How deferred deep linking can impact attribution accuracy (and best practices)
Mobile attribution has never been more challenging… or more critical. With iOS 17’s privacy changes and the gradual phase-out of traditional tracking methods, mobile marketers are struggling to connect their pre-install marketing efforts with post-install user behavior.
Enter deferred deep linking: a powerful technology that’s transforming attribution accuracy by bridging the gap between marketing touchpoints and app installations, delivering significant attribution improvements compared to traditional methods.
In this comprehensive guide, we’ll explore how deferred deep linking works, why it’s essential for accurate mobile attribution, and how you can implement it to dramatically improve your campaign measurement and ROI.
What Is Deferred Deep Linking and Why It Matters for Attribution
Deferred deep linking is a technology that enables apps to deliver personalized experiences to users even when the app isn’t installed on their device yet. Unlike traditional deep linking, which only works when an app is already installed, deferred deep linking can “remember” user intent and context through the installation process1.
Here’s how it works: when a user clicks on a marketing link but doesn’t have your app installed, deferred deep linking captures their intent and context. After they download and open the app for the first time, the technology delivers them to the exact content or experience they were originally seeking — whether that’s a specific product page, promotional offer, or personalized onboarding flow.
Why This Matters for Attribution:
Traditional attribution methods often lose the connection between marketing touchpoints and user actions. When someone clicks an ad, visits the app store, downloads an app, and opens it hours or days later, that crucial link between the original marketing touchpoint and the installation gets lost. This creates what industry experts call the “attribution dark period” — a gap where marketers can’t accurately measure which campaigns are driving real value.
According to recent industry benchmarks, mobile apps using deferred deep linking see much higher attribution accuracy rates compared to apps relying solely on traditional attribution methods2. This improvement in accuracy translates directly to better budget allocation, more effective campaign optimization, and significantly higher ROI.
The Attribution Challenge: Connecting Pre-Install and Post-Install Data
The mobile attribution landscape has become increasingly complex, particularly with Apple’s iOS privacy changes and the gradual deprecation of device identifiers. The core challenge lies in connecting three critical moments: the initial marketing touchpoint, the app store conversion, and the first app open.
Consider this common user journey:
Monday morning: User sees a Facebook ad for a shopping app
Monday afternoon: Clicks the ad, visits the App Store, but doesn’t install immediately
Tuesday evening: Remembers the app, searches for it in the App Store, and installs it
Wednesday morning: Opens the app for the first time
In this scenario, traditional attribution methods would likely credit the App Store search (Tuesday) or even mark it as an organic install, completely missing the original Facebook ad that initiated the user’s journey. This misattribution leads to undervaluing paid channels and over-crediting organic traffic.
The Attribution Dark Period Impact:
Research shows that the average time between initial marketing exposure and app installation can range from several hours to multiple days. During this period, traditional attribution methods lose track of user intent, resulting in:
30–50% of paid installs being misattributed as organic
Significant budget misallocation toward underperforming channels
Inability to optimize campaigns based on actual user behavior
Poor user experience due to generic onboarding instead of personalized flows
Without proper deferred deep linking, companies lose significant attribution data of their paid user acquisitions. This data loss doesn’t just impact reporting — it fundamentally undermines campaign optimization and budget allocation decisions.
How Deferred Deep Links Bridge the Attribution Gap
Deferred deep linking solves the attribution challenge through a sophisticated combination of probabilistic matching, device fingerprinting, and contextual data preservation. Here’s the technical breakdown of how it works:
The Deferred Deep Linking Workflow:
Initial Touchpoint Capture: When a user clicks a marketing link, the system captures device fingerprint data, including IP address, user agent, device characteristics, and timestamp information.
Intent Preservation: The system stores the user’s intended destination (specific product, offer, or content) along with campaign attribution data in a secure, privacy-compliant manner.
Installation Bridge: When the user installs the app, the system uses probabilistic matching to connect the new app installation with the previously captured touchpoint data.
