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Is it possible to crunch complex data without knowing the all-too-complex strategies of data analysis?
With the help of this blog, you'll be able to confidently analyse data and derive significant information in your marketing reports.
Data analysis is the process of extracting useful information from large data sets so that you may use it in your decision-making.
These business decisions, as you are aware, might be large or minor. It's about providing more material on a recently popular topic and garnering more conversions for marketers.
It's about shifting a product's stance and boosting sales in an unique market market for C-suite stakeholders.
This report template displays the Google Analytics performance of a website.
How to Analyze Data
Is the data you need to acquire specific enough to your goals?
Let's imagine you've recently signed up two new clients who want to boost their blog's sales. You assumed you'd be gathering the same data as them, but after chatting with them on a finding call, you found that wasn't the case.
(Example) Client A is a well-established business with a solid domain authority website (DA). It has a good ranking in the SERPs. It receives a consistent stream of conversions, but consumers frequently leave owing to bad customer service.
Client B is a new business with a poor DA website. It has been producing numerous articles, but just a few are searchable. As a result, very few leads are created.
However both customers have the same objectives (i.e., improve sales), the core causes of their difficulties are vastly different.
A KPI measures how well you're accomplishing your objectives. Let's continue with the same examples as before.
Clients A and B will have KPIs that are both comparable and dissimilar.
Each will want to keep track of organic search traffic and key rankings, for example.
Client A, on the other hand, is likely to need to measure and prioritise customer satisfaction scores, but client B is unlikely to.
In the agency business, there are often two techniques to data acquisition.
The first method entails manually collecting data from various sources and assembling it in Microsoft Excel or Google Sheets.
The second is the use of automation!
During your search, you may have encountered these nerve-wracking sorts of data analysis. Don't be concerned! You don't have to grasp all of these data analysis methodologies at once as a marketer.
Here's a quick rundown of what they're all about.
It is the process of identifying and removing data that is irrelevant or erroneous from a data set.
Forecast future outcomes to identify dangers and opportunities using predictive analysis. Historical data, machine learning, and data mining techniques are used in predictive analysis.
Gather data samples to look for patterns and trends. Regression, mean, and standard deviation are examples of statistical analysis techniques.
Organize and summarise data points from previous quantitative data (a.k.a. "what"). Data analysis tools like Excel's descriptive statistics tool can help you disentangle these unstructured data.
Examine descriptive analysis data to determine "why."
Using raw data analysis, determine the optimum course of action (also known as the "how"). This necessitates the use of business intelligence software such as Tableau.
It is the process of extracting text information (i.e., qualitative data). Extraction of important phrases and sentiment analysis of poll replies and customer questionnaires are two examples.
You're getting close to the finish line. As you may be aware, there are a range of methods to share your knowledge. You may use a video chat to walk your customers through their business data, add comments to a linked spreadsheet, or email the important results to them.
To recap, you don't have to be a data analyst to analyse your data with MyDash. With MyDash, grabbing data from numerous channels at once and distilling actionable insights in the form of Dashboards takes only seconds.
Whether you're looking to increase your followers count or just get a better understanding of what engages your followers the most, these stats can help. Calculating Instagram engagement rate and working on boosting Instagram post reach can be quite tricky by yourself. Luckily, not anymore since you came across our blog post!
Want to know your significant metrics of your business? In this blog we will be exploring what KPI is, its various definitions and examples. We will also compare and contrast metrics and KPI's to give you a better understanding of the two concepts. Finally, we will highlight some of the best ways to measure and track your KPI performance. Stick around!
