How to Track Deep Link Performance in 2026: Metrics, Tools, and Attribution

Deep link performance tracking connects clicks to installs and conversions. This guide covers which metrics to watch, how attribution works, and how to fix underperforming links.

Narendra Thadani

• 7 min read
How to Track Deep Link Performance in 2026: Metrics, Tools, and Attribution
Chottulink: Track Deep link Performance.

You have deep links running. Users are clicking. But which links are driving installs, and which installs are turning into paying customers?

Deep link tracking connects a click event to downstream actions: the app install, the first signup, and ultimately a conversion or purchase. The five metrics that matter most are click-through rate, click-to-install rate, activation rate, in-app conversion rate, and install attribution by source.

Most teams start by checking clicks and stop there. Clicks are the easiest metric to gather, but they tell you almost nothing about campaign quality. A campaign with 10,000 clicks and 2 activations is worse than one with 500 clicks and 200 activations. Clicks look good in a report. Activations tell you what worked.

This guide covers what to measure, how attribution works technically, and how to find the specific links that need fixing.

Not every metric tells you something actionable. These five do.

Click-through rate (CTR) measures how often users tap your deep links relative to impressions. A low CTR on a push notification usually points to a messaging or timing problem. A low CTR on a referral link often means the link does not surface prominently in the sharing flow. CTR tells you whether the link is visible and compelling, but nothing about what happens after the tap.

Click-to-install rate measures how many clicks turn into confirmed app installs. When this number drops, the problem is usually the App Store listing, not the deep link itself. Users are tapping with intent, reaching the store, and not completing the download.

Activation rate is the metric most teams underweight. It measures how many new installs complete a meaningful first action: signup, profile completion, or first purchase. Users who arrive through a deep link carrying contextual data, such as a referral code or specific product screen, activate at consistently higher rates than organic installs because they already know what they came for.

In-app conversion rate tracks how often deep-linked users complete a revenue event: a purchase, subscription, or paid upgrade. This is the number that connects your linking strategy to actual revenue.

Install attribution answers the question: which specific link or campaign drove this install? Without attribution, you can see that installs happened, but not where they came from. Attribution is what turns install data into campaign data.

Deep link tracking requires three components working together: a short link with embedded UTM parameters, a mobile SDK initialized on app open, and a server-side attribution layer that matches install events back to clicks.

When a user taps a ChottuLink deep link, the platform records a click event with the link ID, device fingerprint (device type, browser, operating system, and IP region), and any UTM parameters attached. When the user installs the app and opens it for the first time, the SDK's init() call triggers an attribution check. ChottuLink compares that device fingerprint against stored click records and ties the install to the matching link.

This runs automatically. The same init() call that enables deferred deep linking also handles attribution. No separate MMP setup needed for owned-channel tracking.

To track post-install events, send conversion data back using the conversion API

ChottuLink links that conversion to the original install. Per-link revenue then appears in the dashboard.

ChottuLink records every link across six dimensions:

  • Total clicks in 7-day, 30-day, and all-time windows
  • Device type: mobile, tablet, desktop
  • Operating system: iOS, Android, Windows, macOS
  • Browser, including in-app browsers from Instagram, WhatsApp, and Telegram
  • Geography: country and region
  • Referrer and UTM parameters: source, medium, campaign, term, content

The funnel view shows the conversion sequence for each link: clicks, attributed installs, signups, and conversion events. A healthy campaign shows a gradual drop-off at each stage. A sudden gap between two stages points to a specific problem at that step.

Low click-to-install usually means the App Store listing needs work, not the link itself. Low install-to-activation means onboarding is losing people before they see any value. Low activation-to-conversion is a product or pricing problem -- no amount of link tuning will fix it.

Attribution answers the question most analytics setups ignore: which link made you money?

Firebase Dynamic Links, before its shutdown in August 2025, provided basic click and install data but required a BigQuery export to do any funnel analysis beyond open counts. For most teams, that meant no link-level revenue data in practice.

ChottuLink tracks the full funnel from click through conversion in the standard dashboard without any additional infrastructure. The per-link funnel view at shows how a specific referral link, QR code, or campaign link performed from first tap to revenue event.

