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TanmayMathur
Adobe Employee
TanmayMathurAdobe Employee
Adobe Employee
August 2, 2016

Blog and Article Sharing Corner

  • August 2, 2016
  • 13 replies
  • 53973 views

Hey Community Folks!

This space is created exclusively for users who write blogs or articles around Adobe Advertising Cloud/Adobe Media Optimizer/Tubemogul and related technologies. You can feel free to post your genuine content around topics like Search/Display/Social Marketing, programmatic ad buying etc. If we like what you have written, we may well include it in our official Knowledge Base Articles and give you the due credit! If you have any questions before posting you can send me a private message.

Hope to see some great content here!

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    Adobe Employee
    ritikam90154231Adobe Employee
    Adobe Employee
    September 4, 2016

    By Ritika Mahajan, AMO - Consultant, Adobe

    AMO: Conversion Tracking

     

    In today’s dynamic digital marketing space, it is very crucial to track the conversion, this helps us to quantify our marketing efforts into Return on Investment (ROI). Industries which do not track conversion assume that if the sales increase during the run time of the ad copies it is due to the ad copies however there is no data to back this assumption and it may or may not be the case.

     

    An intelligent marketer would always setup a conversion tracking system and make all his marketing efforts quantified assets of the business. Another myth regarding conversion is considering conversion equal to a purchase. This is not always true. Any action that a visitor takes on the advertiser website that results into benefit of the advertiser is a conversion.

    For instance, in services industries specifically B2B Business there is no purchase instead a call made to the advertiser’s call center results into revenue for the advertiser. Does that mean Digital marketing is not for Services industry at all, the answer is No, A Service industry advertiser can have different ways of tracking conversion like offline conversion or tracking chats on the website through analytics.

    Being A marketer it is absolutely critical for us to define the conversion and set up an achievable target – AMO hits the bulls eye here. With the Portfolio theory of AMO it is very easy to set up a target and let the optimizer work towards the same in order to maximize the ROI.

     There are three types of conversion tracking that can be done through Media optimizer, based on advertiser’s need we can choose one:

    1. Pixel tracking
    2. Feed tracking
    3. Combo tracking

     

    Media optimizer tracking if enabled will have a unique click tracking code in the URL of the Adcopy, keyword or a placement in each campaign managed by media optimizer. It is through this code the technology will track ad impressions, clicks and conversions.

    Pixel Tracking —  In this type of tracking, you must include either a 1-pixel x 1-pixel transparent image or a JavaScript tag on the conversion page, with information embedded in the tag to note the transaction data and send it to a tracking server.

    This type of tracking must be used for advertisers whose conversions are online and no offline calculation is required for the same. Also they won’t delete augment, or correct previously-reported conversions.

     

    Feed Tracking —  In case the business requirement is to track conversion data from a different method, Media optimizer provides an option of sending a daily feed file with conversion data.  This data can be either aggregated daily by keyword or consist of individual transactions.

    This type of conversion tracking can be used by advertisers who already has a conversion tracking system in place that provides conversion data at a keyword level. Also, the advertiser wants to be able to delete, correct, or augment previously-reported conversions (such as when orders are canceled, rebates or partial refunds are applied, or applications are converted to loans).

     

    Combo Tracking — Combo tracking is a combination of both pixel and feed tracking methods and can be used to track online conversions, and capture offline conversions using another method. To accomplish this method, it is necessary to include either a 1-pixel x 1-pixel transparent image or a JavaScript tag on the conversion page and send a daily feed file with transaction-level conversion data that was captured by another method for the offline conversions.

    This type of tracking can be used by advertisers where the customer completes one phase of a transaction online (for example, applying for a loan), but a second phase in the transaction (such as the application approval) occurs offline. Also, in the cases where purchase products online but discounts, credits, or other adjustments may be applied to the transactions in an offline process.

    Most of the event types are easily tracked with the Media optimizer conversion tracking. Also, it is absolutely essential to switch off Google's Conversion Optimizer or ECPC Option to let the optimizer do its job in the best possible way. However, the optimizer lets other tracking methods track conversion as well by adding extra piece of code in the URL of the entity being tracked for instance keywords, ads placement etc.

