BEGIN:VCALENDAR PRODID;X-RICAL-TZSOURCE=TZINFO:-//com.denhaven2/NONSGML ri_cal gem//EN CALSCALE:GREGORIAN VERSION:2.0 METHOD:PUBLISH X-WR-TIMEZONE::America/Los_Angeles BEGIN:VTIMEZONE TZID;X-RICAL-TZSOURCE=TZINFO:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20090308T020000 RDATE:20090308T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T101500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T094500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3225 DESCRIPTION:\nAyres stressed the importance of organizations performing r egressions and randomized tests on their data to uncover business trends and winning techniques. Although these methods have been around for cen turies\, they’re increasingly essential to gain insight from the “mo nstrously large” databases of customer and business information that l arge organizations maintain today. “The speed (of analysis) and scale of the impacts (that this data) can have is what is revolutionary\,” Ayres said.\nHe offered several examples of businesses that are using th is type of “super crunching” to differentiate their businesses\, inc luding Epagogix\, a company that estimates the box office receipts of mo vies before they’ve even hit the theaters\, based on the performance o f movies with similar themes\, actors and other traits.\nRegression anal ysis is vital for uncovering the relationships between variables that of ten may otherwise not be easily uncovered in large data sets. But\, Ayre s said\, analysts need to also focus on the precision of the predictions garnered through their analysis. Often the size of the sample on which a prediction or score are made will determine its precision – or the l ikelihood that it is correct.\nHe stressed the importance of doing rando mized trials of the predictions: “Any organization that doesn’t use regression and randomization is screwing up.” Randomized tests of mul tiple theories – whether investing in stocks or choosing the most effe ctive subject line for direct mail campaigns -- make it possible to opti mize results in real time and applies the learnings ongoing. \n\nTo leav e comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Guest Keynote: Ian Ayres\, author of Super Crunchers END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T140000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T130000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3226 DESCRIPTION:\nThis session focused on how to create compelling user exper iences in a collaborative way and \nincorporate usability and design int o existing product development lifecycles and budgets.\n\n\nStewart offe red three techniques designed to help front-load design and usability an d fit into existing product development lifecycles:\n• Dirty research. This guerilla-style approach to research involves looking at the web si tes\, products\, and other influences in your user’s lives to leverage the studies that have already been done and learn about the world they live in. Phone interviews\, surveys\, and reaching out to universities a re other useful sources of data about your users. \n\n• Sketching. It is not the sketch\, but the process of sketching that is important. Ske tches allow you to experiment easily in order to expand thought and gene rate ideas. \n\n• Paper prototyping. Starting with user stories\, des igners work with developers\, product managers and other key stakeholder s to sketch paper versions of the interface. Two users act are then aske d to interact with the interface by talking through each action. A perso n acts as the computer\, swapping out the screens and other interface it ems. The interface can be quickly revved in between tests\, giving you e xtremely fast iterations\n\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Enhance Your Site Effectiveness - User-Centered Design END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T140000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T130000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3227 DESCRIPTION:\nLearn how to simplify and improve your ongoing reporting wi th scorecards. WebTrends new Digital Marketing Optimization group will s how you how to extract data from WebTrends\, and then format and organiz e your data into meaningful reports. This discussion will cover:\n\n* Si mplified data extraction with WebTrends ODBC driver\n* Examples of score cards that add value\n* Excel features and functionality\n* Tips and tri cks \n\n\nThis session is ideal for users who want to make their reporti ng process more efficient and improve the overall impact of their report s on business decisions.\n\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Streamline Your Ongoing Reporting Process - an Introduction to Sc orecards END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T153000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T143000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3229 DESCRIPTION:\nWhile the title referenced five areas of focus\, the presen ters added a sixth just before Engage. These six areas comprise a framew ork for managing digital measurement programs that the WebTrends Digital Marketing Optimization team developed:\nMeasurement Strategy\no Underst and company business objectives.\no Align digital marketing activities t o these company objectives.\no Define and document a measurement and lea rning plan.\nImplementation\no Development of a technical tagging and im plementation strategy that aligns to the measurement and learning object ives previously stated in the measurement strategy.\no Includes tagging plans/guides\, implementation plans\, test/QA plans\, and any other docu mentation that determines what technical changes need to occur in order to support the measurement strategy.\nData integration\no Define and und erstand available sources of data\, their relationship to your digital m arketing program\, and their integration capabilities.\no Develop integr ation plan and configure the measurement tools and business processes to support that plan.\n\nData visualization and delivery\no Develop KPIs f or each stakeholder group and understand reporting requirements.\no Dete rmine best delivery mechanism by designing wireframes of report in Excel \, moving to functional mockups then the final product.\no Use automatio n wherever possible in order to shorten the amount of time spent simply gathering data in addition to increasing accuracy.\n\nAdoption\no About getting the right data to the right people at the right time and ensurin g digital marketing data becomes an integral part of business decision m aking.\no Develop governance processes.\no Deliver role-based training a nd encourage the use of digital marketing data in all areas of the organ ization.\nOngoing optimization\no The use of digital marketing data to i dentify optimization opportunities and to provide a means to quickly tes t different iterations of site/ad content.\no Use of KPI thresholds and alerts to be promptly notified of potential program issues as well as co mmon triage practices to quickly resolve issue or optimize program.\no E nabling program partners to optimize their campaigns through the sharing of data between them.\n\n\n\nTo leave comments\, please login or sign u p to the Engage Network at the top of this page.\n SUMMARY:Six Areas of Focus to Maximize the Success of Your Digital Market ing and Web Analytics Programs END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T114500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T104500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3231 DESCRIPTION:\nPaynter emphasized that web analytics is a strategic invest ment\, and that the right implementation strategy will yield the highest ROI. She advised the group to measure for action\, meaning you should: \n• Gather business requirements. An effective analytics system invol ves more than the tool\; it takes people and decisions to program it.\n • Determine your key performance indicators (KPIs). Identify five to seven very basic metrics that you can use as standards across your site. This way\, the entire operation is talking and understanding the basic data in the same way. Also\, simplify the view of the data so at least 8 0 percent of the organization understands and can use it. \n• Underst and the WHOLE conversion process. Look beyond the scenario or funnel at the every part of the process that required acquisition and persuasion. \n• Set your tools to collect the right data. Take advantage of the cu stomization capabilities of Webtrends. Make it your own. \nShe also dis cussed the importance of: \n• Using onsite search reporting to ensure visitors are locating the information they are looking for. \n• Using onsite advertising to help direct visitors. Ad tagging and reporting ca n provide insight on how to improve site design. \n• Tracking more th an the terms and search engine that people use. You also need to know wh at they do after they arrive\, and if they make it to the locations you want them to visit. \nOther tips Paynter shared include: \n• Use your own culture to lead the way you title your chapters. Create a basic user template to view the standards you determine.\n• Set a base to measur e from\, so you can determine if the changes you make to your site are m oving toward your desired outcome. \n• Focus your attention on the ano malies in your analytics. \n• Build flexibility into your analytics\ , so your system can adapt to business changes.\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\ n SUMMARY:How do you Measure Success? END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T114500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T104500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3232 DESCRIPTION:\nThis session detailed how snowmobile and ATV manufacturer P olaris increased revenue through more effective online lead maturation and offline conversion. Kuelbs described how the company successfully sh ifted away from heavy offline marketing to primarily online promotion. I n addition to re-engineering its lead-to-conversion flow\, Polaris put t echnologies in place to drive their desired solution\, including a varie ty of Webtrends technologies. Ad Director generates motivated customers to visit the Polaris site\, while Analytics measures web site behaviors. Marketing Warehouse tracks individual visitor behavior\, Score quantifi es onsite visitor behavior and Visitor Intelligence analyzes the visitor behavior and provides Polaris detailed segments. Polaris also uses Mic rosoft Dynamics CRM solution and a variety of solutions to funnel online leads to their dealer channel.