Acquisio big data_management_june_2012_final

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As the outlets for online interaction grow, methods of online marketing also grow — as does the volume of digital data to be managed.

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Acquisio big data_management_june_2012_final

  1. 1. Big Data ManagementA Digital Marketing Depot Research Report
  2. 2. Big Data Management IntroductionA s the outlets for online interaction grow, methods of online marketing also grow. Marketers can choose from a broad spectrum of ways to spend their marketing dollars, ranging from search engineoptimization (SEO) to pay per click (PPC), and from display to social mediaand even email marketing.Along with it comes a torrent of digital data. Multiple data sets from disparate sources are ushering in an era of big data,such as search rankings, site visits, and click-data. When mined, these data sets reveal insights into the success of onlinemarketing strategies, as well as consumer behavior and demography.Big data is defined differently by different groups of people. Definitions are driven by individual and corporate goals forusing the data. From an e-commerce-based company to a search marketer, from display teams within an ad agency to aluxury brand, data is at the center of business decisions today. Yet, while data is used differently, the goal is often the same:to drive more effective, efficient messages through relevant advertising.The purpose of this E-Book is to examine data management issues, explore how data influences marketing strategies andevaluate how success can be measured through the big data lens. Acquisio and Digital Marketing Depot would like tothank the following Search Engine Land columnists for their contributions to this E-Book: Benny Blum, Director, Strategy &Analytics at eSearchVision; Nathan Safran, Director of Research at Conductor, Inc.; Frost Prioleau, CEO at Simpli.fi; andAaron Doades, Director of Product Management at Magnetic. This E-Book was prepared by Nathania Johnson. n© 2012 Third Door Media, Inc. • http://digitalmarketingdepot.com 1 Email: whitepapers@digitalmarketingdepot.com
  3. 3. Big Data ManagementData Management IssuesAccording to a 2011 IDC study, the world’s data doubles every two years. According to a 2011 IDCOnline marketing is no exception, as massive amounts of data are beingcreated by search queries, social signals, page visits, and more. The volume study, the world’s dataof data being generated naturally brings about issues involving collection,storage, and integration. doubles every two years.What Types of Data are CollectedOnline marketing campaigns are planned using a wide variety of available data. Keyword search volume, cost per click(CPC), cost per thousand (CPM), and cost per acquisition (CPA) are data points provided by an advertising network whichhelp interactive media planners maximize their budgets. Additionally, demographic, behavioral, and geographic data helpsmarketers target specific consumer groups who are more likely to be interested in an advertised product.Once a campaign is underway, even more data is generated. Performance data such as conversions, conversion rates,impressions and click through rates (CTR) inform marketers about how successful their campaigns are.Where Data is StoredWith the sheer amount of data being collected, storage is becoming a burden. Servers are expensive, especially whenconsidering the cost of employing IT professionals to manage them.Cloud computing is an evolving industry where third party companies offer data storage and file sharing on remote servers.Management of the servers is included in the cost. The overall cost of utilizing cloud computing generally overrides the costof managing data storage in-house. Third party analytics and bid management solutions are increasingly adding cloud computing as an offering in their service packages.Third party analytics and bid management solutions are increasingly adding cloud computing as an offering in their servicepackages. The advantage to the marketer is getting data management and data storage from a single vendor. Additionally,fewer importing and exporting file tasks are required, saving the marketer time to focus on conversion optimization.Manual versus Automated DataThe ability to store and manage data through a third party vendor highlights the advantages of employing automationto manage advertising campaigns. Search marketers have a long history of importing data sets into Excel, and manuallysetting up formulas to evaluate campaigns and create strategies. With the onset of big data, the spreadsheet method isincreasingly becoming an archaic one.Automated optimization eliminates the time required to manually pull reports, analyze them, and implement changes.Another major advantage in analytics systems is de-duplication across channels. Again, marketers benefit from solutionsthat offer both bid management as well as analytics, instead of resorting to juggling multiple tools from several vendors.Combinations of individual components can be used to identify weaknesses and opportunities for future efforts, embracinga more predictive approach. When understanding of your optimization factors has been attained, marketers can thenventure further into performance analysis.© 2012 Third Door Media, Inc. • http://digitalmarketingdepot.com 3 Email: whitepapers@digitalmarketingdepot.com