    Based on the business requirement the advertiser can choose anyone of the conversion tracking methods and start gaining insights on what is working for the business and what not. Also. This would help digital marketers to get more customers and improve the ROI of the business.

    Be the digital marketer with intent and insights, track your conversion and let each of the marketing effort count.

     

    ** Data Taken from AMO Help Section.

    TanmayMathur
    Adobe Employee
    TanmayMathurAdobe EmployeeAuthor
    Adobe Employee
    September 5, 2016

    The Blog Post below is from Pete Kluge, Product Marketing Manager for Adobe Media Optimizer

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    5 Reasons Now Is the Time to Implement Dynamic Creative

    Dynamic Creative Optimization (DCO) was introduced to marketers a decade ago, but after the initial excitement, the implementation and delivery of use cases didn’t match the expectations. However, today, DCO is riding a new wave of adoption by advertisers and agencies.

    Gartner shows DCO rising on the “Slope of Enlightenment” for its July 2016 Digital Marketing and AdvertisingHype Cycle. According to Gartner, this is the phase where “more instances of how the technology can benefit the enterprise start to crystallize and become more widely understood.” We believe several factors contribute to this newfound enthusiasm.

    Internal Image - 5 Reasons Now Is the Time to Implement Dynamic Creative

    Five Reasons Why DCO Is Back and Stronger than Ever

    1. Programmatic Advertising Powers DCO and Retargeting
    Before demand-side platforms (DSPs) and real-time bidding (RTB), media for DCO was bought directly from the publisher or an ad network. Getting sufficient scale and unique reach could be a challenge—an advertiser had to buy media on multiple publishers or ad networks. Reaching many small and granular audiences required a manual and cumbersome set-up process. This lacked efficiency and there was no way to de-dupe user targeting among the different inventory partners.

    Being able to retarget ads to consumers who show interest in products and services through their online behaviors is an important application of DCO and RTB technologies. Combining DCO with real-time audience-based buying through a DSP addresses key challenges around scale and unique reach. The DSP is integrated with many ad inventory sources for maximum scale and has controls like frequency capping across all the inventory, allowing the advertiser to better manage scale and reach. Advertisers now have access to vast amounts of data and advanced technology platforms to apply that data to display advertising campaigns.

    2. DCO Moves Beyond Retargeting
    Early on, DCO was used primarily by the retail and travel industries for retargeting high-value consumers with advertising. Given the large number of possible ad permutations for retail and travel (thousands of SKUs or origination/destination combinations), these are the logical verticals to be the first to adopt DCO. But advertisers now grasp how DCO can be used beyond retargeting for campaigns across the marketing funnel and across verticals.

    While DCO campaigns at the lower end of the funnel—like retargeting and loyalty programs—have always made sense, DCO is also now being applied to top-of-the-funnel prospecting and awareness campaigns. Even if very little is known about a user (for example, from a geotargeted prospecting campaign), DCO can algorithmically optimize the ad content to drive the best performance for the advertiser. DCO evaluates all possible ad permutations and optimizes creative elements and delivery to the best-performing option for the advertiser’s objectives. Any vertical that has granular audience data can benefit from DCO.

    3. It’s All about Experiences
    Consumers are engaging with brands across multiple devices and digital channels and they’re expecting a personalized, consistent, and compelling experience whenever and wherever they’re accessing brand content. This is truer today than ever before. The fact that ad blocking is on the rise sends a clear signal that consumers are demanding better ad experiences.

    DCO is the solution advertisers need to deliver a better experience for their consumers. Advertisers have access to deeper audience insights than ever before and DCO allows advertisers to deliver relevant and engaging ad experiences, and in turn drive better engagement and performance.

    4. Data Feeds Are Everywhere
    A key component of DCO is the data feed. This is the content that is used to populate a dynamic ad in real time. In a change from just a few years ago, many advertisers are now using data feeds regularly to power their online advertising.

    In addition, DCO technology has become more flexible in ingesting data and it no longer requires a third-party vendor. For example, a Google Merchant Center feed can easily be translated for DCO and an Excel file can be mapped for DCO.

    Digital advertisers are generally more comfortable using data feeds and customer files to power their advertising campaigns, and they have a greater awareness of how data feeds support DCO.