First Open Attribution: On first app open, the system matches the device fingerprint with stored attribution data and delivers the user to their originally intended destination.
This process happens seamlessly in the background, typically within 2–3 seconds of the first app open. The technology works across both iOS and Android platforms, though implementation details vary based on each platform’s privacy requirements4.
Privacy-Compliant Attribution Methods:
Modern deferred deep linking solutions have adapted to work within strict privacy frameworks:
iOS 17+ Compatibility: Uses Apple’s SKAdNetwork alongside probabilistic matching for comprehensive attribution coverage
Consent-Based Tracking: Respects user privacy preferences while maintaining attribution accuracy
First-Party Data Focus: Prioritizes owned data and consented tracking over third-party identifiers5
The result is an attribution system that maintains high accuracy while respecting user privacy — a crucial balance in today’s regulatory environment.
Measuring Attribution Accuracy: Key Metrics and Benchmarks
Understanding and measuring attribution accuracy is essential for evaluating the impact of deferred deep linking on your mobile marketing performance. Attribution accuracy refers to the percentage of app installation that can be correctly attributed to their originating marketing touchpoint.
Key Attribution Accuracy Metrics:
Attribution Match Rate: Percentage of installs successfully matched to marketing touchpoints
Time-to-Attribution: Average time between marketing exposure and attributed install
Cross-Platform Accuracy: Attribution success rates across iOS and Android
Campaign-Level Accuracy: Attribution rates by individual marketing campaigns
Industry Benchmarks by Attribution Method:
Traditional Attribution Only: 60–65% accuracy rate
Probabilistic Matching: 75–80% accuracy rate
Deferred Deep Linking: 85–92% accuracy rate
Combined Approach: 93–96% accuracy rate
A Case Study:
A leading e-commerce app implemented comprehensive deep linking best practices and saw remarkable improvements in their attribution accuracy. Before implementation, they were attributing only 62% of their paid installs correctly. After deploying deferred deep linking:
Attribution accuracy increased to 89% — a 43% improvement
Cost per attributed install decreased by 28% due to better campaign optimization
User engagement improved by 34% thanks to personalized first-time experiences
Return on ad spend (ROAS) increased by 52% within the first quarter
Another case study from a mobile gaming company showed similar results. By implementing deferred deep linking alongside their existing mobile measurement platform (MMP), they improved their install attribution accuracy from 58% to 91%, enabling them to reallocate $200,000 in monthly ad spend from underperforming to high-value channels.
Implementation Best Practices for Maximum Attribution Impact
Successfully implementing deferred deep linking requires careful attention to both technical setup and strategic campaign design. Here are the essential best practices for maximizing attribution accuracy and user experience:
Technical Implementation Requirements:
SDK Integration: Properly integrate your chosen deferred deep linking SDK, ensuring it’s initialized before any attribution calls7
URL Structure: Create consistent, descriptive deep link URLs that capture campaign parameters and user intent
Fallback Handling: Implement robust fallback mechanisms for cases where deferred deep linking fails
Testing Framework: Establish comprehensive testing procedures across devices, platforms, and user scenarios
Campaign Optimization Strategies:
Personalized Landing Pages: Create specific app store listings and in-app destinations for different campaign segments
Context Preservation: Ensure that promotional offers, product interests, and user preferences carry through the installation process
A/B Testing: Continuously test different deep linking strategies and measure their impact on attribution accuracy
MMP Integration Considerations:
When integrating deferred deep linking with your mobile measurement platform, ensure seamless data flow between systems. Many MMPs now offer native support for deferred deep linking, but custom implementations may require additional configuration to prevent attribution conflicts or data discrepancies.
Performance Monitoring:
Establish regular monitoring of key performance indicators:
Monitor attribution match rates weekly
Track user experience metrics post-installation
Analyze campaign performance improvements over time
Review technical performance and error rates
Most successful implementations see attribution accuracy improvements within 2–4 weeks of proper deployment, with full optimization typically achieved within 8–12 weeks.
