Think it’s about email open rates, or how often you open ads? Or a competitive outcome, or getting more email open rates? Say it’s about adding value. That’s about creating a true hub for other sites. What’s more, it can make you more discoverable to potential visitors. Today, 8 out of 10 people are not using a search engine, and only 41% use a social media channel. So if you can combine all that together, that’s almost a 75% ROI. Whether you’re running a home page or a blog or a product page, either way, it’s about providing an experience that visitors can’t find anywhere else. Which brings us to structured data. What is structured data? Today, there are lots of things you can do to add value in the website experience, from uploading images and video files for embedding into blog posts and blog posts to implementing a funnel widget for tagging blog posts. But now you can add content into a simple database. Structured data provides a history of past page views and use the data in your own software. Unlike old Web tools that didn’t allow you to add structured data, modern tools offer a workflow for doing so. They are relatively simple to use. If it doesn’t sound that easy, it’s because most of them have to be learned. But it’s worth it. Google, Facebook, Twitter, Yelp, Tumblr, Salesforce, etc. , all use these tools for their own sites, and analytics allows them to understand the results of every piece of content they can add. We’ve also seen marketers using these tools to create calendars to schedule publishing. What are you trying to do? It’s being executed more often and works better because it’s more purposeful. It doesn’t crash. What works best for your organization? Search engines, social networks, and e-commerce. What features do you want to have? It should be able to provide accurate data and change automatically based on the data. You want a tool that supports formats. You want a flexible type of SQL that works across systems. You need integration with other systems such as Google Analytics. What are some of the biggest stumbling blocks? Security. data breaches go across various systems, and any information you add to a format or API, and even if it is considered confidential, will live on the social network that it is shared with. What are the skills required to use this tool? Average data scientist experience. What system should you be using? All of them because it is integrated with many of the other systems you have. What else should you be adding? Build a simple workflow so the system doesn’t show hiccups. Shortened e-mails to open formats. URL extensions for social networks that inform how users are logged in. Help a feature like A/B testing work. Cutting-edge transparency and data management for building up marketing and communications teams. Easy integration with other systems, like Google Analytics, Salesforce, Slack, others

Shortened e-mails to click-through rates, as highlighted in particular ways. Adding sound – a goal for all team members to learn how to listen to and consider their own music. Explanations for campaigns that lead users to more pages to explore and bring more prospects.Shortened words. To read more about this, check out Brad Cohen’s e-book, Adobe Analytics for E-commerce. Partnering with more people and systems like Spark Hadoop to be able to dynamically populate data for other teams. Adding Reddit buttons with meme links and other useful information. Because this is a new capability, few people know about the options. So we’re starting with an early release, followed by the ability to support more advanced fields and more options. To learn more about the architecture, please visit the documentation page. Platforms and integrations to use with your data

Once you are ready to launch something awesome, I’d love to be the one to show you how to make it happen. If you’re interested in subscribing to Project Smart here, fill out this form to start taking your journey. With that, to me, that means not just rich data and an awesome user experience, but how to easily put that data into your machine learning platform or system. Simple. But is that true? Is it? In this short project guide, we’ll take you behind the scenes for the conversations happening at Adobe Efficient Commerce, a little light on the technical details. But heavy on the personality. You’ll learn that visibility isn’t just about full and accurate reading numbers. It’s about positioning your products to truly trigger experience profiles, which are data sets that report on their own behavior and make the most of that experience. And we’ll demonstrate with data that we’ve used ourselves. What makes rich data so dope? Let’s dive in. Rich data is built on top of the great work you’ve done in helping HubSpot E-commerce, and then supercharge it with Spark!

Building a beautiful data table

A big part of what brings a data table to life is creating and data-embedding it to the platform: Using predictive data and some clever data processing, you can design your data table to show you how your business operates and, potentially, predict its next steps. We will see some pretty cool examples, but to keep this overview concise, I’ll focus mainly on the data being designed by Visual Analytics and being used in a variety of ways. One big part of that, of course, is ensuring we are capturing the source data, like data from your HubSpot account, to show you what’s going on when you’re doing research.

We start with your data Table

If you are starting on a new website for the first time, you’ll be lucky to have a data table.

If you have one, great job done!

If you don’t, then you are having trouble…

But wait, what if you didn’t? What if your data tables have been on your website for years, and you don’t have any insights, be that about your brand, or your products, that it contains?

There are two ways you can visualize the data in your systems. Each of them require different configurations that will require you to think about data that is up to date, or understand what your systems are not yet receiving from your system. But they all come with their own challenges. The easiest, if not the fastest way to visualize data is to use a Markdown.

The JUnit

Markdown is a collection of JSON files that represents the variables that should populate that data table. For most people, the simplest and most familiar way to use a markdown is as is markup. You can think of the markdown as something you are able to change dynamically, and its data will be all in a jpeg format.

Then, with your data table inside the markdown, you create an action code value for that data table and show it in your app. For example, you might specify a particular deal is shipping to the following city and make a code action value in the markdown table and show it as an action for another account on your account.

From that you can view all your data tables or, alternatively, use the data table view to have a complete view of your account for any action you might have wanted to take, like adding a new product. You’ll also be able to start a new action in your app that will respond with an action for that information. For example, you might have a data table with a button to trigger a discount and you could write action code inside the data table in the markdown to trigger that discount when you entered the discount value.

All of this and more by using the data table view in your app.

Markdown by format

So, more templates for your data tables. Then, the data comes and does it for you. But what’s the real

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