    5. Creative Flexibility
    While early DCO vendors required an advertiser to select from a set of predefined and inflexible templates, today’s DCO solutions offer an agency and advertiser complete control and flexibility over the creative layout design. Dynamic ad templates can be custom built for the advertiser so they have control over how their brand is conveyed and experienced by the consumer. The ad layout can include features like a promotion countdown clock, drop-down box, search form, and product carousel, and can be delivered on mobile and across devices.

    What does the future hold for DCO?
    As DCO approaches the “Plateau of Productivity” on the Gartner hype cycle, it will attain mainstream adoption. We will continue to see advertisers better understand how DCO works and what it can do for them. Access to data and ad-buying technology combined with DCO enables advertisers to deliver relevant and personalized ads to drive better performance and improved ROI.

    Last year, Adobe acquired Tumri from Collective, adding DCO to its advertising technology stack alongside Adobe Media Optimizer, a cross-channel programmatic ad-buying platform, and Adobe Audience Manager, a data management platform (DMP).

    This is the first in a series of five blogs on DCO. Stay tuned for blogs on what DCO can do for advertisers.

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    Read the original Blog post at - https://blogs.adobe.com/digitalmarketing/advertising/5-reasons-now-time-implement-dynamic-creative/

    M
    Adobe Employee
    ManuMalhotraAdobe Employee
    Adobe Employee
    September 9, 2016

    The Blog Post below is from Manu Malhotra, Consultant for Adobe Media Optimizer at Adobe

    Edit: This article has been published as a Knowledge Base article for Adobe Media Optimizer and can be viewed here yes

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    Dealing with Model Inaccuracies

    AMO technology predicts performance based on data models it builds over a period of time. However, at times, it is very challenging to get the models accurate. When models go off because of various factors changing in the eco system, it results in uncertain performance. Hence, it is very important to keep a close eye on model accuracy.

    What is Model Accuracy?

    Model accuracy shows how precise the cost and revenue models are which are being used to optimize bids. In simple terms, model accuracy is a comparison of predicted performance and the actual performance. You can check model accuracy by clicking on Portfolio Cards > View. Day on day break down of accuracies is listed in the table.

    The model accuracy reports for multiple portfolios can also be easily accessed in AMO by clicking on Reports > Create Report > Model Accuracy > Forecast Accuracy

    Why is it important?

    If model accuracy is off, it simply means AMO doesn’t have as much information as is required and hence the bidding on the bid units is not resulting in expected impactful returns.

    Why do I have inaccurate cost models and what can I do to correct them?

    • Following a large scale account audit, check if you have changed a large number of landing pages / ad copies. In such a case it might result in cost model inaccuracy. It should take some time for quality score to build again.
    • Nature of the business – Check if there is a case of seasonality or a big event such as Olympics or change in competition such as a new entrant or aggressive strategy by competition. This can bring in cost model inaccuracy. Though AMO will adjust and adapt to changes but it may take time. In such cases try reducing the cost half-life to make AMO take more consideration of recent change in eco system.
    • New Additions – If new campaigns and keywords are getting added, this will impact cost models.  In such cases, you might like to add the new campaigns in active state initially in a separate portfolio. Else, wait for some days and AMO cost models will stabilize.
    • Significant changes in settings – Any changes in campaign settings such as geo targeting or match type strategy at search engine level can result in cost model inaccuracies too. You can either wait for next sync cycle for AMO to fetch the changes from search engine or you can make changes directly from AMO so that the technology is very much aware of the changes.
    • Significant changes in budget: This is a tricky scenario, try sticking to small and incremental changes in budgets. However, if you do have to make drastic changes because of business requirements, be ready for cost model inaccuracies. To handle it, try reducing the half-life.
    • Changes beyond your control: Bing updates its search algorithm, google decides to do away with right side ads, what do you do? Try reducing the half-life and technology should well adapt swiftly to the change.

    How to handle Revenue Model inaccuracy?