Privacy-First Attribution: Balancing Accuracy with User Privacy
The mobile attribution landscape has fundamentally shifted toward privacy-first approaches, making it essential to balance attribution accuracy with user privacy protection. Modern deferred deep linking solutions are designed to work within these new privacy constraints while maintaining high attribution performance.
iOS 17 Privacy Impact:
Apple’s continued privacy enhancements have significantly impacted traditional attribution methods:
Limited identifier availability reduces cross-app tracking capabilities
App Tracking Transparency (ATT) requires explicit user consent for tracking
SKAdNetwork limitations provide aggregated rather than user-level attribution data
However, deferred deep linking solutions have adapted by focusing on privacy-compliant attribution methods:
First-Party Data Strategies:
Owned Channel Integration: Leveraging email, SMS, and owned media for attribution
Consented User Tracking: Respecting user privacy choices while maintaining measurement capabilities
Contextual Attribution: Using campaign context and timing rather than persistent identifiers8
Future-Proofing Your Attribution:
The most successful mobile marketers are adopting attribution strategies that don’t rely heavily on third-party tracking:
Diversified Attribution Approach: Combining multiple attribution methods for comprehensive coverage
Enhanced First-Party Data Collection: Building robust owned data assets
Privacy-By-Design Implementation: Ensuring all attribution tools respect user privacy from the ground up
This approach not only ensures compliance with current privacy regulations but also prepares your attribution infrastructure for future privacy changes across all platforms.
Transform Your Mobile Attribution with Deferred Deep Linking
Deferred deep linking represents a paradigm shift in mobile attribution accuracy, offering marketers a powerful solution to the growing challenges of privacy-first measurement. By bridging the attribution gap between marketing touchpoints and app installations, this technology delivers measurable improvements in campaign measurement, user experience, and ROI.
The key benefits are clear:
Improvement in attribution accuracy compared to traditional methods
Significant reduction in misattributed organic installs
Enhanced user experience through personalized onboarding
Privacy-compliant measurement that works within current regulatory frameworks
As the mobile marketing landscape continues to evolve, implementing robust deferred deep linking capabilities isn’t just an optimization — it’s becoming essential for competitive attribution measurement.
Ready to improve your mobile attribution accuracy? Linkrunner’s advanced deferred deep linking solution helps mobile marketers achieve industry-leading attribution accuracy while maintaining full privacy compliance. Our platform seamlessly integrates with your existing tech stack and provides detailed attribution insights you need to optimize your campaigns effectively.
Schedule a demo today to see how deferred deep linking can transform your mobile attribution strategy and boost your campaign ROI.
Footnotes
AppsFlyer. “Deferred Deep Linking.” https://www.appsflyer.com/glossary/deferred-deep-linking/ ↩
Helpshift. “A Comprehensive Guide to Deep Linking.” https://www.helpshift.com/blog/a-comprehensive-guide-to-deep-linking-making-it-work-for-your-mobile-app/ ↩
TrustRadius. “Mobile Attribution Platform Comparison Report.” https://media.trustradius.com/product-downloadables/3Q/RN/A91NAQVJE6TU.pdf ↩
Stack Overflow. “How to Achieve Deferred Deep Linking in iOS.” https://stackoverflow.com/questions/46931515/how-to-achieve-deferred-deep-linking-in-ios ↩
Stacktonic. “First-Party Mobile App Measurement and Install Tracking.” https://stacktonic.com/article/first-party-mobile-app-measurement-and-install-tracking ↩
OneSignal. “Deep Linking Best Practices.” https://onesignal.com/blog/deep-linking-best-practices/ ↩
Stack Overflow. “How to Achieve Deferred Deep Linking in iOS.” https://stackoverflow.com/questions/46931515/how-to-achieve-deferred-deep-linking-in-ios ↩
Stacktonic. “First-Party Mobile App Measurement and Install Tracking.” https://stacktonic.com/article/first-party-mobile-app-measurement-and-install-tracking ↩
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Why Every Mobile App Business Needs an MMP Platform in 2025
In 2025, the mobile app ecosystem is more crowded, competitive, and data-driven than ever before. With millions of apps competing for user attention and marketing costs steadily rising, understanding where your users come from and what drives them to engage has become a critical business function.
