Compare Mode in MoEngage Analytics enables you to compare your analyses with different elements, such as Time Series and multiple Segments. Rather than performing separate analyses for each insight, this mode allows users to utilize a single analysis to gain insights from multiple perspectives.
By leveraging the Compare Mode, you can gain a more comprehensive understanding of your data and draw actionable insights to improve your operations. This approach promotes efficiency, reduces redundancies, and ultimately drives better decision-making.
Time Series Comparison
Time Series Comparison allows the juxtaposition of critical metrics from past time duration. In contrast to examining performance indicators from a single period, this approach enables the comparison of data across multiple time intervals, providing a more comprehensive, contextual view of trends and performance. By gaining a deeper understanding of how metrics change over time, you can make informed decisions based on historical data, which, in turn, can lead to improved business outcomes.
When analyzing user engagement metrics for a product feature, comparing data from June to May can reveal patterns, growth trajectories, or emerging concerns. Hence, time-series comparison can offer:
- Contextual Analysis: Understanding metrics in the context of time adds depth to data. A spike in user activity might look impressive, but compared to previous months, it might reveal a declining trend.
- Swift Pattern Recognition: Comparing time series data can prove useful in identifying recurring patterns, particularly in relation to seasonal fluctuations in sales or user engagement. You can rapidly detect these patterns and gain valuable insights into the performance and behavior of your systems. It can help you to make informed decisions and optimize your operations.
- Data-Driven Forecasting: Data-driven forecasting enables proactive strategy adjustments by predicting future performance based on past trends.
Time Comparison on Behavior, Funnels, Retention, and Session & Source
After performing an analysis, click on the Compare to Past button at the top of your chart and select the duration you wish to compare to. You can also select a custom date range starting with or ending with to do a custom comparison equal to the baseline duration.
Let's look at an example...
After performing a Behavior Analysis, you want to compare the Total Events of App/Site Opened of the current week to last week.
Select on chart: Compare to Past -> Previous week
Line Chart:
Bar Chart:
In the case of Funnels, you will be able to visualize the conversion of the events for both the Current duration and Previous duration
The Retention Tables come with a default Comparative Overall Retention view. To access the Retention table for both the Current and Previous duration, just click on the Expand table option.
Note: Time comparison visualization is not present on Area and Pie charts.
Actionable analytics in time compare mode
Actionable Analytics can be performed only on the current duration.
When analyzing behavior and funnel analysis, simply click on the data point of the current duration line or bar to use actionable analytics. For retention analysis, use the retention table of the current duration and apply actionable analytics.
Segment Comparison
For instance, consider you're evaluating the behavior of two distinct user groups: those who made a purchase in the last month versus those who didn't. The Segment Comparison feature will allow you to analyze the differences and similarities between these two segments side by side. Furthermore, it offers:
- Holistic Understanding: You can gain a comprehensive understanding of patterns and anomalies by comparing different segments, a practice that can reveal insights that are often missed when analyzing a single segment. This 360-degree view is invaluable in making informed decisions.
- Optimization of Marketing Efforts: As a growth marketer, you can leverage this approach to optimize your marketing efforts by swiftly identifying underperforming segments, and directing resources and campaigns more effectively.
- Enhanced User Experience: As a product manager, you can utilize segment comparison to tailor product features for specific user groups, leading to an elevated user experience and enhanced user satisfaction.
Segment Comparison on Behavior, Funnels, Retention, and Session & Source
After selecting the events, click on the Add segment to compare in the Filter users section and select the segment based on User Property, User Behavior, User Affinity, or a Custom Segment.
You can select up to 5 different segments for comparison at the moment.
Let's look at an example...
After performing a Behavior Analysis with multiple segments, here's an example of output chart and table:
In the case of Funnels, you will be able to visualize the conversion of the events for all the segments selected for the analysis
The Retention Tables come with a default Comparative Overall Retention view. To access the Retention table for both the Current and Previous duration, just click on the Expand table option.
Note: Segment comparison visualization is not present on Area and Pie charts.
Actionable analytics in segment compare mode
Actionable Analytics can be performed on all segments selected during the analysis.
When analyzing behavior and funnel analysis, simply click on the data point of the current duration line or bar to use actionable analytics. For retention analysis, use the retention table of the current duration and apply actionable analytics.
Important Note: Currently, both Time comparison and segment comparison cannot be performed together.
Compare mode on custom dashboards
The Compare Mode functionality integrated within the Custom Dashboards of MoEngage Analytics offers the ability to juxtapose two distinct datasets, enabling you to compare Time Series or Segment data with ease. This feature eliminates the need to create separate reports for each dataset, thus streamlining the process and saving valuable time. By using a single report to gain insights from multiple angles, you can enhance your decision-making capabilities and expedite the process of generating actionable insights.
The custom dashboard contains charts and tables of Behavior, Funnels, Session and Source, and Retention.
- To perform a time series comparison on the custom dashboard, please perform the following steps:
Dashboard Filters -> Select Duration -> Select Previous Duration -> Apply
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To perform a segment comparison on the custom dashboard, please perform the following steps:
Dashboard Filters -> Click Filter users -> Select Segments -> Apply
Use-cases of Comparative custom dashboards:
- Campaign Optimization: When evaluating the impact of two different campaigns, the Time Series comparison offers a side-by-side view of their performance metrics. This direct comparison helps in identifying which campaign strategies are yielding better results.
- Audience Understanding: Segment Comparison is a boon when trying to understand audience behaviors. For instance, by comparing metrics of users acquired through organic search against those from paid campaigns, you can make informed decisions on budget allocation and strategy tweaks.
- Feature Adoption Analysis: With new feature rollouts, as a product manager, you can use Time Series comparison to analyze user engagement before and after the rollout, thus gauging the feature's success.
- User Behavior Insights: By comparing how different user segments interact with the platform, as a product manager, you can tailor experiences based on distinct user needs. For instance, if one user segment uses a specific feature more than another, those insights can be employed to optimize the product experience for that segment.
- Iterative Product Development: Segment Comparison in the Custom dashboard offers a dynamic view of how different user groups are reacting to changes. This continual feedback loop ensures that product enhancements align with real user needs.
To contact the MoEngage Support team, you can raise a ticket through the Support Web Form within the MoEngage dashboard. For more information, refer here.