The first commentary I have, is the somewhat immediate need for online news media publishing metrics standards. Let me provide a simple set of offline publishing metrics, a set of quotes that show lack of standards and finally a suggestion on how we could perhaps look at this instead. All with the intent of moving us forward.

For as long as we can remember, Circulation in many ways defined the health of news media, such as daily newspapers or weekly news magazines. Circulation being the SUM of copies distributed to subscribers plus copies picked up at newsstands etc. However; a circulation count does not equal a Readership count, as most publishers will take into consideration that every copy is read by more than one person. If you agree on this layout, we then have a set of basic offline publishing metrics that look like this:

• Subscriber = Customers paying for a publication
• Circulation = SUM of copies distributed to Subscribers + SUM of Unsubscribed copies picked up
• Readership = Circulation * Count of people reading it on average

The above offline publishing metrics are fairly easy to understand, even though you probably, like me, spend most your day around online specific metrics. Please note that the concept of paying for, does not necessarily equal a payment in money. I identified earlier, that a newsreader is likely to pay in one of three currencies.

The first decent question is likely to be, If we are ever to compare offline to online; does the above three basic offline metrics even translate into a set of online publisher metrics or specifically online news media publisher metrics? Before we consider if that’s possible, and even a valid question, I would like to present a few quotes (beginning with one from Ken’s Newsonomics book.)

Ken Doctor quotes Ann Moore, CEO of Time Inc.

- “She made the point that every Sports Illustrated print subscriber is worth $118 a year to the magazine, mainly in advertising. Every SI.com customer, though, is only worth $5 per year”

In trying to understand the above quote, and assuming an error in using the metric, Customer, I looked up a previous quote from Ken:

- “I keep coming back to the numbers recently laid out by Time Inc. CEO Ann Moore: Each Sports Illustrated paid reader is worth $118 a year, mainly in advertising, while each SI.com visitor fetches a measly $5”

The  above quote then again links and reference the following quote from a Forbes article:

- “In 2006 Sports Illustrated generated about $118 in revenue for every person who paid for the print magazine, compared to $5 per online reader.”

Feeling a tad unsure on the legitimacy of the above metrics, I wanted to see if Ann Moore was quoted elsewhere, and Rafat Ali did indeed do an interview which was published on paid content, and in it you find the following quote:

- “The average reader of Sports Illustrated delivers about $118 to the bottom line in Time Inc. The average very engaged user of SI.com can generate about $5 in advertising contribution”

I am sure you, the web analyst, see a pattern, and with that pattern a number of issues. Some of those issues might even make the above $118 versus $5 incomparable, and render it invaluable, beyond the ability to use it as a punch line.

First. Let’s have a look at the 4 quotes and their accompanying 2 supposedly comparable metrics – and as they all reference the same set of proofs, they should essentially be identical.

• subscriber
• paid reader
• every person who paid
• average reader
• customer
• visitor
• online reader
• average very engaged user

I am not sure, if given this list, that I would immediately conclude that any number given for any of the above metrics would or should align, to the point where I could compare performance amongst them. If anything, this list shows that there is indeed a need for metric standardization, at least to the minimum of agreeing on a shared vocabulary. Trying to be a bit more fair, I paired up the metrics, as they were presented in the 4 quotes above:

• subscriber = customer
• paid reader = visitor
• every person who paid = online reader
• average reader = average very engaged user

Given these 4 metric comparisons alone, I would not be able to say that they reference the same subject. Beyond the obvious difference in-between them, we also have the actual issue of trying to e.g. equal a paid reader and a visitor. I believe I know what a paid reader is (Subscriber) and I am quite confident in knowing what a Visitor is. BUT I am also very confident in saying that those two are not the same – and that translation from the offline Subscriber to an online Subscriber is not done by just using a Visitor metric. If anything, and this certainly needs more work, one should align the following:

• Offline Subscribers = Online Users
• Offline Readership = Online Visitors

Where online users could be as firm as an online subscription to e.g. the Financial Times (which makes for a very good comparison to offline subscribers of the paper). But Online users could also be the SUM of Feed and Fan subscribers to e.g. the New York Daily News (who has a more ad driven monetization model).

