ANNUAL REPUTATION RATING RESEARCH OF LEADING DEVELOPERS IN DUBAI 2023
Experts from Reputation House conducted large-scale research among 28 developers in the UAE using their own IT technologies and artificial intelligence.This research contains relevant data, methodology, change dynamics, and ratings.
Research methodology
Online representation
Analytics
Communications
We analyze the rating in the context of 8 areas, which consist of 45 parameters. Participants can get from 0 to 100 points for each parameter. All data is gathered and obtained from open sources, processed, and calculated using the patented Reputation House methodology based on 12 years of experience.
Areas consist of these parameters:
Areas consist of these parameters:
- Attendance
- Search query analysis
- Website links
- Website visibility
- Technical status
- Internal optimization
- Download speed
- Search query analysis
- Website links
- Website visibility
- Technical status
- Internal optimization
- Download speed
Analysis of posts and mentions in mass media for the last year by number and relevance
- Company representation on social media
- Quality of photos and page layout - Proper content on the page- Level of quality and interaction with users
- Presence of headers
- Presence of descriptions
- Presence and evaluation of stories
- The number of followers
- The number of posts
- The number of likes
- Quality of photos and page layout - Proper content on the page- Level of quality and interaction with users
- Presence of headers
- Presence of descriptions
- Presence and evaluation of stories
- The number of followers
- The number of posts
- The number of likes
- Number of reviews on key review websites
- A total number of reviews
- Presence of negativity
- Average rating
- The degree of influence the risk index has on the audience
- A total number of reviews
- Presence of negativity
- Average rating
- The degree of influence the risk index has on the audience
- Parameters and query frequency- Presence of relevant videos by a search query with consideration of user activity
- The number and quality of videos
- The degree of interaction of risk index
- The number and quality of videos
- The degree of interaction of risk index
- The number of target queries by regions
- The degree of engagement by target queries about the brand
- A total number of mentions in the regions
- The degree of engagement by target queries about the brand
- A total number of mentions in the regions
The coefficient of the SERM evaluation is based on the data analysis of frequency queries in the Google search engine with consideration for user activity analysis.
- Analysis of TOP 20 Google search results by a chosen region, by video search, and by news sections
- Social media activity analysis (LinkedIn, FB, Twitter, Instagram)
- Analysis of review websites that appear in search results by a chosen region, number, and tone of reviews
- Analysis of review websites by the number of negative and positive reviews
- Distribution of the number of platforms with different tonalities by a query (tonality is a ratio of positive, neutral, and negative information on the internet)
- Query frequency
- Presence of negativity by search queries
- The number of negative, positive, and neutral information in search results
- Query relevance
- Analysis of TOP 20 Google search results by a chosen region, by video search, and by news sections
- Social media activity analysis (LinkedIn, FB, Twitter, Instagram)
- Analysis of review websites that appear in search results by a chosen region, number, and tone of reviews
- Analysis of review websites by the number of negative and positive reviews
- Distribution of the number of platforms with different tonalities by a query (tonality is a ratio of positive, neutral, and negative information on the internet)
- Query frequency
- Presence of negativity by search queries
- The number of negative, positive, and neutral information in search results
- Query relevance
The analysis was conducted using an automated monitoring system to identify relevant and irrelevant mentions from the total data array.
- Mention - Mention rate
- Tone of mentions (it is the ratio of positive, neutral, and negative information on the internet)
- Analysis of reach and audience engagement
- Analysis of negative and positive mentions of a brand on the internet
- Brand loyalty index
- Engagement and mentions index
- Mention - Mention rate
- Tone of mentions (it is the ratio of positive, neutral, and negative information on the internet)
- Analysis of reach and audience engagement
- Analysis of negative and positive mentions of a brand on the internet
- Brand loyalty index
- Engagement and mentions index
Research methodology
We analyze the rating in the context of 8 areas, which consist of 47 parameters. Participants can get from 0 to 100 points for each parameter. All data is gathered and obtained from open sources, processed, and calculated using the patented Reputation House methodology based on 12 years of experience.