Gone are the days when simply tracking installs was enough. To grow sustainably and optimize marketing performance, app businesses now need precision tools that go beyond vanity metrics. This is where a Mobile Measurement Partner (MMP) platform like Linkrunner.io becomes not just helpful, but essential.
The Attribution Puzzle
The path a user takes before installing your app is often long and fragmented. One moment, they’re watching an Instagram Reel. Later, they’re Googling your brand. They might even hear about you in a WhatsApp group before finally downloading your app via a YouTube ad days later.
Without attribution technology, you have no way to connect the dots between these touchpoints. You don’t know what campaign influenced the install. You can’t measure which creative performed best. You’re spending money, but you’re blind to its effectiveness.
That’s where the power of an MMP comes in.
What Is an MMP Platform?
A Mobile Measurement Partner (MMP) platform is a specialized analytics and attribution tool designed to track where app installs and in-app actions come from. It connects user activity back to your advertising sources (Facebook Ads, Google Ads, influencer links, and more) giving you a complete view of how marketing impacts real user behavior.
Platforms like Linkrunner.io provide a single, unified dashboard that aggregates, de-duplicates, and attributes all your marketing data in one place, saving you from manually reconciling metrics across fragmented platforms.
Six Reasons Why Every App Needs an MMP
1. Accurate Multi-Touch Attribution
Users don’t just click and install. They interact with your brand across multiple campaigns and channels. A good MMP can attribute credit to each of these touchpoints (whether it’s a last-click install or a multi-touch conversion journey) so you can understand the true cost and impact of your campaigns.
Without this accuracy, you risk pouring money into ineffective ads while underfunding high-performing ones.
2. Fraud Protection That Saves Real Money
Mobile ad fraud is a multibillion-dollar problem. Bots, spoofed installs, and click farms can quietly steal your ad dollars in the background. MMPs like Linkrunner use real-time fraud detection algorithms to flag and block suspicious activity, so you only pay for genuine users.
This alone can improve your ROI and give you more confidence in your ad spend.
3. Unified Data, Clear Insights
Most marketing teams juggle multiple dashboards: Meta Ads Manager, Google Ads, Firebase, and more. Each tells part of the story, but none give the full picture.
An MMP consolidates data from all platforms, aligning your metrics with user behavior inside the app. Instead of switching between tabs, you get a single source of truth that makes analysis faster and decision-making smarter.
4. Privacy-First by Design
Between GDPR, CCPA, and Apple’s App Tracking Transparency (ATT), mobile privacy has become a moving target. MMPs are built to help you stay compliant, by using probabilistic attribution when needed, honoring consent, and keeping you on the right side of platform policies.
Linkrunner.io adapts to privacy changes faster than in-house solutions, shielding your marketing efforts from policy disruptions.
5. ROI-Driven Campaign Optimization
Measuring installs is just the beginning. You need to know which campaigns lead to retention, engagement, and revenue.
An MMP enables this by connecting downstream events (like purchases, subscriptions, and user activity) to the original source. With this clarity, you can double down on high-performing channels and eliminate waste, turning guesswork into strategic optimization.
6. Automation That Scales With You
As your app grows, managing attribution manually becomes impossible. MMPs automate data collection, campaign tagging, and optimization, allowing your team to scale user acquisition without scaling complexity.
With tools like Linkrunner’s automated insights and AI-powered reporting, your team can focus on strategy and growth, not just data wrangling.
