百度指数

tool describes

百度指数It is a tool owned by Baidu that focuses on search data mining and analysis. It relies on the massive user search behavior data of Baidu search engine to provide users with services such as keyword search trends, user portraits (region, age, interest distribution) and related word analysis. Data visualization (charts, maps, etc.) visually presents users 'attention and characteristics to specific keywords, helps understand user needs and track market dynamics. It is an important decision support tool for market research, public opinion monitoring, content creation and other scenarios.

core functions

1. Search trend analysis

• Track the changes in search popularity of keywords in real time, provide trend curves in the day/week/month/year dimension, and support year-on-year and month-on-month data comparison (such as the peak search change of "air conditioner" in summer).

• Related event annotation: Automatically match major events (such as policy releases, product launches) with fluctuations in search popularity to assist in analyzing the causes of trends (such as the surge in popularity of "new energy vehicles" after the release of subsidy policies).

2. User portrait visualization

• Regional distribution: Visualize the search proportion of keywords in various provinces and cities through maps (for example, the search proportion of "hot pot" in Sichuan and Chongqing exceeds 30%).

• Age and gender: Calculate the age stratification of search users (for example, 65% of people aged 20-24 for postgraduate entrance examinations) and the gender ratio to clearly target the core audience.

• Interest distribution: Analyze the associated interest tags of search users (such as users searching for "yoga" while also focusing on areas such as "fitness meals" and "meditation") to explore potential needs.

3. Related word analysis

• Display popular words that are highly related to core keywords (for example, related words for "mobile phone" include "Huawei","cost performance" and "new product release") to help expand the analysis dimension and discover user concerns.

4. Industry and region comparison

• Support multiple keyword comparisons (such as the difference in search trends between "milk tea" versus "coffee"), or the popularity of the same keyword in different regions (such as the search volume for "down jacket" in the north in winter far exceeds that in the south).

usage scenarios

• Market research: Companies accurately target target customer groups and optimize product promotion strategies through user portraits of the keyword "infant milk powder"(mainly women aged 25-35, concentrated in first-tier and second-tier cities).

• Public opinion monitoring: Track the search trends and geographical distribution of hot events (such as "food safety"), evaluate the spread of public opinion and users 'emotional tendencies (judge negative tendencies through relevant words such as "exposure" and "complaint").

• Content creation: Self-media determines the creation direction and improves content matching through the interest distribution of "travel guides"(associated with "niche attractions" and "self-driving tours").

• Product iteration: Home appliance companies use the related words of "sweeping robot"("automatic dust collection" and "obstacle avoidance") to understand the core needs of users and guide the research and development of new products.

applicable population

• Marketing and marketing personnel: It is necessary to understand users 'attention and characteristics to products/brands and formulate precise marketing strategies.

• Public opinion analyst: Track the spread track and influence scope of social hot spots and brand public opinion.

• Content creator: Determine the direction of topic selection based on keyword popularity and user interests and increase content exposure.

• Enterprise decision makers: Determine market potential and assist strategic planning through trend analysis of industry keywords (such as "new energy batteries").

unique advantages

1. Authoritative data sample: Relying on Baidu's search engine, a large number of users (covering more than 90% of China's search market share), the data sample size is large and highly representative, and is closer to the real behavior of domestic users.

2. Accurate dimensions of portraits: User portraits are based on real search behavior rather than questionnaires or buried data, which can more objectively reflect user needs (for example, 80% of search users for "maternal and infant products" are actual parent groups).

3. Visualization and intuitive: Data such as region, age, and interests are visually presented through maps, pie charts, and line charts, which lowers the threshold for data analysis and can be quickly interpreted by non-professionals.

4. Strong real-time: Search data is updated daily, which can timely capture the impact of short-term hot spots (such as festivals and emergencies) on user behavior, and the response speed is faster than traditional surveys.