Woopra’s People Reports allow you to quickly generate a view of the people engaging with your brand, across the custom metrics that matter most to you. Segment your report based on properties such as transactional history, recency, at-risk-of-churn, engagement and more. Then, add columns to create a personalized view that can be saved for quick reference and future use throughout the platform.
These reports allow you to easily answer questions like:
- Who are the people that are highly engaged in my product?
- Who has recently signed up from a Facebook Marketing campaign and what industry are they in?
- Who is using our latest product feature and where are they from?
People Reports are comprised of 3 sections: Timeframe, Performed By, and Columns.
This is the first metric you should choose. Here, the timeframe is the period in which Woopra will examine all your data of users that did at least 1 action during that time frame. You can choose today, last 7 days, last 30 days, last 90 days, last 365 days or any custom date range of your choice. The default date range is the last 30 days. We choose the last 365 days for this example.
Think of this step as the segment or group of people you'll be analyzing. Either select an existing segment or create a new one on the fly, by clicking the “+” button in the “Performed By” section of your configuration. More info on how to create a Segment can be found here: Segments
It is important to understand the Performed by timeframe configuration differs from the Timeframe configuration above. The Performed by timeframe will create a subset population of people from the Timeframe configuration section.
For example, let's take the following scenario -- You want to run a marketing campaign to target users that are currently active and also made a purchase on last year's Black Friday. First, you would set the Timeframe to the current month to select an initial group of ALL users that have performed at least one action in the current month. Next, under the Performed by timeframe, you select the action “purchased item” with the date for last year's Black Friday. Now, you will have a list of all active users from the past month that purchased an item last Black Friday. Typically the Performed by timeframe is less than or equal to the Timeframe configuration range.
Also here's a quick video explanation as well: https://share.getcloudapp.com/E0uzzAvP
Here you will select what columns you want to add to the report. Essentially this is what you want to group the results by. For example, you may want certain information on these users displayed such as emails, names or companies. You could select the properties that are the most relevant and important to your team.
People Metrics allow you to sum, count, or count unique the metric you are analyzing.
In addition, you can select 'Last Touch' which will show you the last time the did the action or the last property of the action.
To add a People Metric, you can click the plus on the Coloums row.
Use sum to answer questions such as, what's the total amount this customer has paid toward their subscription? Use count to understand questions such as, how many times has this customer logged in, made a payment or used a feature?
Whether you're a SaaS company, On-Demand Service, eCommerce or other vertical - use People Metrics to know how your users behave, engage and interact with your brand over time to build better customer experiences.
You can perform row-based operations by using formulas. Please see our documentation on Formulas here.
Now that you've built your report, you'll want to share it with your team. You can do this by clicking on the 3 dots / ellipsis which will open an options menu for exporting, sharing, tagging, pinning, duplicating and reloading your report.
Remember, reports are not shared with your team by default, so you will need to share it for others to access it. Click share from the menu and select what team you want to share your report with.
You can download the report in various formats: CSV, CSV (raw), PDF or HTML. Note that CSV (raw) will download some columns, such as average_session_length in total seconds. Exporting the regular CSV for these columns will download timestamps in a string format, e.g. 3 minutes, 21 seconds - 8 minutes, 20 seconds.
Updated about a month ago