Activity Map overview in Adobe Analytics
- Topics:
- Activity Map
CREATED FOR:
- Beginner
- User
Learn about Activity Map, a tool to help you visualize user activity data directly on your web site. See the number of clicks or other metrics directly on the links of your page.

Transcript
Hi, I’m Ben Gaines with Adobe Analytics Product Management. And in this video, I wanna walk you through the new Activity Map tool, which is a browser plugin that lets you visualize user activity data directly on the pages of your website. In the past you may have used or heard of the ClickMap tool. And Activity Map is sort of an evolution of that original ClickMap tool with a bunch of great new functionality that we’re really excited to get into your hands as of the spring 2016 Adobe Analytics release. So here we’re looking at Adobe.com, which of course is my company’s homepage. And we’re looking at a bunch of very fake data so don’t read really anything into the data that you see on here. But what you should notice is that we have these graphical overlays on top of each link on the page telling us the number of clicks that have occurred on each link during the date range that I have selected, which as you can see here is April 14th. And I could change that to anything that I wanted to. I can, one of the great new features of Activity Map is that I can replace the clicks metric with any of my standard or calculated metrics from any of my report suites in Adobe Analytics. You can see I’ve got a tremendous list here to choose from. I’m actually going to leave it on clicks at this point only because the data doesn’t actually, the data is faked and doesn’t actually refresh when I change the metric. But as you can see, I could choose from any of my metrics. The great thing about that is that it allows me to very easily see the downstream impact of a certain path that a user might take. I may notice that a link on my homepage generates a lot of downstream revenue. That can clue me in to some things. I can start using some of the other data and segments in Adobe Analytics to start to understand why that might be the case. Speaking of segments, those are here in the Activity Map plugin as well. I can use any of my segments from anywhere in Adobe Analytics. I’m gonna go ahead and apply a first-time visits segment here. Again, the data won’t actually change but you can at least get the idea.
And there you have it. Now, sure enough, the data hasn’t actually, the data actually has changed a little bit but not in a particularly meaningful way because this is all of course very fake. I can control the view here. I can either view gradients or I can view bubbles which just are a different way of visualizing the clicks. I can actually click on any of these bubbles or on the overlays themselves to get some more detail about the link in question, the link that I’ve clicked and chosen to view some more detail on. One of the most interesting and exciting things about Activity Map is that there is sort of a standard mode that’s very similar to Adobe Analytics, the rest of Adobe Analytics, in the sense that you choose a data range and metrics and segments. There’s also a live mode, which provides access to real-time click data. Again, the data is not real and it doesn’t change very much when we apply the live mode in this demo environment. But what you can see is that we have a very granular view of the number of clicks that took place on this page over the last 15 minutes. I can view that last 15 minutes minute by minute or I can go all the way up to last 120 minutes in 10-minute increments. With the live mode, the only metric that I have to choose from is clicks at the moment but for viewing particularly in the case of publishers with maybe a homepage and you wanna see what links on that page are getting clicked over the last 15 minutes so that you can optimize that layout and swap out old links that are no longer of interest. This is a great tool and a great way to do it. You’ll see it just refreshed because we just got a new minute of data that’s available to us now. And so the data has sort of reloaded to show us the most recent rolling 15 minutes here in Activity Map. I’m gonna switch back to standard mode and show a couple of other things in here. If I click this icon, I get some great contextual data right here on this page. I can see each link on the page. They’re all listed here. So I get sort of a tabular view of my Activity Map data. The other thing that I can do is switch over here to page details and I get a Sankey diagram showing where people came from to get to this page and where they went afterward. I can start to pick out possibly trends with where this page fits in a user’s path or a customer’s journey. I also get a bunch of summary data about this page, metrics that I’d have throughout the rest of Adobe Analytics like number of single page visits, average time spent on this page, and so on and so forth. I can download all of this data by clicking the download button as well. To get the new Activity Map plugin all you need to do is there will be a new version of the AppMeasurement JavaScript code, version 1.6. Any version 1.6 or newer will install Activity Map when added to your implementation. If you’re using Adobe DTM, this is a very simple process. You just choose the latest version of the code from the dropdown if DTM is managing your implementation. If not, then you’ll need to go to the admin console in Adobe Analytics, get the code, and install it in your tag manager of choice or directly on your website. And make sure that the Activity Map module is installed when you do so. It comes installed by default, just don’t remove it. That will get you on the path toward installing Activity Map in your implementation. The only other thing you’ll need to do is go into the, have an admin go into the admin console, and in the report suite settings page there is an option for Activity Map reporting, and he or she will need to follow those steps, very clearly laid, out to enable this for your organization. Activity Map is, as I mentioned, an amazing way to visualize activity data and particularly for people in your organization who may not use Adobe Analytics in their day-to-day role. If they have responsibility for content or user experience design, this is a a great way to give them access to data in a very hands on, usable, visual format. We’re very excited about it. We hope that you are too. And happy analyzing.
For more information on this feature, visit the documentation.
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