How to Effectively Present Analytics Data

You need to make it simple and attractive when you present your data

Well devised charts and graphs will help you communicate web analytics data much more easily than spreadsheets. A concise one-page report presenting the essentials like the conversion rate over time for a specific goal or revenue by traffic source will be more powerful than a twenty-page report covering everything in your clients' analytics account. A report displayed on a large LCD screen in the office will attract more attention than a PDF copy of a report viewed on a notebook. You get the idea.

Associate Data with Sales, Volume and Market Share

Display data that includes the critical things that tug at the heart strings of your executives to get your message across and get them to take action. You need to create a dashboard that displays all the information your  CEO needs-and what they will be interested in depends on a lot of factors. Is it a small, medium or large company?  Are they proprietors of an ecommerce site or are they trying to get leads?  Does the quality of the lead matter?

Now you need to look at your goals and present your answers to those goals with your analytics data.  Maybe you have been working with a client for a month and your goal is to get ahead of the competition for lemon popsicle sales in the first half of the year.  It is time to make a graph of lemon popsicle sales in the past year. 

Make clear the reasons for the peaks and pits on your graph and offer solutions for how to make the peaks higher and longer in the next year and how to try to eliminate some of the pits. Use your skills to attain information on the successes and failures of your popsicle competition. Examine their data and learn what might work for your CEO, and what experiments you should avoid.

The First Step to Success is to Ask

Before you even start your project you should have a discussion with the people that matter about what the goals of the website are. Those goals should guide your analysis in the first place. If you are confused about the priorities of the CEO of your company, just ask. It will build an open relationship between you so that they trust you have their own personal best interest in your sites when you make site recommendations based on your hard work with the data.

Use Your Creativity

We are data analysts but we are also artists. We need to present content in a way that is both engaging and informative. Doing this is not always easy. If the website you're managing doesn't directly sell products or services – it might be a content site – then relating data to sales or to market share is a big challenge. After you find the appropriate data for the appropriate person in your company, you will need to present it in a compelling way.

While charts and graphs are the most obvious way to present data to your management team, language can be equally persuasive. Scientists, researchers, politicians, and the media are quite good at coming up with persuasive language and analogies. As an online marketer, you are yourself a scientist or researcher of the Web and of websites, and so you can leverage appropriate copy to give merit to the conclusions you have drawn from your analytics data.

Use the Power of Web Analytics and Mobile Apps

Executives toy all day with their Smartphones. Why not try to bring the essential web Analytics data you want to convey to their Smartphones? Chances are you already use a web analytics system to share data within the company you are working for. You should check whether it's possible for you to deliver your reports straight to your executives' Smartphones. Real time updates will let your executives know you are keeping them involved, and that you yourself are paying close attention to what is going on on their site.

When you design these presentations, think carefully about the level of granularity your audience can absorb in a single sitting. Executives rarely need to see every micro-conversion or every filter combination you used in your analysis. Instead, roll up the data into a few meaningful segments—such as branded vs. non-branded traffic, new vs. returning visitors, or high-value vs. low-value leads—and show how each segment contributes to the overall business outcome. This keeps the narrative focused while still demonstrating that your conclusions are grounded in rigorous analysis.

It is also important to establish a consistent visual language for your analytics reports. Use the same color palette for recurring metrics, the same chart types for similar comparisons, and the same layout for monthly or quarterly updates. Over time, executives will learn to recognize patterns at a glance: a certain shade might always represent organic search, a particular chart position might always show revenue by channel. This familiarity reduces cognitive load and lets them focus on the story you are telling rather than on deciphering the visuals.

Connect Analytics to Past Decisions

Another powerful technique is to connect your analytics data to specific decisions that were made in the past. For example, annotate a timeline chart with the dates of major campaigns, site redesigns, or pricing changes, and show how key metrics responded. When executives can see that a particular initiative led to a sustained increase in conversions or a drop in churn, they begin to view analytics not as abstract numbers but as a feedback loop for strategy. This reinforces the idea that data-driven decisions are not just theoretical—they have visible, measurable impact.

Don’t overlook the value of scenario-based projections in your presentations. Once you have established the current performance, use simple models to show what would happen if certain levers were adjusted: a modest increase in conversion rate, a reduction in acquisition cost, or a shift in budget from one channel to another. Present these scenarios with clear assumptions and conservative estimates, so executives can see both the upside and the risk. Well-framed projections help them understand that small improvements in key metrics can compound into substantial gains in revenue or market share.

Finally, close your presentations with a concise set of recommended actions tied directly to the data you have shown. Each recommendation should reference the metric it aims to improve and the expected business outcome, such as “optimize landing page X to reduce bounce rate among high-value visitors” or “expand campaign Y, which has the highest revenue per click.” When executives walk away with a short, prioritized list of next steps, they are far more likely to act on your insights. Over time, this cycle of presenting, deciding, and measuring will build trust in your analytics practice and elevate your role from report creator to strategic partner.