#417: How to tip the algorithms in your favour - Tash Corbin, Heart-Centred Business Podcast

Heart-Centred Business Podcast with Tash Corbin

25-08-2024 • 40分

Full article and show notes available at: tashcorbin.com/417

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Social media can feel like an absolute minefield when it comes to reaching new audiences. There's one part of social media that I think people can find particularly frustrating: trying to tip the social media algorithms in their favour.

In this episode of the Heart-Centred Business Podcast, I'm going to tell you how to tip the algorithms in your favour... not by jumping through a bunch of hoops and setting up 95,000 different rules for yourself. But by taking a long-term approach to your social media growth, and making sure that you make the algorithms your friend.

Social media algorithms are very kind to me. But that's because I have been kind to them and I have always taken a long-term approach when it comes to tipping social media algorithms in my favour.

If you want to do the same - you want to get out of the algorithm short-term, tying-yourself-in-knots, what's-the-algorithm-doing-now dramas, and you want to tip those algorithms in your favour, then make sure that you stay tuned to this episode of the podcast.

The first thing I want to say when it comes to social media algorithms is do not tie yourself in knots trying to understand every single little nuance, change and rule that social media marketers tell you you need to follow in order to tip the algorithms in your favour.

Social media marketers and mentors have a vested interest in convincing you that social media algorithms need to be kept up-to-date with on a minute-to-minute basis. That keeps you plugged into their content feed. That keeps you plugged into buying their latest offer, which has new social media algorithm updates and the latest insights from the social media algorithms.

Yes, social media algorithms are constantly being updated. But as a creator on social media, that does not mean that you need to know about every single change to the algorithm.

...Show notes in full are at: tashcorbin.com/417

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