How OpenAI o1 Drafted an Adobe Analytics SDR in 30 Seconds
🚀 How OpenAI o1 Drafted an Adobe Analytics SDR in 30 Seconds 🚀
OpenAI has just rolled out o1 from preview in ChatGPT, and it’s packed with exciting updates that take reasoning, coding, math, and writing to the next level. Plus, it now supports image uploads, allowing for more detailed, visual-driven responses.
Here’s the breakdown of what’s new:
âś… Faster and more powerful reasoning: Tackle complex problems with ease.
âś… Image support: Upload visuals for detailed analysis and insights.
âś… Broad access: Available today for Plus and Team users through the model selector. Enterprise and Edu users get it in one week.
I couldn’t resist putting it to the test:
In the attached video, I asked o1 to draft an Adobe Analytics Solutions Design Reference (SDR) for two mobile app mockups for a fake payment app. Within 30 seconds, it delivered:
- Comprehensive key use cases
- Actionable KPIs
- A thoughtful explanation of the benefits of the tracking setup
- A full SDR document with technical specifications.
This was all based on two MOCKUP screens!!! 🤯
Sure, the document will need some review and tweaks, but the time saved on creating that first draft was incredible. And when you think about iterative builds or adding new features later on? The possibilities for efficiency are huge.
Imagine how much time and effort you could save by leveraging tools like this to kick-start your workflows.
Have you tried OpenAI o1 yet? What’s been your experience? Let’s chat in the comments! 👇
#ChatGPT #OpenAI #AI #Adobe #DigitalAnalytics #TimeSaving #WorkflowOptimization #Innovation #AdobeAnalytics #DigitalAnalytics #FutureOfWork #DigitalTransformation #AdobeExperiencePlatform
Creating a Dynamic Data Feed for Adobe Target Recommendations
🚀 Boost your website’s personalization with Adobe Target!
In this step-by-step tutorial, we’ll show you how to create a dynamic data feed for Adobe Target Recommendations using albertacg.com as our example. Learn how to seamlessly integrate your WordPress site with Adobe’s powerful personalization tools.
What we’ll cover:
• Setting up Adobe Tags (formerly Adobe Launch) as your tag management system.
• Utilizing the Adobe Experience Platform Web SDK and Adobe Client Data Layer extensions.
• Extracting metadata from live blog posts using the REST API.
• Creating a CSV feed compatible with Adobe Target Recommendations.
• Developing a lightweight WordPress plugin to push page data and entity information to Adobe Target and user profiles in real-time.
By the end of this video, you’ll have the knowledge to build a dynamic content recommendation system that enhances user experience through personalization.
📺 Stay tuned for our next video, where we’ll dive into setting up personalization activities, using criteria, and designing layouts within Adobe Target!
#AdobeTarget #Adobetags #AdobeLaunch #AdobeExperiencePlatform #WebSDK #AdobeClientDataLayer #WordPress #WordPressRESTAPI #DataFeed #CSVFeed #Content #Personalization #DynamicContentRecommendations #WebDevelopment #DigitalMarketing #albertacg #CustomWordPress #Plugin #Personalization #Activities #UserExperience #JavaScript #TagManagementSystem
Driving Personalized Content with Adobe Target Recommendations
In this session, you will learn how to leverage Adobe Target Recommendations to
deliver personalized content experiences on your website. We’ll explore how
Adobe Target uses machine learning and user behavior data to generate real-time content recommendations, improving engagement and conversion rates.
Whether you’re a business leader or a technical professional, this session will guide you through the key steps for implementing recommendations, from setting up your content strategy to measuring success with Analytics. Discover how personalized content can transform your user experience and drive business growth.
#Adobe #AdobeTarget #recommendations #personalization #userexperience
