It's also very easy to mislead your audience by using an inappropriate chart or graph
Posted: Tue Jan 28, 2025 4:45 am
Your report should then narrow down to what is being reported on, looking specifically at the business. Perhaps this will include some of the more business-focused KPIs we discussed earlier. It might be the wider marketing team’s goals and metrics. Next up should be the KPIs that your work has directly impacted. For instance, SEO traffic data, conversions,
or content engagement. From there it would be worth narrowing down further to look at the results of activity that has been carried out during the reporting time period.
For instance, detail the results of that link-building campaign, or demonstrate indonesia gambling data how the changes to
the webpage copy impacted bounce rate and dwell time. Picture your report as a funnel starting off with broad context data and ending with specific marketing activity related data. 6. Using the best visualizations for the data Choosing the best way to display your data can make or break a report. You can take data from a confusing mess to being easily understood by simply changing the scale on an axis.
Consider what you're trying to demonstrate. Is it the changes in data over time?
Then perhaps a line or bar graph is the best bet. Need to show the relationship between the parts of a whole? Then a pie chart might be a good choice.
Whatever you do, make sure you avoid these common ways of skewing the data visually: Manipulating the axis scale: Not starting at zero is a common way of making data look more significant than it is.
A scale going from 1,000 to 3,000 makes the comparison of two data sets that differ by 500 look huge. Similarly, the axis not being labelled in the right increments can be very misleading. Too big a gap between increments and differences between plots on the graph look small. Too small a gap and the differences look very significant. Bar graph showing organic traffic leads by month. Parts not adding up to a whole: The key to a pie chart, or any graph that is meant to represent parts of a whole, is that it needs to add up to 100%.
or content engagement. From there it would be worth narrowing down further to look at the results of activity that has been carried out during the reporting time period.
For instance, detail the results of that link-building campaign, or demonstrate indonesia gambling data how the changes to
the webpage copy impacted bounce rate and dwell time. Picture your report as a funnel starting off with broad context data and ending with specific marketing activity related data. 6. Using the best visualizations for the data Choosing the best way to display your data can make or break a report. You can take data from a confusing mess to being easily understood by simply changing the scale on an axis.
Consider what you're trying to demonstrate. Is it the changes in data over time?
Then perhaps a line or bar graph is the best bet. Need to show the relationship between the parts of a whole? Then a pie chart might be a good choice.
Whatever you do, make sure you avoid these common ways of skewing the data visually: Manipulating the axis scale: Not starting at zero is a common way of making data look more significant than it is.
A scale going from 1,000 to 3,000 makes the comparison of two data sets that differ by 500 look huge. Similarly, the axis not being labelled in the right increments can be very misleading. Too big a gap between increments and differences between plots on the graph look small. Too small a gap and the differences look very significant. Bar graph showing organic traffic leads by month. Parts not adding up to a whole: The key to a pie chart, or any graph that is meant to represent parts of a whole, is that it needs to add up to 100%.