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Looking to see if a indicator can be added as the first column to a rule to show what kind of "Event Type" the rule has. Something on the lines of what Adobe Target currently offers for their different types of activity.Additionally if a filter can also be created to narrow down all page load rules, DCRs etc besides the existing ones (Status:Enabled / Disabled), that would be great.
I've upgraded all my extensions and even searched for the property in Launch but it finds nothing. Not sure how to remove these warnings.
Description - Ability to send email notifications to the subscribed emails when the data flow run fails or succeeds. Why is this feature important to you - It is easier to set up alerts for data flow monitoring via email inbox instead of logging to console and check for status. How would you like the feature to work - Allow the ability to set up an alert based on flow name or by status and subscribe to individual or group email ids. Email notifications should be delivered to their inbox. Current Behavior - Currently the subscribe option sends alerts to the UI and you need to be logged into AEP to view the alerts.
Description - While looking at the dataflow runs that are completed, the UI should be able to sort the runs by Last Flow Run date/Status and filter by Flow Name.Why is this feature important to you - If there are many data flows, easier way to look at the most recent data flow runs and the status of runs for a specific data flow. How would you like the feature to work - Add the sort capability to the last flow run date and by status or by last flow name. On the left hand side, there is a filter by Source. There should be a filter by data flow name so you can look at all the runs associated with it.Current Behavior - Currently able to sort the list by dataflow create date which is not helpful. Not very often we need to look at the dataflows when it was created.
Adobe Experience Platform LaunchUse CaseAllow view, and the ability to copy, the code that is generated by Launch App Extensions. Currently no visibility into extension's code Business ImpactWill be a timer saver in many ways when trying to see if extension contains vendor specific requirements that may not be included in Adobe's version. Will allow us to compare back to the vendor's current documentation for their site tags to ensure the most current is being used. Quick copy the code and add the new requirement in a custom tag if not present in the extension. Ensures we will know what is being deployed - currently somewhat of a black box.
I would like to be able to see the type of the Data Element in the Data Elements List Page. An additional column could be added which shows the Data Element Type (similar as it was to DTM). For this the value from the "Data Element Type" field in the Data Element could be used.In addition to that a possibility to filter by Data Element Type could be added in order to show only Data Elements of a certain type.
The previous version of the debugger keeps all the requests open when changing tabs in the browser. The current version shows only the requests for the active tab.This creates extra steps in the workflow when working between two or more tabs and the debugger window. This is often required when validating variables in an Adobe Analytics workspace while testing a page. Leaving the tab also collapses the request so it has to be re-opened and then scrolled to the right to see the current hit.It would be better if the request would stay open, even when the active tab is changed. It would also be better if the focus remained on the most recent hit, rather than adding them outside the window so that they have to be scrolled to.
Hi Folks,I am new to Adobe journey Optimizer so please guide me .I have created a XDM individual profile schema and dataset with that schema. Now I want to do segmentation on the created dataset but when I am creating segment by selecting XDM profile attribute , no value is coming up. Does anybody faced same issue. Please help me out.Kind Regards,Kaushik Datta
Seeing following error in logs, and wanted to check if data is being sent am missing somethingCode (Android Java)import com.adobe.marketing.mobile.ExperienceEvent;import com.adobe.marketing.mobile.Edge; ExperienceEvent experienceEvent = new ExperienceEvent.Builder().setXdmSchema(xdmData).build();Edge.sendEvent(experienceEvent, null); Documentation: https://aep-sdks.gitbook.io/docs/getting-started/initialize-the-sdk
Let me show you below. I do the same things for two debuggers, the new one and the old one. I just load a page in Tab 1 and load a page in Tab 2. Total 2 hit, then do nothing more. If I use the previous debugger，the Adobe Experience Cloud Debugger and open 2 tab of a same website, it will showed the total 2 hits in the same network requests window. Each tab got 1 hit. (That's correct) However, if I use the new debugger extension, the Adobe Experience Platform Debugger, it will only shows the servercall of 1 tab. And the data event dupilcat(showed 2 same hits servercall in for only 1 page view)?!The Tab 1 will have a window/table， and the Tab 2 will have another window/table, they can not showed in the same window and also it totally showed 4 hits?! My question is, how can I showed all tabs load in the same windows in the new debugger, cause the old debugger will stop it's service. Question 2 is why it shows 2 hits for only 1 page load i
Sometimes you need to find where a prop, eVar or something is set inside a launch property. If a rule or data element is misnamed or documentation isn't up to date it can be very difficult to find.It would be amazing to have a "code search" feature so you can search for exactly which rules lead to the setting of a variable. You could also find how data elements are set much faster in a similar manner. Other tag managers have this feature and it can be a huge time saver for new starters or consultants getting up to speed on the analytics implementation.On top of this, when viewing data elements it would be extremely useful to be able to see every rule they are currently used in and vice-versa.
