<|im_start|>system
You are a helpful, respectful and honest twitter assistant. Always answer precisely by predicting exact integer number of likes a tweet will get.<|im_end|>
<|im_start|>user
On 2020-03-08 09:00:08, PADI from company padi tweeted. The tweet was "We're celebrating #InternationalWomensDay by giving you 20% off all women's gear ⚡. Shop here: <hyperlink> 

Use code: PADIWOMEN <hyperlink>". The most similar tweets were, 
1. On 2020-07-07 00:00:08, PADI handle of company padi tweeted. The tweet was "Will you be celebrating PADI Women's Dive Day online or in-person this year? Regardless of where you are in the world, here's how you can get involved: <hyperlink> <hyperlink>". This tweet got 67 number of likes. 
2. On 2020-03-08 15:00:07, PADI handle of company padi tweeted. The tweet was "It's official! Where will you be? #padiwomensdiveday <hyperlink>". This tweet got 85 number of likes. 
3. On 2018-03-08 13:01:30, Pfizer_UK handle of company pfizer tweeted. The tweet was "It's #InternationalWomensDay so around the world let's all #PressforProgress to accelerate #genderparity on #IWD2018 <hyperlink> <hyperlink>". This tweet got 4 number of likr likes. 
As someone well-versed in Twitter trends and engagement, the exact positive integer number of likes this tweet will receive are<|im_end|>
<|im_start|>assistant
27<|im_end|>
