Analytics 2.0

Much more than just tagging

Tell me what’s your marketing and I’ll tell you who you are

Traditional Marketing, Digital Marketing, Online Marketing, Direct Marketing, Social Media Marketing and Email Marketing and some of the hundred types of Marketing we hear about.

Marketing stands for generating market or demand. So in my opinion there is just one strategy, I mean, that one. A company needs income and benefits to keep on track, if the companies do not generate income and benefits they, earlier or later, will be out of the market.

So, in my opinion, strategically talking, there is just ONE Marketing. The one responsible of bringing money to the company, besides the decision is going to online, digital, social, or whatever else marketing. So, online marketing, digital marketing, social media marketing, email marketing, or any other are, as a matter of fact, operational marketing. Which means that the company will have a unique Company Objective, and a unique Marketing Objective that will be focused on help the company achieve its Company Objective. Depending on the strategy the marketing department will decide going to one of the Operational Marketing channels.

So today we can talk about Facebook, youtube and twitter. But tomorrow can be any other thing else and the company would not change its strategy because of that.

Now, let’s come back to the measurement side. We have the exactly same problem. Each supposed type of Marketing has its own measurement platform way too isolated. Wouldn’t be that because of how do they think their marketing? I guess the answer is yes. We are talking about integration for several years (like Integration, where are you?), even thought vendors efforts related to integration where pretty shy, you know why? Because companies are not demanding that a lot. If you are a vendor you have a list of improvements and new features to develop and the priority is based, in part, on what clients demand the most. Demand and Supply.

So, if you think your company has several “marketing” areas and each one works in an isolated way, why would you need a unique platform that measure everything in an integrated way? Exactly, you would’t.

How many marketing departments does your company has? And how many measurement platforms? Does it make any sense?

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Analytics tools – Behind the scene

In this post I will talk about what I think it is important about analytics tools. When I say analytics tools I’m not just talking about those tools that analyzes the behavior into a particular website (whatever you call a website) like Google Analytics, Yahoo! Web Analytics or Omniture. I’m talking about all the Analytics tools, included the other ones that analyzes Behavioral information like campaigns, A/B testing and email marketing. Also the ones that analyzes attitudinal like Social Media Analytics and surveys.

The process begins with information retrieval. All the above mentioned tools has a particular way of doing that, even tools that do the same work, at least, slightly different. That difference would generates small or huge differences in the results, so it’s extremely important to understands that process.

The next step is processing the information. Normally the retrieved information is saved in a raw database, but that database would not be used for reports. The amount of information could be huge and even a simple query can take hours. Can you imagine using an Analytics tool and when you try to get a report it takes 2 hours? mmmhhh, I don’t. Even when I remember my self using an Analytics solution (it was in 2004) that every time I dropped a Query, it generated a message like “your report will be done in 6 hours”….I don’t miss those times, not at all!

From the above mentioned raw database normally the information is processed and saved in a new database that can be queried, dropping results in an acceptable time frame. What happend between the raw database and this second database (data warehouse)? The information is pre processed based on the limited reports that you will be able to get from the Analytics Tool. I mean, the raw database is more flexible. Remember some previous post talking about Flexibility vs. Easy to use? Well, the raw database is the most flexible way of analyzing information. You can basically analyze the information as you wanted to. But, it is not friendly and it is not fast. The data warehouse it is less flexible because you can’t analyze any information you wanted but just the available one. The available one is the previously processed one. If the information that you are looking for was not previously planned and processed, the information will not be available, at all. So, you can say that the data warehouse would be a brief of the “census” based on what the people that designed it thought it is important…so if you just ask about the profile of the people doing this you will get a very interesting clue about what can you expect about the solution.

So, now what? Well, we need reports. I’ll give you the recipe for a report which is at the end a data table than will or not be represented as a graph. You need two ingredients:
1. Metrics (or indicators or KPI’s): “What we wanted to know”. Visits to a website, Mentions to a brand, emails opened, impressions, CTR (click through rate), etc.
2. Dimensions: How the metrics are splited or distributed. By day, by country, by language, by new or previous visitor, etc.

By the combination of metrics and variables an analyst can get or a very useful insight or just data. All the above mentioned tools have normally a set of standard reports, it is a pre defined combination of metrics and dimensions that their team identified as important or useful. Even when those pre defined reports can be somehow useful the possibility that your particular information need, in a particular time matches with what the team from the vendor company thought could be useful is nothing but utopian.


That is why the most advanced tools have something called Custom Reports. Custom reports, even when will not allows you to query the raw database, will allow you to combine all (or almost all, since sometimes some queries even in the data warehouse are pretty heavy) the metrics with all the dimensions. This way the possibilities of getting useful information for a particular need are higher.

So my suggestions are:
1. Never use a platform that hide their methodology.
2. Never use a platform without Custom Reports. It can be somehow interesting, but you will use it for making decisions and not for fun.

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New WAA Directors of the board

As the result of the election process carried on last month the following directors were elected.

Returning
- Vicky Brock, Consultant, UK
- June Dershewitz, Practitioner, USA
- John Lovett, Consultant, USA
- Dennis Mortensen, Vendor, USA
- Jim Sterne, Consultant, USA

Slate (Approved)
- Shari Cleary, Practitioner, USA
- Jodi McDermott, Vendor, USA
- Peter Sanborn, Practitioner, USA (Returning)
- Ed Wu, Practitioner, USA (Returning)
- Alex Yoder, Vendor, USA (Returning)

At Large (2)

- Joe Megibow, Practitioner, USA
- Bob Page, Practitioner, USA

Congratulations to all of them from the WAA Latin American team, Daniel Falcon (Perú), Enrique Quevedo (Mexico), Richard Dawson (Argentina) and me (Coordinating the group). We really hope that there are more discussions about this region in the Board meetings! Let´s rock!

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Web Analytics – The strategy for overcoming the resistant to change

If you are in the middle of the process of convincing your boss to begin with the Web Analytics activities you will, as we already talked at my book Meta Analytics, definitely face a lot of troubles trying to make people (not just you boss) overcome the resistance to change. Don’t you ever underestimate the power of people resisting to change. So take a look at the following video and prepare for a very challenging ride.

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Today at #MMetrOMX

Hi there, today at 12 pm I’ll be speaking at #MMetrOMX a Mexican Web Analytics event. During about an hour Mónica Elias from Codice, Sergio Maldonado from MV Consultora and me will be speaking about Web Analytics in the different markets as well as discussing about unsuccessful projects, (yes, I said “UN”) why not? It’s not great learning from fails!? (Great idea Enrique!). Well if you want to follow the event here I leave you the URL of the #MMetrOMX streaming See you there!

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What’s your objective today?

One of the most important actions you can take in Web Analytics is begin your day with a plan. Your plan can be very easy, just ask yourself what actions must be taken and by whom. Then think where and how can you get that information. Some information may not be available, do not focus on trying to configure and instal a new platform for that. You can do that for the future, but in order to keep focus on the information you need, forget about that by now. Just try to get as much information as you can have, write down all that pieces of realities you have and try to build you decision making scenario. The “reality” is built by an infinity of variables that compose each part of your jigsaw (or puzzle), accept that you will never have all the picture, and your objective is making (or allowing anyone else) for making decision, and the worst decision is the “not taken one”. So, what are your objectives today?

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