Online Influencer Marketing
Influencer Engagement and Performance
By Adam Halper [source]
About this dataset
This dataset contains insightful information about the marketing strategies of the world's top online influencers. It includes questions that were asked to various influencers, the type of segment they were targeting, a description of their market segment, and their answers with corresponding counts and percentages. Thus, this dataset provides an interesting look into how successful people within social media have achieved success —allowing anyone to gain greater understanding into what makes these influencers tick. It also serves as an invaluable source for those wishing to develop effective strategies in order to approach similar audiences and increase both visibility and engagement. Plus, it explores associated questions based on diverse nuances within social media marketing
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How to use the dataset
The data can be useful if you're looking to maximize your revenue through use of online influencer marketing strategies. It's important that you understand the trends and habits of your target audience when it comes to interacting with various types of advertisements and promotions. This dataset can be used as a starting point for understanding what works best for different segments or groups in order to create successful campaigns.
There are several ways this data could be used:
- Use the Questions column to assess what type of content is most likely engage with by the segment or group being surveyed
- The Segment Type column can be used as a starting point for understanding what kinds of influencers work best within certain demographics or social media circles
- Use the Segment Description column to get an idea of who these people are in terms they would understand
- Read through the Answers column carefully as this will give you insight into how people may react and interact with certain campaigns
- Analyse Counts & Percentages columns together; this will help provide you with an understanding on how many people answered each question & what percentage responded positively/negatively in comparison
Ultimately, this dataset can be very helpful when building marketing plans that aim at leveraging existing relationships between customers and corporate brands through digital technology like social media accounts & blogs managed by successful celebrities & digital personalities (aka online influencers). You’ll have a better picture if you understand what works best for different segments or groups which allows you create focused campaigns aligned with audience preferences thus resulting in improved customer engagement & ROI metrics!
Research Ideas
- Analyzing which influencers are most successful in promoting a particular brand or product.
- 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
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
- You are free to:
- Share - copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt - remix, transform, and build upon the material for any purpose, even commercially.
- You must:
- Give appropriate credit - Provide a link to the license, and indicate if changes were made.
- ShareAlike - You must distribute your contributions under the same license as the original.
Columns
File: Whatsgoodly - Thought Catalog Influencers.csv
Column name |
Description |
Question |
The question asked to the influencers. (Text) |
Segment Type |
The type of target audience that was surveyed for each question. (Text) |
Segment Description |
A detailed description of the target audience. (Text) |
Answer |
The answers given by the influencers. (Text) |
Count |
The number of responses for each answer. (Numerical) |
Percentage |
The percentage of responses for each answer. (Numerical) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Adam Halper.