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Michael Senger's Blog


Archive for the ‘Web Metric Analytics’ Category

Can I measure a ROI with Social Media?

Friday, November 16th, 2012

Absolutely! Well, in a manner of speaking.

But it will not happen because you have an e-commerce store on Facebook’s platform. Regardless of a Facebook currency concept being proposed, an option ‘to buy’ may never come to fruition.  Other popular social media platforms, like Twitter or Pinterest, do not have ‘buy now’ buttons either.  So how do companies justify their marketing dollar budget spend?  How did companies spend billions on Social Media Marketing in 2012?

There is increased pressure for marketers to find and engage new customer prospects.  In my seminar talks across the country, I ask for an audience member who has recently purchased a large screen TV. Once I know the model, I delve quickly in to how they made their purchase decisions and ask the kind of product research and comparisons conducted.  My final question is “now, did you visit the TV manufacturers website as part of your decision making process?” -  The answer is always “no”.  Wait a minute, what is going on here?  Today’s customer is smarter, they make purchase decisions differently, and they may never come to your website – social media has changed how we make decisions.

The reasons on why a company must market in social media are evident, but we must do a better job of measuring the effectiveness.  Justifying your marketing program success by stating “we have increased our Facebook likes by 40%” is not a ROI.   Marketers need to ask themselves the ultimate question. If you owned the company and your marketing budget was your personal money, would you be satisfied with this answer?  No, you would ask Marketing to show how these budgets spend has increased sales.

If you have a limited budget, you can do this cost-effectively. Assuming you have a web analytics program in place like Google, there are certain calculations that need to be identified.  First, what is your ratio of new to repeat visitors?  Are you seeing an increase in new site visitors as you increase your social media spend?  Next, identify ‘success event’ webpages; for B2B companies it is a landing page with a lead form and for B2C customers, it can be a “thank you for your purchase” page.  The fundamental approach is simple, what % of new/repeat visitors is visiting your ‘success event’ webpage today?  This % ratio is now your benchmark for identifying visitors that become a customer prospect.  Example, 5% of new visitors completes a ‘success event’ and is now identified as a customer prospect.  Use this ratio as you begin your social media programs to calculate the % of new visitors coming from Facebook, Twitter etc.

Your other option is talking to us at StoneMass about our in-bound marketing platform solutions that can help generate leads and sales and measure ROI accurately from Social Media – ask for a demo today.

Lies, damned lies, and web metrics – Part 3

Tuesday, April 7th, 2009

Author: Michael Senger CEO, StoneMass

Part 3: What do my Key Performance Indicator (KPI) measurements mean?

Congratulations! After reading Part 1 and 2, the challenging part of web metrics is done. There is still ongoing work required but the methodology of identifying clear goals and assigning applicable Key Performance Indicators (KPIs) is a sound business practice.

In addition, make good use of a continued improvement process. Realize that company objectives will change and therefore your web objectives and KPIs may need to be modified. Changing objectives and KPIs may seem a daunting task to manage but they are not. If you focus your web site around a small number of changes, your web metric program will become more manageable. In a previous position, I was managing Symantec’s enterprise online marketing worldwide. During the crazy days of the Dotcom boom, quarterly web objectives were set and then changed within the first month. With rampant growth in new markets, “changing the tires while driving” was our company’s modus operandi. But this should not be the case with you…hopefully.

Using actual numbers, let’s look at the example I used on my previous blog posting “Part 2 – Where do I begin to start analyzing web data?” Our company objective was to improve online customer retention for the 1st quarter of 2009. We will measure this objective by using the following KPI, with a target goal to increase by 10%:

metric_example2At first glance, we failed on meeting our objective of improving customer retention. However, you should be more interested in understanding what could contribute to a lower website customer satisfaction level – therefore further research into the data is required. We soon learned that a national marketing launch occurred in January. As a result, there was a huge spike in new visitor traffic to the website. Marketing and public relations were successful in driving new visitors to the site but was the cause for the drop in % returning customers.

During hard times, there is great pressure to justify every marketing dollar that is spent. A web analytics program that binds company objectives with measurable KPIs, is now expected by Senior Management.

Lies, damned lies, and web metrics – Part 2

Tuesday, April 7th, 2009

Author: Michael Senger CEO, StoneMass

Part 2 – Where do I begin to start analyzing web data?

Knowing that you have so much data available to you can be both enlightening and daunting. The question you need to ask is where I begin. Start with your company goals for the year. If you don’t have any, well that’s a blog topic for another day. From your company goals, you can create specific marketing objectives that transcend to your website. From these marketing objectives, you will identify and measure key performance indicators (KPIs). Your KPIs are key web activities or actions that you want to focus on.

It is unrealistic to state “I want to merely increase web traffic to your website”. It is more useful, for example, to define a goal of increasing web traffic by 10% to support a product launch for September.

Let’s consider the following company example:

Company Goal:

Acme Company sells consumer widgets and one of their 2009 business goals is to improve customer loyalty.

Web Marketing Objectives:
Benchmark, measure and improve online customer satisfaction KPIs for the 1st quarter of 2009.

Key Performance Indicators (KPIs)

Example:
Retention KPI = Ratio of “Returning visitors”/”All visitors”
What it measures: determines how you are doing at retaining visitors
Metric: increase by 10%
How: promote webinar and product announcements

Action:
First determine your KPI benchmark to identify a % goal increase. I usually lean towards measuring the same period before. Since we are measuring performance for the 1st qtr of 2009, I would recommend you compare metrics to December Qtr 2008. Use your judgment here; if your company has strong cyclical sales you may want to measure the same period from the year before.

Next: Part3 What do my KPI measurements mean?

Lies, damned lies, and web metrics

Tuesday, April 7th, 2009

Author: Michael Senger CEO, StoneMass

Why is there a certain ‘voodoo’ associated with web metrics and analysis? I would think most business owners and marketers when asked “do you need better analysis tools to measure your campaign effectiveness?” would immediately raise their hands. We all want better measurement of our $’s performance but are averse to understanding the data mechanics or even how to go about generating an insightful report.

farside1This ‘Far Side’ comic reminds me of a company I previously worked for. This was the typical response from fellow marketers when asked what kind of metric reporting is being done to measure campaigns. Simply, no one wanted to own the metrics data or be held responsible for reporting it.

The Wikipedia explanation of the phrase origin “Lies, damned lies, and statistics” states the following:

“…the use of statistics to bolster weak arguments, and the tendency of people to disparage statistics that do not support their positions.”

There lies our second issue; the numbers are accurate but the interpretation and usage by the individual can sometimes be suspect.

In this three part series, it is my intention to dispel this voodoo and to provide a methodology for evaluating and measuring the success of your online program .

Part 1: Keep it simpleToo much data is just that – too much data!

By 1969 in Vietnam, the kill ratio for American jets during dog fights was plummeting. At one time, 20 to 30 enemy planes were shot down for every one US jet. By the end of the decade the ratio was one to three. American jets and their technology were far superior to the Russian Mig Jets but a disturbing trend was happening.

When they interviewed the pilots that were highly successful in air to air combat, they found something in common. As fighter information technology advanced, so did the pilot’s dashboard and instruments. The successful pilots identified and focused on a few instruments; ignoring the rest. One successful pilot had even taped over redundant instruments. In the engagement of the air enemy, life or death decisions were based on key critical information.

Most web analytics software programs, Omniture, Google, etc. offer the user so MUCH information in their web marketing dashboard to send the user screaming down the hall in frustration. Keep it simple and too much data is just that – too much data.

Next : Part 2 – Where do I begin to start analyzing web data?