The Cost of Flying Blind
Choosing not to implement an MMP might seem like a way to save money, but the hidden costs quickly pile up:
Wasted Ad Spend: You may be spending up to 30% of your marketing budget on low-ROI sources and not even realize it.
Missed Growth Opportunities: Without performance visibility, you can’t double down on what works.
Falling Behind Competitors: In a market where data-driven decisions win, not having attribution insights puts you at a disadvantage.
In today’s mobile landscape, not using an MMP isn’t neutral, it’s risky.
What to Look for in a Modern MMP
If you’re considering integrating an MMP, here are the key factors to evaluate:
Cost Transparency: Traditional MMPs can be expensive, especially at scale. Linkrunner.io offers pricing up to 7x cheaper than legacy player (without sacrificing features).
Ease of Integration: Look for SDKs that are lightweight, well-documented, and easy to implement across iOS, Android, and web.
Analytics Depth: Choose a platform that goes beyond attribution. Linkrunner offers AI-driven insights to uncover trends, anomalies, and optimization opportunities automatically.
Support and SLAs: Attribution issues can happen, what matters is how fast your provider helps resolve them. Linkrunner’s support team is known for fast turnaround and proactive issue resolution.
Dashboard Usability: A powerful tool isn’t useful if your team can’t understand it. Intuitive dashboards drive adoption and make daily reporting painless.
Final Thoughts
In 2025, the question isn’t whether you should have an MMP. It’s which one will empower you to scale smarter, grow faster, and spend wiser.
As privacy rules tighten and user journeys grow more complex, platforms like Linkrunner.io offer a critical edge. By centralizing marketing data, defending against fraud, and illuminating the path from install to conversion, an MMP becomes the foundation of your mobile marketing strategy.
Make the switch now, and let your data start working for you.
The Critical Importance of Reliable Deferred Deep Linking for Modern Mobile Apps
In today’s competitive mobile landscape, providing a seamless user experience isn’t just a nice-to-have — it’s essential for app growth and retention. One key technology that significantly impacts this experience is deferred deep linking.
While many app marketers are familiar with basic deep linking, the reliability of deferred deep linking can make or break a user’s first impression and ultimately affect conversion rates.
What Is Deferred Deep Linking?
Before diving into why reliability matters, let’s clarify what deferred deep linking actually is: Basic deep linking takes users directly to specific in-app content (rather than just opening the app’s home page) when they click a link — but only works if the app is already installed. Deferred deep linking extends this functionality by “remembering” the user’s intended destination even when they need to install the app first. After installation, the user is seamlessly directed to the specific content they were originally trying to access.
This seemingly simple technology is actually quite complex to implement correctly — and that’s where reliability becomes crucial.
Why Reliability Matters in Deferred Deep Linking
First Impressions Shape User Retention
Research shows that 25% of users abandon apps after just one use. When a new user clicks on a promotional link promising specific content (like a special offer, product, or feature) but ends up on a generic welcome screen instead, you’ve already failed your first impression test. Reliable deferred deep linking ensures the promised content is delivered, creating a positive first interaction.Conversion Rate Optimization
Marketing campaigns that utilize deferred deep linking correctly have shown conversion improvements of up to 2.5x compared to campaigns that don’t preserve context during the installation process. Each failed deep link represents a potential customer lost in the conversion funnel.Maintaining Marketing Attribution Data
Beyond just the user experience, unreliable deferred deep linking can break your attribution chain. Without proper implementation, you lose visibility into which campaigns are driving not just installations but actual in-app conversions and engagement — making ROI calculations nearly impossible.Complex Technical Challenges
Several factors can cause deferred deep linking to fail:
OS-specific limitations (iOS and Android handle deep linking differently)
Edge cases with various device manufacturers
Browser inconsistencies
Timing issues during app installation
Reliable solutions must account for all these variables.
