{"_id":"553694894c3edb0d00877c68","version":{"_id":"54b95ccdc91cc30c00cc496d","__v":18,"forked_from":"54b95c11d48fef1e007b81db","project":"54b95c11d48fef1e007b81d8","createdAt":"2015-01-16T18:47:41.803Z","releaseDate":"2015-01-16T18:47:41.803Z","categories":["54b95ccec91cc30c00cc496e","551482cefd6a440d0064c0c4","551486dbfd6a440d0064c0d2","551486ecbc466623002afd74","551486f50a0c69170061686a","551487a20bc2c53900e29aba","551488a0fd6a440d0064c0db","551488f7bc466623002afd7f","55148cb80a0c691700616879","5515ad7607e9252f003489a4","553695d76fd3c40d00334956","553696796fd3c40d00334957","553696a76a63520d00ae6159","553697097f093f0d009fd4ef","5536971b4636ed0d00ebb6d4","5536972b6a63520d00ae615b","553697344636ed0d00ebb6d5","553a7a959a32920d008670f2"],"is_deprecated":false,"is_hidden":false,"is_beta":false,"is_stable":true,"codename":"","version_clean":"7.0.0","version":"7"},"__v":7,"project":"54b95c11d48fef1e007b81d8","category":{"_id":"55148cb80a0c691700616879","__v":3,"project":"54b95c11d48fef1e007b81d8","pages":["55148cc40a0c69170061687a","553694894c3edb0d00877c68","560ef4bf83e4100d00a984ec"],"version":"54b95ccdc91cc30c00cc496d","sync":{"url":"","isSync":false},"reference":false,"createdAt":"2015-03-26T22:48:24.941Z","from_sync":false,"order":0,"slug":"getting-started","title":"Getting Started"},"user":"54b95be3c91cc30c00cc496c","parentDoc":null,"updates":[],"next":{"pages":[],"description":""},"createdAt":"2015-04-21T18:18:49.381Z","link_external":false,"link_url":"","githubsync":"","sync_unique":"","hidden":false,"api":{"results":{"codes":[]},"settings":"","auth":"required","params":[],"url":""},"isReference":false,"order":1,"body":"**1. Desktop UMV / Blog Reach -** Provided by SimilarWeb.com, this number is an estimate of unique monthly desktop visitors a website receives.  This is provided as an estimate only and SHOULD NOT be compared or used in place of Google Analytics or actual traffic data.  It is intended only as an indicator of how much traffic a site may receive and SHOULD NOT be used for reporting purposes. \n\n**2. Social Reach-** Sum of all follower counts across channel’s social profiles. \n\n**3. Total Reach=** Sum of blog reach and social reach.\n\n**4. CPM- 'Cost Per Thousand -** CPM' The price of 1,000 advertisement impressions on one webpage. If a website publisher charges $2 CPM, that means an advertiser must pay $2 for every 1,000 impressions of its ad. The \"M\" in CPM represents the roman numeral “Milli” for 1,000.\n\n**5. Bitly Clicks-** Refers to the number of times a bitly generated link pointing back to an online post or article was clicked. \n\n**6. Engagement Events (on GH engagement reports):** Raw sum of engagement a post receives (sum of comments directly on post + bitly interaction + social shares). \n\n**7. Potential Impressions Score (on GH engagement reports)-** This metric can be used to *estimate* how many times the post was* potentially* seen. If users don’t add unique impression values using the impressions setup calculator, then each share is originally counted as 1, and is then multiplied by (Avg. # of Followers the avg. user has on Twitter) + (Avg. # of Facebook Likes/Friends the avg. FB profile has) + (Avg. # of Linkdin Connections the avg. Linkdin user has) + (Avg. # of G+ Circles the avg.G+ user has) + (Avg. # Pinterest Followers the avg. Pinterest user has) etc. Users can also use the potential impressions setup calculator to set campaign average, or their own follower weights, as well as include their own standard CPM value to see how much the campaign was worth.\n\n**8. MozRank-** An SEO link back score that represents a link popularity. It reflects the importance of any given web page on the Internet. Pages earn MozRank by the number and quality of other pages that link to them. The higher the quality of the incoming links, the higher the MozRank. The score is calculated on a logarithmic scale between 0 and 10. Thus, it's much easier to improve from a MozRank of 3 to 4 than it is to improve from 8 to 9. An \"average\" MozRank of what most people think of as a normal page on the Internet is around 3\n\n**9. Moz Domain Authority- **Domain Authority is a score (on a 100-point scale) developed by Moz that predicts how well a website will rank on search engines. Use Domain Authority when comparing one site to another or tracking the “strength” of your website over time. We calculate this metric by combining all of our other link metrics—linking root domains, number of total links, MozRank, MozTrust, etc.—into a single score. To determine Domain Authority, MOZ employ machine learning against Google's algorithm to best model how search engine results are generated. Over 40 signals are included in this calculation. This means your website's Domain Authority score will often fluctuate. For this reason, it's best to use Domain Authority as a competitive metric against other sites as opposed to a historic measure of your internal SEO efforts.\n\n**10. Alexa Traffic-** Global Traffic Rating. The algorithm according to which Alexa traffic ranking is calculated is based on the amount of traffic recorded from users that have the Alexa toolbar installed over a period of three months. This traffic is based on such parameters as reach and page views. The reach refers to the number of Alexa users who visit a particular site in one day. Page view, as its name shows, is the number of times a particular page (URL) is viewed by Alexa users. \n\n**11. Page views- **[Compete.com’s estimate](https://www.compete.com/about-compete/our-data/) of the number of pageviews be counted as one.a blog or web page receives in month if registered with Compete.com. \n\n**12. Post Fequency- **the average number of blog posts published on a blog in one week. \n\n**13. Tactics (GH Search and column selector):**\n   * •\tGiveaways-* indicates that a blog has posted a giveaway on their channel in the past. \n   * •\tGuest Posts-* indicates whether or not the blog has provided a guest post, or has featured a guest post in the past. \n   * •\tSponsored Post- *identifies as accepting monetary compensation for posting content. \n    *•\tProduct Reviews- *indicates that a blog has done product reviews on their channel in the past. \t\n     *•\tAd Network- *indicates that the blog or website is a part of an affiliate network(s).\n    \n**14. FAQ:** How often does recent blog post content get updated in GroupHigh? A publisher's post should be available within 3 times their average post-frequency since their last published post indexed by GroupHigh (Ex: If a blogger posts 7/week it may take up to 3 days for the new post to be indexed).","excerpt":"An overview of all the data that GroupHigh gathers and makes available.","slug":"grouphigh-data-dictionary","type":"basic","title":"GroupHigh Data Dictionary"}

