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How Do We Rank

Our Algorithm - Unbiased. Community Driven. Transparent.
Companies can't buy their way to the top; they have to earn their way to the top.

We take the rankings on extremely seriously. Our algorithm is standardized such that it automatically determines the rankings of the companies based on their achievements and reviews. Simply put, there is no favoritism on .

Review Strength
  • Number of Reviews

    The algorithm takes into consideration the total number of reviews a company has received.

    Our Thought Process: Our rankings can be far more useful to our visitors as we garner more reviews. The additional referentials allow the algorithm to be more accurate on a companies standing.

  • Average Rating

    The algorithm measures the average star rating a company receives based on user reviews.

    Our Thought Process: Although intuitive, it is important to note the power of averages. The average star ratings from the "crowd" gives our visitors a more comprehensive picture on a company.

  • Real Experiences

    The algorithm places more emphasis on reviews left by real LinkedIn connected reviewers.

    Our Thought Process: Anonymous reviews should hold less value than reviews that are tied to identities. Reviews connected with legitimate LinkedIn account holders with referential experience hold more value.

  • Reviewer Quality

    The algorithm gives more weight to client reviews than employee reviews. Reviews that fail to classify the relationship hold the least value.

    Our Thought Process: Clients pay the bills. We give more weightage to individuals who have put their money where their mouth is. Employee reviews also hold some value as they may offer internal views.

  • Insightful

    The algorithm gives more weightage to reviews that relay a deep understanding of the experience and or of use to other readers.

    Our Thought Process: A simple statement "3号彩票登录 XYZ sucks" holds some value, however, a review that further explains as to why it is that 3号彩票登录 XYZ sucks holds far more usage and insight.

  • Relevance

    Most companies offer multiple services and solutions. The algorithm takes into consideration which solution the reviews are referring to.

    Our Thought Process: If a company offering multiple services and solutions recieves reviews, those reviews should only impact the rankings of those categories that the review references.

  • Type of Reviews

    The algorithm measures the ratio of textual reviews versus the video reviews left on a provider.

    Our Thought Process: Our visitors get better referentials when they can watch and read reviews. A company that can attract an equal number of textual reviews and video reviews is maintaining an ideal ratio.

  • Age of Reviews

    The algorithm calculates the average age of the reviews; favoring newer reviews over older reviews.

    Our Thought Process: A company can certainly improve or decline their performance over time. What reviewers claim five years ago should hold less value in comparison to more recent claims.

  • Time-Related / Numerical Information

    The algorithm takes into consideration the use of time-related and numerical details within a review.

    Our Thought Process: Reviewers sharing this information are more likely to be invested in the software they are using and are a great resource for potential buyers.

  • Category-Relevant Language

    The algorithm takes into consideration the use of language specific or relevant to the type of service or software being reviewed.

    Our Thought Process: A reviewer using language relevant to the type of service or software being reviewed suggests a higher depth of knowledge with the service or software being reviewed.

  • Organic Reviews

    The algorithm takes into consideration whether a review was incentivized, or if the review was organic.

    Our Thought Process: It is important to ensure companies are able to get organic reviews that are not based on a monetary or other type of incentive.

  • Contributor Level

    The algorithm takes into consideration the level of the contributor leaving the review, giving more weight to more credible reviewers.

    Our Thought Process: Those with a higher contributor level are more invested in producing fair reviews and have a deeper understanding of that which they are reviewing.

  • Emotional Language

    The algorithm takes into consideration the use of emotional language suggesting an emotional rather than a subjective review.

    Our Thought Process: Reviewers which use emotional language are less likely to be looking at all sides of the service or software and may not give a fair representation of their experience.

  • Duplicate / Similar Reviews

    The algorithm takes into consideration whether a review is found to be similar in language to another and to what extent there is a similarity.

    Our Thought Process: Redundant or copied reviews provide less value to a reader than completely organic and original reviews written based on unique experiences.

 
Reviewer Components
  • Title of Reviewer

    The algorithm takes into consideration the title of the reviewer in terms of their position at the company they represent.

    Our Thought Process: A reviewer with an executive title may be more experienced with the service or software and may be able to give deeper insight into their experience.

  • 3号彩票登录 Size

    The algorithm takes into consideration the size of the company which the reviewer represents.

    Our Thought Process: Large companies may have more intricate requirements for services and software, giving them more of an opportunity to see the benefits and shortcomings.

  • Number of Reviews

    The algorithm takes into consideration the number of reviews a reviewer has contributed to the community without incentive.

    Our Thought Process: More experienced reviewers will understand what a reader is looking for in a review to relay their experiences in a way a reader can comprehend and relate to.

  • Helpful Votes

    The algorithm takes into consideration the number of helpful votes the reviewer has acquired on their reviews.

    Our Thought Process: Reviewers which amass many helpful votes provide reviews which reviewers appreciate due to the content of the review and how it relates to what they are wanting to learn about.

  • Industry

    The algorithm takes into consideration the industry the reviewer does business in.

    Our Thought Process: Reviews left by reviewers involved in industries relevant to the service or software they are reviewing will be more invested in their experience.

