Adobe Analytics

Is there a way to request an oauth refresh token that lasts longer than two weeks? We had been using the oauth method to get some great stats from Adobe Analytics about campaign tracking, but then found out that the tokens expire 'by default' after two weeks (https://www.adobe.io/authentication/auth-methods.html#!AdobeDocs/adobeio-auth/master/OAuth/OAuth.md).  Refresh token grants for Google Analytics last until they are withdrawn by the client or the issuer, so it seems odd that isn't offered by Adobe.  I am aware of the JWT method for service to service interactions, but the way it has to be implemented it isn't particularly scalable for us and requires too much from the client - the oauth process is much more typical for our required workflow.  

Feature Request - Is it possible that each time conversion rates and ROAS are low and way below customised set targets, there would be an alert that we could setup and hover towards the metric, there could be some resulting possible factors listed there? It would be even better, if there are some optimization steps too that could be taken in that suggestion box.  Example: High Risk - Requires immediate attention, possibly pausing campaigns Medium Risk - Requires some awareness, and possibly making minor tweaks Low Risk - Requires some notice, but no action required yet

Hi, in PowerBI, I built a connecton to Analytics data. Unfortunately, the scheduled update does not work, probably due to credentials. Is there any solution? I don't want to update the dataset every day manually

Tag Manager in Adobe Analytics Labs helps users quickly find, compare, and manage tagged components. Tag Manager is accessible by navigating to Adobe Analytics > Labs.  Organizing and managing vast amounts of data is crucial for organizations as they scale analytics across their businesses, as users must stay up-to-date on tag management. The inability to manage tags causes roadblocks in supporting users to efficiently find, compare, or derive actionable decisions from metrics.  As a result, Adobe Analytics Labs offers a new feature called “Tag Manager.” Tag Manager enables admin users to view, edit, and delete tags while also providing users with tools that support filtering and exploring tagged components. In Analysis Workspace, users can search and filter tags in the left rail using the subsequent sequence: “tag: <tagName>”.  Using the tools in Tag Manager, admins can more effectively edit tags across report suites while also being able to clean up outdated o

Is it possible to add "time spent per visit (seconds)" metrics to Report Builder? When I tried, it was only possible when it was used as dimension or total seconds spent 😞  And if it's not possible, I would like to use a formula to calculate it. According to Adobe Analytics, the formula of time spent per visit (seconds) is "total seconds spent/(visits-bounces)", but the calculated metric using this formula was not exactly the same as the metrics that Adobe provides in the picture below T-T   

Background: A server call, also known as a "hit" or an "image request", is an instance in which data is sent to Adobe servers to process. In this case, we are going to focus on two types of server calls: Primary Server Call: Requests received directly from website visitor browsers or the Data Insertion API. Includes Primary Hits (Page Views), Primary Custom Events, Primary Download Events, and Primary Exit Events. Secondary Server Call: Copies of primary server calls created by multi-suite tags or copied/moved by a VISTA rule. If a secondary server call has been moved (not copied) to a different report suite by a VISTA rule, the accumulated secondary calls are deducted from the primary server calls. Note: Adobe Analytics also tracks Mobile Primary Server Calls and Mobile Secondary Server Calls.   Solution: Identify if your organization is using Secondary Server Calls using Adobe Analytics Server Call Usage. Adobe Analytics Server Call Usage addresses your requests for transpare

Adobe Target Sample Size Calculator ensures that your activity has sufficient visitors to achieve your goals. When running a manual A/B Test activity, as opposed to Auto-Allocate, the Target Sample Size Calculator helps to determine the sample size required for a successful test. As a manual A/B test is a fixed horizon test, the Adobe Target Sample Size Calculator provides a rough estimate of the sample size needed. How to Use: Navigate to the Adobe Target Sample Size Calculator. Set confidence level to 95%. Set statistical power to 80%. Set the appropriate number of offers, including control. After identifying pages with high traffic and conversion rates, take the Unique Visitors value for the page and divide this value by the number of days in your date range (i.e., If the date range encompasses the last full 30 days, divide the number of Unique Visitors by 30). You will enter the resulting value under “Total Number of Daily Visitors.” To identify the baseline conversion rate v

Hello! I am trying to extract data from Adobe Analytics in Power BI Desktop and I need some advices/guidance, please. 1. I've tried to use the Adobe Analytics Connector from PBI, but it doesn't work very well so this in not an option. I've tried using Data Warehouse, but here I can't find some metrics, like Bounces, Engaged Visits. Also, I've tried Report Builder, but this also has some limitations. Is there any other way to extract massive data from Adobe Analytics?  2. I want to mention that I have also some segments, that need to be extracted as a dimension (as rows, not as columns or filters). Is there any way to do this? I have a lot of segments, so if I want to use DataWarehouse or Report Builder I will need to make a report request for each segment, which is a lot of manual work. Any advices?

