Rule Experimentation is essential You can write a great article with a catchy title and a wealth of information that’s relevant to your typical customers… but are your customers likely to type a query into Google that will lead them to that article?
Besides, when you type this same query into a search engine and analyze the first results, are you sufficiently confident about the chances of taking first place?
If you are interested in SEO, check out the first chapter of the following article to learn more about prioritizing content to create through data:
What data should you use to prioritize your content marketing campaigns?
In short: building your content distribution and industry email list promotion system will require resources. Resources that you’ll likely need to negotiate internally.
Your content distribution and promotion system has been in place for several months now, and you have to admit: you’re quite proud of the result.
Content production has been revised to better align with SEO
Everything’s going well. The results are in. Or rather, they were there… until last month. For the past few weeks, you’ve noticed that your performance everyone is doing their own thing indicators are plummeting and that your content is being viewed less and less by your audience.
Time is a murderer Rule Experimentation is essential
What’s happened is that your competitors have caught up and taken inspiration from your tactics. Your audiences’ browsing habits have evolved. Your levers have become less effective. In short, you’re going to have to evolve your strategy.
The ideal (although companies’ resources rarely allow it) is to continually experiment with other levers and tactics. For example, by testing a new approach each month and then adding those that have worked well to your arsenal.
How to source new tactics?
First, by looking at your competitors.
How do they capture their gambler data audience’s attention? Does it work? Take your three main competitors: how would you summarize their distribution strategy? What lessons can you learn from them? How can you do better.