    • Special promotions: The rate of conversions will see a jump and models might take some time to adapt and learn from the changes. It is suggested to reduce the half-life for models to adapt and learn quickly.
    • Market competition: In case of competition getting aggressive or new entrants bidding high results may differ from forecasted. In such a case resort to reducing revenue half-life for models to catch up.
    • Lag in revenue numbers from feeds: This can happen for operational as well as other business reasons. In such a case try increasing revenue half-life to accommodate the lag in reporting revenue.

    Apart from these scenarios, at times there are pixel tracking codes issues where in pixels aren’t firing for some reason on the web properties. It is best recommended to highlight such an issue to AMO and the client team to troubleshoot it.

    nidhik
    nidhik
    Level 4
    September 12, 2016

    The Blog Post below is from Nidhi Kapoor, Senior Consultant for Adobe Media Optimizer at Adobe

    *****************************************************************************************************************************

    Bulk Edit Feature to Support Manual Bidding

     

    ‘’Manual Bidding” is the most common and important step seen in case of newly created campaigns. This method let the advertiser set the manual CPC for keywords as per its targets and enhance their exposure.

    AMO has its competitive bidding technology with which it takes the control and automate bids on bid units (keyword + match type) using its algorithm such that it maximizes advertiser’s objective.

    The process being followed in AMO for newly created campaigns is that when they are new should be kept under ‘Manual Portfolio’ first for few days before getting assigned to the ‘Optimized Portfolio’. This is to ensure that they build good performance data history around them before getting under AMO’s technology. In an Optimized portfolio, bid units are bid automatically by the technology as per its algorithm.  The factor history plays an important role in bidding technology of AMO as it helps in generating the models (cost & revenue) and therefore calculating appropriate bidding for bid units.

    Usually the common method seen among advertisers for manual bidding regularly for keywords in bulk are through the bulk sheet method. In this, keyword's bids are modified as per their performance, business requirement or some best practices such as for example:

    • Keywords with conversion and avg pos worse than position 3 = +20%
    • Keywords with conversion and avg pos between 2 and 3 = +10%
    • Keywords with no conversion and avg pos worse than 3 = +30%
    • Keywords with no conversion and avg pos better than 2 = -10%

    These increases or decreases are made as per the bids in ‘current bid column’. This method requires downloading the current status of keywords first in a bulk sheet format and then making changes and posting the modifications later on through AMO on search engine.

    There is also another way to execute and expedite the manual bidding is by using AMO’s ‘bulk edit feature’.

    To use the ‘bulk edit’ feature, visit the keywords tab, create a filter to select the keywords to perform the bid increase/decrease action. To start with, use the ‘Add Filter’ option, select the date range of the data on which the analysis will be appropriate for keywords and then filter the keywords on the basis of their conversions/avg. position data etc.

    Select those filtered keywords > click on the ‘bulk edit’ option on the left > select the ‘available actions’ such as ‘formulaic bid change’ in case of ‘manual bidding’ and then increase or decrease the percentage depending upon the data, best practices, budget targets and requirement of exposure. In case of increase, it’s always good to set the max limit and in case of decrease, the minimum bid limit to avoid the sudden increase or decrease. Click ‘Apply’ then to execute the changes.

    Changes made will be available under ‘bulk edit status’ link under the ‘filter’s row. This is one of the quickest method to avail the option of manual bidding in bulk, change the ‘status’ of keywords, ‘create’ and ‘Find & Replace’ in bulk.

    Depending upon the number of keywords to be manual bid, filter requirement and the frequency of changes to be made, a choice can be made between the options of bulk sheet or bulk edit to be used.

     

     

     

     

      TanmayMathur
      Adobe Employee
      TanmayMathurAdobe EmployeeAuthor
      Adobe Employee
      September 14, 2016

      The Blog Post below is from Pete Kluge, Group Product Marketing Manager for Adobe Media Optimizer

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      Creating Relevant Ad Experiences Without Thousands of Ad Units

      Consumers are frustrated with the number of irrelevant advertisements they have to deal with daily:

      • According to Infolinks, only 2.8 percent of study participants thought ads on websites were relevant.
      • Adobe and PageFair found that in the United States, there were 45 million monthly active users (MAUs) of ad blockers during Q2 2015—equal to about 20 percent of Internet users, according to Strategy Analytics.
      • According to PageFair, 33 percent of Internet users find display ads completely intolerable because they are not pertinent or interesting.

