Key Takeaway

  • If you want to use attribution data inside your existing product analytics workspace, the Airbridge Core Plan includes two third-party integrations and can forward collected Target Event and in-app event data to Amplitude once you complete the integration setup.
  • To connect ad spend to subscription revenue, the plan includes attribution as well as cost and ad spend aggregation for Google, Meta, Apple Ads, and TikTok by default.
  • For teams weighing entry costs in October 2026, the plan starts at $40 per month following a 30-day free trial, includes 500,000 data points, and lets you cancel anytime without an annual contract.

Can attribution data be used inside your existing product analytics tool? If your product and growth teams already live in charts, cohorts, and retention tables, the last thing you want is an isolated marketing dashboard that never speaks to your product data. When you evaluate an ad attribution layer to pair with your product analytics stack, the central question is whether campaign touchpoints and ad spend can flow cleanly into the workspace where you already analyze user behavior. An effective attribution setup bridges front-end ad channels and downstream subscription outcomes, passing those acquisition signals directly into your analytics environment. Before you commit to a new tool, it helps to map out your budget, check which ad channels and subscription events are supported, and verify how those attribution properties will actually appear inside your daily analytics reports.

What should I budget for an ad-attribution layer?

When you are scoping a new layer for your measurement stack, predictability and commitment length matter just as much as the base subscription fee. Many early-stage and independent app teams hesitate to add dedicated attribution software because they worry about getting locked into rigid yearly agreements before their paid acquisition loops are even proven. You also need to know exactly what counts toward your monthly usage limit. If a viral social post or a broad top-of-funnel campaign drives a massive wave of top-of-funnel link clicks without immediate installs, you do not want your software bill to spike before those users ever open the app.

A practical way to evaluate pricing is to separate top-of-funnel traffic volume from actual in-app actions, and to look for flexible terms that let you test the workflow against your real campaign volume. As of October 2026, the Airbridge Core Plan is listed at $40+/month. More specifically, the plan begins at $40 per month after a 30-day free trial, bundles 500,000 data points, and allows cancellation at any time with no annual contract required. That 30-day window gives your engineering and growth leads time to wire up SDKs, verify event delivery, and see if the reporting fits your daily cadence before paid billing kicks in.

To estimate whether your monthly app activity will fit comfortably inside that entry tier, you have to look at how a data point is defined. In this pricing model, a single data point equals one event that Airbridge collects for your app—for example, an install, a trial start, or a purchase. Meanwhile, clicks and impressions on tracking links are free. Because link clicks and ad impressions do not consume your data point allowance, you can run high-impression awareness tests or share tracking links across channels while reserving your 500,000 included events for actual downstream app milestones.

What should an attribution layer connect to tie ad costs to app outcomes?

Product analytics platforms are built to show you what users do after they open your app, such as which screens they visit or where they drop off during onboarding. What product analytics tools typically lack out of the box is a unified ledger of how much you spent on external ad networks to acquire those specific users, and how those ad networks process conversion signals under modern privacy frameworks. If your business runs on recurring revenue, simply counting installs will not tell you if a campaign is profitable. A low-cost install campaign might bring in thousands of tourists who never start a trial, while a higher-cost campaign might quietly deliver your most loyal annual subscribers. Your attribution layer needs to pull in ad spend from your core acquisition channels, track users all the way through trial and renewal milestones, and manage the postbacks sent back to ad networks and privacy frameworks like SKAdNetwork.

When you examine how Airbridge Core handles the front end of this pipeline, the plan comes standard with ad channel attribution plus cost and ad spend aggregation for Google, Meta, Apple Ads, and TikTok. Tying that spend to the back end of your monetization funnel is what lets you calculate real return on ad spend. Airbridge Core attributes paid subscribers and revenue by campaign so teams can track revenue performance relative to installs. To make comparing those cohorts easier across the lifecycle, its Funnel report lets you compare conversion performance by campaign from install through trial start to the first subscription.

