Mobile Attribution: How It Works

The mobile app industry keeps changing every year. That's why every marketer asks themself today: What are the most meaningful mobile app trends in 2022? Want to know the answer to this question? This article is for you!

Your Complete Guide To Conversion Rate

Top Five Mobile App Trends To Follow In 2022

5 Subscription App Metrics And KPIs To Grow Fast In 2022

Let's take a look at practical use cases, when it makes sense to try Web2App campaigns for your app.


How to increase your app revenue by 5% in 10 minutes?

Web-to-App Advertising: Use Cases

What’s new with in-app purchases at WWDC 2022

Over the past few months, we’ve been busy finishing our long-awaited features and now we are proud to finally announce an April update!

Send subscription renewal events to Firebase and Google Analytics

What's new: Manual & Scheduled Rules, TikTok Integration and more

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With the release of iOS 14.5, more marketers are trying to find a way to advertise their apps and track campaign effectiveness in real-time.

Measuring Apple Search Ads campaigns without IDFA

Web-to-app advertising in Facebook using Conversions API

The mobile subscription market is growing, subscriptions are bringing in more money, but at the same time, the market is becoming more competitive.

Revenues for apps in different categories are extremely unevenly distributed. The best apps have <a href="https://apphud.com/blog/five-metrics-grow-fast" target="_blank">metrics</a> that are many times better than the average for their category. Therefore, we need to continue to work on product value, and that includes optimizing paywalls.

Payment screens can be in many different places in the app, but the most important in terms of conversions and sales is of course the main paywall, which is shown to new users immediately after onboarding. This is the screen where most purchases are made.

Therefore, this article will talk mostly about the main payment screen.

Let's take a look at the components of an app paywall, the static and dynamic elements, the number of products, and their possible combinations.

So what does a typical app paywall consist of?

Usually, if it's in a small image with a cross, developers try to make it less conspicuous and put it in the upper left corner (it's harder to reach with your finger there).

Also, a less popular option is a link below the buy button. The most popular text in the case of this solution is 'Maybe later'.

There are also so-called hard and soft paywalls. A soft paywall is a screen that has a closing element (in the form of a cross or link under the call-to-action button).

You want to use the hard paywall if you don't want to give the user the possibility to try some features for free (except for the trial period feature).

Monochrome with a pattern or gradient, image or video is an advanced option.

The background is an important element of the screen, it translates the design/styling of the application, but can also serve as an additional selling factor.

For example, you can place a nice looping video in the background that shows the benefits of the application.

A teaser is an image or a video at the top of the app paywall. The visual element increases user engagement with the product, builds trust, and allows you to showcase the additional social value of premium features.

In addition to a single graphic element, you can use a carousel or gallery of media elements with auto-scrolling or left-right swiping on the component.

What is some good content for images? Depending on the category of the app, a photo of real people or showing the features of the app might work well.

If we're talking about video, we need to keep in mind that video needs to be tailored to the specifics of viewing on mobile devices. For example, many users have muted audio on their devices, so it's worth adding text descriptions/notes within the video. Also, based on best practices in advertising creatives, we know that the user needs to be hooked in the first 3 seconds of viewing, and the video should not be too long (15-30 seconds).

The purpose of the headline is to communicate the main value of the application or to get the user to take a specific action, in our case, a purchase.

It is an extremely important and eye-catching part of the page header, so it must be well-edited and tested in different ways.

The text in the header is most often encouraged to get the full functionality of the application. A better example is the text that communicates the value of the app and lets the user know that they will be able to solve their problem or improve themselves with premium features.

Examples of popular headline texts:

Another important part of the paywall is a block detailing the benefits of the paid subscription.

It can be in the form of a short text (less frequent) or as a list of features/benefits, complete with nice markers or icons.

The amount of text that can be comfortably read on mobile devices is very limited, so you need to think carefully and use this space wisely.

