subtitle lift. Stacked, that is roughly +54 percent CVR — which effectively reduces blended CPI by 35 percent at unchanged bid levels. ASO is among the highest-leverage line items in any UA budget. For a broader funnel benchmarking view, see our Google Ads benchmarks 2026 report.
ATT, IDFA Opt-In, and Probabilistic Attribution
App Tracking Transparency (ATT) opt-in plateaued at 27 percent globally in 2026 after a slow climb from 21 percent in 2022. The stall reflects user familiarity with the prompt, growing privacy sentiment in major markets, and improvements in the value propositions developers offer in the pre-prompt. Regional variation remains substantial.
| Region | 2022 Opt-In | 2024 Opt-In | 2026 Opt-In | YoY Change |
|---|---|---|---|---|
| Japan | 29% | 34% | 38% | +2% |
| United States | 23% | 28% | 31% | +1% |
| Brazil | 22% | 26% | 28% | +1% |
| Global Average | 21% | 25% | 27% | +1% |
| South Korea | 21% | 25% | 27% | +1% |
| United Kingdom | 20% | 24% | 26% | 0% |
| Germany | 18% | 22% | 24% | 0% |
| France | 17% | 21% | 23% | 0% |
| European Union (avg) | 18% | 21% | 22% | — |
| China (mainland) | — | — | — | — |
| Sources: Adjust ATT Tracker 2026; AppsFlyer Privacy Pulse; Branch State of App Marketing 2026. China iOS market is routed through CAID and is not directly comparable to ATT-only opt-in. | ||||
How the Industry Filled the Measurement Gap
The 73 percent of iOS users who decline ATT are not unmeasurable — they are measured differently. The 2026 attribution stack now relies on a layered approach: SKAdNetwork 5 postbacks for deterministic-anonymous conversion-value reporting, probabilistic modeling from Adjust, AppsFlyer, Singular, and Branch for the non-opted cohort, and incrementality testing for cross-checking channel-level lift.
- 35-day conversion postback window
- Coarse + fine conversion values supported
- ~100% deterministic at the campaign level
- Reporting delay 24-48 hours typical
- Variance vs deterministic: 12 to 18%
- Real-time install attribution
- User-level reporting (model-derived)
- Confidence intervals now standard in MMP UI
The original analysis layer here matters: the 12-to-18 percent probabilistic variance is asymmetric. Networks with stronger first-party signal (Apple Search Ads natively, Meta and TikTok via privacy-preserving on-platform conversions) sit at the low end of the variance band. Smaller DSPs and long-tail networks sit at the high end. Sophisticated UA teams now run sensitivity analysis on attribution variance before allocating budget across channels — treating attribution confidence itself as a cost input rather than a free given.
YoY Trends and 2026 to 2027 Projection
Looking across the 2024-2026 dataset, several trends are pointing in directions that will shape 2027 planning. CPI inflation is expected to continue but at a slower pace; retention spreads between subscription and ad-monetized apps are expected to widen further; AI-driven creative iteration cycles are projected to drop below 48 hours; and CTV-to-mobile cross-screen attribution is expected to absorb a meaningful share of net-new install spend.
| Metric | 2024 | 2025 | 2026 | 2027 (proj.) |
|---|---|---|---|---|
| Global app install spend | $74B | $81B | $94B | $108B |
| Avg iOS CPI | $4.21 | $4.91 | $5.84 | $6.62 |
| Avg Android CPI | $1.62 | $1.78 | $1.92 | $2.04 |
| iOS:Android CPI ratio | 2.6x | 2.8x | 3.0x | 3.2x |
| Cross-cat. D30 retention | 5.1% | 5.3% | 5.4% | 5.6% |
| Subscription D30 retention | 12.4% | 13.1% | 13.8% | 14.6% |
| ATT opt-in (global) | 24% | 26% | 27% | 28% |
| Median creative refresh | 14 days | 9 days | 3 days | <48 hrs |
| Variants per channel / mo | 20-40 | 40-70 | 80-120 | 150+ |
| Apple Search Ads CPI | $2.41 | $2.68 | $2.96 | $3.28 |
| Cross-cat. iOS ARPU | $3.94 | $4.32 | $4.71 | $5.12 |
| Cross-cat. Android ARPU | $2.31 | $2.62 | $2.93 | $3.24 |
| Sources: Sensor Tower; eMarketer; Adjust; AppsFlyer; Singular; data.ai. 2027 projections are Digital Applied estimates based on 2024-2026 trend extrapolation and publicly disclosed network roadmaps as of April 2026. | ||||
Original Analysis: AI-Driven Creative Cycles in 2027
The most consequential 2026-to-2027 shift will be in creative iteration speed. With network-side generative tooling integrated directly into ad managers, the median creative refresh cycle is on track to drop below 48 hours by Q4 2027. The implication for UA teams is that the differentiating skill will move from creative production to creative selection: the bottleneck stops being "can we make 100 variants" and starts being "can we tell which 5 of the 100 will scale to retention-positive volume." Teams that have invested in clean MMP-side cohort analysis and incrementality measurement will have a structural advantage; teams running install-rate-only optimization will be flying blind through a higher-volume version of the same auction.
Why the iOS-Android Gap Holds
The iOS-to-Android CPI ratio is projected to widen modestly from 3.0x to 3.2x by 2027 even as ARPU compresses to 1.5x blended. That apparent paradox resolves in two directions: subscription apps will continue to bid up scarce iOS supply as their ARPU advantage holds (1.7x or higher in the high-monetization tier), and ad-monetized apps will increasingly deprioritize iOS UA in favor of Android scale, leaving the iOS auction more concentrated among high-ARPU bidders. This is the same dynamic that compressed PC advertising auctions through the late-2010s mobile shift, replayed inside the iOS ecosystem.
What to monitor heading into 2027: Watch for Google Play subscription billing UX changes (could compress iOS-Android ARPU faster than projected), iOS 19 SKAdNetwork changes (currently expected to extend the postback window further), and any major shift in ATT prompt timing rules. For cross-channel context across digital advertising, see our programmatic advertising statistics 2026 report.
Conclusion: What These Numbers Mean for Your App
Mobile app marketing in 2026 rewards precision over volume. The apps that scale profitably are the ones that hold subscription- tier retention curves, run disciplined creative iteration with performance hold-out groups, treat ASO testing as a permanent line item rather than a launch task, and explicitly model attribution variance as a cost input. The apps that struggle are the ones still benchmarking against 2023 CPI numbers, treating ATT as a measurement crisis rather than a stable equilibrium, and assuming that AI-generated creative volume is a substitute for retention-tied selection.
The 2026 numbers also reinforce a long-running structural divergence: subscription apps and ad-monetized apps are no longer running the same playbook. The two segments bid in different auctions, optimize for different KPIs, and sit on different retention curves. Treating them as one market — as many older UA playbooks still do — produces strategy that fits neither. Subscription apps should accept high CPIs in exchange for retention and ARPU; ad-monetized apps should accept thin per-user margins in exchange for scale, and both should track their LTV-to-CPI ratio on the metrics that actually predict their next 12 months.
Cross-link to related benchmarking work: our programmatic advertising statistics 2026 report covers DSP-side benchmarks; our lead generation statistics 2026 report covers the broader marketing-funnel side; our affiliate marketing statistics 2026 report covers commission-based channels; and our Google Ads benchmarks 2026 report covers the largest ad platform on the web.
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Whether you are a subscription app fighting iOS CPI inflation or an ad-monetized app pushing for retention-tied scale, Digital Applied builds paid media programs around the benchmarks in this report.
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