\n\nKuelbs said Polaris can now precisely measure the impact of online marketing and offer interactive experience s on its web site that engage visitors in its products. In exchange\, vi sitors provide demographic and contact information\, which local dealers hips use to target motivated buyers in their area. In addition to incre asing revenue\, Kuelbs said Polaris has reduced cost per registered vis itor\, increased the volume of registered visitors and increased units s old (with web influence).\n\nKuelbs also stressed the importance of plan ning and governance when making a change such as this. He said organizat ions must get key stakeholders to participate and invest in these lead g eneration/maturation programs. While vision is important\, organization s must execute on specific pieces that will have the most impact on thei r business\, Kuelbs added. He also encouraged attendees to evaluate the criteria they use to categorize leads and funnel online leads to their offline channels.\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Shaping Online Browsers Into Offline Buyers END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T144500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T134500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3233 DESCRIPTION:\nThis session provided insight and strategies to help increa se clickthroughs and ad revenue on your site by integrating web analytic s with other systems. The group also explored ways to use behavioral dat a to target/remarket to customers with precise and relevant messages\, a nd how to get a comprehensive view of your customer and provide insight into areas of focus or concern.\n\nDeFoe recommended a crawl-walk-run ap proach to integration and data access. This way\, you can generate quick wins and get buy-in from the rest of the organization and executive sta ff. He also advised the group to maximize custom reports and calculated measures capabilities and not to try to solve every reporting need in th e user interface\, and explained how investments in application program interfaces (APIs) quickly pay for themselves.\nThe group discussed sever al solutions during the session\, including site optimization using cust om reports\, API’s and Excel\, and email remarketing/retargeting and C RM integration using custom reports\, dedicated profiles\, Data Schedule r\, SFTP client or Marketing Warehouse\, Named Queries\, and API’s.\n DeFoe fielded several questions from the group\, including:\nQ. Will Dat a Scheduler work with software in the future? \nA. It is being worked on \, but Webtrends won’t push it to an SFTP site because it will be used on premise. \nQ. How can I use my software to get custom reports with v isitor ID’s today?\nA. One option is to bump up the report table limit to the amount you need\, and don’t use the UI for that profile and se t of reports. Instead use ODBC/Web Services to pull the data. Ensure the unique combinations aren’t too high.\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:WebTrends Data Access and Integration END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T160000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T150000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3234 DESCRIPTION:\nGrant highlighted sometimes overlooked gems that are invalu able for both report users and Webtrends administrators. For report use rs\, these included using:\n\n• Quick queries in the Analytics interfa ce to cross-reference similar data in other reports\n• Bookmarks and P references to quickly return to the reports that provide the most inform ation to your specific needs. \nFor administrators\, the gems included: \n• Configuring custom report help cards to ensure business users unde rstand the information presented in reports you created\n• Additional uses for content group path analysis to gain more insight to paths users take throughout your web sites.\n\nFine showed some of the newer On Dem and capabilities that will be included in the next software release of A nalytics\, including enhancements to page view determination\, report ex ports\, Webtrends Connect and calculated measures. He also walked throug h the new beta web services and the Developer Network. The new web serv ices offer a simple\, yet powerful tool for integrating Webtrends data w ith Excel or your own analytics reporting applications.\n\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of t his page.\n SUMMARY:Discover the Hidden Gems in WebTrends Analytics END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T100000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T090000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3235 DESCRIPTION:\nThis session focused on how to create compelling user exper iences in a collaborative way and \nincorporate usability and design int o existing product development lifecycles and budgets.\n\n\nStewart offe red three techniques designed to help front-load design and usability an d fit into existing product development lifecycles:\n• Dirty research. This guerilla-style approach to research involves looking at the web si tes\, products\, and other influences in your user’s lives to leverage the studies that have already been done and learn about the world they live in. Phone interviews\, surveys\, and reaching out to universities a re other useful sources of data about your users. \n\n• Sketching. It is not the sketch\, but the process of sketching that is important. Ske tches allow you to experiment easily in order to expand thought and gene rate ideas. \n\n• Paper prototyping. Starting with user stories\, des igners work with developers\, product managers and other key stakeholder s to sketch paper versions of the interface. Two users act are then aske d to interact with the interface by talking through each action. A perso n acts as the computer\, swapping out the screens and other interface it ems. The interface can be quickly revved in between tests\, giving you e xtremely fast iterations\n\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Enhance Your Site Effectiveness - User-Centered Design END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T100000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T090000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3236 DESCRIPTION:\nLearn how to simplify and improve your ongoing reporting wi th scorecards. WebTrends new Digital Marketing Optimization group will s how you how to extract data from WebTrends\, and then format and organiz e your data into meaningful reports. This discussion will cover:\n\n* Si mplified data extraction with WebTrends ODBC driver\n* Examples of score cards that add value\n* Excel features and functionality\n* Tips and tri cks \n\nThis session is ideal for users who want to make their reporting process more efficient and improve the overall impact of their reports on business decisions.\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Streamline Your Ongoing Reporting Process - an Introduction to Sc orecards END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T111500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T101500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3237 DESCRIPTION:\nWhile the title referenced five areas of focus\, the presen ters added a sixth just before Engage. These six areas comprise a framew ork for managing digital measurement programs that the WebTrends Digital Marketing Optimization team developed:\nMeasurement Strategy\no Underst and company business objectives.\no Align digital marketing activities t o these company objectives.\no Define and document a measurement and lea rning plan.\nImplementation\no Development of a technical tagging and im plementation strategy that aligns to the measurement and learning object ives previously stated in the measurement strategy.\no Includes tagging plans/guides\, implementation plans\, test/QA plans\, and any other docu mentation that determines what technical changes need to occur in order to support the measurement strategy.\nData integration\no Define and und erstand available sources of data\, their relationship to your digital m arketing program\, and their integration capabilities.\no Develop integr ation plan and configure the measurement tools and business processes to support that plan.\n\nData visualization and delivery\no Develop KPIs f or each stakeholder group and understand reporting requirements.\no Dete rmine best delivery mechanism by designing wireframes of report in Excel \, moving to functional mockups then the final product.\no Use automatio n wherever possible in order to shorten the amount of time spent simply gathering data in addition to increasing accuracy.\n\nAdoption\no About getting the right data to the right people at the right time and ensurin g digital marketing data becomes an integral part of business decision m aking.\no Develop governance processes.\no Deliver role-based training a nd encourage the use of digital marketing data in all areas of the organ ization.\nOngoing optimization\no The use of digital marketing data to i dentify optimization opportunities and to provide a means to quickly tes t different iterations of site/ad content.\no Use of KPI thresholds and alerts to be promptly notified of potential program issues as well as co mmon triage practices to quickly resolve issue or optimize program.\no E nabling program partners to optimize their campaigns through the sharing of data between them.