Please note that I am not disputing the values per say, I am however a bit hesitant in believing the off-line $118 amount compared to the $5 amount being of any real analytical value.

Again, the book is great and it got me thinking about a number of issue.

In conclusion and as I continue down the rabbit hole, trying to figure out how Data and Analytics can help publishers increase their current performance. Standardization might not look like much of a performance or optimization technique, but not knowing clearly what your are optimizing against, makes the task not only difficult, but also dangerous to the point where you can make more harm than good on certain initiatives. So the laissez-faire metric attitude, should be exchanged for well defined and understood online publisher metrics.

Cheers – AND finally a post where picking the thumbnail picture took longer than writing the post ;-)
/ Dennis (@dennismortensen)

I was really excited to receive a Kindle the other day, as I finally got to actively try out a new reading experience in regards to my above fixation. If you think about it, kindle, or similar e-reader experiences, like what B&N or Sony peddle, provides the opportunity to deliver a digital magazine, while actually capturing a set of metrics. Still limited and few, but metrics nonetheless. My first set of purchases was (of course) Data Driven Insights with Yahoo Analytics, but also the Economist Magazine (both Amazon kindle links).

Like you, I am most sure, I tag into an endless stream of information (news), flowing in from RSS feeds, Twitter and so on and so forth. I even believe that I am somewhat selective in my limited 28 RSS feeds, following 57 folks on twitter etc. – BUT still en endless information stream nevertheless. I personally see that as somewhat of an issue, never being able tick a box and say that you are finished.

The first positive element about e-readers, speak directly to the above issue, which is that, it creates, just as with a traditional magazine (in paper), the feeling of having consumed and completed a task. I don’t believe this is a bad feeling to emulate in digital magazines. I for one have the interest and willingness to consume an editorial package that goes beyond the actual article. There is a huge difference between me letting a friend know that the December edition of Wired Magazine was really cool, as compared to me sharing a link to Evan Ratliff’s Vanish Article (which just adds to the endless stream).

The first negative element about current digital magazines on e-readers, is that they bring nothing to the party, above and beyond what I get from the printed magazine. They almost detract from what I have gotten used to from their online editions. Where I have the audio interview, the video extension, the additional pictures that didn’t fit to print etc.

Conclusion (day 3):
I honestly believe that a tablet of some sorts will provide the opportunity for a prospering digital magazine industry, I in particular see the need for a curated editorial product that can be consumed, completed and finally commented on as a whole. Everything that seems like a task – MUST create a structure to finish, which is my biggest issue with today’s endless information stream. However, I believe the digital magazine is up for a transformation which is more radical than the print replica I just read.

Please note that this comment is, of course, not about the hardware, but about the digital magazine concept. It is also difficult to figure out to what extent data mining and traditional analytics is being used in driving the digital edition – seems like NOT at all on the Kindle today (in the eye of the publisher, I am sure Amazon is mining the hell out of usage patterns). Well, more about this subject later, when I get even wiser.

Interesting digital magazine prototypes (video demos), especially the Mag+ presentations from Bonnier:

• Bonnier Mag+
• Sports Illustrated, Tablet Demo
• Wired Tablet Concept

(Please have in mind that my experience is limited to me having access to a kindle and the Economist for a few days, so don’t be shy in adding to the discussion, I would love to hear about your immediate experiences)

Cheers :-)
/ Dennis (@dennismortensen)

So come and find me in this December version of “Where’s Waldo?” – I would love to meet up for a nerdy chat about Analytics or Media. Drinks are on me! You are most welcome to connect on Tripit (thus increasing your chance of getting that Mojito)

..
Dec. 01 – New York: Speaking and Socializing at Stratigent YWA Analytics event

Dec. 03 – New York: Speaking about Bootstrapping vs. Venture Funding at ULS

Dec. 07 – Chicago: Speaking on Analytics & Attribution at SES / (my comments)

Dec. 08 – Chicago: SES Authors Book Signings Event (12:00 in the exhibit hall)

Dec. 10 – San Francisco: Customer Meetings
Dec. 10 – Sunnyvale: back to Yahoo! home base

Dec. 11 – Mountain view:  Speaking on Metrics for Success at SDForum
..