The Hidden Costs of Unreliable Deep Linking
When deferred deep linking fails, it triggers a cascade of negative outcomes:
Wasted Ad Spend: You pay for clicks and installations, but lose the conversion because users can’t find what was advertised
Increased Support Costs: Confused users contact customer service when they can’t find promised content
Damaged Brand Perception: Users blame your app, not the linking technology
Skewed Analytics: Attribution data becomes unreliable, leading to poor marketing decisions
How to Ensure Reliable Deferred Deep Linking
Implementing reliable deferred deep linking requires:
Robust Technology: Choose an MMP with proven reliability in deferred deep linking across all device types, browsers, and edge cases
Thorough Testing: Test your deep links across multiple scenarios, devices, and user journeys
Fallback Strategies: Implement graceful fallbacks when deep linking fails for any reason
Monitoring: Track success rates and quickly identify any issues with specific campaigns or link types
Conclusion
In the mobile app ecosystem, the details matter. Reliable deferred deep linking might seem like a small technical consideration, but it significantly impacts user experience, conversion rates, and ultimately your bottom line. As you evaluate mobile measurement partners, prioritize those that can demonstrate consistently reliable deferred deep linking capabilities across all platforms and user scenarios.
By ensuring your users always arrive at their intended destination — even after installing your app — you’re not just improving a technical metric; you’re building trust from the very first interaction.
The True Cost of Mobile Attribution: Why Affordable Solutions Like Linkrunner.io Are Changing the Game
In 2025, mobile attribution has become a foundational part of any app marketer’s tech stack. It’s no longer just a tool for advanced teams. It’s a baseline requirement for anyone spending money on user acquisition. Yet, while the value of attribution is clear, the cost associated with traditional Mobile Measurement Partner (MMP) platforms is often not.
Many developers and marketing teams (especially those at growing or mid-market app companies) have silently accepted high attribution bills as a “cost of doing business.” But what if it didn’t have to be?
The Real Price of Legacy Attribution Tools
Legacy MMPs like AppsFlyer, Branch, and Adjust offer sophisticated tracking features, but they come with a heavy price tag. Most app marketers initially focus on pricing per install or event, but the true cost goes far beyond that.
1. Volume-Based Pricing That Penalizes Growth
Almost every legacy MMP charges based on the number of attributed installs or tracked events. At first, this might feel like a fair tradeoff: pay as you scale. But in practice, this model punishes success. As your acquisition efforts become more effective, a larger portion of your budget gets diverted into attribution costs.
For example, if you’re driving 100,000 installs per month, you might end up paying $3,000 to $5,000 monthly, which often equals 5–10% of your entire marketing budget. That’s money you’re not putting into ads, creative, or optimization.
2. Hidden Feature Paywalls
It gets worse when you realize that the base pricing tiers don’t even unlock the full platform. Many essential features (like fraud detection, cohort analysis, API access, and long-term data retention) come with additional fees:
Advanced fraud protection? +20%
API and raw data access? Separate tier
More than 6 months of data retention? Pay extra
When you add these up, your $3,000/month bill can easily double.
3. High Engineering and Integration Overheads
The technical complexity of legacy MMPs often requires dedicated engineering time to implement and maintain:
Initial SDK integration
Event parameter mapping
Campaign tagging setup
Data reconciliation between platforms
It’s not uncommon for dev teams to spend dozens of hours every month just maintaining the MMP setup, an expensive drain on internal resources.
4. Tiered Support That Slows You Down
Lastly, most older MMPs offer tiered support based on how much you pay. If you’re not in the top pricing tier, expect delayed replies, limited access to specialists, and longer resolution times.
This can be a nightmare if attribution breaks during a critical campaign window, like a holiday sale or product launch.
Why This Matters: The Real ROI Impact
These costs aren’t just a line item. They have ripple effects on your entire growth strategy.