In Adobe Analysis Workspace, is it possible to wrap the text in a fallout visualisation? I have edited the text to make the description shorter but in some instances my fallout needs to contain the full page name which tapers off due to the space available. 

I'm new to Adobe Analytics. Someone on our Marketing teams wants to know if Adobe Analytics can be integrated or work with Pardot? More specifically with their email campaigns. Partdot is an App client for Salesforce. We are planning to move to SAlesforce so anyway we can integrate Adobe Analytics with Salesforces and its App clients would be good.Any information and suggestion concerning integration or tools that can be used within Adobe Analytics to work with Salesforce and Pardot would be greatly appreciated.ThanksDarius 

Hi there - when I break down both Display Click Through and Display View Through marketing channels, with the Marketing Channel Detail dimension, I am seeing the following patterns on observation of data for the past 6-months. For reference, the value of "Referring Domain" has been used for both Click and View throughs. Display Click Throughs:Approx. 84% of all occurrences are labelled "None" - any ideas why?I am expecting to see the domain of the website where the ad was clicked - instead I am seeing a lot of what appear to be ad network domains, which doesn't appear particularly useful. Is there a more meaningful approach I could adopt here?  Display View Throughs:Approx. 35% of all occurrences are labelled "None" - any ideas why?I am seeing a lot of domains that are one of the many that we currently use at my organisation. I can think of a couple of possible reasons for this... please let me know if my understanding is incorrect or incomplete or if there may

Hello Dear Community, I have a click-based success event that triggers when somebody clicks on the cookie acceptance button on my website. Same time, We do have DOM-ready eVars that capture various digital data for us to understand the customer journey with every page load. One of the eVar is using our 3rd party extension to identify the most engaged website visitors. Keeping these scenarios in mind, I want to confirm if it is the right practice if I try to pull a click-based success event against DOM-ready eVar for understanding who are those people who clicked on my cookie acceptance button. Or should I map separate new eVars in the same click event rule to capture my most engaged web visitors?  I do understand that 2nd option is more correct but then why my DOM-ready eVar is also showing me results of engaged visitors against the click event when I am pulling it in the freedom table 

We need to analyse a sequence of events that a user engages in. Use case: number of users who see a banner as the immediate next hit after landing on a page. Page view should be hit x and banner impression should be hit x+1. How can I get this information out on Data warehouse? For us time stamp is not working as multple banners can be shown in the same time stamp, we want to know the exact hit number. Thanks in advance for any advise. Also, why do we not maintain hit depth as a Dimension in Adobe. Any reasons?  Edit: After trying an iteration with Data feed, realized that the tsv file generated for even a day is huge (close to 3.5 GB), plus the data too is very complicated to process. Much easier with Data warehouse. Hoever, sequential analysis wont be possible on DWH. That will probably be limited to workspace. Personally I do not see any cross platform analysis where hit id will be required. Will use timestamp instead(even though in seconds)

Two key differences exist when using Analytics reports for activity results examination in traditional Adobe Analytics versus Customer Journey Analytics. The first key distinction is that traditional AA analyzes Adobe Target data using the A4T Panel, whereas CJA analyzes Target data using the Experimentation Panel. Adobe Analytics for Target (A4T) is a cross-solution integration that allows users to create activities based on Analytics conversion metrics and audience segments. The Experimentation Panel enables analysts to compare user experiences, marketing, or messaging variations to identify the best option for driving a specific outcome. Using the Experimentation Panel, analysts can evaluate the lift and confidence of any A/B experiment from any experimentation platform - online, offline, from Adobe Solutions, Adobe Journey Optimizer, and even BYO (bring-your-own) data. However, leveraging the A4T integration to use Analytics reports for results examination poses one significant lim

