https://github.com/asyraffff/ab-testing-marketing-campaign
https://github.com/asyraffff/ab-testing-marketing-campaign
Last synced: 3 months ago
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- Host: GitHub
- URL: https://github.com/asyraffff/ab-testing-marketing-campaign
- Owner: asyraffff
- Created: 2023-01-15T07:58:55.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-01-15T08:02:05.000Z (over 2 years ago)
- Last Synced: 2025-01-23T02:36:58.476Z (4 months ago)
- Language: Jupyter Notebook
- Size: 17.6 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# A/B Testing for website marketing strategy
**A/B Testing** means analyzing two marketing strategies to choose the best marketing strategy that can convert more traffic into sales (or more traffic into your desired goal) effectively and efficiently.
### Conclusions from the analysis
- From the A/B tests, I found that the control campaign resulted in **more sales and engagement from the visitors**.
- More products were viewed from the control campaign, resulting in more products in the cart and more sales.
- But the conversation rate of products in the cart is higher in the test campaign.
- The test campaign resulted in more sales according to the products viewed and added to the cart.
- And the control campaign results in more sales overall.
- So, the Test campaign can be used to market a specific product to a specific audience, and the Control campaign can be used to market multiple products to a wider audience.