Getting subscription data into the attribution layer does not have to mean building every billing webhook from scratch. The Airbridge Core Plan SDK comes pre-configured with 25 standard subscription events. Furthermore, Airbridge receives supported subscription events from RevenueCat and Adapty once you configure the integration.

Beyond internal reporting, an attribution layer also governs the conversion signals sent back to ad platforms and operating system frameworks. If a user starts a trial or buys a subscription and immediately requests a refund, sending an instant conversion signal to your ad network can train the ad algorithm to bid on low-quality traffic. To address this, the Core Plan includes a Signal Hold feature that holds Meta Ads conversion postbacks for up to 24 hours and drops them if a cancellation or refund takes place. For teams running iOS acquisition campaigns, the Airbridge Core Plan also includes SKAN 4.0 reporting, a conversion value manager, and SKAN duplicate analysis. Together, these connections ensure that both your internal funnel tables and your external ad network signals reflect genuine subscription outcomes rather than raw install counts.

Can attribution data be used inside my existing product analytics tool?

Even when an attribution tool gives you clear campaign ROI tables, your product managers and data analysts will still want acquisition context inside their primary product analytics workspace. When you are investigating why retention dipped in a recent release or which onboarding variant converts best, you need to slice those product charts by the ad channel or campaign that brought the user in. Before committing to an attribution provider, you should verify how many external destinations your plan allows, which APIs or methods are used to transport the data, and what conditions must be met before custom properties show up in your charts.

On the Airbridge Core Plan, you get two third-party integrations included. If your team uses Amplitude or GA4 to analyze product behavior, you can use those integration slots to route attribution context into your analytics workspace. Because each analytics platform structures user and event metadata differently, it helps to walk through the exact mechanics for both tools.

If your product team relies on Amplitude, Airbridge’s V2 integration with Amplitude operates using Amplitude’s HTTP V2 API. Timing is an important detail to keep in mind when you plan your rollout: once the integration implementation is finished, Airbridge begins sending collected Target Event and in-app event data to Amplitude, meaning only data collected after the integration is implemented gets sent over. You will want to wire up this connection before launching a major paid campaign so your initial cohorts are captured from day one. Inside Amplitude, Airbridge event properties are imported as event properties by default, while certain properties are imported as both event properties and user properties. Specifically, the attribution data outlined for Amplitude consists of the touchpoint property data of Target Events. Having those touchpoint properties attached to your events and user profiles lets you group your existing Amplitude retention and behavioral charts by acquisition source.

If your team works in GA4, bringing attribution properties into your visual reports requires a quick configuration step inside the analytics interface after data starts flowing. In GA4, you can create a custom dimension using an Airbridge event property, provided that the Airbridge event property has been sent to GA4 at least once. Once that condition is met and the property has registered in your account, you can set up that GA4 custom dimension by selecting “User” as the scope, entering a dimension name, and selecting the Airbridge property as the user property; from there, the property can be set as a dimension in report comparisons with a match type applied, and the resulting data is visualized in graphs. By checking how these properties map into your specific analytics tool ahead of time, your team can bridge ad spend and product behavior without forcing everyone to learn a new reporting interface.

FAQ

How should our team estimate monthly event volume before choosing an attribution tier?

Start by auditing your current product analytics workspace to tally how many core lifecycle milestones—like installs, trial activations, and billing events—your app records in a typical month. Comparing that baseline against a plan's included allowance lets you see if an entry tier covers your active user volume while leaving headroom for upcoming campaign spikes.

What should we check with our engineering lead before wiring up subscription attribution?

Ask your developers whether your app tracks billing milestones through your own client-side code or routes them through an external subscription service. Clarifying your current event architecture first helps you decide whether to rely on pre-built SDK events or turn on a direct server-to-server integration with your existing billing tool.

When should we connect our product analytics tool during an attribution rollout?

You should complete and verify the connection to your product analytics workspace before launching new paid acquisition campaigns. Setting up the pipeline ahead of your ad spend ensures that incoming user cohorts carry their acquisition properties into your behavioral charts from the very first day of the campaign.