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Marketing Analytics

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Data is everywhere. Whether it’s web traffic, buyer behavior, or social media engagement, there are numbers for everything. In the Data Never Sleeps report, DOMO estimates that 1.7MB of data will be generated for every person per second in 2020. Many popular analytics platforms help to process and understand the massive amounts of data being generated; however, not all analytics are the same. While most analytics report and assess what has already occurred, predictive analytics…

All brands want to tell relevant, engaging stories — through digital display ads, emails, social media ads, and more — that create seamless customer experiences and quickly grow revenue. However, the complicated nature of advertising and marketing online can get in the way of that, especially considering it takes 56 touchpoints for someone to convert. The reason for this is disconnected data. If you’re using multiple marketing platforms to advertise online, ensuring that all this data…

Gone are the days of a simple Google search being the only way a prospect can come across your brand. While browsing your website, your prospects are actively checking their online profiles, refreshing their emails, and checking out similar products on other websites. It’s time to take a holistic, cross-channel view of the customer journey as opposed to traditional last-touch attribution models.  So, let’s say you’re well on your way to determining which channels and…

If the marketing definition of “attribution” confuses you, you’re not alone. While you may have a basic understanding of what attribution is — assigning credit to a marketing touchpoint for a conversion — the influx of marketing channels and devices has complicated the meaning. So, what does attribution really mean? To fully understand it, let’s delve into why it matters to your business and explore how attribution has evolved from single-touch attribution. For more from…

Companies know that brand marketing is essential — that’s why they usually allot a significant portion of their budgets to branding activities. Despite this, there’s still skepticism around placing dollars into measuring brand marketing efforts. Why? Because many people don’t think it’s possible to measure how brand marketing drives business value accurately. However, as brand marketing spend continues to rise, marketers realize that relying on “soft” metrics such as impressions and sentiment simply isn’t enough.…

Whether marketers are familiar with marketing attribution or not, they’re always thinking about it. Why? Because many businesses are focused on paid media, and the purpose of paid media is to drive business growth. But, how do you drive growth if you don’t know where to allocate your marketing dollars? In an increasingly fragmented marketing landscape, this question is more important now than ever. The answer is with multi-touch- attribution.  Let’s go over why measuring…

As a marketer, you’re probably no stranger to dipping your toes in a variety of tactics — Google display and search ads, social media marketing, affiliate marketing, the list goes on and on. The biggest challenge is knowing which avenue generates the most revenue, and which ones to get rid of. That’s where attribution comes into play. However, when you’re getting started with attribution implementation, many questions will arise. Let’s go over which analytics attribution…

It used to be so simple. Consumers became aware of brands through traditional means: driving past a billboard, hearing a radio spot, or seeing a commercial. But with the democratization of the digital space, the process of reaching consumers has drastically changed. Consumers now live in a world where they’re inundated with digital ads everywhere they work, live, and play online, adding complexity to a once linear customer journey. This complexity makes it a challenge…

Everyone has access to data. Most can read it; some can even make assumptions from it. But very few can build on their data in a timely, relevant, and profitable manner. The people in these cases may have too much data or be looking at the wrong metrics. Perhaps they put too much stock in the wrong data sets or simply don’t quite understand their customer journey. In these cases, there’s probably something fundamentally wrong with how…