Uncover your most valuable page to yield great insights

It's an important question. It's a big question. And if you can't answer it, you're in some serious trouble.

What's your most valuable web page (MVP)?

Don't just say 'my home page' because it may not be true. It could be deeper in your site than that. The answer could even change every month.

First of all, you have to know the goal of your site and your traffic breakdown. Look at absolute revenue and conversions - where are they all coming from? (Hint: Look at e-commerce and goal-completion tabs.) Identifying your MVP will allow you to observe the behavior of your customers, and also to have a great impact on revenue or conversion once you've identified opportunities for optimization.

[Video] Devices are tracking and optimizing our lives

For internet-oriented people, it's easy to lose sight of the bigger picture of how data and electronics are changing our world. I mean that in both the personal sense and the literal sense - how we design everything, from cars to the streets they're driven on, are now based on thoroughly collected and analyzed data.

Of course, we know that websites track how we use them, but as this IBM video points out, our clocks and cars can be networked and tracked and optimized to make our lives more efficient

Check out the video...

Don’t let your thesaurus eat your leads

We don’t claim to be a copywriting company. We let each clients data guide the recommendations we make on their digital business and optimization strategy. That said, we fully appreciate the importance of good copy in the persuasion/conversion process, and there is no place worse for brutal copy than B2B.

Tell me what you do or you won’t get my business

I have worked exclusively on the vendor/consultant side in B2B for my entire career. After over a decade of looking at business websites, I have a pretty good idea of how to cut the wheat from the chaff to find out what a given firm does.

I look at the homepage, and if I still don’t know what they do, I click on “About Us”.  If I still don’t know what they do, I click on “Products/Solutions”. At this point I will click on “Clients” and if I see some big names, I will just call the receptionist and ask... ”What do you guys do exactly?”

I have been doing some vendor research today, and I have bumped into at least 10 websites where I don’t really know what they do.

A few quotes for context:

“...leading center of excellence for catalyzing online direct to consumer interactions.”

What?

Why e-businesses need effective category pages

Imagine that you walked into a store and told a salesperson that you want to buy a blender. The salesperson walks into the store room, grabs one off the shelf, comes back and puts it in your hands. “You want it or not?” he says. “Not this one exactly,” you say. He walks away and returns with another blender. “What about this one?”

Any customer would grow tired of this exercise pretty quickly. Online, it’s no exception. Guiding your online customer to the right product and allowing them to browse for a moment before the sale creates a more pleasurable buying experience and will increase conversion rates.

Occasionally, because of various responsibilities, both clients and digital analysts can forget about this very basic premise. Buying online is a process, and walking with your customer through your online store using digital analysis can be a revealing exercise. With Analytics, we can walk with our customers and map the most common paths to a purchase.

Magnifying Glasses, Microscopes and Web Analytics.

We have been talking to and working with a lot of companies this year for web analytics, and an interesting trend has been emerging with the executives that we are dealing with. Most digital decision makers we talk to either want to have Napkyn deliver ‘magnifying glass’ focused consulting on a few critical business metrics every month, or they want us to pull out the microscopes and look for new revenue potential in the specifics of their data.

In understanding these two types of executives, their motivations and ultimate goals, we can quickly see what value a good web analyst can immediately bring to an organization.

Executives who are responsible for a digital channel tend to fall into one of two types:

Analytics for performance management (macro level analysis) : Macro executives view WA data as a set of health metrics that can be used to understand the digital business. Their ultimate goal is to have a small set of business critical metrics that they can monitor to assess their online success. An example of this would be Patrick Byrne at Overstock, who says that he continually monitors their net promoter score as an operational success metric.

Analytics use in the Internet Retailer 500: Interesting Findings

Like any fast growth company, we use cold calling at Napkyn as a way to start off long term relationships (and sometimes get hung up on). We take pains to follow the number one rule of cold calling: Never waste anyone’s time. The best way to follow this golden rule is to do some homework on a company before you call them.

Which leads to today’s blog post. After this recent article profiling the impact we have had at Scentiments (#384 on the IR 500) we have been signing up new customers across the IR 500 who want to better understand their data and grow their sales.

So we are reaching out companies with under $75 million revenue (#s 315 to 500) on the Internet Retailer 500. In the interest of making every sales call useful for us and the companies we’ll be calling I have been profiling analytics tools usage.

I was so intrigued with the results I did some rough analysis to share with readers of this blog. Feel free to ping me with agreement or hate-mail on my findings.

Segmentation and Conversion: Closer to the Heart

In a previous post I referenced the importance of considering only ‘convert-able’ traffic when looking at a goal conversion rate, i.e. only look at US visitor data if you don’t ship or service outside the US.

The reason that you always look at conversion when analyzing web data is because it allows you to always answer the “So What?” questions you receive when talking about data.

Lets use a few made up 'boss conversations' to illustrate: