Analyzing Web In-line Overview

Once you have launched a few Web Personalization campaigns through the channel or journeys, you will be able to analyze their collective impact on user engagement, conversions, and revenue through Web Personalization Overview.

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What Kind of Data is Shown Here?

You will see cumulative stats based on user-campaign interactions that occur within the selected time frame.

How to Access

As shown below, this section can be accessed from the central hub of Web Personalization by selecting Overview from the navigation bar.

Define the Time Frame of Analysis

By default, Web Personalization Overview shows you the overall impact of all the Web Personalization campaigns for the Last 7 days against key performance indicators like Reachability, New Users, Revenue, Users Engaged and so on.

As shown above, using the filter placed on the top right, you can choose to analyze the channel's performance for the following durations:

• Yesterday
• Last 7 Days
• Last 30 Days

How to Analyze

Now, let's show you how you can analyze Web Personalization Overview to gain valuable insights into the channel's impact on user engagement, conversions, and revenue.

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Get all this data in your inbox!

You can analyze the collective impact of all Web campaigns by scheduling reports for your entire team! Head over to Settings> Scheduled Reports in your dashboard to set it up.

Overview

This section provides a comprehensive overview of the channel's performance against broad metrics like Channel Reachability, New Users added, Users Engaged, and Total Revenue generated.

Let's go over each card:

Users Engaged

Indicates unique users that have received at least one Web Personalization campaign within the selected time frame. If a user receives multiple Web Personalization Banners, then they will be counted towards the total number of Users Engaged only once to avoid double counting.

Total Impressions

Indicates the total number of times users have viewed your Web Personalization Campaigns within the selected *time frame.

Unique Clicks

Indicates the number of users who have clicked on the Personalized Web Element at least once after viewing it, within the selected *time frame.

Revenue

Indicates a sum of the revenue generated by the Total Conversions tracked for all the Web Personalization campaigns within the selected time frame.

Revenue numbers are always shown in the currency selected by you while setting up Revenue Mapping.

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Please Note

If you have not specified a Conversion Event for a campaign while creating it, or if the specified Conversion Event is not mapped as a Revenue Event, then Revenue will not be tracked for it. Detailed read on how Revenue Tracking works.

Campaign Tag Performance

Tags is a handy feature that helps you categorize your campaigns as per their end-goal, target audience, frequency, engagement strategy, and so on. While tagging is optional, we highly recommend that you do so while creating a campaign as:

• It enables you to analyze the overall impact of specific campaign categories on driving user engagement, conversions, and revenue.
• It enables you to compare the performance of campaigns categorized under each Tag and identify the most effective category.

As highlighted below, you can choose to analyze engagement trends for each Tag (campaign category) defined by you to gain granular insights.

Let's discuss the columns under the tags:

• Tags: Shows the tags that have been created for various campaigns. The tags are shown in descending order, with the highest performing tag on the top.

• Impressions: Indicates the number of times users have seen a campaign within the selected time frame for the chosen campaign type.

• Campaigns: Total campaigns sent within the selected time frame for the chosen campaign type.

• Conversions: Unique users who performed conversion within the campaign's conversion deadline and the selected time frame for the chosen campaign type.

• Revenue: Total revenue generated through all the conversions that occurred within the selected time frame for the selected campaign type.

Campaign Comparison

The most insightful section of Web Personalization Overview, Campaign Comparison helps you analyze the collective impact of all your campaigns and identify trends of user-channel interactions against key metrics, split by campaign types.

It has been divided into two subsections to facilitate multi-dimensional analysis:

• Top Panel
• Graph

By default, Campaign Comparison shows you the overall performance of all Web Personalization campaigns for the selected time frame. You can further customize the data by selecting a campaign Tag.

Here's how you can go about it:

Select Tag

Tag is a handy feature that helps you categorize your campaigns as per their purpose, target audience, or any other parameter that makes them easier to locate. As highlighted above, you can choose to view a specific group of Web Personalization campaign by selecting a tag from the dropdown.