How you present your data matters. As a data analyst, it is important to determine which tools are most appropriate for the story you are trying to tell your audience. Incorporating data visualizations, graphs, infographics, charts, and tables can help to convey and drive a story home. However, the visualizations you use, or don’t use, can make all the difference when it comes to decision-making outcomes. Visuals catch attention and are processed 60x faster than text. As a result, it is important that the visualization is direct, meaningful, and intuitive. Meaning, your audience can effectively and efficiently interpret the visualization and understand its value.   How to Build: Using Lab Prototypes in Adobe Analytics, you can leverage the Visualization Recommender. This prototype recommends visualizations that pair well with your data. All you must do is select the desired metrics and dimensions (up to 10 total). Go to Adobe Analytics > Labs > Visualization Recommender Sel

Hi, We are planning to do the iOS & Android Apps Audit. we are looking for Automated tools to do the Audit faster. Can anyone, please help us with the Automated App Audit tools?

Hello, I would like to classify the visits according to this and get the volume:- Visits without Frontpage Views- Visits with 1-2 Frontpage Views- Visits with at least 3 Frontpage Views. Is it possible to do that in AA?Thanks for your support

Hi all- My boss asked me to investigate why we have Visits/Visitors with a UTM Medium but without a UTM Source (UTM Source is listed as "Unspecified"). I realized that, in contrast to Google Analytics, Adobe Analytics prioritizes UTM Medium above UTM Source: https://experienceleague.adobe.com/docs/marketo-measure/using/channel-tracking-and-setup/online-channels/utm-parameters.html?lang=en All of our links still use the GA tracking parameter order: UTM Source first, then UTM medium. Like this: http://www.example.com/?utm_source=source&utm_medium=medium Does this matter? Should I change our URL structure to be like this: http://www.example.com/?utm_medium=medium&utm_source=source Or is AA always going to collect medium first regardless of what order the tracking parameters appear in? Can anyone shed any light on this?

Change the Color Palette of Your Dashboard Changing the color palette may be necessary to ensure the accuracy and inclusion of all data points in your visualizations. For instance, if a color in your palette is too light, it may be hard for your audience to interpret your analysis accurately. Change the look of your data visualizations by using the Project Color Palette. Use pre-configured color palettes for your project, or create a custom color palette. For instance, below are the HEX codes for the colors I’d like to use for this dashboard: Black: #000000 Red: #FF0000 Blue: #0000FF Gold: #FFD700 How to Build: Go to Workspace > Create Project > Project > Project Info and Settings Go to Project Info and Settings > Project Color Palette Go to Project Color Palette > Custom Palette   Update the View of Your Freeform Tables Properly formatted, intuitive Freeform tables will enable your organization to identify, assess, and derive actionable insights. The three “

Activity Map is an Adobe Analytics application that is designed to rank link activity using visual overlays and provide a dashboard of real-time analytics to monitor audience engagement of your web pages. Activity Map bases its link tracking on these two IDs: Primary ID: this is the recognizable parameter of the link. Link Region: this is a secondary parameter that allows users to specify a string that is representative of the overall link area in the page or region. This parameter can be automatically generated if it is not provided by the user. The Link Region value is not set on the link itself, but on one HTML element up the DOM HTML tree that encompasses that region.   How to Build: Leveraging the subsequent Workspace variables, we can better understand link engagement:   Dimension Description Activity Map Page Lists the pages on which a link was clicked. Activity Map Region Lists all collected link regions across the whole web site. Note that if

How to Build To create a scoring system, it is imperative to identify all key activities that show engagement on your site and assign a point system to each activity. For instance, one government agency uses the following KPIs to score visitor engagement: ·      Blog Views: Page view or bounce is the most basic way to look at this metric. Capturing information on session duration can also prove valuable.  Consider assigning a higher score to a lead that signs up for the latest news updates, a lower score for visitors who have read at least one article, and an even lower score for those who bounce after landing on any blog page.  ·      Internal Searches: Internal search is used onsite to help visitors locate the information they are looking for, as tracking internal searches of engaged visitors tells you what content is needed to best serve them.  By tracking visitors primary search terms and search page results, we can b

Hi,Our team tries to update our tracking code classification and the processing rules as well, but we also want to keep our retroactive data.We have two options: 1.Edit the conversion classification in the existing report suites as well as the rule set (concerned about losing retroactive data). 2.Duplicate both related report suites and tracking code rule set, and make changes to the copies.My question: 1.Which option would you recommend?2.If I go with the second method, is it possible to have the new rule set as a second Tracking Code Dimension in workspace. If so, what steps should I follow? Thank you in advance for your help!