What analytics should you measure post-launch of your eCommerce app?

Post-launch analytics for eCommerce apps is the single most overlooked growth lever. Most apps stop at launch—big mistake. Here’s why.

What Is Post-Launch Analytics for Your eCommerce App?

It’s a big achievement when you finally get your app ready for launch. But now the fun begins! The most important aspect for continued success isn’t design or marketing, it’s understanding how your customers engage with your app, convert to paying users, and maintain their loyalty.

It is a bit like driving a car, but with a twist. Now imagine that driving the car means you’re not able to see the speedometer, the fuel gauge, or where the warning lights are for the engine. Ignoring app analytics after launch is a good analogy for driving that car. Post-launch analytics is not just a ‘nice to have’ for an app, it’s an absolute necessity. Your competitors are busy driving that same car, and you want to get to the valuable destination first.

Analysis of customer data is the fuel of the car. It’s how to keep driving toward customer lifetime value, retention, and revenue growth. It’s growth analytics and understanding how to use it that keeps your engine running smoothly.

Key Metrics to Track While Your App Grows

Metrics Around Engagement Through User Understanding

1. Retention Rate

• Importance: Harvard Business Review points out that it’s at least 5 to 25 times more expensive to get new customers than to keep the ones you already have. Your retention rate indicates if there is ongoing value provided.
• What to quantify: User return percentages at 7, 30, and 90 days. Cohort analysis reveals growth sustainability.
• What to do: Create retention dashboards in Twinr’s analytics to compare activation and loyalty, find “drop-off” points, and adjust onboarding or feature settings.

Good piece of advice: If you have a retention rate over 30% 30 days after onboarding, that’s good! If you have below that, you need to see why users are leaving and do some work.

2. Daily / Monthly Active Users (DAU/MAU)

• Why: This ratio signifies stickiness—a high DAU and MAU point to engaged customers. A healthy DAU/MAU ratio (>20%) indicates your app becomes part of users’ routines.
• How: Track unique users daily and monthly through Twinr’s dashboard. Regularly review fluctuations—are users returning consistently?

3. Session Duration & Frequency

• Why: Longer sessions and frequent visits signal deep engagement. Conversely, brief visits suggest you’re missing the mark.
• How: Measure average time per session and return frequency. Use these insights to improve features that keep users hooked, like loyalty programs or personalized notifications.

4. Churn Rate

• Why: Churn is the silent revenue drain. Understanding why users uninstall or stop engaging enables targeted retention strategies.
• How: Through cohort analysis and user feedback, identify patterns—are certain actions triggering churn? Optimize those pain points.

Conversion Metrics — Turning Visitors Into Loyal Customers

5. Conversion Rate (CVR)

• Why: Your ultimate goal—how many visitors convert into buyers or repeat customers.
• How: Use funnel reports to locate drop-offs in buying journeys. Twinr’s analytics help visualize the checkout flow—from add-to-cart to purchase—and optimize weak spots.

6. Average Order Value (AOV)

• Why: Is the most effective approach since it increases revenue without having to get new users.
• How: Keep an eye on total revenue over total orders. Use the data to implement upselling and cross-selling.

7. Cart Abandonment Rate

• Why: High abandonment rate indicates friction during the checkout process and/or surprise fees.
• How: Identify where users drop off during checkout. Twinr is excellent at pinpointing these details.
• Then, streamline the process and/or increase motivation to complete the checkout.

Customer Satisfaction & Feedback

8. Net Promoter Score (NPS)

• Why: It is a good predictor of customer loyalty and likelihood of referrals.
• How: Surveys sent through the app or emails help Identify advocates and detractors to inform where attention is needed for product improvements.

9. App Store Ratings & Reviews

• Why: Positive/negative reputation for your app heavily impacts your organic growth.
• How: Track and respond to reviews, especially if there is a pattern of negative or lack of features. Twinr has great tools for managing this.

Advanced Metrics to Unlock Hidden Opportunities

More than the most basic KPIs, further investigation and analysis can reveal growth that has yet to be captured.

1. User Journey Analytics

• Funnel analysis to see where users drop off. Examples: at registration, during checkout of a product, or after a purchase.
• Pro Tip: Use Twinr’s custom event tracking to locate friction points and A/B test improvements.

2. Feature Usage Data

Recognize which functionalities, such as push notifications and loyalty modules, ignite enthusiasm and shift your focus to accelerating your enhancements.

Insight: Features that get little use indicate low visibility and/or usability problems that can be fixed.

3. Segmentation & Cohort Analysis

Divide your users as per their activity, geography, gadget, or channel.

Example: VIP clientele distinctly showing responsiveness to loyalty offers can be capitalized through tailored timing controls to optimize profitability.

How Twinr Empowers You to Track These Metrics Effortlessly

Twinr’s no-code dashboard streams all your key performance indicators to include retention, engagement, and revenue and provides insights in real time with a couple of clicks. It’s as easy as drag and drop to custom events, funnels or user segments. More action, less data crunching.

Pro tip: You can connect your app right away and start implementing targeted marketing campaigns from your analytics ahead of competitors.

The Biggest Growth Hack: Data-Driven Optimization

Most eCommerce founders don’t monitor key post-launch KPIs. Period. Predictably, churn, stagnation, and revenue is left on the table.

The smart ones use data to iteratively optimize—testing features, tweaking copy, and reinforcing action. Twinr gives you the real time data to sharpen your edge in the market.

Post-Launch Data: the Key to Retention and Revenue

If you’re not looking at specific metrics after the initial launch of your eCommerce store, you’re really throwing darts at a target blindfolded. Metrics guide you to the areas where the customer is succeeding or the areas where they are getting stuck. They help you improve retention and revenue and stop your competitors from getting ahead.

It’s basic, really. Data will help you make informed choices, and those are the choices that will help you grow your eCommerce business.

Post-Launch Data: the Key to Retention and Revenue

Once you’ve eCommerce app is launched and live, the ‘real work’ begins. After that, you are looking at retention, engagement, and conversion metrics. Keeping those metrics top of mind will help you find growth opportunities that competitors will overlook. To make that process even smoother, you can rely on Twinr’s analytics dashboard. You will be spending less time guessing and more time growing your app.

Start connecting your data today—try Twinr free, and get real insights and real revenue.

F A Q

Q1. Can I track customer lifetime value (LTV) inside Twinr?

Yes. Twinr can track purchasing, engagement, and churn, and that data can even show the LTV right in your dashboard, and help you make more educated marketing spend decisions.

Q2. How often should I analyze KPIs after launch?

Your retention and session duration are the core metrics you should analyze on a weekly basis. And deeper cohort metrics should be analyzed on a monthly basis. Ongoing review helps you see the changes a lot quicker.

Q3. What’s the best way to reduce churn after launch?

Using the in-product analytics, you can locate customers with a higher risk of churn, and connect with them through personalized offers. Use feedback to improve your UX, and keep iterating and improving your onboarding.

Q4. Can I segment my users?

Yes. Twinr supports user segmentation by geo, activity, and device so you can develop a more focused marketing approach.

Q5. How does real-time analytics help my growth?

Fast, action-oriented decision-making is real-time analytics core advantage. If a campaign is failing, or a new feature isn’t working, you can change the set of actions immediately to get a better return.