<|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 2018-11-06 09:09:20, BarclaycardNews from company barclaycard tweeted. The tweet was "NEWS: #Consumer #spending increased 4.4% year-on-year in October, maintaining a modest level of growth, as the retail sector continues to face challenges. Read our latest #spend #report: <hyperlink> <hyperlink>". The most similar tweets were, 
1. On 2019-01-22 23:32:06, MastercardNews handle of company mastercard tweeted. The tweet was ".<mention> is excited to announce a new Priceless partnership with <mention> to bring exclusive experiences and Priceless Surprises to fans <hyperlink> <hyperlink>". This tweet got 1572 number of likes. 
2. On 2018-01-06 18:00:11, CharlesSchwab handle of company charles schwab tweeted. The tweet was "Is sticking to a budget one of your #NewYearsResolutions? The first step is seeing where your money goes. Try our free spending tracker here. <hyperlink> <hyperlink>". This tweet got 1 number of likes. 
3. On 2020-04-14 15:37:56, OriginalFresca handle of company bacardi tweeted. The tweet was "thought <mention> was giving us a break in this CLIMATE, but they're just out here reminding us to pay our bills online lmaoooo <hyperlink>". This tweet got 1 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