\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Six Areas of Focus to Maximize the Success of Your Digital Market ing and Web Analytics Programs END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T123000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T113000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3239 DESCRIPTION:\nParshall likened paid search ads to other business processe s such as credit card fraud detection and telephone switchboards that ha ve been transformed by automated systems. Because of the scale and large number of variables involved in search engine marketing\, manual bid ma nagement is time consuming and less effective than automated solutions\, he said.\n\nWebtrends Ad Director uses self-learning technology to cont inually optimize bids and placements for any number of keywords and term s. Parshall said this unique technology has made it possible for compani es to transform their SEM performance. He highlighted Safelite AutoGlass – which has increased average daily click volume by 80 percent and de creased cost per order by 21 percent -- and Orion Telescopes – which i ncreased search advertising revenues by 35 percent from the same quarter the previous year.\n\nIn addition to producing better results than bid management\, Parshall said Ad Director frees up SEM managers to work on multi-touch attribution and other valuable tasks. \n\n\nTo leave comment s\, please login or sign up to the Engage Network at the top of this pag e.\n SUMMARY:How Large PPC Advertisers Can Save Big Dollars - An Introduction to WebTrends Ad Director END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T123000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T113000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3240 DESCRIPTION:\nGrant highlighted sometimes overlooked gems that are invalu able for both report users and Webtrends administrators. For report use rs\, these included using:\n\n• Quick queries in the Analytics interfa ce to cross-reference similar data in other reports\n• Bookmarks and P references to quickly return to the reports that provide the most inform ation to your specific needs. \nFor administrators\, the gems included: \n• Configuring custom report help cards to ensure business users unde rstand the information presented in reports you created\n• Additional uses for content group path analysis to gain more insight to paths users take throughout your web sites.\n\nFine showed some of the newer On Dem and capabilities that will be included in the next software release of A nalytics\, including enhancements to page view determination\, report ex ports\, Webtrends Connect and calculated measures. He also walked throug h the new beta web services and the Developer Network. The new web serv ices offer a simple\, yet powerful tool for integrating Webtrends data w ith Excel or your own analytics reporting applications.\n\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of t his page.\n SUMMARY:Discover the Hidden Gems in WebTrends Analytics END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T153000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T143000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3241 DESCRIPTION:\nIn this session\, Bocek discussed how to quickly diagnose a nd resolve Webtrends Analytics issues. Some of the best practices he sug gested looking in the following locations for troubleshooting tips and g eneral information:\no Customer Center within your Webtrends application \no Webtrends forums – http://forums.webtrends.com\no Webtrends Outsid er – http://www.webtrendsoutsider.com (customer created and driven)\nW ebtrends On-Demand. If using On-Demand\, inquire with your account manag er about getting a software install for testing purposes only. It can a llow you to test current setups before implementation in the OD environm ent. Log file delivery from WebTrends On-Demand may be needed.\n\nThere are also many ways you can use Webtrends to troubleshoot Webtrends. For example:\nUse the URL viewed in Visit filter to include activity from a ll visitors who hit a URL or multiple URLs. This can be used to determi ne how a visitor hit a particular point on a web site\, when in theory i t is not supposed to be possible with the report originally created.\n\n For example\, “Same Visit Campaign” shows a campaign may not expect in the report. To determine how this is possible\, create a filter with 1 “Visit Filter” and the option of “Filer must match ALL criteria ”. The “Match Criteria” will have two separate matches. One will be the campaign you’re expecting to see and the other will be the cam paign you do not want to see. The filter when completed is saying “on ly include activity if a visit hits both campaign A and campaign B in th e same visit”. \n\nCreate a custom report with “Visitor” as the d imension and “hits” as the measure (to keep it simple). Add the fil ter to the custom report. Once it’s run\, the only data in the report will be the visitors that hit both campaigns during the course of a vis it. You can then use this information to pull out the entire visit from the logs and determine what’s happening to cause the report oddity.\n \n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Tips and Tricks for Analytics Troubleshooting END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T140000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T130000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3242 DESCRIPTION:\nThis workgroup focused on tracking of visitor interaction w ith rich media content (Flash\, SilverLight\, AJAX)\, as well as other n on-browser-based web mediums such as RSS\, with Webtrends. The group als o explored how to interpret these interactions to gain insight into visi tor engagement.\n\nKey takeaways: \n• When tagging any rich media\, cl early define the interactions you will be tracking and assign them appro priate URLs and parameters. Each interaction does not always need a uniq ue URL. You can use parameter values to record interactions with a singl e object defined by a URL. It’s also important to consider what consti tutes a page view and what doesn’t\, and set your WT.dl values and Pag e View definitions in your profile accordingly.\n• Proxy-based log gen eration technology such as Atomic Labs Pion is an excellent alterative t o tagging\, especially with technologies such as RSS that don’t have c lient-side execution of code. Hebron described how Pion's distributed pl atform enables it to capture millions of data points in real time from h ard-to-reach data sources. It has its own embedded HTTP server to suppor t the collection and delivery of real-time event streams to and from you r own web server. \n• Implementation of tagging in Flash and SilverLig ht can be difficult and time consuming. There is a great demand for plu g-ins to automate some of the work\, and allow tracking independent of J avaScript logging files.\n \n\nHebron offered several tactics that atten dees could experiment with immediately. He suggested using parameter val ues to record interactions -- rather than distinct page views with uniq ue URLs -- and parameters to record analog interactions with scale value s\, such as percentage of the video that a visitor views.\n\n\n\nTo lea ve comments\, please login or sign up to the Engage Network at the top o f this page.\n SUMMARY:Tracking Visitors in a Rich Media World END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T153000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T143000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3245 DESCRIPTION:\nThis workshop detailed how to successfully implement Webtre nds Smart Source Data Collector (SDC) tagging solutions. Gallagher and t he attendees discussed how:\n\n• Successful implementations sho uld support your business’ decision making processes and be affordable \, reliable\, accurate\, easy to maintain and adhere to relevant policie s or regulations.\n• Tags should be developed and maintained th rough Tag Builder\, which provides standard reporting out of the box.\n • Implementation testing and oversight is made easy through the use of HTTP request tools\, such as HTTPWatch\, Fiddler\, Firebug\, or HTTPFox.\n\nThe group also spoke about Flash implementations and how to utilize externalInterface/dcsMultiTrack.\n\n\n\nTo leave comments\, plea se login or sign up to the Engage Network at the top of this page.\n SUMMARY:Planning for Success: Implementation Strategies END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T170000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T160000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3246 DESCRIPTION:\nThe presenters offered the following tips for getting start ed with social media: \n\n• Start by listening to your brand. \n• Pa y attention to overall industry and competitor conversations.\n• Consi der blogging as an entry point into social media.\n• Have a presence o nline before you engage. \n\nWhen introducing yourself into the conver sation\, the presenters recommended you:\n• Only introduce yourself af ter you have become part of the conversation and added value. \n• Be t ransparent\, authentic. \n• Don’t self-promote\, sell or pitch\; b log about issues.\n• Don’t try to control the conversation or correc t others. \n\nOther considerations: \n\n• Cultivate relationships with the top participants by linking to them in your blog\, tweeting their U RL and adding a thumbs up on one of their posts on digg. \n• Remember that the tone\, conversation and approach that’s appropriate in North America might not be in another region.\n• Social media measurement is still in its infancy\, so set goals and use specific metrics.\n\n\n\nTo leave comments\, please login or sign up to the Engage Network at the t op of this page.\n SUMMARY:Leveraging WebTrends in your Social Media Strategy END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T170000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T160000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3248 DESCRIPTION:\nJobe and the attendees discussed how to identify errors in incorrectly implemented tags and tools for troubleshooting tags. He said errors are commonly the result of cookie values that don’t look like an IP address\, modified tags and META tags that are not capitalized (an d thus not captured by the tag). He suggested a number of tools for unc overing errors\, including the Firefox Error Console\, JSVIEW add on\, J avaScript Debugger (Venkman) and HTTPFOX add-on. He also suggested Fiddl er and Microsoft Visual Studio.