Big data research in the commercial real estate industry helps make accurate decisions and optimize operations
In the commercial real estate industry, the use of big data platforms to obtain research information can provide more comprehensive, accurate and real-time data support. By analyzing massive amounts of data,Commercial real estate practitionersIt is possible to dig deeperMarket demandCompetitive situationwithConsumer behaviorto develop a more scientific and effective strategy.
Many practitioners who need data analysis in business districts will choose third-party data platforms to find data, such as big data maps. Big data map hasOwn SDK data source, adoptionGeofencingwithGPS data projectionand other ways to monitor and obtain people within the business districtDemographic information and behavioural data
Commercial real estate practitioners can collect all kinds of data related to commercial real estate through the big data platform, including:Market data, demographic data, consumption data, traffic data, etc。Data can come from channels such as departments, third-party data providers, social media, and shopping platforms.
Taking population data as an example, big data maps can collect crowd data. After obtaining the crowd data, proceedCleaning and consolidation, removing redundant information, correcting erroneous data, matching with databases, and filtering valid data, andConsolidate valid data on a single platformto facilitate subsequent analysis and application.
The city map provides crowd portrait information including:Age distribution, gender ratio, marital status, occupational distribution, consumption preferences, etcCommercial real estate practitioners can effectively understand the business districtDistribution of the target populationto better analyze market positioning and target customer groupsTap into potential customersto better develop sales strategies and optimize commercial operations.
The crowd data that can be output by big data maps includes, but only includes:Demographic information, which also includes people in business districts and shopping mallsBehavioral Data, such as:Length of stay, frequency of visits, spending habits, etc。By analyzing these behavioral data, commercial real estate practitioners can understand the behavior patterns and needs of customers in the business district, so as to optimize the layout of commercial facilities and formulate more accurate marketing strategies.
Utilizing a big data platform can:Monitor and analyze the activities and performance of your competitors。By tracking their sales data, brand reputation, market share, and other information, they can understand the strengths and weaknesses of their competitors and adjust their strategies in a timely manner.
Open the city map and enter keywords related to your own brand in the search box, such as brand name, product category, etc. Based on the search results, find competitors related to your own brand and mark them on the map. and find competitors related to your own brandSelect one of the competitors and conduct brand research and analysis
The specific analysis steps are as follows:
Competitor profileUnderstand the basic situation of competing products, including company background, market positioning, number of stores, coverage, business model, sales channels, brand image, etc.
Brand positioning: Analyze the brand positioning of competing products, including the distribution and proportion of stores in provinces, cities, and stores.
Customer needsUnderstand the customer needs and purchase behaviors of competing products, including target customer groups, purchase intentions, consumption habits, etc.
4.Brand recognition: Evaluate the brand awareness and awareness of competing products, including advertising, social networking, word-of-mouth influence, etc.
5.Product features: Analyze the product features, advantages and disadvantages of competing products, including product design, functional characteristics, user experience, etc.
6.Market Trends: Analyze the trends and development prospects of the market in which the competitors are located, including market size, growth rate, market share, etc.
Through the above research and analysis, the commercial real estate industry can more accurately understand the market situation, competitors and target customer groups, so as to formulate corresponding strategies and decisions. Use the big data platform to obtain research informationIt not only improves the efficiency and accuracy of the commercial real estate industry, but also provides strong support for the development of the industry
In the future, with the continuous progress of science and technology and the increasing maturity of big data technology, the commercial real estate industry will be able to use the big data platform more comprehensively to obtain research information. At the same time, commercial real estate practitioners also need to continuously improve their data analysis and application capabilities, so as to better use the big data platform to provide wisdom and impetus for the development of the industry. Only through the rational use of big data platforms can the commercial real estate industry move forward steadily in the fierce market competition and achieve the goal of sustainable development.