Web Metrics, Emetrics, and Web Analytics, Items 1 to 50

"Web Metrics, Emetrics, and Web Analytics" includes 246 items
This page contains items 1 to 50

1. Measuring the Loyalty of the Social Customer, by Jeremy Nedelka, 1 to 1, 12-18-2009 Nedelka explores ways companies are linking activity on blogs, social networks, private communities, microblogging sites (e.g., Twitter), and forums to increases in loyalty using new and established measures.
2. Marketing in 2010: It’s All About the Data, by Josh Jones-Dilworth, Mashable, 12-23-2009 In the near term, learn to think of data as an asset, and be creative, Jones-Dilworth advises. He explains why privacy, safety, authenticity and transparency are paramount.
3. With Analytics in Your Rear View, You’ll Never See Your Future, by Steve Kerho, Fast Company, 12-23-2009 Marketers need to be sure that their ROI methodology is sound not only in its ability to evaluate the past, but also to predict the future, Kerho writes. Examples of typical ROI metrics, results with addition of probability of purchase estimates.
4. Agile User Experience Projects, by Jakob Nielsen, Alertbox, 11-4-2009 Agile projects aren't yet fully user-driven, but new research shows that developers are actually more bullish on key user experience issues than UX people themselves.
5. 2010 Survival Guide: Performance Marketers, by , OMMA, 12-1-2009 Do you need to go on a data diet? A constant stream of new analytics products and services has turned the data stream into a flood. Explains why the idea of serving a user with the right message at the right time shouldn't be taken to extremes.
6. Startups Mine the Real-Time Web, by Erica Naone, Technology Review, 12-9-2009 Huge volumes of data are generated, behind the scenes, every time a person watches a video or clicks on an ad, Naone writes. This user-generated data could provide new ways to tailor the content on a website if it can be processed rapidly.
7. The Click Is Dead; Long Live the Click, by Kevin Ryan, iMedia Connection, 11-17-2009 Ryan explains his 3 gripes and offers suggestions on what to do about them: online marketers are unwittingly addicted to click metrics, social media isn't measured properly, and online doesn't get its fair share.
8. Three Companies Use Analytics to Win Back Customers, by Mila D'Antonio, 1 to 1, 11-23-2009 D'Antonio describes how Merrill Lynch, power tool maker Positec, and Coastal Contacts each take a comprehensive, approach to analytics to reach out to prospects and customers before a sales opportunity is lost.
9. Demystifying Google Webmaster Tools Reports, Part 1, by Erik Dafforn, ClickZ, 12-23-2009 Discusses various aspects of Google Webmaster Tools. Sitemaps, crawler access, sitelinks, change of address, and settings.
10. Understanding Black Friday, by Jason Burby, ClickZ, 12-1-2009 A Coremetrics analysis of 500 retail sites on Black Friday makes a strong case for customized and targeted landing pages. He explains the details.
11. Correcting Your Web Analytics Mistakes, by Chris Crum, WebProNews, 11-3-2009 Crum reports on why so many organizations struggle to go beyond the basic metrics like visitor counts and pageviews, common mistakes organizations make with web analytics implementation, use of analytical data planning.
12. Using Web Analytics to Improve E-mail Marketing, by Karen J. Bannan, B to B, 10-15-2009 Web analytics can become the eyes of an e-mail campaign because they show not only where a Web visitor entered a site but also where they were referred from, how long they were there and where they went when they left, Bannan writes.
13. Landing Page Testing: Choosing Between A/B Or Multivariate Approaches, by Daniel Waisberg, Search Engine Land, 10-14-2009 Explains the pros and cons of both A/B split testing and multivariate testing to help you decide which is best for you.
14. Six Deadly Mistakes Of Web Page Testing & Tuning, by Khalid Saleh, Search Engine Land, 10-13-2009 Sees the biggest mistakes of testing as (1) wrong kind of test, (2) testing too many elements at once, (3) tests that take too long, (4) failing to monitor test results, (5) failing to conduct follow-up experiments, (6) thinking that testing is a silver bullet.
15. Your Web Analytics Checklist, by Neil Mason, ClickZ, 9-29-2009 Provides a quick checklist to understand how well your Web analytics system has been configured. Looks at page tagging, IP address exclusion, page naming, content grouping, conversion events, campaign tracking, and internal search.
16. Let’s Kill The CPM, by Shelby Bonnie, TechCrunch, 9-25-2009 The CPM has done more to stunt innovation and drag down quality products than any single thing on the Internet, writes Bonnie. Explains why.
17. How Measurement Tools Can Help You Market through Tough Times, by Karen J. Bannan, B to B, 9-28-2009 Bannan explains the value of e-mail metrics and merging e-mail metrics with Web analytics, which can also help with cross- and upselling.