\n\nJobe demonstrated how to troubleshoot tags\, using the tools discussed in the workshop to identify and solve a cross-domain tagging problem that one of the attendees was experiencin g on his web site. \n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Tag Troubleshooting 101 END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T170000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T160000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3249 DESCRIPTION:\nDuring this workshop\, attendees identified the many challe nges presented by portals\, including the diversity of different types a nd technology platforms that provide portals. They also discussed how me asurement is too often an afterthought with portals\, and URLs created b y portals that are either “dirty” in format and contain unrecognizab le codes (GUIDs) or are the same value and therefore not distinguishable from each other.\n\nLove stressed that all portals are simply web sites based on a given technology platform. All of the usual rules of analyti cs apply\, including defining KPIs in advance of portal implementation. Love also recommended customers develop best practices or employ a WebTr ends solution to combat this. This could vary widely from one platform to another.\n\n\nTo leave comments\, please login or sign up to the Enga ge Network at the top of this page.\n SUMMARY:Techniques for Tracking and Measuring Portals END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T114500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T104500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3250 DESCRIPTION:In this session we'll talk a little bit about a Digital Marke ting Maturity Model that we recently developed. I'll have each of the p articipants fill out a short assessment that we'll then use to determine \, at a high level\, your organization's current maturity level. We'll also talk about why the goal shouldn't be the highest level for every or ganization and how to determine your organization's appropriate level.\n \n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:How Mature is My Digital Marketing Program? END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T111500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T101500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3251 DESCRIPTION:\n\nIn this session\, Bocek discussed how to quickly diagnose and resolve Webtrends Analytics issues. Some of the best practices he s uggested looking in the following locations for troubleshooting tips and general information:\no Customer Center within your Webtrends applicati on\no Webtrends forums – http://forums.webtrends.com\no Webtrends Outs ider – http://www.webtrendsoutsider.com (customer created and driven)\ nWebtrends On-Demand. If using On-Demand\, inquire with your account man ager about getting a software install for testing purposes only. It can allow you to test current setups before implementation in the OD enviro nment. Log file delivery from WebTrends On-Demand may be needed.\n\nThe re are also many ways you can use Webtrends to troubleshoot Webtrends. F or example:\nUse the URL viewed in Visit filter to include activity from all visitors who hit a URL or multiple URLs. This can be used to deter mine how a visitor hit a particular point on a web site\, when in theory it is not supposed to be possible with the report originally created.\n \nFor example\, “Same Visit Campaign” shows a campaign may not expec t in the report. To determine how this is possible\, create a filter wi th 1 “Visit Filter” and the option of “Filer must match ALL criter ia”. The “Match Criteria” will have two separate matches. One wi ll be the campaign you’re expecting to see and the other will be the c ampaign you do not want to see. The filter when completed is saying “ only include activity if a visit hits both campaign A and campaign B in the same visit”. \n\nCreate a custom report with “Visitor” as the dimension and “hits” as the measure (to keep it simple). Add the f ilter to the custom report. Once it’s run\, the only data in the repo rt will be the visitors that hit both campaigns during the course of a v isit. You can then use this information to pull out the entire visit fr om the logs and determine what’s happening to cause the report oddity. \n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Tips and Tricks for Analytics Troubleshooting END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T160000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T150000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3252 DESCRIPTION:\nThis group focused on a variety of challenges related to de fining and accurately measuring campaigns. Questions and answers include d: \nQ. Why would you use a translation file if you can pass your attrib utes in the url? A. The parameter has a limit in the number of character s\, so if the campaign parameter becomes too large\, the values become t runcated. Also\, the translation file makes it easier to maintain data integrity and reduce misspelling. \nQ. Why would I use Warehouse over Analytics to track my campaigns? A. Analytics and Warehouse are compleme ntary products\, where Analytics provides your day in /day out operation al reporting\; Warehouse provides the ad hoc and retroactive campaign an alysis needed when custom reports don’t exist in Analytics.\nQ. Does the WT.mc_id parameter impact your search quality score from the search engines? A. Yes\, if the parameter exists on the url of your pages. So\, place this parameter on your referring links instead of your page u rls.\n Q. How do you expire campaigns so last year’s campaign does no t get the credit for yesterday’s purchase? A. Edit your profile\, s elect the first tab for Visitor History\, then change the expiry setting to 30 days or whatever time period best suits you.\n Q. Can you expir e the ppc items like you can expire the WT.mc_id items? A. Yes\, start ing with Analytics 8.5 there are two expiry settings\, one for the WT.mc _id parameter and one for the PPC tracking.\n\nBrowning also described s everal of Webtrends differentiating campaign tracking features:\n• Ca mpaign IDs. There are a variety of items to track when attracting/acqui ring visitors: email\, pay-per-click search terms\, organic search terms \, rss subscriptions and feeds\, banners\, affiliates\, video\, ad place ment on third party sites\, and more. When the parameter WT.mc_id is se t in the link of an ad\, the Campaign IDs report will automatically refl ect this. Learn more about WT.mc_id. www.trackmymarketing.com\n• Vis itor History Table. WebTrends stores campaign information in the Visito r History Table (VHT) so campaign attribution will be correct\, even whe n a visitors clears cookies.\n• Mash-up reports. After creating a sc enario conversion funnel and identifying campaigns\, you can create a We bTrends report that mashes the two parts together\, creating a powerful report of conversions by PPC phrase\, conversions by banner ad\, and con versions by email link. \n• Tracking campaigns to conversion. WebTr ends Analytics lets you set up your conversion metrics\, such as in a sc enario analysis or capturing variables on the confirmation page of a con version. It also lets you set the WT.mc_id parameter on the links you wa nt to track\, and create a Webtrends report that contains your campaign detail (Dimension 1- WT.vr.rac) and your conversion funnel (Dimension 2 – Conversion Funnel).\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Campaign Optimization - Iterative Tracking and Improvement END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T144500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T134500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3253 DESCRIPTION:\nAll powerful engines require fine tuning to provide the bes t performance. In this workshop\, Bocek discussed ways to configure Webt rends to get the best results possible and keep your analytics engine ru nning smoothly.\n\nBackup – Bocek recommended using Robocopy (or somet hing similar) to copy the following files off the machine and back them up in an alternate location:\no \\storage\\config\no \\storage\\reports\ no \\storage\\analysis\no \\common\\database or the location of your MSS QL db\n\nCatching up data – Bocek emphasized that occasionally data ne eds to be rerun for an extended period of time and discussed how to do i t:\no Make log files available locally or via UNC\no Have log files unzi pped (to avoid copying them)\no Set Analysis Throttling to a larger time frame such as 5 or 10 days (depending on the amount of data in the logs ). If the log files are on the smaller size\, this can be increased. I f log file data is quite extensive\, this may need to be reduced. \no Wi thin “Analysis Throttling”\, enable “Rerun analysis immediately af ter maximum amount of data is analyzed” and “Update report data betw een each analysis period”\nBocek also offered the following best pract ices and tips:\no Only use FTP to retrieve log files within Webtrends as a last resort. It’s time consuming and ftp connections can timeout w here UNC and local will be both faster and more stable.\n\no Date Macros : Date macro use is especially important when reading from zipped log f iles. Always point to the most recent 5 days (minus the current day). This will allow the profile to limit the data it’s looking at and alwa ys read the most recent 5 days of log files. \n\no VMWare: If needing t o be utilized\, we recommended using the ESX. \nQ: How much memory is available for a profile to utilize while running?\nA: By default\, a 32 Bit operating system will allocate up to 2 GB of physical memory to a pr ocess. If a profile requires more than 2 GB to process it will fail wit h an “out of memory” error.