Both traditional and digital marketing rely heavily on human psychology . As a marketer, you can follow a few basic practices that have proven successful in similar businesses in the past, but you can never be too sure of their success until you actually try it. This is especially true in the case of traditional marketing, where the lack of metrics is quite evident.
However, with the development of analytics, numbers have started to play a significant role in the success of digital marketing approaches . For example, now that marketers know that email marketing will return an average of 36 CZK for every 1 CZK invested, they can spend much more on it.
Statistics offer the much-needed support that marketing strategies need to accurately target their target audience and their pain points. In this article, we will look at the use of statistics in various digital marketing strategies.
1. Using statistics in content marketing
Content marketing involves creating and distributing content in the form of videos, blogs, and social media posts that are intended to generate interest in a product or service. Although the goal is to generate sales, content marketing does not explicitly promote products.
When you publish your first set of content, you shouldn’t expect huge engagement and conversions. As you continue to upload content, you’ll begin to understand who your ideal audience is and what you can do to improve your approach using content marketing insights. As a business owner looking to grow your business online, carefully tracking your marketing insights using statistical data analysis methods can help you identify trends early so you can capitalize on them.
Google Analytics is a handy tool south korea mobile database for tracking content. It offers a wide range of metrics, such as:
- Attendance
- Bounce rate
- Average session length
- Demographic data
If your content is indexed, the numbers will start to show up on these pages. If they are not sufficient, you need to adjust your approach to meet the needs of your target audience.
For example, suppose that session length is lower than expected through no fault of the site. In that case, it tells the content marketer that users are not receiving the content as valuable and are leaving sooner than intended. This forces the marketer to work on it and try something that might work better – like a long blog post .
Another use of statistics in content marketing is keyword research . Content is expensive, and if you don’t put enough effort into sherwin loney it governance system administrator researching keywords that your content can rank for, resources and money are wasted. Keyword research takes into account search volume, year-over-year change, and other attributes. Depending on your industry and ranking, you can choose either short or long-tail keywords.
2. Using statistics in paid advertisements
It is quite challenging to acquire customers without paid advertising . While content marketing strategies are great for long-term returns, they don’t work as well for getting quick returns as paid advertising. The main sources of paid advertising are social media platforms, search engines, and mobile apps.
Analytics and paid advertising are cpa email list closely related. While it may seem like spending more on advertising will yield increasing returns , this is often not the case. Even if your ads are optimized, in-depth data analysis is required to achieve a satisfactory return on investment.
Regardless of the platform, you need extensive knowledge to help you optimize your ads. But let’s keep the discussion limited to Statistics in digital marketing Google Ads, as they are as effective and comprehensive as you could need.
Different marketers take different approaches when getting started with Google Ads for any business. However, they all rely on ad insights. A common strategy is to start with the PPC model. In this model, the marketer takes the keywords they need and creates ads that run on a pay-per-click billing system. This often leads to high engagement and provides the marketer with insights into ideal customers and demographics.