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TanmayMathur
Adobe Employee
TanmayMathurAdobe Employee
Adobe Employee
August 2, 2016

Blog and Article Sharing Corner

  • August 2, 2016
  • 13 replies
  • 54030 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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    R
    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
      November 23, 2016

      The Blog Post below is from Sam Haseltine, Solutions Consultant at Adobe

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      Getting Social-Media Marketing Content out of the Silo

      In recent years, we’ve watched as social-media marketing has evolved from a task often given to interns into an integral part of most business strategies, strongly tied into most businesses’ goals. Today’s consumer interacts with your brand across multiple channels and expects a consistent, unified experience. However, delivering on those expectations is challenging when internal marketing teams are siloed, failing to communicate or collaborate across channels. When social, onsite, display, and advertising don’t talk to one another in an actionable way, how do you provide a consistent and engaging experience for the customer?

      The Challenge: Social-Media Marketing Content Is Siloed.
      Marketing departments often employ lean methodology — the build, measure, learn, feedback cycle. Yet, when silos are created, each department runs through the cycle independently. The social team builds content, measures its performance, and learns from it; but each person works autonomously with nothing to connect the channels. The challenge? Siloed social content makes it impossible to provide consistent messaging — whether onsite, in display advertising, or elsewhere.

      From an organization-wide perspective, lack of integration between social media and larger marketing initiatives hinders the ability to tie social objectives to business results. Worse, it can result in disastrous outcomes. Remember the infamous McDonald’s social campaign, #McDStories? Scores of customers used the hashtag to share horror stories about the brand and their food — a perfect example of what can happen when social strategy isn’t properly integrated with the marketing mix.

      The Solution: Create an Optimized Customer Experience.
      How can breaking down barriers around social empower an optimized customer experience? As social content becomes more integrated, and the right messaging is delivered and measured, introducing a common language across teams can dissolve the walls that exist within silos.

      Three key words that are useful for connecting departments are assets, analytics, and audiences.

      Using this common language to connect the various departments results in the feedback loop looking dramatically different. The social team continues to build assets; but now, the impact of this content is measured by the analytics team. At the same time, a team working with audience management can augment the knowledge and data from other sources to gain a more complete picture of social-customer reactions.

      By employing this common language, it’s possible to activate a multichannel customer experience that’s consistent with what the customer first saw. Defining assets, analytics, and audiences is far more effective than maintaining siloed teams, drives internal efficiencies, and is key to delivering consistent, optimized customer experiences.

      The Takeaway
      Organizations that make the transition to a more unified place build teams that function well using a single platform. Accountability, measurement capabilities, and visibility improve, allowing companies to visualize the impact social-media marketing is having on the business. Connecting social assets with analytics through a common language makes it easy to compare apples to apples when looking at different marketing strategies, resulting in simpler measurement and more effective planning.

      In today’s experience-driven world, forward-thinking companies are making an organizational shift toward convergence by creating, delivering, and measuring cross-channel social content. Those companies that are successful have learned to break down the walls between marketing and communications, empowering optimized customer experiences with social content that’s consistent, tracked, and optimized.

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      Read the original blog post at - https://blogs.adobe.com/digitalmarketing/social-media/getting-social-media-marketing-content-silo/


      The Blog Post below is from Jonathan Bush, Manager of Social Media Insights for Adobe’s digital marketing business unit. 

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      Measuring the Role of Social Media in the Customer Journey

      Understanding your customers’ journeys is critically important to improving their experiences, increasing their satisfaction rates, and decreasing attrition. Social-media channels play increasingly important roles in customer journeys, providing new ways to connect and engage with customers on their own levels. However, measuring social media’s role in the customer journey comes with some inherent challenges.

      Social Media and the Customer Journey
      Every day, customers engage with social media. However, how they do this is different for each person. With a variety of social-media channels to choose from — as well as a variety of ways to interact with each of them — understanding your customers’ exposures to and engagements with your brand via social media can be tricky. It’s important to be able to understand where your customers enter into the sales funnel — and social media is a key part of that process.

      Social-Media Measurement Pitfalls
      Social-media measurement can be tough for a number of reasons. One hurdle you’ll face is privacy policies. While certain platforms — for example, Twitter — tend to be very open and allow robust pictures of each customer’s experiences and preferences, others are more closed — Facebook or LinkedIn, for instance. On those platforms, you’re typically only able to see how customers react to your posts and not what they might be posting on their own personal pages. This type of privacy is intentional on the part of the platform. However, it limits the information that you can use to fully understand the customer journey and make strategic decisions.

      Three Social-Media Metrics That Enable You to Better Understand the Customer Journey
      This can make it difficult to understand how to properly measure success on social media. While success tends to vary according to your goals, a few key metrics can help you understand whether your brand is on the right track. At a high level, three of the social-media metrics you should be most concerned with include impressions, engagement, and brand perception.

      1. Impressions
      Depending on who you talk with, impressions may also be referred to as reach. Impressions give you an idea of how many people are actually seeing your content. Remember, just because you have one-million followers does not mean one-million people are seeing every update. For some updates, the impressions will be far, far less than one million; while for other updates, they could actually be much higher than one million. Impressions are influenced by things like how many people engage with your post, whether you paid to advertise the update, and more. Knowing whether your message is really getting out there is key to understanding whether social media is right for you. Much as you wouldn’t continue to invest in a billboard on a road no one ever drives on, it doesn’t make sense to invest time and money in updates that no one ever sees. Understanding your impressions can help you determine what is working and what you might need to retool.

      2. Engagement
      Even if your posts receive one million impressions each, you obviously won’t receive one million likes on each of them. Social media just doesn’t work like that. For your followers to take action — to “like” or “share” your posts, for instance — they need to feel compelled to do so. Engagement is really the measure of how compelling your content is to the audience that is seeing your posts. If you are posting update after update and hearing crickets chirp in return, there’s likely a problem. That issue could be your targeting, your timing, the content you’re linking to, or your updates themselves. If you have a low engagement rate, it’s time to start testing possibilities for optimizing your social-media success.

      3. Brand Perception
      It can be difficult to decipher what someone really thinks of you. You’ve long had methods — such as surveys and focus groups — to help you better understand how customers perceive your brand. Now, social media allows you to gain a level of insight you’ve never before had. The only trouble with tracking this metric is that the data is voluminous; people may be talking about your brand on an assortment of platforms, each expressing diverse emotions and various nuances. It’s tough to keep up. Many brands purchase social-media listening software to help them understand the perceptions customers have of their brands on social media. However, this is not a foolproof system. Remember, computers cannot understand sarcasm. So, what’s a brand to do? A national airline company actually employs individuals — their social-media support team — who simultaneously respond to tweets and tag those tweets with sentiments and topics to track brand perception in real time. By making this part of their everyday workflow, they save time while allowing humans to interpret the nuance of brand perception.

      In Closing
      Social-media metrics don’t have to be a mystery. Incorporating the right social-media metrics in your marketing-attribution model can help you better understand whether customers are seeing your updates and engaging with your brand as well as how they are, ultimately, feeling about your brand.

      Jay Baer says, “the end goal is action not eyeballs” — and he’s right. However, to get action, you must understand whether customers are seeing your content, how they are interacting with it, and how they are feeling about their overall journeys with your brand. Your goal is to ensure their customer journeys are happy ones. Make sure you understand whether your metrics indicate that they are.

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      Read the original blog post at - https://blogs.adobe.com/digitalmarketing/social-media/measuring-role-social-media-customer-journey/

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