ASO - Keyword Optimisation Cycle Script

A simple Python script for measuring the effects of the keyword optimisation cycle

Accepting pull requests!

What does it do?

What is a keyword optimisation cycle? You can read about what a keyword optimisation cycle is courtesy of the lovely people over at ASOstack

In this tool, you put in your metadata before and after a change, your keyword list and the rankings before and after the change.

From this, it will tell you the average improvement/drop in every keyword that has a word contained in your metadata.

Getting Started

• Download the folder from Github
• Fill in the format.csv folder with your previous app metadata, and the changes you made.
• Fill your keyword list in the same file, and the ranking before and after the change.
• Launch Jupyter notebook and open the file, run through the code.
• You'll be left with an 'output.csv' file with the average change that has occurred to all the keywords you're tracking that are contained within your metadata.

Motivation

Implementing and scaling a keyword optimisation cycle can be difficult and time consuming. I wanted a script to automate the process of evaluating how my keyword changes impacted rankings.

Roadmap

• Manage changes in relative weight of keywords, e.g. keyword moving from the title to the subtitle/short description.
• Take into account the Search Popularity to evaluate the impact of each keyword change.
• Remove non-valuable words like 'and, an, for' etc.
• iOS keywords support

Built With

Python, Jupyter, Pandas, Numpy

Authors

• Fede Behrens - Initial work