  4. 4. Big Data ManagementHow Data is IntegratedMarketers are transitioning to a holistic big data view of their marketing channels because consumers do not operate inchannel silos. Today, online users encounter multiple digital channels together in one place, even within the search engineresults page. You might see display ads next to your search query results, for example. A similar process exists on via socialmedia channels. The experience is a singular, fluid one, and that is the way marketers are beginning to think about theironline marketing.Modern enterprise search engine optimization systems now integrate with enterprise-level PPC systems, enabling themarketer to view paid search data alongside natural search data and make paid search bid decisions with natural searchdata, providing a holistic view. Additionally, the marketer can now see social data together with natural search data on thepage level in the enterprise SEO platform. This enables the marketer to gain a more complete view of how earned media isdriving traffic both on an individual page level, and in a holistic sense to their web properties.Building a Data Management StrategyOnce data is collected, stored, and managed, it can now be analyzed and actionablegoals may be set. While search marketers tend to view data as it pertains to lowerconversion funnel tasks, large swaths of data offer the opportunity to optimize upper While searchfunnel events, as well. First, data must be organized into valuable, accurate reports. marketers tendMeasurement and Analytics to view data as itIn order for the marketer to truly gain insight, data must be segmented. Strategic data pertains to lowersegments include brand versus non-brand, geography, device, advertising network, conversion funneland marketing channels. Tactical data segments include keyword sets, sites, advertisingnetworks, geography and demography. tasks, large swaths of data offer theOnce segmented, marketers can observe how data is trending. Evaluation of trends opportunity toshould occur within the context of a six to twelve month time frame. Filtering minimumconversions and generating visual presentations should prove useful to the analyst. optimize upper funnel events, as well.When data has been aggregated, segmented and trended, performance reports can begenerated. Brands should map out what they wish to do with the data and what types ofreports should be delivered to various departments and executives.Actionable GoalsSearch marketers are familiar with using data to create actionable results in keyword level bidding, optimization, andreporting. While search data drives response, it’s also become a vehicle for targeted brand awareness.Search retargeting, the intersection of search and display uses data to capture users who have expressed interest in a brandor service through search or site visits. To run a search retargeting campaign, a partner deploys cookies to track a user andthen subsequently target them once they detect them within their display network.Search data provides detail into what search term the consumer conducted, and site retargeting enables advertisers to seewhich pages within a site the consumer visited. The two strategies work together as one drives customer acquisitions whilethe other drives retention.Unique selling propositions can be aided by the data search retargeting produces. For example, a display ad can include theterm that a user searched for in a display ad. With the retargeting duo working in tandem, marketers can achieve a higher levelof ad personalization, serving up ads that tailor specific messages to consumers based on search and site activity.© 2012 Third Door Media, Inc. • http://digitalmarketingdepot.com 4 Email: whitepapers@digitalmarketingdepot.com
  5. 5. Big Data ManagementUnderstanding keyword order in searches can help marketers leverage sequencing to further improve campaignperformance. Since consumers often perform multiple searches prior to making a purchase, knowing where searchers arein a given sequence can help marketers allocate spend accordingly. If a consumer has already ruled out a competitor, forexample, a brand may capitalize on the increased odds that upper funnel decision affords.Customers demand and respond to the delivery of the most relevant information at a time that is closest to the point ofpurchase. Ads need to respond with customized messages. If a customer searched for a brand or product and did not convert,then the logical next step is to retarget them with sequential messaging that directly relates to their sequence of searches.Examining the sequences of customer events helps marketers to make more informed ad campaign decisions and impactthe end consumer result.Evaluating the Success of a Data StrategyWhen AdWords, or any other channel using a proprietary cookie or pixel trackingsystem, takes credit for all conversions that were touched by a Google paidsearch click at some point in the conversion funnel, conversion values reported inAdWords always skew high. When AdWords, or any other channel using aOne solution is to monitor multiple referring channels. However, this often leads todouble counting of conversions if we were to add up conversion counts across all proprietary cookie orpaid traffic channels. Conversions are totaled up across all proprietary marketing pixel tracking system,tools, and the total