18. A Web Of Engagement, by Peter Daboll, Forbes.com, 10-13-2009 Daboll defines and explains how to measure customer engagement online and use the data to drive business.
19. Brand Measurement: Analytics & Metrics for Branding Campaigns, by Avinash Kaushik, Occam's Razor, 9-29-2009 Desired branding outcomes are: (1) to attract prospects or new customers, (2) to share your business value proposition, (3) to impress people about your greatness and buy more, (4) to whisper sweet nothings to drive offline action, (5) to break through the noise and make an introduction to your business, (6) to destroy your competition, (7) to emboss your brand on someone's skull. Discusses how to measure each.
20. Integrating Web Analytics and Optimization Into Your Business, Part 2, by Jason Burby, ClickZ, 8-25-2009 Problems occur when integration goes too far are that you should look out for: (1) You are too close to the business, (2) You are afraid to take chances, or (3) You are not allowed to take chances.
21. Integrating Web Analytics and Optimization Into Your Business, Part 1, by Jason Burby, ClickZ, 8-11-2009 Explains the importance of integration of your Web analytics and site optimization teams so that you can: (1) understand the dynamics of the business, (2) remember brand and Web standards, (3) know what's happening online and offline, and (4) remember alignment of all analytics and optimization efforts with your overall business goals.
22. Demystifying Google Webmaster Tools Reports, Part 3, by Erik Dafforn, ClickZ, 8-19-2009 Examines the Diagnostics reports of Google Webmaster Tools.
23. Demystifying Google Webmaster Tools Reports, Part 2, by Erik Dafforn, ClickZ, 8-5-2009 A close look at the "Your site on the web" reports of Google Webmaster Tools.
24. Six Tips For Improving High Bounce / Low Conversion Web Pages, by Avinash Kaushik, Occam's Razor, 8-25-2009 Shows how various analytics tools can help you spot problems so you can bring webpage purpose and customer intent closer to each other. Get insights from (1) sources (URLs, keywords, campaigns), (2) mis-matched calls to action, (3) website visitors, (4) site overlay such as ClickTracks or CrazyEgg, (5) experimentation and testing, and (6) first impressions.
25. Luke Stevens on Data Driven Design, by Matthew Magain, SitePoint, 9-16-2009 Describes why designers and developers need to start thinking about their sites like athletes, and start using data to optimize that kind of user performance: using data to both make life better for users, and fix whatever roadblocks they face.
26. Boosting Your Leads with Web Analytics, by Boris Bugarski, CRM Daily, 9-14-2009 A bounce rate is how many people land on a given page and do not take action on any link within that page. It tells you how many people came to your Web site and just left without going any further, not even a click to any of your pages.
27. Do You Suffer From Data Gluttony?, by Jeremy Nedelka, 1 to 1, 8-24-2009 Customer data is readily available thanks to Web analytics, third-party data warehouses, and better customer tracking software. But how much is too much? Nedelka discusses the benefits of data minimization.
28. When Testing Doesn't Work, by David Baker, Media Post, 8-24-2009 What do you do when the tests don't tell you what you want to hear? Baker explains, providing several examples.
29. How Your Campaign Could Be Doomed by Clicks, by Susan Kuchinskas, iMedia Connection, 9-4-2009 The single biggest factor separating campaigns that drive sales in the short term and branding in the long term is the quality of the creative, writes Kuchinskas. Clicks are important but do not tell the whole story.
30. Segment Your Way Out of Sadness, by Bryan Eisenberg, ClickZ, 7-31-2009 "Average" data on Google Analytics isn't very helpful. For most powerful insights learn to use "advanced segments." Offers a couple of examples of how this can be effective.
31. Demystifying Google Webmaster Tools Reports, Part 1, by Erik Dafforn, ClickZ, 7-22-2009 A look at Google Webmaster Tools site configuration reports and why they are important. First in a three-part series.
32. This I Believe [A Manifesto for Web Marketers & Analysts], by Avinash Kaushik, Occam's Razor, 7-27-2009 Aviansh asserts: (1) People trump tools, (2) reporting doesn't equal analysis, (3) understanding What is different than understanding the Why, (4) on the Internet you can fail quickly, (5) Web Analytics is complex, but hugely rewarding.
33. Barriers To An Effective Web Measurement Strategy [+ Solutions!], by Avinash Kaushik, Occam's Razor, 7-13-2009 Discusses the major barriers to effective web analytics analysis, with strategies to work around these. In this order: lack of budget / resources, lack of strategy, siloed organization, lack of understanding, too much data, etc.
34. 5 Ways To Track Phone Calls Generated From PPC Clicks, by Brad Geddes, Search Engine Land, 7-20-2009 Phone calls from PPC ads can be tracked by: (1) unique phone numbers, (2) phone extensions, (3) code identifiers, (4) search engine conversion tracking script, and (5) confidence factors. Discusses the pros and cons of each approach.