\n\nQ: If I analyze both SDC logs and we b server logs\, are both counted against licensing? \nA: No\, Webtrend s will take the higher of the two. It does keep track of both\, but wil l only count the server calls against licensing for the higher of the tw o log file formats.\n\nQ: How do I determine what’s being counted in licensing and general licensing information?\nA: Navigate to the \\comm on\\lib directory via the command line and type “wtlicman –s” (wit hout the quotes). You will find an entry about 1/3 the way down that st ates – Nonpageviewextension: \nAny extensions found in this list are NOT counted against licensing. Everything outside of the list will be c ounted against licensing.\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Fine Tune Your WebTrends Solutions END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T123000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T113000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3254 DESCRIPTION:\nThis workshop detailed how to successfully implement Webtre nds Smart Source Data Collector (SDC) tagging solutions. Gallagher and t he attendees discussed how:\n\n• Successful implementations sho uld support your business’ decision making processes and be affordable \, reliable\, accurate\, easy to maintain and adhere to relevant policie s or regulations.\n• Tags should be developed and maintained th rough Tag Builder\, which provides standard reporting out of the box.\n • Implementation testing and oversight is made easy through the use of HTTP request tools\, such as HTTPWatch\, Fiddler\, Firebug\, or HTTPFox.\n\nThe group also spoke about Flash implementations and how to utilize externalInterface/dcsMultiTrack.\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Planning for Success: Implementation Strategies END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T144500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T134500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3256 DESCRIPTION:\nThis workshop focused on the four principles of building a successful web analytics foundation: accessibility\, accountability\, pa rticipation and standards. Church and the attendees discussed the import ance of getting executive participation in web analytics\, providing met rics that generate business value and increasing adoption of web analyti cs across an organization.\nChurch stressed the importance of interviewi ng key stakeholders. It is imperative\, he said\, that your web analytic s team interview executives and others to determine the information they need and the format in which they prefer to review information.\nThe di scussion also touched on why different parts of your organization should n’t be treated the same when it comes to analytics. Each group within an organization needs to receive reports specific to their individual si te goals. Reporting should also be tied to business goals and site obje ctives. Without this connection\, your analytics team is simply providin g data to your organization. By tying that data back to goals/objective s\, the data becomes actionable.\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Building a Solid Foundation in Web Analytics through Governance a nd Optimization END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T160000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T150000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3257 DESCRIPTION:\nThe group identified different types of non-commerce sites and broke into groups to determine key business objectives for each:\n \ nHealthcare \no Engagement\, specifically measured as time on site\no Page views (of specific pages sometimes\, but usually just overall)\n o Lead generation (especially for B2B)\no Conversions (sign-ups for emails\, register for classes\, request a prescription)\nFinancial Servi ces\no Form completions\no Transaction completions\no Returning vi sits\no Onsite click-throughs \nEducation\no Pay –per-click metric s\no Page views (of specific pages sometimes\, but usually just overal l)\no Conversions to contributions and alumni donation\no Use conver sion metrics for key segments – specifically around students\, faculty and alumni\nGovernment\no Downloads\, especially of PDFs\no Form Co mpletions (Scenario Analysis/Conversion rates)\no Path Analysis\nBrand ing\no Conversions\no Registered users\no Referrals\no Engagemen t (page views\, time on site\, etc.)\no Campaign performance\nMedia/Ad vertising\no Visits (general traffic/usage numbers)\no Single page v isits and referrals \no Bounce rates\no Repeat visitors \no Page v iews \n\n\nTo leave comments\, please login or sign up to the Engage Net work at the top of this page.\n SUMMARY:Measuring Success on Non-Commerce Web Sites END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T100000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T090000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3259 DESCRIPTION:\nThis workshop focused on the four principles of building a successful web analytics foundation: accessibility\, accountability\, pa rticipation and standards. Church and the attendees discussed the import ance of getting executive participation in web analytics\, providing met rics that generate business value and increasing adoption of web analyti cs across an organization.\nChurch stressed the importance of interviewi ng key stakeholders. It is imperative\, he said\, that your web analytic s team interview executives and others to determine the information they need and the format in which they prefer to review information.\nThe di scussion also touched on why different parts of your organization should n’t be treated the same when it comes to analytics. Each group within an organization needs to receive reports specific to their individual si te goals. Reporting should also be tied to business goals and site obje ctives. Without this connection\, your analytics team is simply providin g data to your organization. By tying that data back to goals/objective s\, the data becomes actionable.\n\n\nTo leave comments\, please login o r sign up to the Engage Network at the top of this page.\n SUMMARY:Building a Solid Foundation in Web Analytics through Governance a nd Optimization END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T100000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T090000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3260 DESCRIPTION:\nAll powerful engines require fine tuning to provide the bes t performance. In this workshop\, Bocek discussed ways to configure Webt rends to get the best results possible and keep your analytics engine ru nning smoothly.\n\nBackup – Bocek recommended using Robocopy (or somet hing similar) to copy the following files off the machine and back them up in an alternate location:\no \\storage\\config\no \\storage\\reports\ no \\storage\\analysis\no \\common\\database or the location of your MSS QL db\n\nCatching up data – Bocek emphasized that occasionally data ne eds to be rerun for an extended period of time and discussed how to do i t:\no Make log files available locally or via UNC\no Have log files unzi pped (to avoid copying them)\no Set Analysis Throttling to a larger time frame such as 5 or 10 days (depending on the amount of data in the logs ). If the log files are on the smaller size\, this can be increased. I f log file data is quite extensive\, this may need to be reduced. \no Wi thin “Analysis Throttling”\, enable “Rerun analysis immediately af ter maximum amount of data is analyzed” and “Update report data betw een each analysis period”\nBocek also offered the following best pract ices and tips:\no Only use FTP to retrieve log files within Webtrends as a last resort. It’s time consuming and ftp connections can timeout w here UNC and local will be both faster and more stable.\n\no Date Macros : Date macro use is especially important when reading from zipped log f iles. Always point to the most recent 5 days (minus the current day). This will allow the profile to limit the data it’s looking at and alwa ys read the most recent 5 days of log files. \n\no VMWare: If needing t o be utilized\, we recommended using the ESX. \nQ: How much memory is available for a profile to utilize while running?\nA: By default\, a 32 Bit operating system will allocate up to 2 GB of physical memory to a pr ocess. If a profile requires more than 2 GB to process it will fail wit h an “out of memory” error.\n\nQ: If I analyze both SDC logs and we b server logs\, are both counted against licensing? \nA: No\, Webtrend s will take the higher of the two. It does keep track of both\, but wil l only count the server calls against licensing for the higher of the tw o log file formats.\n\nQ: How do I determine what’s being counted in licensing and general licensing information?\nA: Navigate to the \\comm on\\lib directory via the command line and type “wtlicman –s” (wit hout the quotes). You will find an entry about 1/3 the way down that st ates – Nonpageviewextension: \nAny extensions found in this list are NOT counted against licensing. Everything outside of the list will be c ounted against licensing.\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Fine Tune Your WebTrends Solutions END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T111500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T101500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3263 DESCRIPTION:\nDuring this workshop\, attendees identified the many challe nges presented by portals\, including the diversity of different types a nd technology platforms that provide portals. They also discussed how me asurement is too often an afterthought with portals\, and URLs created b y portals that are either “dirty” in format and contain unrecognizab le codes (GUIDs) or are the same value and therefore not distinguishable from each other.\n\nLove stressed that all portals are simply web sites based on a given technology platform. All of the usual rules of analyti cs apply\, including defining KPIs in advance of portal implementation. Love also recommended customers develop best practices or employ a WebTr ends solution to combat this. This could vary widely from one platform to another.