I'm currently exploring different ways to judge and predict the performance of various offers and marketing campaigns. I have a list of metrics to pull from which I'm currently using now to predict performance, such as:
- Day the offer was sent
- Month
- Weather
- Time of Day
- +more
And for my performance metric, I use
- Redemption Rate (For every offer sent, how many times was it redeemed) - This is how I judge success
But one of the most important metrics is the offer itself, which I know in the form of a text-string.
Here are a few user-generated examples.
- Get $4.00 off a large pizza
- Receive 20% off your next order
- Buy any Chocolate Milkshake, get another one half price
- Two wraps for $7.50
- Free cookie with any purchase
..and hundred's more
Now, I know there's very important information in those text stings, but I don't know the best way to analyze it and extract key information. For example, in this text it shows the product its advertising, the discount, the dollar amount, the percentage off, etc. I need a generalized way to go through each string (I'm assuming through some tolkenized method), and extract relevant information.
I'm hoping to get some input on how I could analyze these strings, eventually with the purpose of generating a string-based dataset (along with the other aforementioned data points) that I can use for predictions.
I am writing my code using python 3.0.
Any advice is greatly appreciated. Thanks.