Cheers :-)
/ Dennis (@dennismortensen)

That’s a first, and not that I am surprised, but James found a mistake on page 90 in my Yahoo! Web Analytics Book – minor and repeated on the next page in correct form, BUT I still owe him a free Diet Coke in New York for pointing it out. Here is the section from the Book – I highlighted the error and added in the correct deployment syntax.

Tracking Products Viewed

I have been very focused on the nirvana of e-commerce actions, the sale, but I am sure you agree with me that there are many steps and many actions before getting to this point. You can track any number of steps and any number of activities with Yahoo! Web Analytics. The tool has a few hard-coded events, however, that come right out of the box—one of them is the unique action value called PRODUCT_VIEW. The Product View variable provides you with the opportunity to expand your merchandising knowledge to activities, very close to the top of the sales funnel. In this way, you can see how often potential customers view your products, which products are the most popular, and whether a positive connection exists between product campaigns and product views.

Remember that selling only provides you with successful customer behavior, whereas events before the sale occurs can provide you with very powerful insights on unsuccessful customer outcomes. The product view can be used in a number of ways, and you will even see some use of it as a proxy for products added to cart or sales (if they do not have volume enough to perform signifi cant campaign analysis on that parameter). To enable this type of tracking, you apply the value PRODUCT_VIEW to the ACTION variable on all the pages where you display products:

Version 4

var ACTION=’PRODUCT_VIEW’;
var _S_SKU=’DM112899’;

Version 5

YWATracker.setAmount(“PRODUCT_VIEW“); //Error
YWATracker.setAction(“PRODUCT_VIEW“); //Correct
YWATracker.setSKU(“DM112899“);

The pages where this code is applied do not have to be unique and in fact rarely are. Products are displayed on product marketing pages, technical specification pages, in search results, in recommendation boxes—and I am sure you have even more suggestions. I recommend you enhance your document-naming and -grouping skills to create opportunities to split different product views over the site.

Which leads to our next topic: forwarding to pages where we display multiple products at the same time. A product search result is likely to do this, as shown in Figure 4.3

Figure 4.3.  -  Standard product search result page

There are other scenarios where this is bound to happen. In order to track several product views at the same time, continue using the same syntax we’ve discussed in previous chapters, separating variable values by a semicolon. Tracking two product views at the same time looks like this:

Version 4

var ACTION=’PRODUCT_VIEW’;
var _S_SKU=’DM112899;DM113834’;

Version 5

YWATracker.setAction(“PRODUCT_VIEW“);
YWATracker.setSKU(“DM112899;DM113834“);

If you are not sure which product views to track together, the default merchandising report, shown in Figure 4.4, is a good starting point for you to play around with the various dimensions and metrics.

Figure 4.4  –   Default merchandising summary report

Note that the report in Figure 4.4 and those from earlier include product naming and product categorization, which we are yet to talk about, and thus your reports will look different. However, you can view merchandising reporting and products on a SKU level, as shown in Figure 4.5. You only have this option, though, if you have not uploaded any merchandising information. If you proceed to the summary report, you will see the screen shown in Figure 4.5.

Figure 4.5   -  Viewing products by SKU

As I mentioned earlier, you can choose to view products by SKU to begin with and then associate product names and categorization later. Now, let’s move on to tracking products added to your cart.

…

Well, error corrected! :-)

Cheers :-)
/ Dennis (@dennismortensen)

Not convinced it’s worth your time; here’s the abstract and the introduction:

Abstract

Measuring and reporting on the impact of a Microsite without taking into consideration how it uniquely differs from the expected and somewhat associated parent website is an error! This white paper points to a number of analysis items which will facilitate the right mindset for Microsite analysis and reporting – if this type of thinking is not applied, you will at best provide flawed reporting to your customers and at worst suggest actions that will negatively impact the Microsite.