For example, you can add 5-star reviews from satisfied users in storefronts - this is important social proof and can serve as an additional selling point. You could also include a short FAQ, mention the app's awards (if any), or add a short comparison chart of the features of the free and paid versions.

The block that no paywall can do without is the list of purchases and subscriptions. In fact, before discussing elements that should incline the user to our side, we are already making a direct offer in this block.

If there's only one product on the app paywall, then the price is simply written in text above or on the single button.

If there are 2-3 products, for example, individual buttons are made, each with a description of its purchase. This option allows a single tap on the desired product to activate the purchase, but it looks more clumsy and is not the most popular.

The most common multiple-product selection options are the active product toggle and CTA buttons. The product description bars themselves can be placed either one below the other or in a single row, it doesn't matter.

On average, there are two products on the paywall - a default one that the developer wants you to purchase, and an alternative or special "downside" subscription that highlights the benefits of the default purchase.

The preferred default purchase is often marked with a "Best Value" or "Popular" badge or something similar to emphasize that the selected default product is the most advantageous to purchase.

If there is a product selection on the badge, it's a good idea to highlight the most valuable or expensive subscription.

The design of the badges is not prescribed in any way, so use your own taste. You can also use words like Best Value, Most Popular, etc. that really impact conversion rates.

The last step before the purchase and the standard system payment screen is the button pressed by the user who has decided to make a purchase. That's why it's pointless to talk about the importance of this element, as it directly affects the conversion into a purchase.

Popular texts here are either a call to action such as 'Start free trial' or there is also the option 'Continue'. Why does the latter work so well? First, psychologically, 'continue' is not as scary as 'make a purchase'.

In addition, the 'Continue' buttons are often pressed during the onboarding process, so the user is more likely to press 'Continue' for the Nth time and buy. A kind of this is also a trick, some kind of dark pattern.

Variations of texts on the button:

Some time ago it became popular to offer the user a choice of trial. The secret of such an element is that the user can choose and configure the subscription for himself.

When a person feels that he can influence how much he will pay for the value he wants, then the decision in favor of the application is made more easily.

Legal information is an essential part of the payment screen that you can't do without.

The old approach is to write a bunch of text with the terms and conditions of the checkout and unsubscribe below the CTA button. In the past, Apple required that all information be summarized directly on the paywall.

This resulted in the lengthy text taking up unnecessary space at the bottom of the screen and prevented app developers from implementing a better way to place more useful information about their product.

Fortunately, those days are gone, and today you only need to place the most necessary links on the paywall:

It's enough to place all these elements at the bottom of the screen in the form of small, neat links.

So, we've talked about the components of a quality pavilion. Now let's take a look at some popular paywall patterns.

Of course, it is incorrect to consider the main purchase screen in isolation from onboarding screens, because it is the tutorial that explains the benefits of the app, communicates the value, and prepares the user to subscribe or begin a trial period. In other words, <a href="https://apphud.com/blog/mobile-app-onboarding-general" target="_blank">onboarding</a> and paywalls are practically the same in today's apps.

In this article, we won't dive deep into what the ideal onboarding should look like.

However, we will provide some practical tips:

Paywall is a key element influencing the purchase and the user's decision to use the app. In this article we will cover all you need about app paywalls. 

The best paywalls for subscription apps to increase conversion rate

White paper: 5 Growth Cases for Subscription Apps

Paywall is a key element influencing the purchase and the user's decision to use the app. Whether a new user becomes a loyal user depends on the effectiveness of the paywall.

How to get more out of your subscription app User Acquisition in 2023

Best-performing Paywall Examples for Subscription Apps

<a href="https://apphud.com/blog/how-arpu-arppu" target="_blank">ARPPU</a> is an essential metric if you want to track your app growth, understand your target audience, and, most importantly, <a href="https://apphud.com/blog/scale-app-revenue-with-apphud" target="_blank">increase revenue</a>. ARPPU indicates Average Revenue per Paying User and calculates with the following formula:

ARPPU = (Total Revenue* generated by users in period) / # number of paying users

*In this formula, revenue could mean Sales or Proceeds. It's better to calculate ARPPU based on the Proceeds metric to analyze more accurate values.

