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How much do you actually know about the effects of your social media marketing efforts? Do you understand trending? Do you know how your content affects your target audience? Moreover, can you really tell what your target audience needs? And how about your competitors – are you aware how your content is perceived compared to the content provided by other companies? This is where social media analytics tools come in to give you detailed insights into all of these questions.
If you’re looking for ways to boost your social media stats, the best way to do it is to keep experimenting and trying new things. I’ve collected 30 small and simple experiments and growth hacks you can try this month to see what works for you. They’re all low-cost and easy to implement, but even the smallest tweaks can lead to great improvements.
For a long time, we have been living in a world where we use default approaches without fully thinking about their purpose. Take WordPress as an example: it's a powerful application, but it requires MySQL as its database, and to make it fast, you often need Memcache to cache MySQL queries and reduce database load. Alongside, there's the WYSIWYG editor, which, in theory, allows users to edit HTML easily, but in practice often generates unreadable, bloated code.
Google Analytics (GA) is an exceptional analytical engine, but it lacks an inherent understanding of your business’s critical metrics. Whether your key online goals revolve around subscription purchases or phone calls, GA needs customization to reflect what’s most important to you. This guide will focus on how to categorize streams of data—such as visits, events, clicks, views, and scrolls—into meaningful groups to facilitate deeper and more effective analysis.