Introduction

Any online endeavor such as a Microsite is created with a business objective in mind, and for this business objective, one must have a set of measurable KPIs and very likely a set of associated metrics that can be used to optimize the KPIs. This is a given and, with this assumption in mind, as I take you through this white paper, you must understand that this is not meant to provide you with an exhaustive list of Microsite specific KPIs.

Measuring and reporting on the impact of a Microsite without taking into consideration how it uniquely differs from the expected and somewhat associated parent website is an error! This white paper points to a number of analysis items which will facilitate the right mindset for Microsite analysis and reporting – if this thinking is not applied, you will at best provide flawed reporting to your customers and at worst suggest actions that will negatively impact the Microsite. That being said, this is neither a complete reporting and analysis guide nor a template for you to replicate to your next customer – it is a way of thinking which you must apply to your own Microsite reporting. For every three suggestions I provide with regard to reporting or insight on Microsites, there should be another three as obvious recommendations from you, based upon the introduced mindset.

A Microsite (and it goes by many different names) is an autonomous website, focused on a smaller subject matter. It is usually detached from the parent website and the only combined experience is a set of gateways into the parent site. It is unusual and in most cases not recommended to replicate the navigation structure and general layout of the parent site as you lose the advantages of the Microsite – and honestly, aren’t you then just building a new subsection to the parent site? There are ways to analyze whether you have been successful in your casual parent site attachment and we will come to that later. Finally, have in mind that a Microsite is designed to have a limited lifespan – if nothing else, in its current form. You can also think of it as a range of purposes like; specific product offerings, whether that is a feature film, car or a burger for that matter, small branded communities, portal integrated and sponsored content sites, branded entertainment used as a promotion vehicle – and with that in mind, you should have a fair view of what I warrant a Microsite.

It is important that you do not misplace the meaning of a landing page or set of landing pages as a result of your Microsite endeavors. A landing page is a logical extension of your advertisement of your parent site. The landing page serves, for the most part, as either a gateway into the parent site or directly as an optimized transaction page. You can, of course, have a unique landing page on your Microsite, should you want to, but for the most part this will be the home page or a page that plays the role of the homepage. See Figure 1 for an illustration of how Microsite content and traffic overlaps with parent website and landing pages.

As an Agency you must create a mindset in your analysis and reporting that intelligently takes into account the content split and overlap of the three constituents (as shown in Figure 1) and their traffic flows. To put it clearly, we agree that the Microsite is indeed independent, but we also expect integration and overlap with the parent website. Do have in mind that a Microsite can function as a bridge and path between two parent websites as well, such as having the Microsite partly injected into a foster parent. As an example, in describing the idea of a foster parent, envision a scenario where you have the Microsite created as part of a portal channel. In this particular scenario, I both view and treat the initiating foster parent as a campaign source throughout this white paper – and I suggest you do the same in general. The thinking about a foster parent expands the Microsite definition to include elements like the fan-page and branded apps.

I am not debating or concluding on the potential success in deploying a Microsite and/or the overall strategic righteousness in using a Microsite as a marketing vehicle. This white paper assumes you’ve used a different set of metrics for such a debate and positively concluded that branching out from the parent website and using a Microsite is what’s needed for success.

So who is this white paper for then? The Agency Analyst, Account Manager and anybody who is responsible for communicating the effectiveness of a Microsite.

If you subscribe via my personal RSS feed, Email feed or Twitter feed for that matter – you should see a notice come out in the next coming weeks, in regards to the final Microsite Analytics White Paper.

The white paper will be posted as a PDF download.

Abstract

“Measuring and reporting on the impact of a Microsite without taking into consideration how it uniquely differs from the expected and somewhat associated parent website is an error! This white paper points to a number of analysis items which will facilitate the right mindset for Microsite analysis and reporting – if this type of thinking is not applied, you will at best provide flawed reporting to your customers and at worst suggest actions that will negatively impact the Microsite.“- White Paper: Microsite Analytics – Dennis R. Mortensen, Yahoo Inc.