The organic vs. attributed breakdown also matters. Your organic install baseline shows what the product generates on its own. When a campaign's attributed installs activate and convert well below that baseline, the campaign is pulling in lower-intent users. Better to know that before scaling spend.

LastBench, an Job Interview prep app, used this breakdown to reassess their Instagram spend. They could see clicks coming in from Instagram campaigns but had no way to know whether those users were actually installing and completing onboarding. After adding ChottuLink install tracking, they found that one Instagram creative drove strong click volume but poor activation – the landing screen did not match the ad's promise. They paused that creative, reallocated budget toward the campaigns where attributed installs were activating at rates above their organic baseline, and cut their cost-per-activation significantly without increasing total spend.

The most useful diagnostic pattern is comparing CTR against activation rate across your link library.

High CTR with low activation usually means users are arriving at the wrong screen, or the link destination does not match the intent behind the click. A QR code on a fitness product that sends users to a generic homepage instead of the specific product screen will show this pattern. The fix is almost always adjusting the destination URL, not the link mechanics.

Low CTR with high activation means your best-performing links are not getting enough exposure. These links have already demonstrated they work. The question is why they are not seen more often.

Links with no clicks in 30 days that are still live in active campaigns quietly drain budget. The analytics endpoint returns conversion event data sortable by link, so you can quickly spot which links have driven zero revenue in a given window.

A/B testing deep links means running two or more variants with different destination screens, contextual parameters, or UTM tags and comparing activation rate and conversion rate across them.

The setup is simple. Create two ChottuLink short links pointing to different destination screens, each with a distinct UTM campaign value. Use one link per campaign version and split your traffic between them. After seven to fourteen days, filter the dashboard by campaign value and compare.

Do not use CTR as the decision metric. A link with 30 percent lower CTR that produces twice the conversions is clearly the better link. Use activation rate or conversion rate depending on your goal, and wait until you have at least 200 activations per variant before calling it. Daily traffic variation can look like a signal when the sample is small.

Contextual deep links are worth testing the same way. For influencer campaigns, give each creator a unique link with different referral context attached, then compare which creator's audience activated and purchased at higher rates, not just who drove the most clicks.

Firebase Dynamic Links shut down on August 25, 2025. As of 2026, new Firebase dynamic links cannot be created and existing page.link short URLs no longer redirect. Any app that relied on Firebase for deferred deep linking or install attribution needs a replacement.

ChottuLink is a drop-in replacement with feature parity across deferred deep linking, custom branded domains, QR codes, and analytics. It adds install attribution and revenue tracking that Firebase never provided. Migration covers the SDK swap, domain verification, and link redirect configuration. See the Firebase migration guide for platform-specific steps.

Frequently Asked Questions

What is the difference between a click and an attributed install?

A click is recorded when a user taps a deep link. An attributed install is recorded when that user installs the app and the installation is matched back to the specific click. Not every click results in an install. Attribution is what tells you which clicks did, so you can measure campaign efficiency rather than just exposure.

Not for owned and earned channels. MMPs like AppsFlyer and Branch add value for tracking across paid ad networks where you need multi-touch attribution and direct integrations with ad platforms. For deep links in email, SMS, QR codes, referral programs, and organic social, deep-link-native attribution covers the same questions at significantly lower cost.

How does deferred deep linking affect attribution accuracy?

Deferred deep linking introduces a gap between the click and the install because the user passes through the App Store or Play Store before opening the app. ChottuLink bridges this gap using server-side device fingerprinting. The platform reports both attributed and unattributed installs separately so you can see where matching succeeded and assess your organic baseline.

Activation rate and conversion rate matter more than CTR for referral programs. CTR tells you how many referred users tapped the link. Activation rate tells you how many of those users completed a meaningful first action after installing. Comparing activation rate across referrers also shows which users in your existing base are sending high-quality traffic versus vanity clicks.

Create two ChottuLink short links pointing to different destination screens and attach distinct UTM campaign values to each. Split traffic by using each link in separate campaign versions. After 7-14 days with at least 200 activations per variant, compare activation rate and conversion rate in the dashboard filtered by campaign value. Use activation or conversion rate as the decision metric, not CTR.