<|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 2018-07-01 14:30:01, CiscoPartners from company cisco tweeted. The tweet was "When <mention> wanted to build brand awareness and drive website traffic, they used Cisco Partner Marketing Central to raise their social voice. Discover how here: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-11-09 18:20:01, CiscoPartners handle of company cisco tweeted. The tweet was "See how Cisco Partner #Marketing Central helped <mention> create brand awareness, close new business and reach more potential customers: <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
2. On 2018-10-18 15:45:01, CiscoPartners handle of company cisco tweeted. The tweet was "Partner Marketing Central helped our #partner <mention> better align their sales and #marketing efforts. Learn how: <hyperlink> <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-03-07 19:13:02, CiscoPartners handle of company cisco tweeted. The tweet was "#TBT: Learn how our #partner <mention> harnessed the power 💪 of social media to meet business goals by using Partner Marketing Central: <hyperlink> <hyperlink>". This tweet got 2 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
2<|im_end|>