35. What Is Digital Analysis?, by Jason Burby, ClickZ, 6-2-2009 Says that analysis is: goal oriented, actionable, insightful, impactful, change-based, inclusive, ongoing, and difficult. Analysis is not: reporting, web analytics, automated, siloed, or easy.
36. Study: Google Tracking 88% Of Domains In Study, by Barry Schwartz, Search Engine Land, 6-2-2009 A study published by UC Berkeley grad students found Google Analytics tracking in 81% of the top 100 sites, DoubleClick 70%, Microsoft Atlas 60%, Omniture 57%, Google AdSense 52%.
37. Slay The Analytics Data Quality Dragon & Win Your HiPPO’s Love!, by Avinash Kaushik, Occam's Razor, 6-1-2009 Discusses how to handle your bosses (your Overlords, HiPPO's) who just don't understand the metrics you are showing them. 10 steps.
38. Do Not Bounce With Me, by Jean Pascal Mathieu, OMMA, 7-1-2009 Thanks to ad networks, plenty of sites can send traffic to your Web site, but up to 98% of that traffic may be "fleeing" as fast as it comes in. Mathieu explains why measure of pertinence is important.
39. How to Vastly Improve Your Search Marketing Efforts, by Mike Grehan, ClickZ, 5-18-2009 Discusses Dennis Mortensen's book, Yahoo Web Analytics, an up-to-date, readable guide to Web analytics.
40. What Is Web Site Analysis? Part 1, by Jason Burby, ClickZ, 5-19-2009 Website analysis takes you from data to a decision and action based on business goals, provides recommendations based on multiple factors, guiding in how to change behavior, and allows meaningful insights and actionable next steps.
41. The Era of Short URLs, by Gary Stein, ClickZ, 5-26-2009 URL shorteners, such as those used in Tweets, shorten the URL and create a unique URL to a destination, which can be tracked. One: bit.ly, has built analytics directly into its interface.
42. Web Analytics Expert Interview with Bryan Eisenberg, by , Web Digest for Marketers, 5-26-2009 Bryan Eisenberg notes that marketers haven't been acting on their analytics data and need to test to survive in these times. Common mistakes include: (1) stop optimizing websites, (2) measuring too much data, and (3) having low expectations. Discusses tracking of mobile marketing and the rise of local search.
43. Bit.ly Adds At-A-Glance Click Counts, by Danny Sullivan, Search Engine Land, 5-16-2009 Notes that Bit.ly, a URL shortener service, now offers the number of overall clicks for any URL you've shortened, such as in Tweets.
44. Web Data Quality: A 6 Step Process To Evolve Your Mental Model, by Avinash Kaushik, Occam's Razor, 5-18-2009 The world of data perfection ("clean, auditable data") doesn't exist any more. To deal with this: (1) follow best practices, (2) audit your data periodically, (3) only collect the data you need, (4) discard accuracy for precision, (5) be comfortable with incompleteness, and (6) move fast, think smart.
45. M3tr1c Conv3r51on: The decline of the click-through has publishers looking to make an impression, by Catharine P. Taylor, OMMA, 6-1-2009 The status of the display ad click is so low that some smarter advertisers are using it to get themselves better deals, Taylor reports. Reviews efforts at building better metrics.
46. Behind the Numbers: Making Last-Click Assumptions, by Daisy Whitney, OMMA, 6-1-2009 Most advertising metrics ignore the issue, or where and when the exposure occurred, and instead measure the conversion based solely on the last ad clicked on. This is a marketing mistake Microsoft's Atlas Institute wants to eradicate, Whitney says.
47. 10 Signs You Don't Understand Web Analytics, by Nicole Rawski, iMedia Connection, 6-10-2009 Sign 1: You bought the tool a year ago, and you're still not measuring your business objectives. Sign 4: Your boss is always asking about the number of "hits" your company's website is getting.
48. Google Gives Partners Analytics on YouTube Pages, by Josh Lowensohn, cnet news, 5-20-2009 Google is giving brands and content publishers another way to track YouTube viewership metrics by letting them view it inside of Google Analytics, writes Lowensohn, allowing brands to keep track of information not previously available.
49. Look at This Article. It's One of Our Most Popular, by Carl Bialik, The Wall Street Journal, 5-20-2009 Using popularity rankings to make decisions, has downsides, Bialik observes. The more popular something becomes, even if just from a random burst of interest, the more likely it is to grow ever more popular. Discusses quantity vs. quality.
50. How to Leverage Google's Changes to Referring URLs, by Jason Burby, ClickZ, 4-21-2009 Analyzes the new Google referral URL from search referrals to your site. Discusses technical factors. Previously it passed the keyword and SERP page. Now it includes specified rank value that will help you do keyword improvement.