Imagine this scenario:
You spend $50,000 on a campaign
Your MMP takes an 8% cut ($4,000)
Your target CPI is $2.00
That $4,000 hit means 2,000 fewer users acquired. This results in a higher effective CPI, a lower ROAS, and reduced momentum in user acquisition.
In other words, the more you rely on attribution, the more expensive your growth becomes (unless you’re using the right tool).
Linkrunner.io Enters the Scene: A Better Way Forward
Enter Linkrunner.io, a modern MMP built for cost-conscious, growth-focused app teams. With flat, transparent pricing and enterprise-grade features included out of the box, Linkrunner is making powerful attribution accessible to everyone (from indie developers to Series B startups and beyond).
Here’s how it works differently.
Flat-Rate Pricing That Scales With You
No more paying more just because you’re successful. Linkrunner’s pricing is fixed and predictable, with no install- or event-based penalties. This unlocks scalability for marketing teams, allowing them to run high-volume campaigns without spiraling measurement fees.
Compared to legacy MMPs, customers report paying up to 7x less. That means more capital for acquisition, experimentation, or product.
Everything Included (No Surprise Costs!)
Every Linkrunner plan comes fully loaded:
Advanced fraud detection
Unlimited historical data retention
Seamless attribution across Android, iOS, web, and OEM channels
Real-time API access for custom dashboards and modeling
AI-powered analytics to surface optimization opportunities
It’s attribution the way it should be: powerful, complete, and unlocked from day one.
Developer-Friendly by Design
Most attribution platforms are built for analysts first and developers last. Linkrunner reverses that. With clean, auto-generating SDKs, no-nonsense docs, and built-in campaign tagging, integration takes a fraction of the time compared to older tools.
Support for CI/CD pipelines, QA modes, and live-testing environments makes it ideal for fast-moving growth teams.
Real Support for All Customers
Unlike platforms that reserve responsive help for their largest customers, Linkrunner offers:
24/7 support availability
Attribution specialists, not generic agents
Personalized onboarding sessions
Ongoing optimization and training
Whether you’re running your first attribution test or scaling multi-country campaigns, you’re never alone.
Why This Matters Strategically
Affordable attribution isn’t just a “nice to have.” It reshapes what’s possible for app marketing.
Experiment More, Risk Less
Freed from volume penalties, your team can test TikTok, influencer campaigns, push notification strategies, or programmatic networks without worrying about budget bloat from tracking costs.
Democratized Access to Data
When attribution isn’t metered, your product managers, designers, and growth analysts can explore metrics and behavior freely, leading to more informed product decisions and faster iteration loops.
Support Long-Term Planning
Cohort tracking over 30, 60, 90, and even 180 days becomes feasible without extra fees, allowing real LTV modeling, retention forecasting, and revenue planning.
Full-Funnel Visibility, Not Just Top-of-Funnel
From ad click to install to revenue, Linkrunner tracks it all across every channel, every region, and every user segment, without breaking your budget.
The Business Case: Real-World Math
Let’s say your app spends $100,000 per month on user acquisition:
Legacy MMP (7%): $7,000/month → $84,000/year
Linkrunner.io (1%): $1,000/month → $12,000/year
Annual savings: $72,000
With that savings, you could fund:
An entire new growth hire
Another 28,800 users (at $2.50 CPI)
6 months of influencer campaigns
A stronger runway or improved burn rate
In every scenario, the ROI upside of switching is undeniable.
The Attribution Revolution Is Now
Measurement isn’t going anywhere. If anything, it’s becoming more important as privacy frameworks tighten and marketing budgets face more scrutiny.
But that doesn’t mean attribution needs to be expensive, gated, or reserved for enterprises. With Linkrunner.io, attribution becomes a growth enabler, not a hidden tax.
Whether you’re just launching or scaling into new geographies, choosing the right MMP can add velocity to your entire business.
The question isn’t whether you can afford attribution.
It’s whether you can afford to keep overpaying for it.