Does Adobe provide a NPM package for adding Adobe Launch to a ReactJS web application? Where can I find it? If not, is there any clear documentation and guide for adding Adobe Launch and tracking pages and clicks for a ReactJS web application?
I am trying to release my extension via npx @61380/reactor-releaser Getting the following message - does anyone know where to go to fix this? I am positive my project name matches. No extension package was found on the server with the name <insert_name> and development availability.
I am looking at how to release a new version of an extension my company has published a long time ago. I have the source code and have made the changes to the code and successfully made a new zip file using https://www.npmjs.com/package/@adobe/reactor-packager. How do I go about releasing this version upgrade?
Currently in Adobe Launch - we see a blue button when an upgrade is available. But this does not tell us what is being updating (why do we need to upgrade). Can we add a version history to all extensions that says what were being changed? Currently - we are just hitting upgrade and do not know what we need to test to verify it will work on our site. This should be standard across all Adobe / third party owned extensions to ensure we, the client, know why we should push this change into the system.
Hi,I am trying to ingest data in AEP using parquet format but are facing compatibility issues. As, parquet is not human readable, I am finding it difficult to convert the parquet file to XDM compliant parquet file. Can anyone guide me on how to convert the normal parquet file to XDM compliant parquet file? Also, does anyone have XDM complaint parquet sample files for reference? Thank you
Authors: Aaron Shields and Jody Arthur Adobe Experience Platform has flipped the traditional relational database model upside down with a new model for segmentation that eliminates the trade-off between small, lightweight profiles that are easy to activate and the data-rich, 360-degree view of the customer to make highly accurate decisions even faster. When it comes to making the key decisions to power customer experience, enterprise marketers have struggled for years with the trade-off between speed and accuracy. With big data continually increasing what we know about consumers, the gap between a small, lightweight profile and a holistic, 360-degree view of that consumer grows ever wider. Simply put, the bigger the data, the longer it takes to read through that data for actioning. Now, by turning the traditional relational database model upside down, Adobe Experience Platform has found and patented a new way to eliminate the trade-off allowing real-time decisioning on highly accurate
Authors: Richa Sharma, Manasvi Mahant, and Douglas Paton In this post, we take a look at what data science is. We explore common misconceptions about what is and isn’t data science. And we talk about how it can be used to help solve business problems using Data Science Workspace for Adobe Experience Platform. Data is at the heart of everything we do these days. Every action, decision, and interaction that we make on the internet results in massive amounts of data. When we are able to harness this data, it gives us the ability to make more informed decisions, create products and offers that are backed up by data, and make connections that we’ve never been able to make before. Data science helps us make sense of all this data. It allows us to understand where the data comes from, what it represents, and how it can be processed and recognized faster to derive meaningful insights from the data. These insights would be helpful for companies to make better business decisions and generate hi
Authors: Daniel Marcus and Douglas Paton In this post, we discuss how we analyzed the cost of operating Adobe Experience Platform Pipeline to reduce unnecessary costs. We break down our process for identifying areas where we were overspending. And we look at how we automated the process to help streamline cost governance for Adobe Experience Platform. It wasn’t that long ago that Adobe Experience Platform Pipeline was a modest Kafka implementation that served as a message bus for the marketing cloud. In 2014, that was the case. Pipeline was transmitting about 500 million messages a day and was deployed in five data centers — two in the United States, two in Asia Pacific (APAC), and one in Europe, Middle East, and Africa (EMEA). Six years later, Pipeline is a different beast. It’s still a great low latency message bus, but it’s much more than that. It provides capabilities for developers to do the streaming computation, to analyze, aggregate, transform, and enrich data on the
Authors: Abhishek Shukla, Sidharth Chaturvedi, and Per Andreasen This post describes the experiences of the ExCelerate team in the 2019 Adobe India Hackathon. This user experience-focused team did their best to deliver a more personalized user experience for customers on the Adobe Experience Platform. This blog details a single implementation or customization on Adobe Experience Platform. Not all aspects are guaranteed as general availability. If you need professional guidance on how to proceed, then please reach out to Adobe Consulting Services on this topic. When you log into Adobe Experience Cloud, you are typically met with the same landing page that varies a bit depending on the products you have access to. This makes it easy for novice users to get the hang of setting up their user interface and navigating through it, taking advantage of some of the basic features on the platform. However, as each user gains more knowledge and experience working on Adobe Experience Cloud, they
