<|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 2019-03-22 18:00:13, CiscoCX from company cisco tweeted. The tweet was "Better contact center without breaking the bank 💵. Strengthen your customer interactions: <hyperlink> #collaboration <hyperlink>". The most similar tweets were, 
1. On 2019-06-28 17:43:15, CiscoCollab handle of company cisco tweeted. The tweet was "Improve customer loyalty, lifecycle value, and provide better service through the power of cognitive insights. Work smarter with #Webex Contact Center. Learn more: <hyperlink> #collaboration #ContactCenter <hyperlink>". This tweet got 4 number of likes. 
2. On 2019-02-12 18:55:01, CiscoCX handle of company cisco tweeted. The tweet was "Top 3 #Cisco Customer Experience Things-to-Do at #MWC19 Barcelona &gt;&gt; <hyperlink> #CX #CiscoMWC <hyperlink>". This tweet got 0 number of likes. 
3. On 2019-01-31 12:31:02, CiscoCX handle of company cisco tweeted. The tweet was "Create meaningful experiences with our collaboration services… We'll show you how. #CLEUR #CiscoShowcase <hyperlink>". This tweet got 0 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
3<|im_end|>
