<|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 2018-02-02 22:59:52, googleanalytics from company google tweeted. The tweet was "30 Must-Try Google Data Studio Templates for Every Marketer <hyperlink> /by <mention> #measure <hyperlink>". The most similar tweets were, 
1. On 2018-04-23 20:24:01, msdev handle of company microsoft tweeted. The tweet was "Not doing your #DataAnalytics on <mention> yet? Have you checked out all the options for data ingestion, storage and presentation that it can give you? <mention> has some knowledge to drop: 
<hyperlink> <hyperlink>". This tweet got 53 number of likes. 
2. On 2020-10-05 13:41:01, CiscoPartners handle of company cisco tweeted. The tweet was "Data, without decisions, is distraction. Check out this blog on advanced #analytics to learn how to leverage your data to get insights and drive marketing impact. <hyperlink> #MarketingMonday <hyperlink>". This tweet got 1 number of likes. 
3. On 2018-06-27 16:05:06, Azure handle of company microsoft tweeted. The tweet was "Build scalable, highly-performant #cloudanalytics solutions without compromising security and cost with #Azure #DataLake Storage: <hyperlink> <hyperlink>". This tweet got 77 number of 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
