Use analytics to visualize your People data and gain insights into profile behavior and visitors to your site.
Learn more about how to perform audience segmentation based on people's behavior, and which metrics are currently available for this. Or, you might decide to analyze funnels based on user activities and their profile information.
Leverage website visitor insights to see how your website visitors convert to leads and customers.
The prerequisite is to have customer profiles integrated with the People module and events set up. To track customer actions happening within the Infobip products, enable internal events on the Events page in the People module. For events coming from other systems, define the external event and then integrate it with the platform in question.
Events Segmentation Analytics
This basic type of event analytics serves to allow users a better insight into their audience. Events Segmentation has three core blocks:
- Selecting segments
- Selecting events to show
- Events data visualization
Behavior data helps you better understand how your audience interacts with an app or a website. The audience segmentation lets you dig a little deeper and see the difference in that behavior. The segments are based on the person attributes - static data related to each end user whose information is stored in the People module. This is usually some very current information that is likely to change in the future.
The segments that have been created earlier can be used again. Click Add Segment and the right-side panel will appear.
If you don’t find what you need in the existing segments list, the other option is to create a new segment for your report.
Up to 4 segments can be created in the Event Segmentation analytics. The image below displays a basic 2-segment scenario.
Select Events to Show
Events reflect user actions inside an app or on a website. Events Segmentation analytics can display up to 4 different events on the user activity graph.
On the Events Segmentation page, scroll down to Select events to be shown on graph and decide which events you want to include.
Events Data Visualization
Click the +PROPERTY link to set the event properties. When you include properties, the graph will also contain certain conditions that have been met and are related to that event. Take a music streaming app as an example: if you select the Song Played event only, the graph will show how many people listened to the songs., and if you include a song genre or name, the graph will show how many times people listened to the specific genre or song.
The data related to the event will be shown as a line graph chart. When you’re done specifying segments and events that should appear on the graph, click RENDER GRAPH.
Remember to select a time period that you would like visualized (modify this later if you need to). Choose the last 7 days, last 30 days, this week, previous week, or a custom range that you define yourself. You can also get information for different periods within your set timeframe. For example, if you need a weekly graph, but also want to see daily data, select Daily too.
Four metric types are currently available on the Events Segmentation page:
Events metrics show the number of selected events that happened on a specific date. You will get a better idea of whether the users` amount of activity aligns with the goals you have set for your product.
To understand how many people performed specific actions within different time frames, turn to the People metric.
The Adoption metric reveals whether certain parts of the app’s functionality are being used by your audience or a specific audience segment. Keep in mind that the best practice would be to set up a segment of people based on the registration date. You can select a segment of people who registered in May and then check out the report for Adoption related to the months following the registration and to the most important features that you have. If you are going to use the Adoption metric without a registration-based segment, you may get incorrect information because the audience will include new users who were not able to perform any actions before they registered!
The Engagement metric helps you understand how many actions are generated by one person on average. If you are trying to inspire your audience to perform many actions during the day, this report will uncover whether there is a growth or decline in engagement. As with the Adoption metric, you will need to select a segment of people based on the registration date. Otherwise, calculations will include 'new' users who simply could not have performed any actions before the registration!
A sequence of user actions on your website or mobile app tracked with Funnel Analytics shows how different audience segments behave so you can better adapt your engagement strategy.
Let`s take user activation as an example. Activation often means that a customer goes through a number of steps before realizing that a specific product is something they need. The ultimate goal of marketing teams is to encourage more customers to reach that realization and complete the funnel. Before you are ready to analyze the funnel data and adapt campaigns accordingly, you need to have the customer information stored inside the Infobip People module and be able to track events.
Next, in the People module on the Infobip web interface, select Funnel Analytics and do the following:
- set up an audience segment or use the whole audience
- select the sequence of events that represent your funnel
- specify conversion window (the adequate timeframe for the funnel)
- specify the timeframe for funnel calculation
We will quickly go through each step, and then you can go ahead and start analyzing and adapting your strategy!
Calculate a funnel either for all the people you have or for certain audience segments. Up to 2 segments can be used in funnel analytics. To specify the segment, select the existing standard attribute (such as country, city, etc.) or create a custom one.
Segments are helpful if you believe that certain groups of your audience might be completing the funnels differently. If that`s the case, you will need to figure out the reasons and how to make your ‘lower performing’ users convert at the same rate.
You can use the existing segments or create new ones for this report.
Events in Funnel
The next step is to define the funnel. Think about what sequence of user events has to happen for the funnel to be completed. This order of events is important, and it can`t involve any ‘optional’ in-between steps. Keep in mind that you can include up to 7 events in one sequence.
Imagine an example case with the user registration as the starting event and consider a possible timeframe for the entire sequence: Registration - 12:05pm; Watch video - 12:10pm; Payment for full video - 12:30pm.