Areas consist of these parameters:
Areas consist of these parameters:
Online representation
- Attendance
- Search query analysis
- Website links
- Website visibility
- Technical status
- Internal optimization
- Download speed
- Search query analysis
- Website links
- Website visibility
- Technical status
- Internal optimization
- Download speed
Analysis of posts and mentions in mass media for the last year by number and relevance
- Company representation on social media
- Quality of photos and page layout - Proper content on the page- Level of quality and interaction with users
- Presence of headers
- Presence of descriptions
- Presence and evaluation of stories
- The number of followers
- The number of posts
- The number of likes
- Quality of photos and page layout - Proper content on the page- Level of quality and interaction with users
- Presence of headers
- Presence of descriptions
- Presence and evaluation of stories
- The number of followers
- The number of posts
- The number of likes
Communications
- Number of reviews on key review websites
- A total number of reviews
- Presence of negativity
- Average rating
- The degree of influence the risk index has on the audience
- A total number of reviews
- Presence of negativity
- Average rating
- The degree of influence the risk index has on the audience
- Parameters and query frequency- Presence of relevant videos by a search query with consideration of user activity
- The number and quality of videos
- The degree of interaction of risk index
- The number and quality of videos
- The degree of interaction of risk index
- The number of target queries by regions
- The degree of engagement by target queries about the brand
- A total number of mentions in the regions
- The degree of engagement by target queries about the brand
- A total number of mentions in the regions
Analytics
The coefficient of the SERM evaluation is based on the data analysis of frequency queries in the Google search engine with consideration for user activity analysis.
- Analysis of TOP 20 Google search results by a chosen region, by video search, and by news sections
- Social media activity analysis (LinkedIn, FB, Twitter, Instagram)
- Analysis of review websites that appear in search results by a chosen region, number, and tone of reviews
- Analysis of review websites by the number of negative and positive reviews
- Distribution of the number of platforms with different tonalities by a query (tonality is a ratio of positive, neutral, and negative information on the internet)
- Query frequency
- Presence of negativity by search queries
- The number of negative, positive, and neutral information in search results
- Query relevance
- Analysis of TOP 20 Google search results by a chosen region, by video search, and by news sections
- Social media activity analysis (LinkedIn, FB, Twitter, Instagram)
- Analysis of review websites that appear in search results by a chosen region, number, and tone of reviews
- Analysis of review websites by the number of negative and positive reviews
- Distribution of the number of platforms with different tonalities by a query (tonality is a ratio of positive, neutral, and negative information on the internet)
- Query frequency
- Presence of negativity by search queries
- The number of negative, positive, and neutral information in search results
- Query relevance
The analysis was conducted using an automated monitoring system to identify relevant and irrelevant mentions from the total data array.
- Mention - Mention rate
- Tone of mentions (it is the ratio of positive, neutral, and negative information on the internet)
- Analysis of reach and audience engagement
- Analysis of negative and positive mentions of a brand on the internet
- Brand loyalty index
- Engagement and mentions index
- Mention - Mention rate
- Tone of mentions (it is the ratio of positive, neutral, and negative information on the internet)
- Analysis of reach and audience engagement
- Analysis of negative and positive mentions of a brand on the internet
- Brand loyalty index
- Engagement and mentions index
The rating system was designed and made among the 28 developers that were included in the list and participated in the reputational research. This rating scale is not an unambiguous opinion of the market.
If you want to participate, get to know your reputational rating, and add yourself to the list of research participants, you can always contact us, and we will conduct it for you using a patented methodology!
If you want to participate, get to know your reputational rating, and add yourself to the list of research participants, you can always contact us, and we will conduct it for you using a patented methodology!
A DEVELOPER COMPARISON TOOL ACCORDING TO A METHODOLOGY
Click below to see our metodology
Review website
Social media
Media activity
Website
Monitoring
SERM
Brand awareness
Video
#5
#6
#7
#8
#4
#3
#2
#1
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REPUTATION RATING
OF LEADING DEVELOPERS IN DUBAI
OF LEADING DEVELOPERS IN DUBAI
If you want your company to participate in the study, be included in the ranking and attended in the annual awards, then fill out the information and we'll add you to the list.
If you want your company to participate in the study, be included in the ranking and attended in the annual awards, then fill out the information and we'll add you to the list.
THE FOLLOWING TOOK PART IN THIS RESEARCH:
Igor Rizov
Editor-in-Chief and owner of the Master of Negotiations magazine
Leader on the market in the field of reputation management when working with major brands and companies, media and political figures, and on projects of any complexity. We are always ready to prove our experience and professionalism.
Reputation House
The leading digital reputation management agency on the Internet
Business coach, one of the leading experts in the field of negotiations, and a consultant for one of the largest developers in UAE.
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