AI Marketer is an AI-enabled marketing analytics tool that uses only a few clicks to generate insightful data. Its for online marketer to analyze marketing data by AI & ML algorithms without a single-line of code.
By using our preset marketing task, you can get answer from unstructured data in numbers, text, tables, and charts.
Updated the pages structure of Streamlit App, based on that all the functions are being moved to /pages folder, if you are not able to replicate the pages function, please update your streamlit version
streamlit run Home.py
To help marketer with no statistic / data analytics background to analyze data and handling routine marketing task in just a few clicks
https://youtube.com/channel/UCvmEPC9fUfY8L2-v9IV1i4w
Two Parts – Tasks / Module
Task:
→ Combine different modules to analysis and generate different graphs
Example: RFM model = Classification + Regression
Analyse CSV file and show the data into bar chart by analysed segment groups
Module:
→ independent function and method
| Tasks | Input | Result |
|---|---|---|
| Price Analysis | Product name and Country Code (Alpha-2) |
list and line chart show all the shops with name and price |
| Trend Forecast | Product name and *Country Code (Alpha-2) |
Show the prediction of the upcoming month and seasonality Line chart and list will be shown |
| RFM model | Upload a CSV file | Show the table after system made RFM Segment tags for each customer Bar chart show the distribution of the RFM tags |
| Competitor Analysis | Upload a CSV file | Show the list of different shops with score in different aspects Positioning Map: Select two aspects and located based on the relationship |
| Customer Segmentation | Upload a CSV file | Cluster to show to distribution of the customers Elbow graph show the value of k List and bar chart to show the performance of different customer groups Bottom Section: All the statistics are shown by different customer groups |
| Review Analysis | Upload a CSV file | Filter the keywords that the customer mentioned Line chart shows the trend of the topics over time Topic Distance Map: show the similarity of different words |
| Google adWord Generator | Type keywords combination | A list of showing all the words combination with Match_type |
| Cart Analysis | Upload a CSV file | A list of showing the relationship of different products (high probability → closer relationship) |
*Optional, Default: the whole world
For your reference:
Country Code: https://www.iban.com/country-codesMatch_type: https://support.google.com/google-ads/answer/7478529?hl=enSegment tags(analysed by the system):
Champions > Loyal Accounts > Potential Loyalist > New Active Account > Low Spenders > At Risk > Need Attention > About to Sleep > Lost
Our product focuses on analysing the data which users need to upload. At this moment, we are required to upload a CSV file. In order to increase the usage and convenience, we propose to integrate with 3rd parties data source , e.g : Google Sheet , Zapier for better user experience.
Users can get seamless integration with their datasource, instead of using manual input by uploading a local CSV file.
Google Sheet , 2. Zapier , 3. Database
AI Marketer is a non-profit open-source project, we build AI Marketer with a lot of help from other open source packages :
Streamlit (https://streamlit.io/)
PyCaret (https://pycaret.org/)
Transformers (https://huggingface.co/docs/transformers/index)
Bertopic (https://maartengr.github.io/BERTopic/index.html)
Prophet (https://facebook.github.io/prophet/)
SpaCy (https://spacy.io/)
Top2Vec (https://github.com/ddangelov/Top2Vec)
Google Trans (https://github.com/ssut/py-googletrans)
Plotly (https://plotly.com/)
Super Chain (Github : Super-Chain)
LAU, Ching Ming, Samuel (Github : samuellau0802)
Motaz Saidani (Github : Motaz-Saidani)
Cat YUNG (Github : catyung)
We welcome your contribution anytime
Please feel free to contact us at : support@ai-marketer.tech
Beta