The screenshot below shows how to set up events that you will include in the funnel.
Define an approximate amount of time that will pass between the first and last step in the funnel. For example, you can set the conversion window to 15 minutes, as we just did for the Registration - Watch Video - Payment for Full Video sequence.
If all the steps are not completed within 15 minutes, the funnel will show a drop-off.
Calculate the Funnel
To record one unique person within a given timeframe and a given conversion window, the whole funnel should happen. If it happens successfully at least once without drop-offs, then for that person the funnel is marked as complete. If that person enters the funnel multiple times but has at least 1 complete funnel, this still counts as a success and all other entries will be disregarded.
Pick a specific timeframe for the funnel calculation. But consider the fact that your app/website evolves constantly and the same is true for your acquisition efforts and communications strategy. That also means that the behavioral pattern of your users from six months ago may not match the present one.
When you are ready, click Render Graph. You will see the data breakdown for both People and Events.
Breakdown by the number of people
The resulting graph will reflect the funnel that you have specified. The number on top of the bar represents the percentage of people that have arrived at each specific step in the sequence.
Hover over the bars to see both the percentage of people who reached the specific step and of those who dropped off from the previous step, as well as the exact numbers for both.
Breakdown by events
Once the first step happens, that’s when each new funnel starts. The data displayed on the top of each step in the sequence takes into consideration the events that have reached that specific step. But, same as with the Breakdown by the number of people, when you hover over the bars, a pop-up will appear showing the percentage of people who reached the specific step and who dropped off from the previous step, as well as the exact numbers for both.
This graph is helpful when you want to understand, for example, how many sequences were started but not finished, which events in the funnel might need improvement, etc.
Table View and Tags
The information from the graph can be shown in the table view as well. There, you will find both exact numbers and percentages. On the image below, the values in the segment columns show the number of people that arrived at the specific step from the previous one.
There is one additional feature in the "Performed by the number of people" table view: you can add a tag to some group of people from the funnel so that later you can use it for communications or further analytics. Hover over the exact number and click the tag icon that will appear next to the exact number. On the pop-up menu, select the existing tag or create a new one.
Tagging will help with future communication or analytics in situations when you want to select this specific group of people.
The Events Segmentation or Funnel Analytics reports can be saved and available to you at any time so you can see the data about the events and customer conversion. This information should help you plan and prepare for future campaigns.
View all the presets together, or select only the Event Segmentation or the Funnel Analytics ones. Duplicate and reuse the preset instead of building a new one every time. If you are sure you won`t need the same preset again, delete it.
Website Visitor Insights
Visitor insights give you a better understanding of how visitors get converted to leads and customers for your website.
Website browsing events are automatically saved to person profiles so you can filter and segment your audience to personalize the customer journey and create bespoke engagement strategies. Use website visitor analytics to visualize and analyze these trends.
Filter website visitor insights by date and then export the data or segment your audience into more appropriate groupings for your requirements.
Profile Type Conversion
View the conversion statistics for changes to a person profile type as they are converted from anonymous visitors to leads and then customers. We track events that naturally lead to profile type conversion, such as creating an account on the website or purchasing an item from the webshop.
Anonymous Visitors to Leads Conversion
Number and percentage of anonymous visitors who have been converted to leads during the selected time frame.
Leads to Customers Conversion
The total number of customers converted from leads during the selected time frame.
Total visitors shows the total visitor audience by date and split by all person profile types, anonymous visitors, leads, and customers. Data can be grouped by day, week, and month.
The percentage indicator below the total number of visitors shows the % change (increase or decrease) in visitors versus the previous period.
The calculation for % growth is ((this month visitors - last month visitors)/last month visitors) * 100.
So, if there are 1200 visitors for the last 7 days and there were 1000 visitors during the previous 7 days, then the growth will be 20% using the calculation ((1200 - 1000)/1000) *100.
New vs. Returning Visitors
This graph shows how many new visitors and returning visitors visit your site in a given time period (daily, weekly, or monthly).
New visitors are classed as site visitors who have not been identified as a known person (i.e. someone who has visited the site before the selected time period) and they do not have a person profile in People. You will generally find anonymous visitors are classed as new visitors since leads and customers will have visited your site in the past and interacted with it in some way such as completing a form or creating an account.
Returning visitors are site visitors who have already had a page view event before the selected time period. They could be anonymous visitors, leads or customers depending on what stage they are in the customer journey,
Returning Visitors by Profile Type
Use this graph as a returning audience breakdown to see who returns to your website the most.
- Returning anonymous visitors
- Returning leads
- Returning customers
- Total count of page view events for the page during the selected time period.
- Visitors (Sum of all profile types)