      To rebuild consumers’ trust and drive better engagement, businesses today need to build more personalized ads.

      Many advertisers still use static ads for their display advertising. This means that the actual content within the ad doesn’t change and therefore a different ad must be created for each audience segment. For any brand that is interested in delivering personalized ads to highly segmented audiences, the number of static ads necessary becomes a nightmare for the creative and traffic teams. The result? Impersonal ads that don’t engage the customer.

      On the other hand, dynamic ads use a single ad layout (or dynamic template) that can be populated on-the-fly with predetermined personalized content.

      Introducing Dynamic Creative Optimization
      Dynamic creative optimization (DCO) allows advertisers to drive better engagement and performance from their ads by delivering the most relevant experience to the user in real time. DCO uses an ad layout with several dynamic elements that change depending on who the user is or which audience is actually seeing it. The content changes can include things like the product description, image, price, and call-to-action (CTA). Promotional copy can also be switched dynamically.

      Retargeting campaigns is currently the most common use for DCO. It requires an advertiser to maintain a data feed with the dynamic outputs used to populate the ad at the time of the ad call. The ad is assembled in real time to deliver the most relevant content for any user. But DCO is not only for retargeting. It enables advertisers from a variety of verticals to deliver personalized experiences for consumers across the marketing funnel.

      internal-image-creating-relevant-ad-experiences-without-thousands-of-ad-units

      Elements of a DCO System
      DCO works by combining several elements to output a real-time and relevant ad. Here’s a primer on some terms and definitions related to dynamic creative:

      Dynamic Triggers: Pixels on a brand website capture retargeting values (i.e., product SKU) and are used to trigger outputs from the content source—such as data feed or API—to populate a dynamic ad. Other elements that can trigger dynamic ad content include geolocation and audience segment data.

      Content: In the case of DCO, content refers to the advertiser feed, API, XML, business rules, offer grid, or product catalog that the dynamic trigger references for outputs to populate fields in the ad template. Content is provided by the advertiser, ingested by the DCO system, and output in the dynamic ad.

      Dynamic Outputs: These outputs are ad elements that can be referenced by a dynamic trigger in the content source. Examples include images, URLs, and copy that are referenced in a data feed.

      Variable Attribute: Variable attributes are dynamic elements within ads that are not referenced from the content source by a dynamic trigger. Delivery of the ad element is based on business rules (like A/B testing) and is not feed based. Examples include CTA, background color, and offer. Some items, such as copy or CTA, can be either a dynamic output or variable attribute, depending on setup.

      Ad Layout or Dynamic Template: In DCO, these elements are the shell design that houses the dynamic content.

      Experience: An experience is created by the combination of one ad layout and one or more content sources.

      (No Cookie) Default Ad: The default state of a dynamic ad occurs when cookie targeting is missing or does not match the content source. Advertisers predefine defaults for each dynamic output. For example, if the DSP makes an ad call and there is no matching DCO cookie or if the dynamic trigger does not match the content source, the default experience will be generated.

      DCO Delivers
      Delivering highly personalized ads improves your campaign effectiveness. DCO can help manage the expense of ad creation and production by using an ad template and data feed to create infinite ad combinations without infinite time and money.

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      Read the original blog post at - https://blogs.adobe.com/digitalmarketing/advertising/creating-relevant-ad-experiences-without-thousands-ad-units/

      TanmayMathur
      Adobe Employee
      TanmayMathurAdobe EmployeeAuthor
      Adobe Employee
      September 12, 2017

      The Blog Post below is from Marie Joshi & Kyle Johnson

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      From Segments to Spots: A TV Data Primer

      As the worlds of live TV and digital advertising continue to converge, advertisers, agencies, and media buyers are being besieged by unfamiliar acronyms. Traditional media buyers, who have looked at the world through the lens of GRPs on linear TV for decades, now must deal with new types of inventory with fluid definitions such as VOD, OTT, CTV, and FEP. Not to mention the new types of currencies that they’re now being exposed to: CPV, VCPM, CPCV, and CPAs. Moreover, consumers are looking for consistent messaging across channels — whether that be on their desktop, mobile device, or connected TV. Illustrative of these shifting dynamics, two major TV media companies shook up their management teams in the last few months — both Fox and Comcast promoted individuals with advanced advertising or digital backgrounds to head their general ad sales teams. As the line continues to blur between traditional and digital TV, media buyers and sellers are recognizing that audience data, both at the personal level and across devices, will determine the path of television for the next decade. And although some terminology may sound a bit like alphabet soup at first, it doesn’t need to be that hard for those seeking an audience-based approach to TV media buying. Here’s a few key takeaways for marketers and advertisers seeking to work with TV and data in 2017 and beyond.