However, it’s not as simple as it seems. 

While analyzing ARPPU, keep in mind that you need to specify the timeline because subscribed users may have different subscriptions: users upgrade, reactivate and downgrade them.

Where to get insights while analyzing ARPPU for the Nth day:

In Apphud, we calculate ARPPU for cohorts and for each user personally, starting from the date of the first launch and then in 24-hour intervals. Thus, each user has their life cycle calculated from the first application launch.

In Apphud, we provide you with all the necessary data for the deepest revenue analysis.&nbsp;

Let’s take a look at the ARPPU chart in Apphud.

When we change the cohort period, we see that the list of the most profitable countries changes. It is crucial to evaluate your application data based on the app specifics, frequency of payments, etc. Looking at the data from different angles is critical because it expands your view and allows you to make the right decisions.

ARPPU analysis for the Nth day is a good example of how to use your data in the right way. Moreover, Apphud allows you to segment cohorts by day/week/month/quarter/year, paywall, platform, device, promo offer, product, gender, ad campaign, and more.

This is a case based on historical data but it is important that by breaking down the overall cohort in more detail we can find useful insights.

In Apphud, we understand how app revenue analytics is important for your business growth. That’s why data accuracy is our priority. Our platform provides <a href="https://apphud.com/blog/apphud-data-accuracy-research" target="_blank">the most accurate app revenue data</a> to provide you with actionable insights. ARPPU for the Nth day analysis demonstrates how you can use Apphud's wide array of features to understand your audience, launch experiments, and test hypotheses. <a href="https://app.apphud.com/sign_up?utm_source=blog&amp;utm_medium=article&amp;utm_campaign=arppu_for_nday" target="_blank">Sign up for Apphud</a> for free and try it now!

This article will explain how to interpret the app revenue data to transform it into app growth points. Find more in our blog and try Apphud for free!

Use case: Analyze ARPPU for the Nth day - Apphud blog

Use case: How to get insights from the Cumulative LTV chart

This article will cover the following topics: why ARPPU is an important metric, what insights you may have by analyzing ARPPU, and what specifics you should consider scaling your app profit.

Guide: Increase your app revenue with Apphud

Use case: Analyze ARPPU for the Nth day for app revenue growth

Every app owner needs to constantly work on adjusting processes and testing new opportunities to succeed. In this guide you will find three main directions to focus on. We collected practical advice on how to get your app to the next level while keeping positive economics using Apphud.

Before strategy implementation, you have to know your existing results: product and <a href="https://apphud.com/blog/ua-trends-for-subscription-apps" target="_blank">user acquisition</a> benchmarks. Accurate app revenue analytics is the basis of <a href="https://apphud.com/blog/5-growth-cases-white-paper" target="_blank">business growth</a>. There is a permanent process of goal setting and achieving.

Apphud provides the <a href="https://apphud.com/blog/apphud-data-accuracy-research">most accurate app revenue tracking</a> on the market. Our team worked hard to let you make data-driven decisions based on reliable data. We have reached 99.9% of data matching between Apphud and App Stores on the majority of connected apps.

Let’s go deep into the practice and learn which metrics you should track and how you can use them to generate revenue.

Most mobile apps with subscription models successfully use free trials for customer engagement.

Following trial events will be helpful for your growth strategy:

The market benchmark of trial conversion is around 25-30%.&nbsp;In the post-IDFA world a trial event became a lifeline for marketers for attracting new users and estimating results from different sources.

