Discover 3.2: Sequential Segmentation Primer

-Brian Au

The latest Discover release introduces even further sophisticated analysis techniques through sequence and time. All of these advanced data filter and manipulation elements can be applied together and brought into previous Discover projects.

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Rule-based classifications (Part 4: Using regular expressions)

- Matt Freestone

This is Part 3 in a multi-part series describing the new classifications rule builder in Adobe Analytics. If you missed any of the previous installments they can be found here:

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Rule-based Classifications (Part 3: How to build rules)

-Matt Freestone

In today’s post I will talk in detail about the user interface for the classifications rule builder and explain how classification rules are constructed and activated. To start with I need to introduce some basic terminology:

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Rule-based classifications (Part 2: Rules rule!)

-Matt Freestone

In Part 1 of this series I described the need for a rule-based approach for managing classifications and told you that the new clas­si­fi­ca­tions rule builder is designed for situations where metadata is located within the string val­ues being passed into Adobe Ana­lyt­ics. In this post I will discuss three example use cases: tracking codes, products, and internal search terms.

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Rule-based classifications (Part 1: Making classifications easier)

-Matt Freestone

Classifications (formerly SAINT classifications) are a powerful tool for gaining more insight from your analysis of online behavior. They provide a means to upload metadata  that can be connected to the information being gathered by Adobe Analytics. Classifications are used in many ways. Here are a few examples:

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The Starting Lineup: Adobe Analytics Standard 1.2 Updates

-Ben Gaines

It’s late May, and baseball is on my mind. So, how was last night’s release of Adobe Analytics Standard like a baseball team? Just as there are nine batters in a starting lineup, there are nine categories of feature updates, each which brings its own new benefits to the broader team. In this post, I’ll cover those nine categories. My colleagues in Adobe Analytics Product Management will be following up with more detailed posts covering much of this new functionality (and when those posts go live, I will also link to them from here).

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Step Up Your Adobe Discover Game: 3 Advanced Techniques

-Brian Au

I have observed that Adobe Discover at times opens up such a wide range of options that a number of the advanced features do not standout to users. In the below three cases I aim to highlight several of these advanced techniques through a walkthrough of the tool access steps and potential business applications. Discover users that leverage these capabilities can pull in more advanced insights into their reporting and analysis within the same familiar workflow.

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Swisscom AG uses Adobe Target solution within Adobe Marketing Cloud to continually optimize customer experiences.

-Mark Boothe

The largest telecommunications provider in Switzerland believes testing is the key to optimizing business via the web.

Swisscom AG continually tests and retests webpages using the Adobe Target solution within Adobe Marketing Cloud. Always striving to deliver the best possible customer experience, no detail is too small for modification. In fact, by using multiple solutions within Adobe Marketing Cloud, Swisscom meticulously measures, monitors, and analyzes every step each visitor makes—from the online marketing channel that brought them to Swisscom through each of the company’s online stores.

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Adobe Media Optimizer Reduces Costs and Boosts ROI of SEM Campaigns for Adobe

-Customer Success

When Adobe needs to optimize bidding for keywords and enhance search engine marketing (SEM) campaigns, Adobe looks no further than its Adobe Marketing Cloud solutions.

“With integrated Adobe Media Optimizer and Adobe Analytics solutions, we could leverage built-in bidding algorithms and real-time analysis for incredible insight and control over our search campaigns,” says Jeff Julian, senior search engine marketing manager at Adobe.

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Adobe Target Arms Marketers with Personalization Firepower

-Kevin Lindsay

Over the past year, I’ve been pleased to see that our customers are becoming increasingly more sophisticated with their online personalization strategies. Whenever I meet with leading retailers, banks and media companies, I am blown away by how they are leveraging their analytics data to segment their visitors in order to deliver the most relevant and targeted experience possible. However, with this increasing sophistication come increasing requirements. Marketers are finding more opportunities to deliver dynamic content to visitors, but don’t want it to come at the expense of performance. With a deeper understanding of their audiences and the desire to deliver more targeted experiences, marketers are requiring more control and customization over their personalization strategies. They are also demanding more insight into how these personalization campaigns are performing.

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