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A marketing tool that helps you to market your products using organic marketing. This tool can potentially save you 1000s of dollars every year. The tool predicts the reach of your posts on social media and also suggests you hashtags for captions in such a way that it increases your reach.

License: MIT License

Python 12.16% CSS 83.40% JavaScript 1.34% HTML 3.10%
python3 nlp nlp-machine-learning api django machine-learning marketing tool sklearn zulip-bot

merkalysis's Introduction

Merkalysis

What is Merkalysis

Merkalysis is a basically a Marketing Tool. Merkalysis stands market analysis.
Through this tool, we are trying to reduce the costs of marketing for small-scale startups and bloggers.
This tool can be used by anyone as it predicts the reach and perhaps the right hashtags to use for your post.
Currently, this works only for Instagram. We'll be expanding this soon.

Why Merkalysis?

As mentioned above, merkalysis helps one to analyse their market reach beforehand. This could potentially save thousands of dollars every year as marketing is something that every company and/or blogger, especially small-scale startups and bloggers do in order to increase their brand awareness.
Marketing is something that will never die. Through Merkalysis, we provide easier marketing solutions. More precisely, we focus on organic marketing, i.e marketing without having to pay money over inorganic marketing.
Usually, people turn towards social media marketing. Not always do they get the reach that is promised to them. Sometimes, just to meet their targets, these social media platforms turn to clickfarms to have the post reached to the promised number which is unfair for the advertiser. Also, as mentioned earlier, this eats away a lot of money.
Merkalysis predicts your market reach beforehand.

But How?

We make use of organic marketing techniques, like for example, usage of hashtags. Hashtags are powerful marketing tools through which you can reach the right audience not just in one particular region, but throughout the world.
Not everyone uses hashtags in today's world. We look at promoting the usage of hashtags to reach a wider range of audience.
We basically analyse the hashtags that you use.
Through the hashtags that you use, we predict your reach.
This might help you as it serves as the right tool for you to make your business-related decisions.

An Extension To This !!!!

Through a given caption and photo, we predict your hashtags. We try our level best to predict the hashtags you use in such a way that it increases your reach!
Sounds cool right? โค๏ธ

Integrations

Zulip


Currently, Merkalysis has an active Zulip integration where one can simply join the server. This is the organisation url. You can join this organisation for the following reasons:
  • You can publicize your post to a bigger crowd with many people sharing the same interest as your post.

  • You can use the functionality of predicting the reach and getting hashtags on Zulip itself.

  • You can also view posts of other people and this, on the whole, would be like an organic marketing group.

  • You have dedicated channels here, so one can post the link of their posts in the dedicated channels (like tech, finance, etc).

How to use the bot's functionality on Zulip?

To use the bot on Zulip to predict your reach and also hashtags that possibly might be good for your post, use the following command:

merkalysis reach <num_followers> <caption>
Example : merkalysis reach 500 I love machine learning and blockchain. I have my own product development startup.


That's it! Too Simple maybe? ๐Ÿ˜„

Merkalysis API

Merkalysis now has an API that one can use in order to utilise the functionalities of this tool in your apps.
For now, you can call the API for 3 different purposes.

  • To predict only the reach given the number of followers or friends you have

      sending a request to "localhost:8000/api/followers=<num_of_followers_or_friends>"
      returns the reach predicted by the current model
    
  • To predict only the hashtags given a particular caption

      sending a request to "localhost:8000/api/caption=<caption>"
      returns hashtags that could possibly be used in your posts
    
  • To predict both, the reach and hashtags, given the number of followers, or friends, and caption respectively.

      sending a request to "localhost:8000/api/followers=<num_of_followers_or_friends>/caption=<caption>"
      returns the reach predicted by the current model and hashtags that could possibly be used in your posts
    

The API can be used by anyone and is free to use for the time being. We might make it paid after a while.
One need not use a private key to access the API for now. You just need to send requests to the mentioned URLs and the response will be got in JSON format.

Contributing

Contributions of all sizes are welcome. Please review our contribution guidelines to get started. You can also help by reporting bugs.

License

You may copy, distribute and modify the software provided that modifications are described and licensed for free under LGPL-3. Derivatives works (including modifications or anything statically linked to the library) can only be redistributed under LGPL-3, but applications that use the library don't have to be.

merkalysis's People

Contributors

ctxplorer avatar rahulkumaran avatar rohithgilla12 avatar

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merkalysis's Issues

Add a review about how you think this marketing tool is and how it could be used by businesses

Understand what merkalysis is and give us a review about how you think this tool could help businesses. Also, do mention whether or not you like this tool and tell us if you think it's a helpful tool. Any review would do.

Just make sure to add your reviews in the reviews folder. Create another folder with your github username inside reviews folder and add a review.md file that has your review about the tool.
Also, do star the repo if you like this project! โค๏ธ
Thanks!

Add contribution & bug reporting guidelines

Describe the bug
Contribution guidelines is missing in the repo. Moreover, hyperlinks in README.md/Contributing are broken.

To Reproduce
Steps to reproduce the behavior:

  1. Go to 'README.md/Contributing'
  2. Click on 'contribution guidelines' or 'reporting bugs'

Expected behavior
Those links should lead to respective docs in the repo. However, those docs needs to be created before they could be linked.

Desktop

  • OS: Windows 10
  • Browser: Chrome
  • Version: 70.0.3538.110

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