Integrate Apphud with Atrribution Partners

1.&nbsp;Integrate Apphud with one of the following MMPs: <a href="https://docs.apphud.com/docs/branch" target="_blank">Branch</a>, <a href="https://docs.apphud.com/docs/appsflyer" target="_blank">AppsFlyer</a> or <a href="https://docs.apphud.com/docs/adjust" target="_blank">Adjust</a>. This will allow you to get user-level attribution data for consented users.&nbsp;

2. Integrate Apphud with <a href="https://docs.apphud.com/docs/apple-search-ads">Apple Search Ads</a>. This will allow you to get attribution data for all users. Analyze your subscriptions revenue in Apphud Charts across marketing campaigns.&nbsp;

3. Analyze marketing campaigns in your MMP dashboard enriched by Apphud's subscription events.

Optimize marketing campaigns on the users' cohort who didn’t cancel the free trial after 1 hour.

1.&nbsp;Whenever a user starts a free trial and launches the mobile app again while the trial is still active after 1 hour, consider sending an increased conversion value to SKAdNetwork. Use Apphud SDK to check the auto-renewal status of the subscription.

2. Map these custom events with one of the Ad Network's standard events.

2.&nbsp;Launch a marketing campaign with optimization on these events.

4.&nbsp;Analyze revenue results in Apphud Charts and in MMP dashboard for marketing campaign effectiveness analysis.

It might be obvious but you should know all about your subscriptions: the number of new subscribers, renewals, the average subscription check, cancellations, and so on.

These numbers reveal the bottlenecks of your app and give you a hint for launching the next experiments. For example, let’s take a look at the <code class="inline-code">Subscribers retention</code> cohort in Apphud.&nbsp;&nbsp;

The chart’s X-axis is labeled as “Renewals 0-N”. It stands for the Nth renewal of a user subscription. Subscriptions may have lapses. So during the billing grace period the subscription remains active.

Cohort analysis is a crucial source for gathering product hypotheses. It is a great tool for a deep understanding of how well subscriptions are renewed and how revenue is retained.

The point is in segmentation because the overview picture couldn’t be so insightful. Apphud provides 20+ filters for user segmentation: <code class="inline-code">by Country, Device, Product, Rule, Promo Offer, Gender, Age, Marketing channel</code>, etc.

Analyze your data with Cohorts Charts.

1. Segment your users in the Subscribers retention cohort by product, country or other parameters.

2.&nbsp;Pick the period of the users’ first seen date.

3.&nbsp;View by Week, Month, Quarter, or Year based on your subscription length.

4.&nbsp;Look at the average lifetime for this cohort.

The reason why you are reading this guide is to search for <a href="https://apphud.com/blog/5-growth-cases-white-paper" target="_blank">revenue growth opportunities</a>. The events we mentioned above are important, but you have an incomplete picture if you do not take into account revenue metrics. There are a bunch of different <a href="https://apphud.com/blog/five-metrics-grow-fast" target="_blank">metrics</a> but not all of them are equally useful for the monetization strategy. We chose the main ones to calculate unit economics and find app growth points.

This metric displays monthly recurring proceeds, it helps you better understand how much money you have from recurring purchases each month.

Looks pretty straightforward, but it has a trick. Your future decisions depend on how you calculate proceeds. To measure worldwide proceeds correctly you have to consider VAT rates and internal Apple conversion rates.

Just for the record, Apphud deducts Taxes from the Proceeds metric for iOS and Android apps. Without it data discrepancies can reach 15%. It’s hard to make the right decisions based on this kind of unreliable data, isn’t it?

Besides getting new revenue, app owners always face losing subscribers. We can’t avoid it but we can control and impact it. To calculate this metric you need to choose a period first. It shows how much revenue was lost during the selected period.

The “Revenue Churn” chart is especially helpful to ensure that you're not losing the most valuable customers (subscription churn can be relatively low while <a href="https://apphud.com/blog/churn-rate#churned-revenue" target="_blank">churned revenue</a> is high).

Like subscriptions churn, revenue churn also can be negative if users upgrade subscriptions or subscribe more within your app. And, of course, it's a good signal too.

