BJ ကြိုက်တဲ့စော်လေး
The obstacles most experienced by marketers and business decision-makers are usually related to digital marketing data analysis, starting from the process of collecting data, conducting analysis, and using marketing data accurately. The next principle, you also know the type of analysis data needed according to your business. If you are able to master digital marketing data analysis techniques, you will get accurate insights into the business you are running.
Through these insights, you can find out where the capital is used, what customers respond to, how to turn your marketing and promotions into sales, and so on. By having the right digital marketing data analysis strategy, you will have a competitive advantage in doing business.
One thing you need to know, digital marketing is always changing quickly so you also have to frequently update your knowledge of marketing data analysis strategies to keep it up to date.
Here are 6 data analysis strategies in digital marketing that can drive your business growth.
1. Define the Problem
Take, for example, you are a marketing manager who wants to examine why a company’s website is performing poorly. You have to analyze digital marketing data in order to generate better prospects from the web. The first thing to do is to know what problem you want to solve.
By knowing what the problem is, you can determine what data to track, to further analyze digital marketing data. If you track and analyze incorrect data, the results will also lead to wrong assumptions. If you make a decision with insufficient data, you can be sure, that your business will run in place.
2. Set Data-Based Business Goals
Once you have set goals and know the problem you want to solve, you can immediately move to the next step. By having measurable goals, you can ensure that the steps you take are the right ones.
Digital marketing data analysis must always be based on this goal so that all the data listed has meaning. Therefore, first set the goals or business goals that you want to achieve based on the data from the previous digital marketing analysis that has been done.
3. Collect Accurate Data
In order to get the right conclusion, make sure you have reliable tools for digital marketing data analysis. In addition, the resulting data must also be easy to interpret. For additional information, you can also read about 5 processes of data analysis for business decision-making.
Next, you need to find a way to know user behavior so that the resulting data is accurate. For example, the exact URL, code, or plugin, which can show how your audience arrived on your page, what they clicked on, whether they saw the ad or not, and so on.
Tracking devices that can be used, for example, the Facebook Pixel and the Google Analytics JavaScript. Remember, make sure you have the feature set up properly so the device knows what to track.
4. Do change
To achieve the above goals, you must decide what to change and how to change it. This one stage does require a hypothesis based on the digital marketing data analysis that has previously been done.
Try using A/B testing or A/B testing. In addition, also conduct user testing, then study the results, then measure the changes. It is recommended to use pre-made changes so that you can get a reference point as well as gain valuable experience.
5. Experiments and Experiences
You need to maximize the performance of your website’s landing page. Also, pay attention to 7 things that must be on a business landing page to maximize conversions. In this way, you can get satisfactory results. However, don’t be too satisfied with the existing results, because digital marketing strategies and data analysis are not permanent.
The world of digital marketing continues to change from time to time as technology changes. Success strategies are also dynamic. So, make sure you always take a creative approach so you can continue to improve your business performance and find ways to monitor it.
Sometimes, you have to be willing to experiment with new trends every year, so that the analysis of digital marketing data that is carried out also changes.
6. Values and Pivots
When experimenting with new trends, it’s very important that you look at the data closely and listen to the marketing team.
There are a lot of new marketing trends out there without going through enough trial and error. You may not be experienced with this trend, but this is a great opportunity to be the best among competitors who are not familiar with the new strategy. The risks faced are indeed greater, but the results are certainly higher.
