Analysing the post-launch performance is crucial to ensure that your replatforming project is successful and meets the needs of your users. Even if everything seems to be working fine at the time of launch, there may still be issues that arise once users start using the new platform. By analysing and continuously monitoring the platform after launch, you can identify and address any issues that arise quickly, before they have a chance to cause significant problems or negatively impact users.
Here are some reasons why monitoring post-launch is important:
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Identifying and addressing issues by setting up technical and page monitoring: Even the best-planned replatforming projects can experience issues that arise once users start using the new platform. By monitoring the platform after launch, you can identify any issues that arise and address them quickly, minimizing their impact on users.
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Ensuring performance and uptime by monitoring load time and site speed post launch: You want to make sure the platform is performing well and is always available to users. Monitoring post-launch helps you identify any performance issues or downtime and allows you to take action to resolve these issues.
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Getting user data on key funnels and flows: Analysing you site post-launch can also help you collect data on user behavior and engagement, allowing you to make data-driven decisions to improve the platform and achieve your business goals.
Analysis guide for post-replatforming analysis
Dashboards
The first step is to take a critical look at the results of the replatform based on pre- and post-launch main KPIs progression. Using Dashboards to start, you can get a view of the session level metrics for each group.
1. If you haven't created a Dashboards, easily set one up using built-in templates. Access the 'Personalized Dashboards' tile in the 'Suggested for you' section on your Homepage or navigate to the Dashboards module. Begin with the 'Site overview' template for automatic population of your key metrics.
Learn how to create your first Dashboards and analyze your data using the Site Overview dashboard template.
2. Select the Comparison mode in the Analysis context. Then, apply the time period before and after the replatform launch for comparison. Key metrics to look at are:
- Revenue
- Conversion rate
- Bounce rate
Note down the answers to the following questions:
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Is there an impact on conversion and revenue?
- Are there any spikes or sudden drops of the bounce rate?
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Have a look at how the global metrics are tracking? Is the change improving in some indicators but not translating to an overall improvement in conversion? If so, you need to start analyzing why this is so. Now is the time to start really drilling down and make a deep dive analysis in the rest of the modules in Contentsquare.
Page Comparator
Page comparator is useful for getting an overview of different segments’ activity on a given page: Did it impact any of the key UX metrics on the page?
To begin your analysis, open the Page comparator and select the Comparison mode in the Analysis context . Then, select the two timeframes for comparison - before and after the launch. Next, favor the key pages you want to analyze and look at the following metrics:
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Check the exit/bounce rate of your key pages to figure out if the changes made are helping in retaining your visitors
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Look the load time to understand If the change had an impact on the loading speed of any of your key pages
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Apply different conversion goals (link those to the predefined objectives of key pages) to understand how the changes are impacting the micro conversions of your page: are your visitors now more likely to achieve the goal you’ve set?
Journey Analysis
Use the Journey analysis to understand if the replatforming has affected the key journeys on the site: Do the journeys differ in pre- and post-launch periods?
Open Journey analysis and in Comparison mode apply your two time periods: before and after the replatforming. By comparing the two Journeys from landing pages you can really understand:
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Where your visitors go after landing on your site? Are there any notable differences in the browsing journeys?
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Is the change aiding their overall navigation or disrupting their journeys by creating stumbling blocks? Are they seeing any unexpected pages (e.g., Error pages)?
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Is there any looping or unexpected journeys: are they more likely to loop back between any of your key pages or going through an unexpected path (e.g, from Checkout to Homepage)?
Zoning Analysis
How does interaction on elements on the page differ between the two versions? With the Zoning analysis you can get an in-depth understanding of the user behavior on the page.
Open the Zoning analysis, activate the Comparison mode by clicking on the Compare button. Change the default time frame to suit your analysis needs. Analyze the following metrics:
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Look at the click rate, attractiveness rate, engagement rate. Are previous attractive elements correlating to what you are seeing on new site? Have attractive elements become less exposed as part of the new design?
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Check how the hover rate, time before first click and click recurrence are trending. Did the change have an impact on interactions in any other way?
- Look at the conversation rate of the key elements of your page. Select the goal of your page as the conversion goal (e.g., ''Add to Cart' as the goal of the Product page, etc.). Are the users in the new site having an easier time finding what they're looking for?
Post-launch monitoring with Dashboardss
Dashboards allows you to track your key KPIs at a glance and in a panel-like interface.
Here you can learn more about Workpsace and how to setup your first Dashboards.
Here are the most common use cases for post-launch monitoring of a replatforming project.
Performance monitoring
A crucial step of the successful platform migration is the monitoring the performance of the new platform to ensure it is operating within acceptable performance levels. Tracking page load times and key KPIs will help you quickly identify and resolve performance issues and minimize downtime and prevent user frustration.
Here some of the key widgets to include in your Dashboards:
- Number of sessions
- Percentage of sessions
- Views/sessions
- Site and page Bounce Rate (or exit rate if in the funnel)
- Load time (use an “All pages” mapping)
- Ecommerce conversion rate
- Conversion rate for the page main goal: add to cart, passthrough rate, etc.
- Pass rate for each checkout/funnel step
- Load time of a chosen specific page and its impact on other key metrics such as conversion or exit rate (through a line graph)
- Any other KPI that you would like to monitor
Example of a Dashboards used for monitoring load time by using the following widgets: Line charts of 'Checkout load time vs Exit rate', ''Checkout load time vs Conversion', 'Cart load time vs Conversion', 'Cart load time vs Exit rate'
Tip. Use the analysis context bar to check the evolution and impact of load time on different devices or different segments based on browsers etc.
User behavior analysis
User behavior analysis is an important use case in post-launch monitoring of a replatforming project. It involves tracking user behavior on the new platform to gain insights into user engagement, satisfaction, and overall user experience. This can include monitoring user engagement metrics such as page views, click-through rates, and time spent on site, as well as the paths users take on the new platform, including which pages they visit and how they interact with the platform.
Here are some of widgets we recommend you to include in your dedicated Dashboards:
- Step completions and drop offs by using the Funnel widgets
- Key KPIs per each of the funnel steps that might explain performance issues (e.g., Bounce rate, Exit rate, Number/Percentage of sessions, Load time)
Example of a Dashboards over funnel performance of key user flows and page-specific KPIs that includes the following widgets: Funnel widgets of the upper and lower checkout flows, page-specific single widgets for 'Views per visit', 'Load time', 'Exit rate' and 'Time spent'.
Error monitoring
Error monitoring is another important use case in post-launch monitoring of a replatforming project. It involves monitoring the new platform for errors, such as broken links, missing pages, or error messages, and quickly identifying and resolving them to minimize downtime and prevent user frustration.
Here we recommend to focus on:
- The evolution of site-wide Reach Error page rate and Load time
- For every main page: Bounce rate, Load time, Number of visits, Exit rate, Ecommerce Conversion rate, Load time, Goal-related Conversion rate ( goal='Reach Error page')
In the above example, the Dashboards includes the following widgets: Line charts for 'Reach Error Page' rate and Load time rate, Page specific single value widgets for Bounce rate, Number of visits, Exit rate, Load time, Ecommerce Conversion rate, Goal-related Conversion rate for Reach Error Page rate.
Tip! Use the comparison mode to compare the data before and after the replatforming.