\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Techniques for Tracking and Measuring Portals END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T114500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T104500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3264 DESCRIPTION:\nThe group discussed how tracking and measurement can be use d to gauge the effectiveness of your online video and the tastes of your customers\, as well as answer important business questions. \n\nKey tak eaways: \nThe technology used to create video determines how you track i t. These include five primary video formats: \no Brightcove-type\, robus t players with built-in APIs \no Self-created players that use Flash/FL EX/Breeze as a compiled file (eg. .swf)\no Mobile video\no Flash/Silverl ight content\, which requires the installation of a web browser plug-in\ no Content on third-party sites\, tracked by a direct-image call\n\nBri ghtcove’s best practices for determining video track (Engagement + Rea ch). This can then be paired with Webtrends’ web site conversions for the best of both worlds.\nImportant video metrics include: \no Categorie s your visitors like most. This insight can be used to reduce the amount of development time you put into videos which your visitors are not int erested in.\no The attention span of your audience. If viewers aren’t watching videos to the end\, your videos may be too long and you need t o consider reducing the time length of your videos\no Ads in the video ( known as pre-roll and post-roll ads).\nTips: \n\n• Add the total run t ime of the video in the title to more easily determine percentage of com pletion. \n• Expose video metadata to the web page so web crawlers and spiders can see it.\n• Create a segment called Unique Video visitors to report on the subset of video visitors and their behaviors.\n• Dire ct image calls can be made to track video ads and other content on third -party sites.\n• Mix geography with video tracking to correlate how vi sitors are consuming video content (percentage of completion\, video sha res and video star ratings) with their location. \n\nKey features of Web trends and Brightcove video tracking:\n• The DCSMultitrack function in the WebTrends JavaScript tag lets you combine data about your BC videos /players with any other data that is captured about the page/visitor\, s uch as geographic location or referrer. \n• Syndicated players are tra cked (though no visitor data will be captured) by the multitrack functio n when it makes direct calls to the tracking gif. \n• The track event function can pass any number of key/value pairs\, thus each event can pa ss additional data without the need for completely recoding the swf. \n • The percentage of the video that has been viewed can be tracked usin g DCSext.bc_prog variable.\n\n\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Video Tracking – Measuring Visitors in a Rich Media World END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T123000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T113000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3267 DESCRIPTION:\nJobe and the attendees discussed how to identify errors in incorrectly implemented tags and tools for troubleshooting tags. He said errors are commonly the result of cookie values that don’t look like an IP address\, modified tags and META tags that are not capitalized (an d thus not captured by the tag). He suggested a number of tools for unc overing errors\, including the Firefox Error Console\, JSVIEW add on\, J avaScript Debugger (Venkman) and HTTPFOX add-on. He also suggested Fiddl er and Microsoft Visual Studio.\n\nJobe demonstrated how to troubleshoot tags\, using the tools discussed in the workshop to identify and solve a cross-domain tagging problem that one of the attendees was experiencin g on his web site. \n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Tag Troubleshooting 101 END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T153000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T143000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3847 DESCRIPTION:\nThe presentation provided the following:\n• An ef fective strategy for integrating your analytics data with other marketin g data.\n• A high level overview of the steps required and tho ught processes behind integrating the datasets.\n• Case studies from organizations that have worked with Stratigent to complete these i ntegrations.\n\nBruno described Stratigent’s battle-tested methodologi es for integrations of ExactTarget\, opinionlab\, Foresee results\, visi ble measures and optimost. He also described learnings and methodologies to help organizations take their marketing analytics data to the next l evel. \n\n\nTo leave comments\, please login or sign up to the Engage Ne twork at the top of this page.\n SUMMARY:Tales from the Trenches: Integration Insight END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T144500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T134500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3848 DESCRIPTION:\nDarnell described how the integration of web analytics and web content management can help marketers discover issues and make chang es in a familiar interface\, while the integration of multivariable test ing and web analytics helps uncover the content that motivates site visi tors to take action. He explained how:\n• Marketers can use Webtrends reports and a heat map overlay to understand issues on their web site an d make changes to content in the SitePublisher interface. \n• Interwov en provides a multivariable testing capability for creating pages with m ultiple creative variables and values from the same SitePublisher interf ace.\n• WebTrends and Autonomy Optimost integration lets marketers sha re data between the applications to uncover areas for experimentation. Data from Optimost experiments can also be sent to WebTrends for analysi s. \nAttendees asked about the cost of integration and whether they coul d run multivariate experiments in a site other than TeamSite. There is n o cost\, Darnell said\, for Webtrends and Interwoven customers. He also described how Optimost can be used to create and manage experiments\, bu t it is not tied to any single web content management system. \n\nTo lea ve comments\, please login or sign up to the Engage Network at the top o f this page.\n SUMMARY:Making Analytics Actionable with Web Content Management END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T120000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T113000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3849 DESCRIPTION:\nFaced with corporate demands for quick payback and improved advertising performance but no additional headcount or media opportunit ies\, marketers have no choice but to optimize their existing programs. This means using data more effectively\, MacDonald said\, which is easie r said than done because most large organizations view web analytics as a tool to optimize the web experience\, nothing else.\n\nMacDonald share d examples of organizations that have achieved 20 percent to 25 percent improvements in branding or conversions through optimization of paid and organic search\, display and search and offline and online. He recommen ded following a maturity model that includes:\n\n• Consolidating progr ams into a Digital Center of Excellence\n• Conducting extensive testin g\n• Substantially increasing investments in web analytics environment s by substantial amounts.\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:The New CMO: Cross Marketing Optimization END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T101500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T093000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3850 DESCRIPTION:\nLanger and Peterson described how the Obama campaign gather ed data in novel new ways and used segmentation\, regression-based model ing and Bayesian analysis to improve and isolate conversion for voters a nd donors. They shared data strategies and tactics that businesses coul d replicate\, including:\n\n• Testing. Langer described how the campai gn build a “testing culture” to ensure the reliability of the data i t used to guide correspondence and canvassing. He described how they unc overed flaws in one consumer database by cross-referencing it with voter registration information. \n• Democratization of data. The campaign d idn’t restrict access to its database to a few central organizers. Vol unteers could scour these names and contacts to create phone trees or or ganize canvassing teams in their neighborhoods. When canvassing in a new neighborhood\, volunteers could target the homes of likely Obama suppor ters\, and often knew the issues of concern to people before knocking on their door.\n• Vendor competition. The campaign signed short contract s with multiple vendors for phone canvassing and other services\, and cl osely tracked the success rate of each vendor. The vendors with the best results received contract extensions. \n• Mobile. Exclusive content offered to mobile subscribers – including the text-based announcement of Joe Biden as Obama’s vice presidential nominee -- was enough to con vince large numbers of people to provide their mobile phone number and o ther information to the campaign. \n• Social Networks. In addition to MySpace.com\, Facebook\, Twitter\, LinkedIn and BlackPlanet\, the campa ign reached out to smaller\, interest-based social networks. Peterson d escribed how the campaign\, for example\, generated significant engageme nt with targeted ads on a network for Goths. \n\n\nTo leave comments\, p lease login or sign up to the Engage Network at the top of this page.\n\ n SUMMARY:Exploring the Obama Campaign's Data Crunching Advantage END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T104500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T101500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3853 DESCRIPTION:\nGaylord described how the New York Times uses predictive in sight\, based on web site traffic the prior day and other factors\, to d etermine how many papers it should print. He shared an example of how th e intuition of the editors following a recent big news event suggested p rinting between 35\,000 and 40\,000 newsstand copies. The predictive alg orithm the newspaper developed suggested 43\,000. The actual demand was 45\,000.