The insights gleaned from your audience personas should be used to tailor your social media marketing strategy and help you to develop clear strategies to ensure you engage with all target audiences on social media. Audience personas should inform content creation, marketing campaigns, ad targeting, and more to ensure conversions against your goals.
And although the study didn’t go into a great amount of detail on which types of photos did best, an underlying theme was that images of people and faces tended to garner more +1’s (admiration) while images of pets, food, and even memes enjoyed more shares. Finally, images that featured positivity in some aspect – including quotes, inspiration or good things happening in the world also tended to be popular among the Google+ using crowd.
First and foremost, you should always encourage conversations and keep communication lines open. Make engaging with your brand as easy and compelling as possible. To do this, contribute to your community consistently. Valuable communities can require huge amounts of time and effort to develop, so before you get started be willing to commit to the work.
We all know that companies harness the power of social media the way gossip magazines rely on word of mouth for the latest on the celebrity front. If used correctly, organizations can reap all the benefits of social media management software. For businesses, joining online conversations does not only inform existing and prospective customers of their brand, it also allows users to glean information about the competition. It essentially makes an industry a smaller place for all players.
Explore your Twitter network. Discover which people interact the most and what they’re talking about. It’s also a great way to find relevant people to follow. The visualization runs right in your browser and displays data from Twitter. Mentionmap loads user’s tweets and finds the people and hashtags they talked about the most. In this data visualization, mentions become connections and discussions between multiple users emerge as clusters.