Using Segments as Dimensions in Analysis Workspace
- Topics:
- Segmentation
CREATED FOR:
- Beginner
- User
This video shows how you can compare and visualize segments by using them as a dimension in Analysis Workspace.
Transcript
Hey, everybody, this is Doug. In this video I want to show you how to use segments as dimensions in analysis workspace. And so even though segments are segments and dimensions are dimensions, I know, newsflash, segments can be used very much like dimensions in some cases. And that’s kind of the tip that I want to show you today. So as you would normally take a segment, let’s say this 11 to 20 days, and you can see that if I click on this little info bubble here, it is, you know, hits where days since last visit is greater than 10 and less than 21. So, when is the last time they came to your site is between 11 and 20 days. And so, I can take that and I can drop it of course, up here in the segment area. And that will, of course affect all, I’ll just drop it, all of my different visualizations and tables, et cetera, right? It affects everything. And usually that’s how you would use segments, I suppose. And you would have in the rows here of any given table, you know, different dimensions, whether that’s a product dimension, different products, different pages, these are the things that you would get from up here in the dimensions area. And so what am I talking about with segments as dimensions? Well, one of the things you can do, and I’ve brought in this empty table here, is you can actually put those segments into the table, just like you would dimensions. And so, for example, if I take that 11 through 20 days and just drag it and drop it in the main table here, then it treats it like a dimension, but instead of saying, you know, product or a page or whatever, it’ll say segments. Now let’s do a couple others. So if I say show all, I can grab a few other segments that were built the same way. So here’s my one to five days. I’ll add that by dropping it right here on top of segments, not to break it down by this one, but rather just to add it and you can see my little hint over there and that’s great. And I’ll do the same thing to add six to 10.
So I’ve got one to five, six to 10, 11 to 20, and maybe I’ll just add that 21 to 50 and I’ll drop that in there as well. And then we can kind of, you know, finish up the table the way that we want to show it. Maybe I want to sort that by those segments. So I’m going to` click on that so it just, you know, does that in order one to five, six to 10, et cetera. Maybe I’m going to grab something like page views. So I’ll just grab page views and drag that in here, instead of occurrence, I’ll replace that. And then maybe I even change this timeframe just to the last, you know, 60 days or something. Since I have that there, I can grab that and the last 60 days, apply it. And if you’re thinking that my numbers are kind of weird here, don’t forget that I actually applied that segment to the entire panel. And so the only reason why it has all my numbers in 11 through 20 is because yeah, 11 through 20 is here. So it’s limiting it to that, so let me get rid of that one. And then I have numbers for all those different time periods there. Now let me just add a couple more metrics into this table just to make a point. So I’m going to add visitors, so I’ll just type in visitors, unique visitors right there. And I’m going to put it right here and I’m going to add that one. I’m also going to put in revenue.
So, revenue’s coming in and I’ll put it after that.
Now, the reason why I did this is to show you that I have visitors up here and I wrote that, so I could have written unique visitors, same, same, page views, page views, revenue, revenue.
