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Social Media Marketing Strategy Insights
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About
Focuses on Influencer Engagement and Performance by documenting the outcomes of marketing inquiries directed at top online personalities. It reveals information about market segments and provides clear insight into how people may react and interact with specific campaigns. By studying the trends and habits of target audiences when they encounter various types of advertisements and promotions, users can create focused campaigns aligned with audience preferences, resulting in improved customer engagement and ROI metrics.
Columns
The data file, Whatsgoodly - Thought Catalog Influencers.csv, contains the following columns:
- Question (Text): The specific question that was asked to the influencers.
- Segment Type (Text): The type of target audience that was surveyed for each question (e.g., University, Custom).
- Segment Description (Text): A detailed description of the target audience.
- Answer (Text): The answers given by the influencers or respondents.
- Count (Numerical): The number of responses recorded for each corresponding answer.
- Percentage (Numerical): The percentage of total responses associated with each answer.
- index (Numerical): An index column for record keeping.
Distribution
The data is typically structured for CSV format. The file, named Whatsgoodly - Thought Catalog Influencers.csv, is 715.81 kB in size and contains 7 columns. There are 5,460 valid records included in the file. Key numerical statistics show that the 'Count' column ranges from 0 to 1,479 responses, with a mean of 36.2. The 'Percentage' column ranges from 0 to 1, with a mean of 0.25. The data is static, with an expected update frequency of 'Never'.
Usage
The data is useful for those aiming to maximise their revenue through the application of online influencer marketing strategies. It provides essential groundwork for understanding audience behaviour. Potential applications include:
- Assessing what type of content (using the 'Questions' column) is most likely to generate engagement within the surveyed segment or group.
- Using the 'Segment Type' column to determine which kinds of influencers are most effective within certain demographics or social media circles.
- Analysing 'Counts' and 'Percentages' together to understand how many people answered each question and what percentage responded positively or negatively.
- Identifying marketing strategies that have been effective in attracting the target audience for a particular segment.
- Determining which strategies and segments generate the highest engagement and click-through rates for an online influencer campaign.
Coverage
The dataset focuses on data collected from successful figures within social media and their target audience segments. The segments surveyed include categories such as 'University' and 'Custom' demographics. The scope includes detailed descriptions of the target audiences surveyed, providing insight into who these people are in terms they would understand. Geographic and time range details are not specified.
License
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Who Can Use It
- Marketing Strategists: To build marketing plans that leverage existing relationships between customers and corporate brands through digital technology like social media accounts managed by successful digital personalities.
- Business Developers: To maximise revenue by applying insights derived from effective online influencer marketing strategies.
- Researchers and Analysts: For analyzing which influencers are most successful in promoting a particular brand or product, and identifying effective engagement strategies.
- Content Creators: To understand how people react and interact with certain campaigns to increase visibility and engagement.
Dataset Name Suggestions
- Online Influencer Marketing Engagement and Performance
- Influencer Engagement and Performance
- Social Media Marketing Strategy Insights
- Whatsgoodly - Thought Catalog Influencers Data
Attributes
Original Data Source:Social Media Marketing Strategy Insights
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