Let's get you acquainted with this section:

Top Panel

Here you can analyze the performance of Web Personalization as a channel against broad metrics and collect valuable insights.

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Analyzing Channel Performance

In the visual above, we have analyzed All Web Personalization campaigns for the Last 30 Days as a Funnel. We can see that 21 Campaigns were sent to all users, out of which 0.07% users converted (Unique Conversions) and contributed € 14,096 in Revenue.

This means that:

• Each campaign contributed € 671, on an average.

Such insights not only help you gauge ROI but also help determine the viability of engaging users through the channel in the long run.

Let's quickly go over the performance indicator shown here:

Campaigns: Indicates the total number of campaigns sent within the selected time frame for the chosen campaign type.

Unique Impressions: Captured from your user's device, it indicates the number of times users have seen a Web Personalized message within the selected time frame for the chosen campaign type.

Unique Clicks: Calculated against Impressions, it indicates the percentage of users that have clicked on a Web Personalization campaign within the selected time frame for the chosen campaign type.

Unique Conversions: Calculated against Impressions, it indicates the percentage of users that have performed the Conversion Event of a Web Personalization campaign within its Conversion Deadline, in the selected time frame, for the chosen campaign type.

Revenue: Indicates a sum of the revenue generated by the Total Conversions tracked for all the Web Personalization campaigns within the selected time frame for the chosen campaign type. Detailed read on how revenue tracking works.

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Related Read

Please refer to [Campaign Performance Indicators](web-personalization-performance-metrics for a comprehensive list of all the metrics tracked for Web Personalization campaigns.

Select a Data Format (Optional)

Using the overflow menu highlighted below, you can choose to analyze Clicks and Conversions as a numerical value (by selecting #) or as a percentage value (by selecting %).

Graph

Here you can analyze the correlation between Unique Impressions, Unique Clicks, and Unique Conversions, and Revenue as trend graphs, split by days, for the selected time frame and campaign type.

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Analyzing Web Personalization Impression, Click and Conversion Trends

In the visual above, we have analyzed the performance of Triggered Web Personalization campaigns over the Last 30 Days.

It reveals that;

• The highest number of Unique Conversions occurred on February 18.

• The lowest number of Unique Conversions took place on March 12.

This data will let you understand which Web Personalization Campaign led to the highest conversion in the last 30 days.

We will need to dig deeper into the following aspects to find our answers:

• How many Web Personalization Banners were sent on these days?

• Who was the target audience of each campaign?

• What were the campaigns about? (message, layout, links, campaign type, and so on)

• Did all these campaigns have a Conversion Event attached to them? (If a Conversion Event was not specified while creating the campaign, then conversions will not be tracked for it. This is an important factor that could skew your insights.)

Select the Format of Visualization (Optional)

Lastly, while the default format of visualization is a Line Graph, using the overflow menu highlighted below, you can choose to analyze data as a Bar Graph.

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Why do I see 'No Data to Display' in this section?

The message indicates that campaigns of the selected type do not exist. This usually occurs if:

• The campaigns were deleted
• No campaigns were sent within the selected time frame
• No data was tracked for the selected campaign type within the chosen time frame

For example, let's say that you select Journey as the campaign type and choose to analyze the user-channel interactions that occurred Yesterday.

However, instead of data, you are shown No Data to Display. This means that no data was collected for Journey Web Personalization campaigns within the selected time frame, indicating that the respective journeys have been Paused or Stopped.

Control Group Report

This section indicates overall campaign performance v/s control groups for the campaigns where either Universal or Custom control groups have been added.

Based on the 'Conversions' in your Target Group (users who were not part of the CG) and the selected Control Group, you will be able to see the overall Uplift (or downlift) that your campaigns are having. Conversion Uplift is calculated using this formula:

Conversion Uplift = [(Unique Conversion Rate of TG/ Unique Conversion Rate of CG) x 100] - 100

In addition to conversion uplift, you can also calculate the revenue increment through Revenue and Order Uplift.

