An Analysis Of Engineering-as-Marketing Tools by Kaggle | Ecommerce and Consumer Trends

About this Dataset

An Analysis Of Engineering-as-Marketing Tools

An Analysis of Engineering-as-Marketing Tools

Strategies for Expanding Business Reach

By Ian Greenleigh [source]

About this dataset

The engineering-as-marketing tools available today allow startups to maximize and take advantage of the engineering talents they possess. By creating useful tools such as calculators, widgets and microsites, businesses can get in front of potential customers and lead them to their products or services.

This dataset provides a comprehensive list of companies who are using engineering as a marketing strategy and the respective tools these companies have created for it. For each company you get information about their name, product/service, tool name, what the tool does and a URL for further information about it. Additionally there is an extra notes field providing more details about each company’s market habit or any other additional facts that could be relevant in understanding better the use cases these companies are leading with this new way of doing marketing through engineering driven strategies.

With this data you will be able to take a closer look at how effectively this strategy is working while being able to compare different approaches taken inside each industry vertical in order to maximize conversions among leads generated by all these amazing pieces work made possible by software engineers everywhere devoted every day making our lives easier constantly!

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How to use the dataset

Analyzing this data allows users to gain insights into how successful companies are using engineering-as-marketing techniques to generate leads and expand their customer base. It also provides a valuable resource for other organizations wanting to learn more about how other organizations have achieved success with such practices.

This dataset can be used in many ways such as:

Analyzing different trends in which engineering-as-marketing techniques are being used across multiple industries

Examining whether certain techniques lead to higher lead generation or increased customer base

Comparing effectiveness between companies using different types of tools etc.

To get started with this dataset, simply load it up into some kind of data analysis software package that supports csv file processing capabilities such as Tableau or R Studio. Then define each column appropriately by adding appropriate labels onto them so that they can be understood easily when looked at from a first glance perspective by yourself or other members on your team who are looking over your datasets before any analyses start happening on those files within your chosen data analysis software package . Now you should be all set up for analyzing this dataset!

Research Ideas

Leveraging this data to understand the effectiveness of engineering-as-marketing for various companies.

Creating a sentiment analysis of customers’ responses to engineering-as-marketing tools in order to determine which tools are most popular and successful.

Analyzing what types of engineering-as-marketing tools have been most successful with specific customer segments, to inform future product development and marketing tactics

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: Engineering as Marketing.csv

Column name	Description
Company name	The name of the company. (String)
What co does	A brief description of what the company does. (String)
Tool name	The name of the engineering-as-marketing tool. (String)
What tool does	A brief description of what the tool does. (String)
URL	The URL of the engineering-as-marketing tool. (String)
Notes	Additional notes about the engineering-as-marketing tool. (String)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Ian Greenleigh.

Tables

Engineering As Marketing

@kaggle.thedevastator_an_analysis_of_engineering_as_marketing_tools.engineering_as_marketing

9.68 KB
10 rows
7 columns


CREATE TABLE engineering_as_marketing (
  "index" BIGINT,
  "company_name" VARCHAR,
  "what_co_does" VARCHAR,
  "tool_name" VARCHAR,
  "what_tool_does" VARCHAR,
  "url" VARCHAR,
  "notes" VARCHAR
);