 
Sentiment Strength
  • Website Metrics

    The algorithm uses factors such as quantity and quality of links to determine the strength of a company website.

    Our Thought Process: Great businesses have embraced the online world. Our algorithm incorporates tools which have been worked on for over a decade, to replicate the same signals Google uses to determine the importance of a website.

  • Brand Metrics

    The algorithm checks for offline usage of brand and domain name in the news, media, and social outlets.

    Our Thought Process: Not every review on a business resides on . To give our visitors a comprehensive view of a company, we included the sentiment of mentions of a company even outside of .

 
Engagement Strength
  • Profile Engagement

    The algorithm measures the effort a business takes in engaging and using the capabilities of their company profile page to inform our visitors.

    Our Thought Process: Businesses that embrace the capabilities of their profile page (respond to questions and respond to negative reviews) provide more value to our visitors and should be rewarded.

  • Review Engagement

    The algorithm credits additional points to companies that are engaged and invested in trying to generate reviews on their company profile page.

    Our Thought Process: Reviews enable smarter purchasing decisions. A company that uses the badge to generate reviews and signs up for the Customer Outreach program is embracing transparency and reviews.

  • Contributor Program

    The algorithm determines if a company engages in contributing thought provoking, insightful content in our blog for the benefit of our visitors.

    Our Thought Process: Information is power. Most of our visitors take a purchasing decision very seriously. A company that embraces contributions to our blog by providing exclusive, valuable, and trendy content is awarded.

  • Self-Prescribed FAQs

    The algorithm takes into consideration whether a provider has produced their own frequently asked questions from their experiences.

    Our Thought Process: By providing sample questions and answers which are commonly asked, a provider is beginning a dialogue with those interested in signing up for their product or service.

  • Quarterly Profile Updates

    The algorithm takes into consideration whether the profile is updated at least quarterly to ensure accurate and timely information.

    Our Thought Process: For many companies, they are constantly making improvements to their offerings. The information in their profile should always reflect those changes.

  • Video Interviews

    The algorithm takes into consideration whether a representative of the company has done a video interview with

    Our Thought Process: An interview with the member of our team gives a company the opportunity to create a dialogue with not only our team, but with those viewing the interview.

  • Negative Reviews are Resolved

    The algorithm takes into consideration the number negative reviews the provider has resolved with their clients.

    Our Thought Process: Companies which consistently resolve issues with their clients are most likely to learn from those experiences to improve their products and/or services.

 
Verified Status

wants to make sure the data presented to its visitors is complete and accurate. We give a substantial advantage to those willing to be transparent and honest about their credentials.

  • Quick Verification From CPA, CFP, CFA, CMA or an Attorney

    In order for company key facts to be verified, we request companies to submit the 3号彩票登录 Key Facts Certification Form.

    Simply fill out the form and have a certified public accountant, chartered financial analyst, certified management accountant, or attorney sign the form attesting to the complete accuracy of the information. The certifier may work at the applicant firm or be independent, as long as the certifier is a licensed professional with credentials that are current and in good standing.

 
Profile Strength
  • Profile Key Facts

    The algorithm takes into consideration whether a profile has its fields completed or not.

  • Email Address
  • Website URL
  • 3号彩票彩票app下载Phone Number
  • Physical Address
  • Corporate Key Facts
  • Management Team
  • Major Clients
  • Core Categories
  • Secondary Categories
  • Corporate Description
  • Content Submission
  • Profile Claimed

    The algorithm takes into consideration whether or not the company has claimed their service or software profile.

    Our Thought Process: Kudos to companies that claim their profile. Claimed profiles offer additional accuracy and portray a sense of ownership and seriousness to our website visitors.

  • Minimum Reviews Requirement

    The algorithm only determines a profile completed once it has achieved a minimum of five reviews.

    Our Thought Process: A company has to have a minimum of 3 textual reviews that are connected to a LinkedIn account and a minimum of 2 video reviews before this requirement is met.

 
Penalty Components
  • No Reviews

    The algorithm penalizes profiles which have yet to have reviews posted to their profile from a reviewer.

    Our Thought Process: Profiles without any reviews serve no purpose to those searching for a type of service or software, or to those wanting to learn about a particular service or software.

  • Never Claimed

    The algorithm penalizes profiles which have yet to be claimed by a representative of the service or software being represented.

    Our Thought Process: It is important for service and software providers to ensure that their information is accurate and updated in a timely fashion.

  • Platform Abuse

    The algorithm penalizes profiles which breach the spirit of the platform or the terms of use agreed to for use of the platform.

    Our Thought Process: Companies which intentionally abuse the platform should be subject to a penalty due to the effect they have on others.

  • Fake Reviews

    The algorithm penalizes those which facilitate the creation of automatically generated reviews or spam reviews.

    Our Thought Process: Reviews left by reviewers attempting to game the system do not provide any value to those wanting to learn more about a product or service.

 

Forecast Your Rank

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Projected Rank

Projected rank will be shown here.
 

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3号彩票登录

Review Strength

5
0
100
0
100
0
100
0
100
0

Engagement Strength

No Yes
No Yes

Profile Strength

100
0

Verified Status

No Yes

Penalty Box

No Yes
No Yes
No Yes
No Yes