6 TIPS FOR GETTING YOUR TIMING RIGHT
HOW TO MAKE SURE YOUR POSTS FIT YOUR AUDIENCE’S SCHEDULE
01 FIND YOUR AUDIENCE
Basic demographic research using Google Analytics should quickly show you where in the world your audience is based. Locate your audience and target them accordingly, using a handy tool like social media management platform Buffer to schedule your updates. This enables you to sidestep the issue of different time zones and concentrate on design.
02 POST ON FACEBOOK IN THE EARLY AFTERNOON
According to CoSchedule, the best time to post on Facebook is from 1–4pm, with 1pm attracting the most shares and 3pm the most clicks. Wednesday at 3pm is also a key time, as is 12–1pm at the weekend. Facebook engagement during the working week, meanwhile, is apparently highest on Thursday and Friday – but some claim that posts at 1pm on Saturday and Sunday get up to 32 per cent more engagement.
03 TWITTER WORKS BEST ON WEEKDAYS
For Twitter, the optimal times to tweet are between 12–3pm Monday–Friday and at 5pm. (The latter is the peak time to catch commuters, who are more likely to retweet.) According to Quick Sprout, if you’re B2B you’ll benefit from tweeting during the working week, where you’ll get more engagement. However, if you’re B2C, you’ll need to tweet at the weekend too.
04 USE PINTEREST ON SATURDAY EVENINGS
Quick Sprout found that the best day to post on Pinterest is Saturday 8–11 pm (with 9pm being peak time) and Friday at 3pm. That said, further data on the CoSchedule blog also shows a spike between 2–4am and 2–4pm.
05 LINKEDIN PEAKS OUTSIDE 9-5
LinkedIn is the professional social network, so it stands to reason that the best time to post is during the working week, with 7–8am and 5–6pm attracting more click-throughs. CoSchedule data also shows that Tuesday and Thursday are the optimum days for LinkedIn.
06 PAY ATTENTION TO YOUR AUDIENCE
Ultimately, the best time to post is when your audience is paying attention. For example, within Twitter Analytics, you can export a spreadsheet of all activity for each tweet during a time period. You can plot this data to see if any time ranges jump out as being more or less productive; or you can do a simple calculation to determine your impressions/tweet based on day of the week.