We’ve all been there. We’re five minutes into (what we thought would be) a riveting, data-driven presentation, yet a quick scan of the room reveals the audience is staring blankly at our data tables as we drone on. Or worse, someone asks a pointed question about what they do or don’t see and the discussion goes completely of course. Yikes.
Perhaps the best advice I ever received in this regard was so simple yet incredibly smart: “Try it as a line graph.”
I had presented a data-backed presentation and robust recommended next steps, but whether it was boredom or data suspicion that crept in, I failed to make my case. After the weeks I spent looking at a spreadsheet, I took that visionary advice. When the day came to remake my case, that line graph immediately won my critics over.
When done thoughtfully, data visualizations have the power to change perspectives, far more quickly than a spreadsheet or bullet points on a slide. Data visualization allows us to take complex or even simple data sets, and present them in a way that allows us to see context, make comparisons, and enable decision-making.
The good news? Giving your data a visual identity is easier than you think.
This is going to sound cliché, but we marketers really do have more data at our fingertips than ever before. And visualization is key in order for us to really leverage that data to tell a story and win over our bosses, colleagues, and customers.
Here’s a simple example. First, the spreadsheet version:
What can you take away from this example in just 5 seconds? 10 seconds? 30 seconds? July 2018 and December 2017 seemed to be big months. There was definitely some growth in the last two years. But how much? Is it consistent? How are we trending?
Now, let’s look at this data as a line graph:
Whoa! 2018 outperformed 2017 by quite a bit overall. However, 2017 traffic was on the up and up, and that momentum slowed in 2018. With the exception of a mid-year spike, 2018 traffic was flat, and dipped below year-over-year totals by the end of the year.
The beauty here? As we prepare to deliver the data to our audience, we can draw some pretty important conclusions at a glance, helping us quickly arrive at what we need to find out next: What caused that big spike in July 2018? Is it an outlier or did we have an effective campaign running? What did the tactical mix look like throughout 2017? What were the top pages contributing to steady growth? Did we make major changes at the beginning of 2018?
This not only helps us dig deeper into our data to understand trends and opportunities, but also prepare us to craft a narrative and answer the questions our bosses, colleagues, or clients will undoubtedly have about performance. After all, flashing a spreadsheet and then telling someone traffic is up year-over-year overall but flat month-over-month for the current year is not going to deliver much wow.
Creating a narrative, choosing your data set, perfecting your visualization, and adding context are essential for being able to persuade any sort of action or reaction with data. But whether you are using a simple Excel graph or a custom data visualization tool, here are some great tips to get started.
Let’s say you’re presenting the results of your most recent marketing campaign to your internal stakeholders. It can be tempting to throw up any data point you can get your hands on, trying to see what sticks.
Don’t do that. Your boss probably doesn’t care about how many shares you got on that one blog post or how many seconds someone spent on a video. They care about new prospects, re-engaged prospects, or advocacy.
One mistake it can be easy to make as marketers, is slipping into marketing lingo (e.g. sessions, shares, click-through-rate, bounce-rate). One simple shift if you’re presenting outside of your team, is shift your language to focus on meaningful business metrics. For example: Instead of saying visitor, say potential prospect.
Data visualization is so awesome because it’s able to allow humans to quickly make comparisons and decisions quickly, even with a complex data set.
So create charts with comprehension in mind. If your audience is staring at a graph trying to figure out what it means, they’re probably not listening to your supporting narrative. So make it easy for them to understand. Here are a few things to keep in mind:
Label Everything: This seems straight forward, but nothing is worse than when someone pauses you mid sentence to ask you to clarify your data set. So, label your chart, axes, legend, and so on. Also include a note on time frame and data source. Make sure all labels are visible and not obstructed by other text.
Chart Type: Choose the chart type that most efficiently illustrates your point:
For example, while the pie chart allows us to see a breakdown of traffic sources, the placement of legend, the close color families, and a similar proportion of the individual pieces make it difficult for a true comparison. With the bar chart, however, you can easily see how the traffic sources stack up next to one another.
Color: Incorporating color to help tell your story can be very powerful, but can also lend confusion. A few practical things to consider:
A couple final thoughts here:
We should always anticipate, any presentation we create, can and will be passed along for others to consume, without the benefit of our verbal narrative. So, it’s important that your data visualizations have enough context so the impact can be understood with or without verbal support.
What do we mean by context? Here are a few things to keep in mind:
Finally, looking at the same data as in our previous visualizations. This example dives into July 2018, with the added context of 2017. In this graph, we can easily see a spike in social caused our July 2018 increase. Now, we can add a call out to shout out to testing a paid social campaign or a contest that was running at that time.
Data can be really powerful, if used wisely. But if we don’t understand or interpret it properly, it can also drive bad decision making.
So as a presenter, definitely do these things to keep your data representation free of misleading information:
To be really effective marketers, we must review and analyze data in order to make our own decisions about a tweak in tactics or a strategy overhaul. Our ability to illustrate to our colleagues, bosses, and customers how data insights inform our decisions ultimately impacts our ability to move forward with our plans.
So practice! Find that colleague who can review your latest graph and see what their first takeaway is. Do your presentation with a smaller group before you bring to your boss. See what they respond well to or question, and edit accordingly.
Data is power. Data visualization is powerful.
Many marketers aren’t using the data they have to its full potential. Set yourself on a path to better data and analytics utilization with these tips for overcoming common barriers.
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