Authors: Meenakshi Ganesh, Sunish Verma, and Jody Arthur The new Segmentation Automation Workflow Tool makes it easier than ever for Adobe Experience Platform customers to export customized data sets and segments into their own consuming systems allowing them to leverage their data faster and better. This blog details a single implementation or customization on Adobe Experience Platform. Not all aspects are guaranteed as general availability. If you need professional guidance on how to proceed, please reach out to Adobe Consulting Services on this topic. Adobe Experience Platform’s Real-Time Customer Data Platform offers many ways to integrate organically to allow customers to extract their data for use in third-party applications. Now, with the new Segmentation Automation Workflow Tool developed by Adobe Consulting Services, customers can also customize their data exports and segments from Adobe Experience Platform into their own consuming systems, allowing them to operationalize the
Authors: Steve Pelhan, Justin Grover, Nate Smith, and Douglas Paton In this post, we talk about the official release of Common Analytics Plugins for Adobe Analytics. This has been made available as an extension through Adobe Experience Platform Launch. With the creation of Adobe Launch, Adobe’s next-generation of tag management capability built into Adobe Experience Cloud platform, Adobe Analytics implementations got easier than ever before. The release of the Common Analytics Plugins Launch extension (developed and supported by Adobe Consulting Services) adds a new dimension to the Adobe Launch capability. For years now, Adobe Analytics has had a series of plugins that help users capture better data and get the most out of Adobe Analytics. But, up until recently, gaining access to the plugins meant talking with Adobe Consulting Services and manually implementing the plugins. Adobe Experience Platform Launch has changed that. Now, with the help of Adobe Experience Platform Launch, Ado
Authors: Atul Shrivastava, Prashant Dahiya, Praveen Kumar Goyal, and Jenny Medeiros This post provides an overview of how we integrated Ad Currency Optimization within Adobe Experience Platform to streamline demographic predictions for anonymous users. This is the first of five exciting applications that resulted from our Adobe Experience Platform India Hackathon. Advertising is being transformed by data and technology, but the lifeblood of successful video targeting remains the same: user demographics. For publishers of TV streaming content, most of their users are anonymous. And without demographic data on their viewers, they can’t deliver relevant advertising to them. These missed targeting opportunities not only submit their viewers to a barrage of irrelevant ads but can also cost the publisher between 40–45% of their ad revenue. Adobe Primetime is a cloud-based platform that helps digital video publishers increase their advertising and subscription revenue. One of its key compone
Authors: Justin Ross, Douglas Paton In this post, we look at how we helped customers move their data out of Adobe Experience Platform for use in other systems. We explore the challenges of working with an international team and how we used a generic solution that could be used by anyone. Users of Adobe Experience Platform produce incredible amounts of data. This data can help them get powerful insights into their customers across all channels. Once they get that data out of Adobe Experience Platform, that data can then be used to make decisions based on the insights gained from the data. The challenge was that, although there are many ways to get into Adobe Experience Platform to generate data, exporting the data to other systems wasn’t nearly as easy. There was not a good way of getting data out of Adobe Experience Platform. We needed to build a way to enable activation, which is the capability of exporting data into other platforms, on Adobe Experience Platform. We needed to come up
Authors: Manoj Thakur, Abhishek Shukla, Atul Shrivastava, Som Satapathy, Anup, Balaji K, Per Andreasen This post describes the experiences and outcomes of an intensive hackathon put on by Adobe Experience Platform India team. Adobe engineers came together to develop five innovative applications that secure better ROI, improve UX and strengthen machine learning. In December 2019, several developers from Adobe Experience Platform’s engineering team in India participated in an intensive internal hackathon. In just one workweek, five new and innovative platform solutions came to life. As developers, we can easily stick to proven routines, especially in times with high workloads. We knew that Adobe Experience Platform needed to be top of mind in our daily work lives as it can take customer experience to the next level and solve problems at scale in real-time. That is why we decided to organize a hackathon for Adobe engineers in India. But we had not dared hope for as much innovation as we
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