So, why would I do one of these or the other, in other words, should I just put a segment up here and look at these numbers, or should I put a segment into a table and add these numbers here in my columns? So beyond just saying, you know, whatever you want and however you want to look at the data, I will give you a couple of tips and that is first of all, if you want to, and these might be obvious, but if you want to look at a lot of different visualizations, if I scroll down, I have all these different tables and I’ve got different visualizations, I’ve got a fallout report and a donut and another table. If I have want to put one segment and apply it to all of these different visualizations, then I’m going to do it in the regular segment area here. I could also drop those segments in there as a dropdown. So let me show one more thing, of course, it’s kind of going beyond the scope of this, but let’s just say, I’ll just grab some that I have here available and I can grab all of those and I can bring them up here and press shift and create a dropdown and so now, and I could have done that for these four here as well. And just so you could go through them one at a time, you know, and select them one at a time, or even stack them and do these kinds of things here. But if I wanted to do you know, this kind of a thing, then that’s great. But if I just want to, let me get rid of those, that’s going to drive me crazy, of course. so I’m going to take a bunch of time here and get rid of those guys. But if you want to be able to have a quick glance at a few segments, multiple segments, and kind of just see how they compare to each other with some metrics here in my columns, then this is actually a really good way to do it. Treat them like a dimension, put them into a table like this and just take a look at these different numbers. Now, another way that we can treat a segment like a dimension, if I scroll down here to my products table, and I’m just going to grab, in fact, I better, not all five, but just grab one of these, visits from mobile devices. And in a lot of cases you would break down, you know, some dimensions by other dimensions. I might break down, you know, product by marketing channel or something like that, but I can also do that with a segment. So, if I grab this visits from mobile devices and bring it in here and say, “Well, what about this leather tote?” And I can break it down by that. Then it’ll show me the regular one and then also broken down by mobile devices. And it’s really kind of filtered by this segment. But again, it’s a breakdown. You’re breaking it down by this and you could break it down by multiple segments if you want. But that’s another way that you’re kind of treating this segment like a dimension. Now, going back up to this table that we built here of these segments as dimensions, I will also mention that you might be wondering, you know, when would I do it this way to compare these segments versus using a segment comparison panel, which is right here. And that way I can, you know, bring this over and compare segments as well. Well the difference is, in this case here with this table, I’m really doing some basic comparison of as many segments as I want, you can see here, of course, that I could drop any number of segments in there. But I’m really just kind of, you know, popping some metrics in here and taking a quick look at those. The segment comparison, which we’ll go deeper to in a different video will give you deep comparison between two segments. So if you have a couple of segments, you want to do a real deep comparison on, use this segment comparison panel. However, again, just to do a quick comparison of several segments, treat them like a dimension, pop them in a table and there you go, have a great day. -
Analytics
- Analytics tutorials
- Introduction to Analytics
- What is analytics
- What Can Adobe Analytics Do For Me?
- How Adobe Analysis Workspace Can Change Your Business
- It’s More Than Data. It’s Customer Intelligence
- Adobe Sensei and Adobe Analytics
- Customer Use Case - ServiceNow
- Customer Use Case - Accent Group
- Customer Use Case - The Home Depot
- Summit 2019 Super Session - Travel and Hospitality
- Summit 2019 Super Session - Retail
- Summit 2019 Super Session - High Tech
- Strategy & thought leadership
- Transitioning from other platforms
- Analytics Basics
- Customizing the UI
- Getting Help
- Analysis Workspace
- Analysis Workspace Basics
- Analysis Workspace quick intro
- Analysis Workspace overview
- Navigate the new landing page
- Start your analysis with a pre-built report
- Building a Workspace project from scratch
- Create and manage custom templates in Analysis Workspace
- Understanding how data gets into your Analysis Workspace project
