<|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 2019-04-11 11:31:02, CiscoUKI from company cisco tweeted. The tweet was "Struggling to keep up with the latest #cybersecurity trends? Our 2️⃣0️⃣1️⃣9️⃣ CISO Benchmark Report will get you up to speed 🏎️💨  <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2018-12-20 13:46:07, CiscoUKI handle of company cisco tweeted. The tweet was "#TBT to the launch of our #cybersecurity report: read for stats and trends that'll make you go 😱 <hyperlink> <hyperlink>". This tweet got 2 number of likes. 
2. On 2018-05-11 12:32:00, CiscoUKI handle of company cisco tweeted. The tweet was "Get to grips with the trends shaping security - check out our 2018 Cisco Annual Cybersecurity Report: <hyperlink> <hyperlink>". This tweet got 3 number of likes. 
3. On 2018-05-08 14:22:00, CiscoUKI handle of company cisco tweeted. The tweet was "Getting your #cybersecurity strategy right can be tough - luckily we've got a shiny 🆕 e-book to help out! <hyperlink> <hyperlink>". This tweet got 1 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
1<|im_end|>
