TikTok launches month-to-month traits round-up and content material suggestions sequence

TikTok is offering a roundup of the newest traits gaining traction within the app with a brand new Traits Digest sequence.

The month-to-month updates provide content material concepts and sensible recommendations on integrating these traits into your movies to spice up attain and engagement.

Why we care. TikTok’s Traits Digest sequence presents a simple and cost-effective solution to discover out what’s trending, nevertheless, the recommendation clearly won’t be tailor-made to your model or channel, and so some data is probably not related.

Defining traits. TikTok defined that its new Traits Digest sequence focuses on greedy the principle concepts behind traits to create extra related content material, slightly than attempting to observe each day by day development. A spokesperson defined in an announcement:

• “In terms of defining traits on TikTok, there’s a distinction between what’s trending now and being on-trend: we refer to those as ‘Pattern Moments’ versus ‘Pattern Alerts’.”
• “Quite a few small Pattern Moments make up a bigger Pattern Sign. Specializing in Pattern Moments generally is a problem as maintaining with trending content material requires a excessive degree of reactivity.”
• “However, Pattern Alerts characterize a extra accessible entry level for manufacturers to remain on-trend by constructing a strong basis and understanding of trending content material.”

Key components. TikTok added that traits comprise 4 key components:

• A development message.
• Related hashtags.
• A sonic id.
• A visible narrative.

In Pattern Moments, these components are extra particular, making it trickier for manufacturers to interact swiftly. However, Pattern Alerts has broader components, offering extra flexibility for manufacturers to take part, which is why, the platform says, it’s concentrating its efforts on serving to creators to raised perceive Traits Alerts.

Deep dive. Learn TikTok’s announcement in full for extra data.