- Foundational metrics in Adobe Analytics
- Component management in Analysis Workspace
- Selecting a report suite in Analysis Workspace
- View Analysis Workspace performance metrics
- Create bot reports
- Tips and Tricks
- Navigating Workspace Projects
- Data Dictionary in Analysis Workspace
- Starting your first project
- Training tutorial template
- Use folders in Analysis Workspace
- Copy and insert panels and visualizations
- Create a table of contents
- Right-click for Workspace efficiency
- Keyboard shortcuts
- Annotations
- View density
- Use filters
- Use multi-select drop-down filters
- Real-time reports
- Using Panels
- Using Tables, Visualizations, and Panels in Analysis Workspace
- Quick Insights Panel in Analysis Workspace
- Using the Attribution IQ Panel
- Media Concurrent Viewers Panel in Analysis Workspace
- Media Playback Time Spent Panel
- Using Drop-down Filters
- Using Panels to Organize your Analysis Workspace Projects
- Choose segments for a panel
- Multiple Report Suites in Analysis Workspace
- Next/Previous and Page Summary Workspace Panels & Reports
- Understanding attribution panel and lookback windows
- Building Freeform Tables
- Understand your data–freeform tables
- Use the left rail to build freeform tables
- Easy drag and drop to blank projects
- Work with dimensions in a freeform table
- Work with metrics in a freeform table
- Row and column settings in freeform tables
- Freeform table totals
- Use the freeform table builder
- Right-click for workspace efficiency
- Reorder static rows
- Use Attribution IQ in freeform tables
- Cross-sell analysis
- Freeform table filters
- Time-parting dimensions
- Visualizations
- Visualization types and overview
- Visualization use cases
- Data visualization playbook
- Getting data into visualizations
- Using component drop-downs in Workspace
- Area and area stacked visualizations
- Bar and bar stacked visualizations
- Bullet graph visualization
- Donut visualization
- Histogram visualization
- Unlocking insights with histograms
- Line visualization
- Combo charts
- Adding trend lines to line visualizations
- Map visualization
- Summary number and summary change visualizations
- Key metric summary visualization
- Text visualization
- More than words - Using text visualizations and descriptions
- Scatterplot visualization
- Treemap visualization
- Venn diagram visualization
- Use the cumulative average function to apply metric smoothing
- Flexible layouts
- Changing the scale/axis on visualizations
- Dimension-graph live linking
- Set the granularity for visualizations
- Link inside or outside of your project
- Customize visualization legends
- 100% stacked visualizations
- Table and visualization data source settings
- Build a time-parting heatmap
- Analyzing Customer Journeys
- Applying Segments
- Apply segments to your Analysis Workspace project
- Apply ad hoc segments
- Use different Attribution IQ models with segments
- Choose segments for a panel
- Use segments as Dimensions in Analysis Workspace
- Use segments to limit data in Analysis Workspace
- Quick segments in Analysis Workspace
- Building Customer Journey Segments
- Building Customer Journey Segments - Part 2
- Metrics
- Dimensions
- Calendar and Date Ranges
- Curate and Share Projects
- Attribution IQ
- Using Cross-tab Analysis to Explore Basic Marketing Attribution
- Adding side-by-side comparisons of Attribution IQ Models
- Attribution IQ in Calculated Metrics
- Using Attribution IQ in Freeform Tables
- Using the Attribution IQ Panel
- Using different Attribution IQ models with segments
- Algorithmic Model in Attribution IQ
- Custom Look-back Windows in Attribution IQ
- Cohort Analysis
- Cohort Analysis in Analysis Workspace
- Understand your data–Cohort Tables
- Overview of Cohort Tables
- Cohort Table Settings
- Churn Analysis with Cohort Tables
- Cohort Analysis Using Any Dimension
- Latency Analysis with Cohort Tables
- Calculate Rolling Retention in Cohort Tables
- Use Cohort Analysis to Understand Customer Behavior
- Voice Analytics
- How to Manage and Track Your Voice Assistant App Data
- Understand Differences Across Voice-Enabled Devices
- Finding Opportunities To Increase Engagement for Voice Apps
- Reducing Error Rates and Improving Success Rates in Your Voice App
- Understand User Behavior on Voice Assistants
- Understanding the User’s Voice Journey
- Analysis Workspace Basics
- Administration
- Key Admin Skills
- Creating an empowered community
- Simplify and spend less time training users
- Getting the Right People on Your Analytics Team
- Gaining a seat at the table
- Telling impactful stories with data
- Translating Adobe Analytics technical language in a non-technical way
- Working cross-functionally
- Are you asking the right questions?
