How to Configure General Account Settings
- Topics:
- Report Suite Settings
CREATED FOR:
- Beginner
- Admin
As you set up Adobe Analytics, configuring the settings can affect how your data is collected and stored. This video goes over some of the general settings. You can also change these after implementation, as it is never too late to make your data more correct.
Transcript
Hello, my name is Daniel and I’d like to share with you some tips and tricks for the general settings for your Report Suites. Our first step is to select the report suite. We’ll do that by clicking on Admin, and choosing Report Suites. For this demo, I’ll be modifying one report suite but you can, if you wish, select multiple and modify multiple ones. Again, I’ll be doing one. I’ve selected my report suite. And then I will choose under the Edit Settings menu, General and click on General Account Settings. Now, the settings listed here seem simple some of them but there are caveats and details behind the scenes that I’ll explain to you.
The first one is site title. Now, this setting is the title of your report suite. It’s important that this one is accurate and very explicit and clear. You don’t want somebody trying to run a report and not know which report suite to use or to use a pre-production one, for instance, as opposed to a production report suite. So, it’s important to name this carefully and be very explicit with it. There’re no restrictions on special formatting, number of characters, hyphenation, et cetera, so you can name it whatever you’d like. An example, you may want to put DEV in the title if it’s a development report suite so that it’s very clear what that is used for. And that’s about all there is to site title for now. Base URL is the next setting. This is used actually as the internal URL filter unless you explicitly change that setting. Now, that setting can be found under Edit Settings, General, Internal URL Filters. And that is a topic for a different video but base URL should be the primary domain of your website. No metrics are impacted by this. And it’s really not used anywhere other than as a default for the internal URL setting. Time zone is the next setting. Now, this is an important one. The time zone specifies how the hit will be stored in your reports, what time the hit will be stored in your reporting. So for instance, if the headquarters of the company are in US Pacific Time and the visitor visits from a different time zone, say US Eastern Time, that visitor would visit the website and the hit would be captured in their time zone and then converted to US Pacific and stored in the reports. It’s important that this kept consistent across report suites so that you don’t have to shift your mind from one time zone to another every time you shift your report suite. So, keep it consistent all across all of your report suites and it’s ideal to set it as a time zone for your headquarters. Another tip here is don’t change this at peak hours because it could cause a gap in your data or a spike in your data. It’s important, if you’re going to change this after the fact, that you change it at the most off-hours time possible to minimize the impact to your data. Default page. This setting is an interesting one. This should never be needed because the best practice is to pass in s.pageName on every single hit. Now, if that doesn’t happen, if s.pageName is not passed in, the hit will be recorded with the URL as the page name. And if the URL ends in a suffix like index.php or index.html or home.jsp or something like that, you could get duplicate rows in your data. For instance, you can have mydomain.com or mydomain.com/index.html. And both of those are unique so they show up separately. If you want to consolidate them, you can put something like index.html here and that would note that that’s your default suffix and it would then consolidate both rows together in your reporting. Again, this shouldn’t be used. The setting can be set but it shouldn’t be needed much because s.pageName should be set on every single hit as a best practice. The next two settings have to do with IP addresses and are based on our privacy settings. So, this first one, replace the last octet of IP addresses with a zero. And a quick note, these little icons here are actually tool tips, help tool tips and they have you a little bit of information about what it does. So, this setting changes the last set of numbers, the last octet. It replaces it with a zero, thus obfuscating the visitor’s IP address for privacy purposes. Now, this is an interesting one in that it happens immediately and it’s permanent and it occurs before post-processing rules, even before geolocation. So, if you obscure the last octet of IP addresses, if you enable the setting, then your geolocation won’t be as accurate, especially at the city level. It also will affect your bot rules, your IP exclusion rules, any other post-processing because it happens right away and the specific IP address is no longer available for those rules. So, adjustments would have to be made to your rules to accommodate this. And it’s a bit of a destructive setting. It doesn’t save it for later, it just erases the last octet of IP addresses. So that’s that setting. The next one, IP obfuscation, is similar in that it is related to privacy but there’s a couple options. And it is a little bit more destructive because it removes the entire IP address in one of two different ways here but it happens a little bit later in the processing. So, it is permanent but all the rules run first, including geolocation and all the others I listed. Therefore, it doesn’t really necessitate any adjustment to your rules if you turn this on. The first option, obfuscate IP address, this one actually just replaces the IP address with a hashed number. So, it’s completely meaningless for privacy settings. And then the remove IP address setting, this one actually just replaces the entire IP address with Xs. Both options make it so that the privacy is safeguarded and that IP addresses are not stored in reporting. This option here, transaction ID storage, if enabled, this feature allows offline data to be matched with online data based on a transaction ID. And so, if you’re using that feature of Analytics, then do enable this. If not, you can leave it off. Enable data warehouse, this feature should always be enabled. In past iterations of Analytics, this was a contractual add-on and wasn’t always included but now it is and so it should just always be enabled going forward. The zip option has some interesting settings. There are a few different options here. Now, the zip option refers to the zip code or postal code. And that is generally passed in with the s.zip variable as part of the page hit. Now, if that’s not done, we have the fallback option to allow the geolocation service that Analytics uses to look at your IP address or the IP address of the visitor and estimate the zip code and then store that in the reports. And this option controls that setting and how that’s done. The first one, always use s.zip, never geo zip, basically, we just don’t use the geolocation service at all. The next one here, use geo zip when the s.zip is not passed. So, if you don’t have that variable set, then the geo zip will be the fallback and fill in when the s.zip is blank. The third option here, always use geo zip, this means always use it except for if it returns a null value, then we use the s.zip to fill in the gaps. And the final option here, always use geo zip even if null, never s.zip, just always use the geolocated zip and just ignore the s.zip always. So, several options here you can choose for what matches your implementation best. If there’s a checkout process on the site and you’re capturing user zip code, using s.zip is a more accurate way because geolocation zip codes are not perfectly accurate. And so that would be the most accurate way to capture zip codes or postal codes. Next, we have multi-byte character support. This setting refers to the languages that use additional characters, multi-byte characters. So Western languages don’t need this setting to be turned on but if the website is in a different language that does use multi-byte characters, Japanese, Chinese, other Asian or Middle Eastern, some Eastern European languages, would create multi-byte character support and so if you do have web pages in that, you would want to set the s.char set variable and enable the setting. Now, it’s important that this setting matches what the website is. So, if it’s only in Western language that doesn’t require this, you don’t need to turn it on. However, if you do pass in multi-byte characters and don’t turn this on, it’s not going to look right in your reports. If there are issues with reporting, this is a setting to look at and switching this up would fix the problem. Finally, we have the base currency setting. Now, this one I can’t change with this interface. I would have to contact client care to change it but it is the base currency that’s stored in your reporting. If a visitor passes in currency or if the hit passes in currency with say the euro or the pound or some other currency, that would be then converted at the point of the hit based on the existing conversion rate at that moment to the base currency, in this case, US dollars and then that new value would be stored in the reporting. So, it’s important to understand how this works. It’s not going to capture the actual value passed in. It’s going to capture the converted value based on the exchange rate at the moment and then that will be stored. So, I hope this has been helpful. These are the general settings for your report suites. Other videos will cover other settings but hope it’s been a helpful video. Have a great day. -
For more information, please visit the documentation.
This video is part of a playlist Configure Report Suite General Settings in Adobe Analytics!
More help on this topic
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