      Advanced TV buying is here today, and it doesn’t need to be a daunting new channel for buyers to learn. The advantages of Advanced TV buying are simple, and they reflect many of the same benefits offered by existing digital advertising. In fact, many of the providers that are leading the pack in digital also offer TV solutions. This is even evident within our own walls, with Adobe Advertising Cloud making video inventory available across digital channels, as well as OTT and linear platforms.

      Key Takeaway #1: Use digital learnings to more effectively leverage data in TV buy.

      Our clients have used data to make more efficient media purchases in digital for years. Using a strong core of first-party data, brands can more easily personalize messages for consumers, limit the number of times they see a message, and suppress messages if they’ve already converted. This first-party data, combined with third-party data becomes a very powerful tool.

      The amount of data available for TV grows exponentially. Relatively recently, connected devices, MVPDs, channel guide companies, set top box owners, aggregators (like FourthWall), and TV manufacturers have started to capture viewership data in a privacy friendly and scalable way. Advertisers can use this data, in conjunction with their existing data assets, to create plans, find deeper insights, and better understand the path to purchase with all of their buy considered. While similar to addressable advertising in concept, Advanced TV instead uses data to make traditional live linear TV buying more targeted, and does not require working with a MVPD, or dynamic ad insertion. Advanced TV, like digital advertising, emphasizes audience over the environment and content associated with the ad inventory.

      Key Takeaway #2: The confluence of video formats makes data more important than ever.

      OTT, or “Over-The-Top,” is a term used to define any TV or video content that is delivered via the internet, rather than though a tradition cable or satellite subscription. Through this definition, Connected TV (CTV), Full Episode Players (FEP), and Video on Demand (VOD) are sometimes considered sub-categories of OTT.

      It is through both OTT and Advanced TV that data becomes relevant for national TV advertisers. Having TV delivered over IP enabled devices means that advertisers and marketers can more easily connect the dots between online and TV viewership behaviors. As the screens that viewers typically use to watch TV have shifted to mobile devices, laptops and TV connected devices, the door has been opened for marketers and advertisers to use linked digital data to help them plan, buy, and measure their TV buys. First-party data from web analytics, second-party data from co-op partnerships, and third-party syndicated data can now be linked to live, linear viewership by matching through the IP, thereby keeping the data PII compliant and analogous to current digital targeting methods.

      Key Takeaway #3: Anonymous, cross-channel messaging is just as important in TV as it is in digital.

      One of the first lessons learned in digital was to design solutions with privacy in mind. Organizations like the DAA and NAI govern online practices of what data can be captured, and how it can be used. Prior to the creation of these guidelines, it was the wild west of digital privacy. Like these early days of digital, TV data collection is just now being formalized, and the guardrails are being placed. One of the best practices that we encourage our partners to follow is to have an opt-in consent for consumers. Any different way of interacting with a technology partner can be confusing or scary for consumers. With opt-in consent, we give them the power to decide where and how their data is shared.

      Opt-in consent is only one of the levers that we’re using for a better consumer experience. Through Adobe’s DMP, Audience Manager, we can anonymously link consumers across their multiple connected devices. This allows brands to provide consumers with the right message, at the right time, and at the right frequency — a practice that we take for granted in digital, but that is just establishing itself in Advanced TV.

      Through this transparent exchange of anonymous data elements, both parties benefit from an improved experience. Consumers receive personalized content, discounted product offers, and streamlined user experiences. Similarly, brands receive vital revenue streams supporting multiple online business models. Together, the two approaches to data collection — in TV and digital – pave a path for Adobe to be a leader in providing advertisers and marketers with clear understandings of the privacy of first-, second-, and third-party data — no matter the source.

