What is the best way to track and analyze mobile commerce data?

1 Why track and analyze mobile commerce data?

Tracking and analyzing mobile commerce data is essential for e-commerce businesses as it enables them to identify and segment their mobile customers, understand the performance of their mobile site or app, test and improve their mobile design, layout, navigation, and content, monitor and optimize their mobile marketing campaigns, and evaluate and compare their mobile commerce metrics with industry benchmarks and competitors. By doing so, businesses can ensure a better user experience and satisfaction, as well as improved marketing campaigns that will lead to increased traffic, conversion, revenue, retention, and loyalty.

2 How to track mobile commerce data?

Tracking mobile commerce data requires the use of tools that can collect, store, and process data from your mobile site or app. Google Analytics is a popular and widely used tool that provides comprehensive insights into your mobile commerce performance. With Google Analytics, you can track metrics such as mobile traffic sources, user behavior, user characteristics, and user segments. To use Google Analytics for tracking mobile commerce data, you must set up an account and install the tracking code on your mobile site or app. Additionally, you need to enable e-commerce tracking and set up goals and events to measure conversions and actions. Moreover, custom reports and dashboards should be created to visualize and analyze your mobile data. Finally, filters, segments, and dimensions should be used to drill down and compare your mobile data.

3 How to analyze mobile commerce data?

To analyze mobile commerce data, you need to use methods that can help you to interpret, understand, and act on your data. Descriptive analysis summarizes your data and shows trends, patterns, and averages. Diagnostic analysis explains your data and outlines causes, effects, and correlations. Predictive analysis forecasts your data and presents scenarios, probabilities, and outcomes. Prescriptive analysis recommends your data and suggests actions, solutions, and optimizations. To analyze mobile commerce data with these methods, you must define objectives and KPIs to measure progress; ask relevant questions to guide your analysis; use tools such as charts, graphs, tables, statistics, models, algorithms, and tests; and communicate findings in a clear manner with reports, dashboards, stories, and recommendations.

4 How to use mobile commerce data to improve your m-commerce strategy?

Using mobile commerce data to improve your m-commerce strategy is the ultimate goal of tracking and analyzing your data. You can use your data to identify and target customers with personalized offers, optimize and enhance your mobile site or app, test and experiment with different design elements, monitor and adjust your mobile marketing campaigns, and evaluate and benchmark your performance. To maximize the impact of your data-driven actions, you need to implement them on your mobile site or app and marketing channels, monitor their results on metrics and KPIs, and learn from the feedback to continuously improve your strategy.

5 What are some mobile commerce best practices and benchmarks?

Tracking and analyzing mobile commerce data effectively and efficiently requires following certain best practices and benchmarks. For instance, your mobile site or app should load within 3 seconds or less to avoid losing 53% of mobile visitors. Additionally, it should be easy to use and navigate, with simple and intuitive design, responsive and adaptive layout, and accessible and functional features. Furthermore, your mobile site or app should offer features that enhance user experience, such as search, filters, reviews, ratings, wish lists, cart, checkout, payment, delivery, tracking, support, and loyalty. Moreover, your mobile marketing channels should be optimized and integrated with your mobile site or app. Finally, your mobile commerce metrics should reflect your objectives and KPIs while being aligned with industry benchmarks and competitors. These metrics include: mobile traffic (number of visitors accessing the site/app through mobile devices), conversion (number of visitors completing a desired action/transaction through mobile devices), revenue (amount of income generated from the site/app through mobile devices), retention (number of visitors returning to the site/app through mobile devices within a specific period of time), and loyalty (number of visitors exhibiting loyal behavior on the site/app through mobile devices).

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?