Everyone related to the subscription business at least heard about <a href="https://apphud.com/blog/how-arpu-arppu" target="_blank">ARPU (Average Revenue Per User) and ARPPU (Average Revenue Per Paying User</a>) metrics. These metrics allow you to predict whether you can reach monthly revenue targets. And if not, what exactly do you need to adjust? It calculates the revenue, detects channels that successfully target your audience, and can even target people similar to your existing customers.

However, we want to emphasize new alternative metrics. You can track the average revenue per event that better matches your final goal. For instance,&nbsp;<a href="https://apphud.com/blog/arpas-case-study">ARPAS (Average Revenue Per Activated Subscriber)</a>.

The ARPAS metric is necessary to optimize campaigns on users who did valuable actions in the app. The need for measuring this metric is dictated by SKAdNetwork attribution restrictions.

Keep in mind that a better way to analyze this data is a cohort analysis. You will be able to measure the value of any user group you attracted from user acquisition channels.

Measure the ARPAS metric to control your Cost per Action

1.&nbsp;Go to the Apphud ARPPU chart and select Calculate users by events - Purchases + Trial started.

2.&nbsp;Segment by product, country or other paratemer.

3.&nbsp;Choose the maximum cohort period.

5. Run marketing campaign and send the same conversion value to any of actions: free trial, subscribe, or non-renewing purchase.

6. Keep your CPA lower than ARPAS metric by setting a bid that is equal to ARPAS.

Data becomes insightful when you analyze it in detail, immerse it into numbers and transform it into a hypothesis in order to move to the next level - running experiments.

The first contact with a paywall is decisive for transforming a user into a customer. You may not have a second chance. It means that you should find the most profitable products, prices, and paywall designs to maximize app revenue.

You can find inspiration for your paywalls designs in the <a href="https://apphud.com/gallery">Apphud Paywall Gallery</a>. We collected more than 150 free downloadable paywalls and screen trends to make the testing process easier for app owners.

The powerful <a href="https://apphud.com/blog/ab-testing-with-apphud">A/B experiments</a> tool will help you to <a href="https://apphud.com/blog/best-practices-for-paywall-ab-tests" target="_blank">find the most converting paywall</a>:

While creating the experiment you can set up a bunch of parameters: variations, audience, and platform. You can run several experiments on the paywall simultaneously by choosing a different audience for each test. In case of overlapping audiences, such users will be marked to the first experiment only, the earliest by its creation date.&nbsp;

The experiment overview page shows all the main metrics: <code class="inline-code">Views, Marked Users, Affected Users, Trials, CR Trials, CR Trial-Purchase, Purchases, CR Purchases, Last Purchase, Sales, Proceeds, Refunds, ARPU, ARPPU.</code>

We provide you with a statistically valid result which is a number between 0 and 1. It is used to determine whether the experiment result is random. For our experiments, we define a significance threshold of 5% (or <code class="inline-code">P-value = 0.05</code>).

Statistically significant in this case is the result whose P-Value is equal to the significance level or less than it (P-value ≤ 0.05).

When we assure the result of the test is significant in terms of P-value, we display it.

Increase your conversion rates with the best-performing paywall.

1.&nbsp;Describe your experiment: choose the audience, define paywall variable parameters, set estimated metrics and expected result.

2.&nbsp;Search for industry paywall best practices in the Apphud Paywall Gallery.

5.&nbsp;Get a statistically valid result.

Note that the more variants you have in your running experiment, the more users will be required to see a significant result. 

When we attract new customers our main goal is to retain them. The best way to do this is to use <a href="https://docs.apphud.com/docs/push">push notifications</a>.&nbsp;

Apphud may win back lapsed subscribers, reduce churn rate, attract non-paying users, and get cancellation insights using a powerful automation tool called <a href="https://docs.apphud.com/docs/rules">Rules</a>. The Rules are a combination of automated push notifications with no-code in-app interactions like surveys and discount offerings that serve to engage and re-engage subscribers. This tool is easy-to-use and provided by a web editor with zero lines of code.

Build a new Rule from scratch or use one of <a href="https://docs.apphud.com/docs/rule-templates">the templates</a>.