\nAyres said online publications can improve customer satisfacti on – and save money -- through randomized testing of content. But he w arned against organizations spending too much time determining the conte nt to test because it can sap the savings gained by randomized tests. He also suggested testing as many as 20 different creative treatments for ads or content. Sometimes marginal ideas have traction with customers or readers\, he said.\nAyres would like to see analytics dashboards that n ot only show trends\, but provide predictions about the certainty or acc uracy of the trends. Gaylord said he’s most interested in dashboards providing the nuggets of insights he needs to improve his marketing. He wants to avoid dashboards with “data about data.”\nTo leave comment s\, please login or sign up to the Engage Network at the top of this pag e.\n SUMMARY:Roundtable Discussion END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T171500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T163000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3861 DESCRIPTION:\nThe panel agreed that data integration and cross-channel ma rketing is becoming an increasingly mainstream activity for businesses. “Integration is not just an elite pursuit\,” Lovett said. “It’s really a business imperative…to get complete perspective on your busin ess.” Gassman said integration of data across organizations is nothing new. What’s different today is automation amount of data. \nEven if t hey aren’t yet merging their data sources\, Novo said organizations ne ed to begin getting people in different departments thinking about how t hey will use integrated data. “People get all fired up talking about getting all their data married up\, and then sit around and say `What a re we going to do?’” He suggested data managers from throughout an o rganization report to an independent person\, such as the CEO or COO\, t o help ensure data transparency. \nBatra said businesses can’t lose sight of potential privacy issues as they begin to track and integrate more consumer data. Although younger consumers are generally willing to share personal information online\, Gassman predicted backlash from som e segments of the public when they begin to realize the amount f cross-c hannel tracking that is occurring. Warren said people will agree to prov ide data and tracking if they receive value in exchange. \n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of t his page.\n\n SUMMARY:Experts Panel: Socialization of Data END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T090000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T083000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3863 DESCRIPTION:\nThis presentation focused on how to improve your business ’ use of search in your web site’s shopping experience. Purcell disc ussed how integrating site analytics with search can yield significant r esults given the right approach.\nWang urged the audience to: \n• Iden tify key metrics around customer search behavior.\n• Create landing pa ges for your top searches and facets.\n• Use dynamic\, data-driven mer chandising to improve conversion on the long tail of results.\nPurcell d escribed how Endeca is able to leverage data from WebTrends to affect va rious results\, all the while allowing organizations to execute merchand ising strategies using the Endeca Page Builder application.\n\n\nTo leav e comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Closing the Loop: Integrating On-site Search and Merchandising wi th Analytics to Increase Revenue END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T093000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T090000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3864 DESCRIPTION:\nWhether it is insurance\, retail\, phone service or banking \, Tuttle said your customers' online browsing behavior can give you val uable clues that will allow you to provide greater value whenever you in teract with them\, whether your communication is automated or personal. He said that online behavior is probably the biggest gap in your view o f your customers and can provide the greatest value to both you and your customers. However\, offline customer behavior can also be extremely v aluable in enhancing your online presence.\nTuttle explained how collect ing and integrating this online behavioral data with offline behavior in your customer data warehouse can bring major benefits to you in at leas t three areas:\n• Online behavior can greatly enhance your communicati ons with customers through traditional offline channels\, as well as on your web site. Direct marketing promotions can take advantage of this v aluable new source of customer insight to make your communications more relevant and improve response and conversion rates.\n• Offline behavio r stored in your customer data warehouse can enhance your ability to gre et and provide relevant and timely messages and promotions to each of yo ur customers when they visit your website. Offline product purchases\, demographic data and sophisticated statistical analysis that are commonl y used by the "other" marketing organization can add tremendous value to your online marketing effectiveness.\n• Finally\, and maybe most impo rtantly\, only by combining your online and offline customer data can yo u measure the true effectiveness and impact of your online channel. This provides visibility into customers that research products and services on the web site\, but then go to another channel to make their purchase. \n\n\n\nTo leave comments\, please login or sign up to the Engage Networ k at the top of this page.\n SUMMARY:Improve Every Customer Interaction Using Smarter-Consolidated Dat a END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T140000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T130000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3865 DESCRIPTION:\nThis workshop focused on the four principles of building a successful web analytics foundation: accessibility\, accountability\, pa rticipation and standards. Church and the attendees discussed the import ance of getting executive participation in web analytics\, providing met rics that generate business value and increasing adoption of web analyti cs across an organization.\nChurch stressed the importance of interviewi ng key stakeholders. It is imperative\, he said\, that your web analytic s team interview executives and others to determine the information they need and the format in which they prefer to review information.\nThe di scussion also touched on why different parts of your organization should n’t be treated the same when it comes to analytics. Each group within an organization needs to receive reports specific to their individual si te goals. Reporting should also be tied to business goals and site obje ctives. Without this connection\, your analytics team is simply providin g data to your organization. By tying that data back to goals/objective s\, the data becomes actionable.\n\n\nTo leave comments\, please login o r sign up to the Engage Network at the top of this page.\n SUMMARY:Building a Solid Foundation in Web Analytics Through Governance a nd Optimization END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T111500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090409T101500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3866 DESCRIPTION:\nPaynter emphasized that web analytics is a strategic invest ment\, and that the right implementation strategy will yield the highest ROI. She advised the group to measure for action\, meaning you should: \n• Gather business requirements. An effective analytics system invol ves more than the tool\; it takes people and decisions to program it.\n • Determine your key performance indicators (KPIs). Identify five to seven very basic metrics that you can use as standards across your site. This way\, the entire operation is talking and understanding the basic data in the same way. Also\, simplify the view of the data so at least 8 0 percent of the organization understands and can use it. \n• Underst and the WHOLE conversion process. Look beyond the scenario or funnel at the every part of the process that required acquisition and persuasion. \n• Set your tools to collect the right data. Take advantage of the cu stomization capabilities of Webtrends. Make it your own. \nShe also dis cussed the importance of: \n• Using onsite search reporting to ensure visitors are locating the information they are looking for. \n• Using onsite advertising to help direct visitors. Ad tagging and reporting ca n provide insight on how to improve site design. \n• Tracking more th an the terms and search engine that people use. You also need to know wh at they do after they arrive\, and if they make it to the locations you want them to visit. \nOther tips Paynter shared include: \n• Use your own culture to lead the way you title your chapters. Create a basic user template to view the standards you determine.\n• Set a base to measur e from\, so you can determine if the changes you make to your site are m oving toward your desired outcome. \n• Focus your attention on the ano malies in your analytics. \n• Build flexibility into your analytics\ , so your system can adapt to business changes.\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\ n SUMMARY:How do you Measure Success? END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T160000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T150000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3867 DESCRIPTION:Acting on your web analytics data is critical to driving emai l campaign conversion and ROI. Find out how to use information from WebT rends to deliver the most relevant and timely information and offers\, a utomatically.