Data and Analytics

KPIs to ROI: What to Measure in Digital Marketing

KPIs

You’ve probably noticed that we’ve got numbers on the brain this month. Lots of posts about data: where to find it, how to make sense of it, and when to use it.

It’s a conversation that’s bubbled out of our conference rooms and client meetings: How should we be using all this data? And how can we tell if what we’re doing is working?

The strategies to leverage data can be massive, but they often start with one unexpectedly difficult-to-answer question: What does success look like?

As digital tools become both more sophisticated and more mature, we might expect a go-to formula, like reach and frequency for the web. But in fact, the “right way” to measure has only become more customized and brand-specific over time. Creating a dashboard that actually tells you something meaningful (instead of just telling you everything) can feel incredibly complex. Read Full Entry

lhouseholder

4 Easier-Than-You-Think Ways to Use Data to Make Marketing More Personal

Marketing Data & Analytics

The expectations of today’s healthcare consumers have been shaped by interactions with sophisticated retail, fashion, and technology brands. When these consumers tweet their complaints, they trust a company representative will be listening. When they buy this season’s brightly colored denim, they know recommendations (and coupons) for matching tees are on their way.

These experiences have set the new standards for brand engagement:

Marketing Data & Analytics Read Full Entry

lhouseholder

Mid-Week Stat: Big Data = Big Potential

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Data and Analytics

“Big data” refers to datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze. It is intentionally subjective and is expected to grow over time.

tdurbin

Keys to Success: KPIs for Digital Marketers

Digital KPIs

Identifying actionable key performance indicators (or KPIs) is arguably the most under-appreciated ingredient of a well-structured digital marketing plan. KPIs can empower the digital marketer to be proactive in responding to intelligence that is mined from campaign data.

Unfortunately, KPIs have the opportunity to be underwhelming when digital practitioners lack the skills or ambition to construct a comprehensive, strategic digital marketing program. The “set it and forget it” mindset that worked once upon a time, when the landscape was easier to navigate, will drown in a sea of campaigns with strong goals and analytics.

But today’s elite digital marketers recognize the importance of well-rationalized KPIs, and work hard to define precisely what they hope to accomplish before any unnecessary time or money is spent. So let’s crack the code on KPIs, beginning by defining the requisite vocabulary:

  1. KPIs: Primary indicators of the overall health and well-being of a digital marketing campaign. These data points must be clearly set from the beginning and allow for action on the part of the marketer when either opportunity or under-performance is identified. Think of the best KPIs being no different than what’s displayed across a car’s dashboard: data that informs the driver when it’s time to get more gas or slow down, even that a door is slightly ajar.
  2. Baseline: The initial starting value of a KPI. Baselines are often discussed and recorded before launching an entirely new campaign.
  3. Benchmark: The mean average of a KPI as seen over a period of time. For example, if the average cost per lead (CPL) in 2011 for an online business was $25, then $25 is then referred to as the benchmark against which future time periods will be compared.
  4. Trends: A progression of KPI data over long periods of time. It’s important to note that short-term fluctuations do not necessarily reflect trends.

The first step is to recognize what the organization is hoping to accomplish through its investment in a digital marketing campaign. As I’m sure you can attest, we all too often hear clients declaring that they “want more traffic” or “want more sales” as a result of their investment. But let’s be honest, those are bogus goals. To be actionable, we need something more concrete.

Let’s look at search, for example. If we are talking about more actionable KPIs, ideal objectives would look more like, “We’d like to enhance our marketplace awareness through increasing our search-referred visit count” or “We’d like to boost profitability by lowering our cost-per-lead by $10 this year compared to last.” These objectives are ones we can support with actionable KPIs like “Share of Search Clicks” or “Search-Referred CPL Trend.”

We’ve found, too, that those types of clear objectives often aren’t  initially apparent or the program that’s being deployed is a first of its kind. In those situations, leveraging the first 60 to 90 days of in-market activity to establish an initial baseline for any KPI is highly recommended. That new baseline then becomes the data point against which the program is judged from that moment on. This approach is typically preferred, even if industry-wide benchmark data is known.

So the keys to defining mission-critical digital marketing KPIs are:

1)  Assess the challenges facing the organization;

2)  Determine the most appropriate role a digital marketing campaign can play to assist with those challenges;

3)  Anticipate the resultant data that will then be available; and

4)  Focus on and optimize against those metrics mash-ups that best highlight program successes.

rdeshazer

Mapping Data You Already Have

Data Mapping

There are many interesting and effective ways to map data that you may already have from various sources. Whether that data comes from human beings, actions, weather, distance, or really anything that can be tracked and stored as information. How that data you already own are mapped and then presented to another audience is the moment of impact. It can help someone see an idea differently, understand the meaning behind a theory, or provide a mechanism for educating others.

Considering that there are so many options to mapping data, taking a straightforward approach probably won’t get you to that moment of impact. This begs the question, “Where do I start, and how should I think about mapping data.” The answer on a high level is to think about it in a creative way by collaborating with key individuals that understand the data. Secondly, define the end goals you hope to achieve by distributing the data to help guide the overall mapping process. It can’t just be about a data dump. Read Full Entry

prichard



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