GroupHigh Data Dictionary

An overview of all the data that GroupHigh gathers and makes available.

**1. Desktop UMV / Blog Reach -** Provided by SimilarWeb.com, this number is an estimate of unique monthly desktop visitors a website receives. This is provided as an estimate only and SHOULD NOT be compared or used in place of Google Analytics or actual traffic data. It is intended only as an indicator of how much traffic a site may receive and SHOULD NOT be used for reporting purposes. **2. Social Reach-** Sum of all follower counts across channel’s social profiles. **3. Total Reach=** Sum of blog reach and social reach. **4. CPM- 'Cost Per Thousand -** CPM' The price of 1,000 advertisement impressions on one webpage. If a website publisher charges $2 CPM, that means an advertiser must pay $2 for every 1,000 impressions of its ad. The "M" in CPM represents the roman numeral “Milli” for 1,000. **5. Bitly Clicks-** Refers to the number of times a bitly generated link pointing back to an online post or article was clicked. **6. Engagement Events (on GH engagement reports):** Raw sum of engagement a post receives (sum of comments directly on post + bitly interaction + social shares). **7. Potential Impressions Score (on GH engagement reports)-** This metric can be used to *estimate* how many times the post was* potentially* seen. If users don’t add unique impression values using the impressions setup calculator, then each share is originally counted as 1, and is then multiplied by (Avg. # of Followers the avg. user has on Twitter) + (Avg. # of Facebook Likes/Friends the avg. FB profile has) + (Avg. # of Linkdin Connections the avg. Linkdin user has) + (Avg. # of G+ Circles the avg.G+ user has) + (Avg. # Pinterest Followers the avg. Pinterest user has) etc. Users can also use the potential impressions setup calculator to set campaign average, or their own follower weights, as well as include their own standard CPM value to see how much the campaign was worth. **8. MozRank-** An SEO link back score that represents a link popularity. It reflects the importance of any given web page on the Internet. Pages earn MozRank by the number and quality of other pages that link to them. The higher the quality of the incoming links, the higher the MozRank. The score is calculated on a logarithmic scale between 0 and 10. Thus, it's much easier to improve from a MozRank of 3 to 4 than it is to improve from 8 to 9. An "average" MozRank of what most people think of as a normal page on the Internet is around 3 **9. Moz Domain Authority- **Domain Authority is a score (on a 100-point scale) developed by Moz that predicts how well a website will rank on search engines. Use Domain Authority when comparing one site to another or tracking the “strength” of your website over time. We calculate this metric by combining all of our other link metrics—linking root domains, number of total links, MozRank, MozTrust, etc.—into a single score. To determine Domain Authority, MOZ employ machine learning against Google's algorithm to best model how search engine results are generated. Over 40 signals are included in this calculation. This means your website's Domain Authority score will often fluctuate. For this reason, it's best to use Domain Authority as a competitive metric against other sites as opposed to a historic measure of your internal SEO efforts. **10. Alexa Traffic-** Global Traffic Rating. The algorithm according to which Alexa traffic ranking is calculated is based on the amount of traffic recorded from users that have the Alexa toolbar installed over a period of three months. This traffic is based on such parameters as reach and page views. The reach refers to the number of Alexa users who visit a particular site in one day. Page view, as its name shows, is the number of times a particular page (URL) is viewed by Alexa users. **11. Page views- **[Compete.com’s estimate](https://www.compete.com/about-compete/our-data/) of the number of pageviews be counted as one.a blog or web page receives in month if registered with Compete.com. **12. Post Fequency- **the average number of blog posts published on a blog in one week. **13. Tactics (GH Search and column selector):** * • Giveaways-* indicates that a blog has posted a giveaway on their channel in the past. * • Guest Posts-* indicates whether or not the blog has provided a guest post, or has featured a guest post in the past. * • Sponsored Post- *identifies as accepting monetary compensation for posting content. *• Product Reviews- *indicates that a blog has done product reviews on their channel in the past. *• Ad Network- *indicates that the blog or website is a part of an affiliate network(s). **14. FAQ:** How often does recent blog post content get updated in GroupHigh? A publisher's post should be available within 3 times their average post-frequency since their last published post indexed by GroupHigh (Ex: If a blogger posts 7/week it may take up to 3 days for the new post to be indexed).