Increase your monthly app revenue by up to 10% by automatically offering a discount to a user at the specified moment.

In this guide, we describe three main directions and practical advice on how to get your app to the next level while keeping positive economics with Apphud.

Apphud Subscription App Revenue Growth Guide

At each stage of product development, from launching to scaling, the burning question is how to make an app profitable, and how to increase revenue with no big budgets. 

Marketing Channels for Mobile App Promotion That Work

The <a href="https://apphud.com/blog/understanding-rules-in-apphud" target="_blank">Rules</a> are a combination of automated push notifications with in-app interactions like surveys, discount offerings, and more, that serve to engage and re-engage subscribers.

All of these and more can be achieved using just a web editor with zero line of code.

In our <a href="https://apphud.com/blog/understanding-rules-in-apphud" target="_blank">previous post</a>, we talked about Rules and how they technically work. Our Rules were dependent on subscription events, like <code class="inline-code">Trial Canceled</code> or <code class="inline-code">Billing Issue</code>. But now, we are happy to announce Manual and Scheduled types of Rules, which open up great opportunities for engaging more subscribers.

The Rules have undergone some changes that will interest you. Now you can:&nbsp;

For an event-triggered rule, you can set a delay that is limited to 24 hours max. After the timer fires, a push notification will be sent to a user. And if a user opens an app, an in-app interaction, if set, will be triggered as well.

Why may you need a delay? One of the useful cases is to use it with such custom non-subscription events, like, <code class="inline-code">Paywall Payment Canceled</code>. If the user initiated a payment but canceled it, you may want to send them a push notification with, let’s say a 1-hour delay. In the push message, you may want to offer them a discount, and if the user opens the app, an in-app interaction screen can be shown, if set, which will automatically process the payment.

You can now create event-triggered Rules for the following non-subscription events:

You can use these events to welcome new users with a Push message or offer discounts for non-paying users.

Manual Triggered Rule lets you run a push notifications campaign with a click. There is no condition by event, just define your audience and set up a push notification and/or in-app screen.

Manually triggered push campaigns let you interact with your customers whenever and however you want.

You can also schedule a Rule for a particular date in the future, for example, Christmas or Thanksgiving day. Deliver important messages and in-app interactions on your specified day and hour. Create as many push notification campaigns as you want.

Another cool feature is the ability to schedule push campaigns on the specified days of the week. For example, you can send push notifications on weekends, on Mondays, or every day.

In the screenshot above a Rule has been scheduled to run on Mondays, Wednesdays, and Fridays at 15:00 UTC.

How to increase your monthly app revenue by 5-10% using Rules

Here we will share a few common use cases, which you can use to grow your monthly revenue.

How to get even more app revenue from the Rules?

Create two offer screens, one with a 50% discount and the other with a 75% discount, and link these two screens:

Rules in Apphud is a powerful tool that lets you interact with your customers. By using built-in templates you can easily set up a few Rules that will <a href="https://apphud.com/blog/scale-app-revenue-with-apphud" target="_blank">increase your monthly revenue</a> by 5-10%.&nbsp;In-app offer screens are provided with automatic payment processing. Analyze your Rules-derived revenue in a large set of Apphud charts.

Automatic payment processing in the in-app screens with powerful Rules-derived revenue analytics are those features that differentiate Apphud’s Rules from other Push Notification SaaS platforms.

It’s worth mentioning that Rules are code-free, the only thing you need to do is <a href="https://docs.apphud.com/docs/push">set up push notifications</a> in your app.&nbsp;Try out powerful <a href="https://app.apphud.com/sign_up?utm_source=blog&amp;utm_medium=article&amp;utm_campaign=increase_app_revenue">Rules in Apphud</a> and start increasing your revenue today!

Interested in how to increase your app revenue by 5% in 10 minutes with Rules? We have a clear and detailed guide to help you. Read and get started!

