# 19. Count signups within a time range

“Well, the hype is going down”, said Gessica, “I see fewer articles and tweets about Bindle, we should think about starting a marketing department. Let’s see how many users signed up for Bindle within the first week after the website’s launch.”

Finally, we can calculate how many signups Bindle had within the first week after launch. A couple of reminders:

• Bindle’s website was launched on January 1, 2018
• The format for date strings is YYYY-MM-DD (year-month-date), 2nd of March would be 2018-03-02
Type SQL queries in the SQL Editor to find the answer to this exercise. Do your research in the SQL Editor and then submit numeric or text answer via this form.

### Hint

We’ve just learned how to combine filters. We can get the correct answer by writing a query that translates to “Count all user records which has signup date greater than 1 Jan 2018 and less than 7 Jan 2018”.

Remember inclusive and non-inclusive comparison operators: `signup_date < '2018-01-07'` won’t count signups for the 7th of January (less than < operator is non-inclusive).

### Solution

``````SELECT
COUNT(*)
FROM users
WHERE
signup_date >= '2018-01-01'
AND signup_date <= '2018-01-07'
``````