      Key Takeaway #4: Data provides new opportunities for TV media attribution cross-platform targeting.

      Through the linkage of digital data to TV viewership data, the current use cases enabled by data-driven TV have exploded. Let’s run through a hypothetical example:

      You’re an automotive advertiser with a website, mobile app, and online store. Using Advanced TV and Adobe Audience Manager together, you could prove website lift, measure app installs after exposure to ads, and integrate TV into your path of purchase measurement methodology. By partnering with Adobe and a third-party offline measurement provider, you could even do true offline sales attribution and measurement in a way that is similar to how you run digital studies. Speaking of digital, let’s say you are also a big digital video spender. Advanced TV would allow you to retarget a user that saw an ad on TV in a full episode player environment online, or vice versa. Finally, controlling frequency across devices and TV is no longer a pipe dream — you can do it in platform.

      Through these four key takeaways, we hope that you’re encouraged by the similarities between your existing digital media campaigns, and the possibilities now available on TV. Every day we are moving closer and closer to a fully cross-channel, data-driven experience for customers and brands. And consequently, creating a more relevant advertising experience for consumers. From where we sit, that’s a good thing for everyone involved.


      The Blog Post below is from Keith Eadie VP, Revenue and Partnerships for Adobe Advertising Cloud

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      Adobe Advertising Cloud Taps Spotify for Cross-Channel Audience Buying

      Can you hear that? It’s the sound of an estimated 146 million global consumers streaming music this year. In today’s on-demand world, individuals consume what they want when they want it, and digital audio is no exception.

      That’s why Adobe Advertising Cloud added digital audio as the latest format included in our cross-channel demand-side platform. But one popular streaming music service offers a compelling, full-funnel solution that goes well beyond just audio. To that end, Adobe Advertising Cloud is thrilled to announce that we have added Spotify as a premium inventory source for digital audio, display, and video advertising formats. Over 50 advertisers – including Dr Pepper Snapple Group– have successfully executed over 70 campaigns through Adobe Advertising Cloud’s DSP in a closed beta program.

      “Spotify is one of the premiere streaming music destinations for consumers of all ages, and has done an incredible job translating that engagement into a compelling value proposition for marketers,” said Keith Eadie, vice president of revenue and partnerships, Adobe Advertising Cloud. “By taking a calculated approach to not only audio, but also display and video ad formats, Spotify has positioned themselves to be an instrumental partner for brands looking to reach and engage users across multiple channels.”

      Spotify is available in 60 markets, and reaches over 140 million highly-engaged music fans. In fact, cross-platform Spotify users spend an average of two hours per day on the streaming service. Spotify uses first-party login data to create a 100 percent authenticated audience across mobile, desktop and connected devices. Furthermore, Spotify offers the ability to target by age and gender, specific genre or language, and even specific playlists, in order to reach users who like to listen to music tailored to specific activities or moods.

      “Digital audio is exploding, and Spotify provides a true cross-channel offering with not only streaming audio, but also video and display ad formats that engage consumers in a natural and intuitive way,” said Brit Sundberg, programmatic media and data strategy manager, Dr Pepper Snapple Group. “Their integration with Adobe Advertising Cloud gives us instant learnings across both desktop and mobile, and allows us to deliver meaningful brand messaging at the perfect time to a highly relevant and engaged audience.”

      Marketers can use Adobe Advertising Cloud’s DSP to purchase multiple ad formats across Spotify’s premium cross-channel properties, including 15- and 30-second mobile in-app audio with companion banner; static and rich-media display on desktop; and digital video on desktop and mobile apps. Adobe Advertising Cloud supports Spotify inventory buys via Deal ID-supported private marketplace environments. Available reporting metrics include: impressions, quartile completion percentage, viewability (display and video only), geography, demographic, and ad frequency.

      Spotify is now available to Adobe Advertising Cloud clients in the U.S., Canada, Europe and Australia. Reach out to your Adobe account representative to learn more.

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      Blog Post - https://blogs.adobe.com/digitalmarketing/advertising/adobe-advertising-cloud-taps-spotify-cross-channel-audience-buying/

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