Formula to calculate Revenue Uplift :

• CG projected total revenue = CG(Total Revenue / Total Sent Count) X TG Total Sent Count
• Revenue Uplift (absolute value) = [TG Revenue - CG Revenue (Projected to TG Volume)]
• Revenue Uplift %= [TG Revenue / CG Revenue (Projected to TG Volume) X 100] - 100

Formula to calculate Order Uplift

• Order Uplift (absolute value)= (TG Order Rate - CG Order Rate) X TG Total Sent Count
• Order Uplift % = (TG Order Rate / CG Order Rate X 100) - 100

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Please Note

• Control Group report is Visible only when you have created a Universal Control Group or Custom Control Group. Click here to learn how to create one.

• Campaigns in which a conversion event is added and selected control group is attached along are only taken into consideration for this analysis.

Engagement Trends

This section helps you analyze user engagement trends for all Web Personalization campaigns against the most crucial performance indicators - Impressions, Clicks, and Conversions. (List of all Performance Indicators tracked for Web Personalization campaigns)

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Analyzing Web Personalization Engagement Trends

In the visual above, we have analyzed Impression, Click, and Conversion trends for the Last 30 Days.

It reveals that:

• Impressions, Clicks, and Conversions seem to be distributed evenly across various time slots throughout the week - indicating that the time of sending the Web Personalized banner has little to no impact on user engagement.

• The Impression trends clearly show spikes on Wednesday, Thursday, and Friday - making these ideal days to engage users.

• However, Click trends seem to be high on Monday followed closely by Thursday. We will need to dig deeper into all the Web Personalization campaigns triggered on a Monday and Thursday over the last 30 days to understand this behavior better.

• Interestingly, Conversion trends show spikes on Monday.

  • This indicates that Web Personalization Banners triggered on a Monday inherently enjoyed higher conversion rates than the other days.

  • Monday and Wednesday emerges as the best days to engage users with Web Personalized campaigns, given the high Impressions and Conversions recorded on the day.

Now, let's get you acquainted with the various metrics shown here:

Impressions Against Days and Time: Indicates Impression trends for each day of the week against the following durations, for the selected time frame:

• 12 am to 4 am
• 4 am to 8 am
• 8 am to 12 pm
• 12 pm to 4 pm
• 4 pm to 8 pm
• 8 pm to 12 am

Clicks Against Days and Time: Indicates Unique Click trends for each day of the week against the following durations, for the selected time frame:

• 12 am to 4 am
• 4 am to 8 am
• 8 am to 12 pm
• 12 pm to 4 pm
• 4 pm to 8 pm
• 8 pm to 12 am

Clicks against Device Type: Indicates Unique Click trends for the selected time frame, as per the devices (mobile, tablet) on which the users received your Web Personalized Banner.

Conversions Against Days and Time: Indicates Unique Conversion trends for each day of the week against the following durations, for the selected time frame:

• 12 am to 4 am
• 4 am to 8 am
• 8 am to 12 pm
• 12 pm to 4 pm
• 4 pm to 8 pm
• 8 pm to 12 am

Download & Schedule Reports

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Please Note

Reports can be downloaded and scheduled by only those Admins that have access to Account Management. If you're unable to do so, then please get in touch with your account owner.

Here's how you can obtain a report to analyze the performance of multiple Web Personalization campaigns over a specific time frame:

Downloading a Report: As highlighted above, click the Download icon placed on the top right to obtain a copy of performance stats for all your WhatsApp campaigns for a specific time frame. Here's a step-by-step guide.

Scheduling a Report: As highlighted above, click the Schedule icon placed on the top right to have performance reports delivered periodically to your and your teammates' inbox. Here's a step-by-step guide.

We hope this gives you a good idea of how you can analyze the collective impact of all your Web Personalization campaigns on user engagement and revenue. Please feel free to drop in a few lines at [email protected] if you have any queries. We're always just an email away!