5 Mobile App Analytics Every Shopify Merchant Must Track

Why Analytics Are the Secret Weapon

Launching a mobile app for your Shopify store is a powerful way to boost sales, retention, and loyalty. But here’s the hard truth: simply having an app isn’t enough.

If you’re not tracking the right analytics, you’re essentially flying blind.

• Which features are actually driving conversions?

• Are push notifications bringing customers back—or annoying them?

• Which users are most valuable to your business?

Without answers to these questions, you risk wasting opportunities and leaving money on the table.

The good news? You don’t need to drown in data. By focusing on 5 key mobile app analytics, Shopify merchants can uncover actionable insights, optimize customer journeys, and turn apps into true growth engines.

In this blog, we’ll dive into the five must-track app metrics for every Shopify merchant, explain why they matter, and show you how to use them to grow sales and retention.

Why Mobile App Analytics Matter More Than Ever

Mobile commerce is exploding:

• By 2025, 73% of all eCommerce sales will come from mobile devices (Statista).

• Mobile app users convert at 3x the rate of mobile web shoppers (Criteo).

• Push notifications see 90%+ open rates compared to email’s 20% (Airship).

But these numbers only matter if you can measure and improve performance inside your own app.

Analytics tell you:

• Where customers drop off.

• What keeps them engaged.

• Which strategies deliver ROI.

In short: what gets measured gets improved.

The 5 Mobile App Analytics Every Shopify Merchant Must Track

1. Retention Rate

What It Is

Retention rate measures how many users return to your app after their first visit. It shows whether customers find lasting value or churn after one purchase.

Why It Matters

Retention is the foundation of eCommerce profitability.

• Acquiring a new customer costs 5x more than retaining an existing one.

• A 5% increase in retention can boost profits by 25–95% (Bain & Company).

If your app isn’t keeping customers engaged, you’re essentially running a leaky bucket business.

How to Measure It

Retention is usually tracked in time intervals:

• Day 1 Retention → How many users return the next day.

• Day 7 Retention → Users returning after a week.

• Day 30 Retention → Long-term loyalty indicator.

Formula:
Retention Rate = (Active users at end of period ÷ Total users at start) x 100

Example

A Shopify beauty brand notices Day 7 retention is only 15%. They add personalized push notifications for restock reminders and loyalty points. Retention jumps to 28%—doubling long-term value.

2. Average Order Value (AOV)

What It Is

AOV tracks the average amount spent per transaction in your app.

Why It Matters

AOV directly affects revenue. Higher AOV = more income without acquiring more customers.

How Apps Influence AOV

• Cross-sells: “Complete the look” suggestions in-app.

• Upsells: Premium or bundle offers during checkout.

• Loyalty incentives: Double points for larger purchases.

How to Measure It

Formula:
AOV = Total revenue ÷ Number of orders

Example

A Shopify fashion brand uses an app to showcase personalized bundles. AOV increases from $48 to $62—a 29% revenue boost without additional marketing spend.

3. Push Notification Engagement

What It Is

This tracks open rates, click-through rates (CTR), and conversions from push notifications.

Why It Matters

Push notifications are one of the biggest advantages of apps over web. But they can backfire if not used strategically.

• Relevant, personalized pushes = reactivation and sales.

• Spammy pushes = uninstalls.

Key Metrics to Track

• Open Rate → % of users opening the notification.

• CTR → % clicking through to take action.

• Conversion Rate → % completing a purchase after clicking.

Example

A Shopify supplements brand tests two push campaigns:

• Generic: “20% off today!” → 3% CTR.

• Personalized: “Your protein powder is running low—reorder with 20% off today.” → 12% CTR.

Personalization quadruples engagement.

4. Lifetime Value (LTV)

What It Is

LTV measures the total revenue a customer generates during their entire relationship with your brand.

Why It Matters

LTV tells you:

• How much you can afford to spend on acquisition.

• Which customers are worth the most.

• Whether your app is building long-term fans or one-time buyers.

How to Increase LTV With Apps

• Loyalty programs.

• Subscription models.

• Personalized recommendations.

• App-exclusive perks.

How to Measure It

Formula:
LTV = AOV x Purchase Frequency x Customer Lifespan

Example

A Shopify skincare brand tracks LTV across channels:

• Website buyers = $120 average LTV.

• App buyers = $260 average LTV.

The app nearly doubles lifetime value thanks to loyalty points and push reminders.

5. Churn Rate

What It Is

Churn rate measures how many users uninstall or stop engaging with your app over a set period.

Why It Matters

High churn = wasted acquisition costs and lost growth potential.

Apps with strong retention keep churn under control by creating ongoing value.

How to Measure It

Formula:
Churn Rate = (Users lost during period ÷ Total users at start) x 100

Causes of Churn

• Overuse of push notifications.

• Lack of exclusive value in the app.

• Poor user experience or slow loading.

Example

A Shopify home goods brand finds 35% of users churn within 30 days. After adding app-exclusive bundles and gamified rewards, churn drops to 20%.

Bonus Metrics Worth Tracking

While the five above are essential, Shopify merchants can also track:

• Session Duration: How long users spend in the app.

• Feature Usage: Which features (loyalty, gamification, UGC) are most popular.

• Cart Abandonment Rate: How many users start checkout but don’t complete it.

• Download-to-First-Purchase Rate: How effectively your app converts new users.

How to Use Analytics to Drive Growth

Step 1: Collect the Right Data

Use Shopify-integrated tools and analytics platforms like Firebase, Mixpanel, or BeyondCart’s dashboards.

Step 2: Identify Weak Spots

Is retention low? Are push notifications underperforming? Let data guide you.

Step 3: Test & Optimize

Run A/B tests on push messages, loyalty offers, or product recommendations.

Step 4: Personalize

Use data to segment users and deliver tailored experiences.

Step 5: Build Feedback Loops

• Share insights with marketing, product, and customer service teams.

• Continuously refine based on what works.

Common Mistakes to Avoid

• Tracking vanity metrics. Downloads don’t matter if retention is low.

• Not segmenting data. New vs. returning users behave differently.

• Ignoring churn. Losing users silently erodes growth.

• Overcomplicating dashboards. Focus on the metrics that move revenue.

Future of App Analytics in Shopify

By 2025, analytics will become even more powerful with:

• AI-driven predictions of customer churn.

• Behavioral analytics that suggest next-best offers.

• Cross-channel integration to link app, web, and in-store data.

The brands that embrace analytics will deliver hyper-personalized experiences that keep customers loyal.

Actionable Takeaways

• Focus on 5 core metrics: Retention, AOV, Push Engagement, LTV, Churn.

• Apps provide unique retention advantages—push notifications, loyalty, gamification.

• Use analytics to identify weak points and continuously optimize.

• Personalization and segmentation are the keys to better performance.

• Long-term success comes not from downloads, but from active, engaged, loyal app users.

Data Is the Path to Loyalty

Launching a mobile app is exciting—but analytics turn it into a profit engine. By tracking the right metrics, you can transform one-time shoppers into loyal, long-term brand fans.

In 2025 and beyond, Shopify merchants who master app analytics won’t just survive the competition—they’ll thrive by building retention-focused, data-driven growth strategies.

Ready to Harness the Power of App Analytics?

With solutions like BeyondCart, Shopify merchants can access dashboards, push analytics, and loyalty insights that simplify decision-making. Don’t just launch an app—make it smarter with data.