\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Data-Driven ROI: How Targeted Remarketing Enhances Email Campaign Performance END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T120000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T111500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3868 DESCRIPTION:\nTobias emphasized that while cross-channel marketing presen ts many challenges\, there now exists a body of experience to address ma ny of the challenges that hit early adopters. These challenges include p olitical issues\, lack of common identifiers\, conflicting understanding s of “time”\, large datasets and large numbers of metrics. All of th ese challenges can now be addressed through best practices and industry knowledge.\n\nTobias highlighted the following benefits to cross-channel marketing:\n• A holistic view of how clients interact with a company across all channels\n• Optimizing clients to the most appropriate chan nel for their needs and company costs\n• Data correlation across chann els as well as growth and forecasting capabilities from data correlation \n\nThere are a number of recommended and advanced components that make up cross-channel analysis\, including cross-channel customer segmentatio n\, time standardization\, and metrics scoring through model scoring\, t ext mining and forecasting.\n\nWhile implementing cross-channel analytic s requires forethought and a good dose of planning\, it is an exciting a nd hugely beneficial undertaking for many companies.\n\n\nTo leave comme nts\, please login or sign up to the Engage Network at the top of this p age.\n SUMMARY:Web Analytics In the Bigger Picture of Cross-Channel Analytics END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T170000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T160000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3886 DESCRIPTION:\nIn this session\, we began by identifying web analytics\, c ustomer experience and voice of customer (VoC) as the three primary comp onents of the overall analytic ecosystem. As one of the primary compone nts\, VoC was then divided into two very distinct categories:\n \n• Co nsumer backyard\, all of the touch points outside of an organization’s control\, including social networks like Facebook and MySpace\, blogs/f orums and new digital media like Twitter and YouTube.\n• Brand backyar d\, the direct touch points a company has with its customers\, such as w ebsites (public facing/intranets/extranets)\, advertising\, mobile\, vid eo\, Gadgets/Widgets\, etc.\n\nKrebs said the fastest and most cost-effe ctive way to create a continuous dialogue with customers and be the firs t to know what is going on with your brand is to listen in the brand bac kyard. Employing an effective VoC strategy in the brand backyard enable s customers to speak directly with companies and participate in their su ccess\, he said.\n\nKrebs said it’s also important for companies to mo nitor and participate in the consumer backyard. But by the time issues a nd opportunities arise there\, it is too late for companies to be proact ive. He described how Motrin\, in late 2008\, launched a campaign target ed at new mothers and the body pain they felt from constantly carrying t heir babies. The messaging missed its mark and the online “mommy” co mmunity was incensed. Because the company did not have an effective way to listen in the brand backyard\, “Motrin Moms” began Twittering an d posting on YouTube.\n\nKrebs said it’s also important to combine the various data sets collected throughout the analytic ecosystem to unders tand not only what is happening on your web site\, but why. A panel disc ussion followed to provide examples of how organizations employ VoC solu tions\, how the data is used and actual success stories from listening i n the brand backyard.\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Voice of Customer in the Analytic Ecosystem END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T094500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T093000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3936 DESCRIPTION:\n \nRamsey explained how Webtrends Social Measurement\, powe red by Radian6\, lets organizations cut through the noise and the scale of the social web to pinpoint the most important conversations and buzzm akers. \n\n\nHe demonstrated how the service tracks relevant keywords an d topics across millions of blogs and other social media sites\, and dem onstrated convenience\, adding a topic to the tracking list with a few m ouse clicks and keystrokes. He also demonstrated the real-time analysis capabilities\, slicing and dicing the tracking to uncover the most activ e channels\, most influential voices and other key insights for differen t topics. \n\n\nWhile reviewing a trend chart\, Ramsey clicked on a spik e in online buzz\, and a collage of the 50 most common words in this gro up of postings and conversations appeared on the screen. When he clicked one of the terms\, he could review the actual conversations in which th ey appeared. \n\n\nTo leave comments\, please login or sign up to the En gage Network at the top of this page.\n\n SUMMARY:WebTrends Social Measurement Powered by Radian 6 END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T091500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T090000 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3937 DESCRIPTION:\n\nYoder said three concepts will differentiate Webtrends go ing forward: power\, elegance and openness.\nIn terms of power\, Yoder h ighlighted the addition of a 64-bit analysis engine to WebTrends Analyti cs On Demand last year. The same analysis capabilities will be added to the on-premise Analytics software later this year. He also referenced W ebtrends new application programming interfaces (APIs) as an additional example of both the power and openness of the company’s data and syste ms. \nYoder described the evolution of marketing\, from 1:1 relationship s at the corner store to mass-media marketing. He said new social media channels offer the opportunity to regain the intimacy of the past\, but on a mass scale. Webtrends APIs and support for other methods of stand ards-based data access are equally essential\, he said\, because they ma ke it possible for marketers to connect data across their organizations and get the holistic view of customers necessary for 1:1 marketing. \nYo der acknowledged that user experience hasn’t been one of Webtrends str ong points\, but he guaranteed that it will be in the near future. The c ompany has hired user-experience experts to create new interfaces that a re not only more usable\, but elegant\, he said: “We’re going to re present data in visually enriched and usable forms that have never been seen before.”\n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Welcome and Opening Remarks END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T093000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090407T091500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3938 DESCRIPTION:\n \nKaykas-Wolff unveiled Webtrends new corporate philosophy : Open Exchange. This new approach extends openness beyond the company ’s support for open data exchange to the way it interacts with custome rs and builds best-of-breed solutions with partners. \nHe announced thre e new offerings that support Open Exchange:\n• Self-service access to analytics data with no add-on fees via new Webtrends application program interfaces (APIs). \n• Webtrends Social Measurement\, powered by Radi an6\, a complete social media monitoring and analysis solution for compa nies to listen\, share\, learn and engage their customers across the ent ire social web. The partnership is the first of its kind between a marke ting optimization company and social media measurement provider. Webtren ds customers can now review their web analytics and social media results side by side\, and make better business decisions\, Kaykas-Wolff said. \n• Eight new vertical industry solutions\, which combine Webtrends 15 + years of industry experience with insights gained from leading custome rs in different vertical industries to help current and future customers realize value from their analytics investment faster.\n\n\nTo leave com ments\, please login or sign up to the Engage Network at the top of this page.\n\n SUMMARY:Open Exchange at Engage END:VEVENT BEGIN:VEVENT DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T174500 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20090408T171500 DTSTAMP;VALUE=DATE-TIME:20120516T201818Z UID:3949 DESCRIPTION:\nCarey said Webtrends has adopted a new iterative developmen t cycle\, which will include more frequent updates to products and techn ologies and provide customers more opportunity to provide feedback and i nfluence the updates. “Our goal is to be open and transparent\, and en gage you in the process\,” he said. \n\n\nCarey explained how recent i nvestments Webtrends is making in its architecture have detached the pre sentation layer of its online products from the backend systems. This wi ll enable faster\, more flexible development. \n\n\nStreamlined integrat ion of Webtrends data with other data and systems is also at the core of the company’s product strategy. Organizations don’t want to buy al l of their tools from a single company\, Carey said\, so Webtrends will continue to expand its support for standards-based methods of data extra ction and integration. In addition to the new no-cost data extraction AP Is released at Engage\, Webtrends will this summer release no-charge dat a collection APIs that make it easier to get data into systems\, he said .\n\n\nCarey said Webtrends is also making big investments in improving user experience – a total of 23\,472 hours of staff time\, to be exact \, this year alone. Customers can expect a more professional interface w ith fewer buttons and controls. In many cases\, the actual data will be the interface\, which customers will click on to explore. \n\n\nTo leave comments\, please login or sign up to the Engage Network at the top of this page.\n SUMMARY:Product Roadmap END:VEVENT END:VCALENDAR