How to increase your app revenue in 10 minutes? – Apphud Blog

Let's take a closer look at what the <a href="https://apphud.com/blog/what_is_ab_test" target="_blank">A/B testing</a> tool represents in the Apphud service, how to use it correctly, and the advantages it offers.

Experiments in Apphud is a feature that includes <a href="https://apphud.com/blog/best-practices-for-paywall-ab-tests" target="_blank">A/B testing of paywalls</a>.

<a href="https://apphud.com/blog/experiments_case_study">With A/B tests in Apphud</a>, you can gain a better understanding of your audience and their preferences (as each niche has its own), allowing you to offer products that have higher demand and earn more revenue.

Apphud Experiments provide the following capabilities:

Conducting experiments (A/B tests) using Apphud has several important advantages:

&nbsp; &nbsp; &nbsp;1.&nbsp;&nbsp;No coding

You can modify paywalls from the Apphud dashboard without involving costly development resources or releasing the app on the App Store. Conducting experiments allows you to avoid wasting time and resources on implementing ineffective changes that could negatively impact the development of your mobile application. Here's how it works.

You create a separate container (variation) for each group of users, and the functionality of the paywalls includes:

By having custom JSON, you can test not only purchases but also the appearance of the paywalls.

Example 1: You can create two different onboarding experiences in your project and switch between them based on a field in the custom JSON.

Example 2: You can show or hide specific app features based on a field in the custom JSON.

<code class="inline-code">onb_type</code> - one of the onboarding types.

<code class="inline-code">selected_index</code> - the preselected product index on the paywall.

<code class="inline-code">close_time</code> - the delay time before displaying the Paywall close button.

&nbsp; &nbsp; &nbsp;2.&nbsp;&nbsp;Risk Reduction

Experiments help mitigate risks associated not only with development efforts but also with implementing changes in the app's code, such as visual modifications to the paywall, which can negatively impact purchase conversions from paywall displays. In case of a negative outcome, you would need to make changes to the paywall again and release the updated app on the App Store. This process takes time during which you may lose your audience. Therefore, A/B tests provide a beneficial opportunity to assess the effectiveness of different paywall modifications on real users.

&nbsp; &nbsp;3.&nbsp; Optimization

Conducting A/B tests allows you to optimize your application by improving the user experience, and increasing purchase conversions, and other metrics.

&nbsp; &nbsp;4.&nbsp; Obtaining Objective Insights

Experiments provide you with objective data on the effectiveness of changes, enabling you to make decisions based on factual results rather than assumptions or intuition.

However, conducting experiments should be based on a sufficient number of users and data to ensure high metric sensitivity and obtain objective results.

There a plenty of factors you can modify and test in Apphud:

You can run a test with multiple variations of paywalls, such as 5, each featuring different products and prices. Alternatively, you can compare just two variations of the paywall, determine the winner, and then create a new experiment comparing the new variation against the previous winner.

You can <a href="https://apphud.com/blog/ab-test-ideas-for-subscription-apps" target="_blank">test your hypothesis </a>by using the Trial subscriptions graph in the Events section when segmented by Paywall. This will show the expected increase in subscriptions. Additionally, you can observe the results directly in the experiment using the CR Purchases metric (Conversion to Purchases).

Apphud provides extensive capabilities for working with audiences. You can use both the standard set of audiences and create custom ones, utilizing various parameters and combinations (location, specific event occurrence, paying/non-paying, current subscription status, and many others).

Let's take a closer look at what the A/B testing tool represents in the Apphud service, how to use it correctly, and the advantages it offers. Read on to learn more!

Unleash the Power of A/B Testing with Apphud Experiments

Everyone who relates to subscription apps understands the importance of delivering a great user experience and maximizing user engagement. One of the best ways to achieve this is through A/B testing.

Everything you need to know about App Revenue Growth

Top Five Mobile App Trends To Follow In 2022

Web-to-App Advertising: Use Cases

What's new: Manual & Scheduled Rules, TikTok Integration and more

Web-to-app advertising in Facebook using Conversions API