- Admin Tips and Best Practices
- Download the implementation playbook
- Audit your data dictionary
- Create standardized naming conventions
- Create standardized code templates
- Create basic videos and training
- Create an internal Adobe Analytics site
- Use a global report suite
- Create a news & announcements project
- Drive success with executive summary dashboards
- Create Operational Dashboards
- Company Settings
- User Management
- Manage Report Suites
- How to Configure General Account Settings
- Customize Calendar Settings
- Configure Paid Search Detection
- Set up marketing channels
- Create marketing channel processing rules
- Manipulating incoming data with Processing Rules
- Configuring Traffic Variables (props)
- Configure traffic classifications
- Configure hierarchy variables
- Configuring Variables in the Admin Console
- Configure conversion classifications
- Configuring List Variables
- Configure Finding Methods
- Set Internal URL Filters
- Configuring Zip and Postal Code Settings
- Enable the Timestamp Optional setting
- Configure bot rules in Analytics
- Data Governance and GDPR
- Traffic Management
- Logs
- Key Admin Skills
- Implementation
- Implementation Basics
- Experience Platform Tags
- Implement Experience Cloud solutions in websites using Tags
- Basic configuration of the Analytics extension
- Configure library management in the Analytics extension
- Configure general settings in the Analytics extension
- Configure global variable settings in the Analytics extension
- Use custom code in the Analytics extension
- Use a data layer to set variables
- Use doPlugins and implementation plug-ins
- Configure easy download link tracking
- Configure easy exit link tracking
- Prepare Tags for your Analytics implementation
- Create data elements for the Analytics implementation
- Create a global page load rule
- Validate the global page load rule
- Create rules for special pages
- Create rules for success events
- Publish Tags libraries to stage and production
- Using JavaScript
- Components
- Segmentation
- Segment builder overview
- Finding and creating segments
- Rolling date ranges in segments
- Segment comparison in Analysis Workspace
- Segment containers
- Segment management and sharing
- Applying segments in Analysis Workspace
- Using segments as dimensions
- Using segments to limit data
- Differences between the segment builder and quick segments
- Sequential segmentation
- Before/After sequences in sequential segmentation
- Segmentation on distinct dimension counts
- Dimension models in segmentation
- Use ‘equals any of’ in segmentation
- Analytics Insider Webinar - Customer Segmentation Strategies
- Now just wait a segment… Using segmentation to discover new insights
- Calculated Metrics
- Calculated metric builder overview
- Calculated metrics - implementation-less metrics
- Calculated metrics - segmented metrics
- Calculated metrics - functions
- Approximate count distinct function in calculated metrics
- Quick calculated metrics in Analysis Workspace
- Manage your calculated metrics
- Attribution IQ in calculated metrics
- Use dimensions in calculated metrics
- Take your data analysis to the next level with calculated metrics
- Classifications
- Virtual Report Suites
- Activity Map
- Segmentation
- Additional Tools
- Exporting
- From the UI
- Data Warehouse
- Data Feeds
- Report Builder
- Upgrade and reschedule workbooks
- Add Segments to Multiple Requests at Once in Report Builder
- Anomaly Detection in Report Builder
- Edit Metrics across Requests
- Using Report Builder to learn the Adobe Analytics API
- Get started with Report Builder
- Schedule a Report Builder request
- Use Report Builder advanced delivery options for Power BI
- Integrations
- Experience Cloud
- Audience Manager
- Target
- Adobe Advertising DSP
- Configuring Advertising Analytics
- Implementing tracking templates into search engines
- Introduction to the Adobe Advertising DSP integration
- Create a Pre-launch campaign analysis
- Report on Advertising DSP marketing channels
- Create Analytics site journey profiles
- Create Analytics segments for activation and reporting
- Create Advertising DSP alerts with Adobe Analytics
- Create Analytics custom metrics with Advertising DSP data
- Create Advertising DSP site entry reports
- Create Advertising DSP dashboards
- Ad Hoc Analytics
- Power BI
- Magento
- Data Science
- Vertical-Specific
- Media Analytics
- Mobile App Analytics
- APIs
- Analysis Use Cases