is much higher than the numbers in an analytics tool. Using takes credit for allan analytics system is the only way to ensure conversions are not being doublecounted and optimization efforts reflect true conversion data and revenue. conversions that were touched by a GoogleCampaign management tools and analytics provide fundamentally differentinformation. The fundamental difference between the two unique types of paid search click at somereporting systems is conversion attribution. point in the conversion funnel, conversion valuesAn analytics system leverages day-of-conversion attribution. Conversions andevents that happen on a given day are associated with that day regardless of reported in AdWordswhen the click occurred. Conversely, a campaign management system uses day- always skew high.of-click attribution, in which events are associated with the day the click occurredregardless of when the conversion occurred.There is a place for both day-of-click and day-of-conversion attribution models.Each one provides unique insights into the performance of a brand’s marketing efforts.Day-of-Click AttributionDay-of-click attribution is useful for bid management. To understand the value of a click, marketers need to knowthe number of conversions and events driven by common clicks, such as clicks driven by a given keyword, query, ordemographic target.Moreover, to understand hours of the day which drive more valuable clicks, for use in processes such as day parting,marketers need to be able to associate the time of the click with the conversion. What time a user converts is not relevantto the value of a click, as the only concern is whether or not a user executed a conversion after the click.The limitation with day-of-click attribution is the possibility of underreporting performance. Clicks made a few weeks agomay have driven conversions that occurred yesterday. In the day-of-click attribution model, those clicks would be associatedwith two weeks ago and would not be visible in report for today.© 2012 Third Door Media, Inc. • http://digitalmarketingdepot.com 5 Email: whitepapers@digitalmarketingdepot.com
  6. 6. Big Data ManagementDay-of-Conversion AttributionWhen reporting on what happened in a given time frame, a business operates on an accrual basis, money spent andrevenue received in a given week is associated with that week. Hence, day of conversion attribution is useful for reporting.The CEO and CFO needs to know how much the company made and spent for a given date range. Without day-of-conversion attribution, this would not be possible.Compensating for the ongoing historical attribution requires a complete cookie cycle view of performance data as theaccrual of conversions occurs. Daily reports can be prepared for all performance monitoring to understand trends andexpected performance on a single day’s events.The window of data analyzed should account for the vast majority of conversions as observed in the average time for clickto conversion, if not the entire observed cookie window up to a reasonable period of 14 to 30 days.ConclusionMarketers must begin to give due attention to plugging the available data into their marketing strategies. For some, thisbegins with starting to think about their marketing channels in a more holistic fashion. For others, it means taking action ona cross-channel line of thinking already in place by going after the tools and technology that will enable them to make thetransition into marketers leveraging cross-channel data.The growth in the volume and breadth of data across online marketing channels combined with the maturation ofmarketing technology to leverage that data cross-functionally means the era of big data is officially upon us. n© 2012 Third Door Media, Inc. • http://digitalmarketingdepot.com 6 Email: whitepapers@digitalmarketingdepot.com
  7. 7. Big Data ManagementThe leading performance media platform for agencies, Acquisio helps agency marketers buy, track, manage, optimize,retarget, and report on media across all channels—including search, display, and social media. Acquisio provides theindustry-leading technology for agencies buying ads on any online channel, helping them handle all tasks associatedwith performance advertising within an integrated platform. Unlike other solutions, Acquisio hosts its own third-party adserver and employs single tracking functionality across channels, allowing marketers unparalleled conversion and revenueattribution modeling and reporting.Learn more at www.acquisio.com6300 Auteuil, suite 300Brossard, QuébecCanadaJ4Ztoll-free: +1.866.493.9070direct: +1.450.465.2631fax: +1.450.465.2841 Digital Marketing Depot provides authoritative and actionable education about digital marketing issues. Register today for one of our free webcasts or download a whitepaper or research report about paid search advertising, analytics, e-mail marketing and other and digital marketing topics. Digital Marketing Depot is a division of Third Door Media, which publishes web sites, and produces in-person events and webcasts. Each of the four brands - Search Engine Land, Search Marketing Expo, Digital Marketing Depot, and Marketing Land - fosters continuing education, evolution and engagement for the community we serve.© 2012 Third Door Media, Inc. • http://digitalmarketingdepot.com 7 Email: whitepapers@digitalmarketingdepot.com

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