Cheers :-)
/ Dennis (@dennismortensen)

First. I am a huge Kindle fan and seeing the DX optimization is just absolutely fantastic! But wait, oh no, I don’t actually own a Kindle myself. Anyone out there who own a Kindle or even better actually owns a Kindle DX? .. or perhaps this is just a sign from God (or whomever) that I must go buy the device! :-)

Amazon Kindle link:
Yahoo! Web Analytics: Tracking, Reporting, and Analyzing for Data-Driven Insights (Kindle Edition).

n.b. Optimized for means: “This title has complex layouts and has been optimized for reading on Kindle DX’s larger screen, but can still be viewed on other Kindle devices.”

Cheers :-)
/ Dennis R. Mortensen (@dennismortensen)

I don’t know about you, but I personally think this is beyond exciting, and I am thrilled to see us take this (almost) final step towards full integration into Yahoo!

What is YWACN?

This is a network of third party companies with expertise in deriving insight from Web Analytics AND deploying Yahoo! Web Analytics in particular. The purpose of this network is amongst other things to help our clients get the best out of the tool – and hopefully also help us spread the gospel of YWA. It might even alleviate the stress on my personal in-box!

You are more than welcome to compare this in idea to the GAAC network – there, I’ve said it! :-)

Who are the Consultants?

A lot of the consultants are legacy IndexTools partners – and thus a bunch of folks who have years and years of experience in the actual technology, from before we turned purple. They are… drum roll please:

countquest.se, tribal-im.com, nordicemarketing.com, receptional.com, naviatech.fi, netvantagemarketing.com, e-dialog.at, Leads2Business.nl, milesbennett.co.uk, tricomb2b.com, sems.it, explido.de, booming.de, latitudegroup.com, emerite.cz, astrups.com, snowvalley.com, b-found.no, epsilonium.com, netprofiler.nl, acronym.com, networkintellect.com, coloradowebsolutions.com, contentmetrics.de, deducta.dk, eformation.de, e-interactive.es, eurorscg-riley.co.uk, engineready.com, inflow.dk, intellignos.com, onetomarket.nl, lbigroup.be, positive-thinking.co.uk, stonetemple.com, sundancemedia.ca, webcertain.com, studiocappello.it, zunch.com and creuna.dk.

We even added a few additional rock stars to that:

webanalyticsdemystified.com, semphonic.com, stratigent.com, sapient.com, purpleclick.com, thesedays.com, bitbang.it and insightr.com.

48 YWACN partners all in all – and you should be able to see a full list of YWACN partners on the YWA site. CALL them today, email them, tweet them .. heck, invite them out for dinner, they deserve it! (if you haven’t noticed, they are your new best friends)

Can I join?

Perhaps ;-) If you really excel in the field of web analytics and truly are one of those consultancies that help derive actionable insights from web analytics for your customers – we would love to hear from you.  In return and as a Member of this exclusive, global professional network of Yahoo! Web Analytics consultants you will receive a number of benefits, this including:

• Yahoo! Web Analytics FREE account creation rights (This is sexy eh?)
  
• Listing on Yahoo!’s Consultant Network web page
• Potential client referrals from the Yahoo! Sales team
• Exclusive “Yahoo! Web Analytics Consultant Network” icon for display on your website
• Premium levels of technical support and access to a partner portal
• Access to an exclusive YWACN forum to share ideas and technical tips with other top analysts worldwide
• Unique opportunities to work with Yahoo! to provide trainings, books and speaking engagements

Go have a look at the criteria for becoming a member of the Yahoo! Web Analytics Consultant Network on the web site.

YWACN Links: (..and partners; send me your blog posts if I didn’t catch’em)

- Netvantage – now a member of the Yahoo Web Analytics Consultant Network
- Yahoo! Web Analytics Consultant Network, Nordic eMarketing accepted
- Receptional. Yahoo Web Analytics Consultant Network
- Insightr joins the Yahoo! Web Analytics Consultant Network (YWACN)
- Tribal is nu ook Yahoo! Web Analytics Consultant
- Onetomarket toegelaten tot Yahoo! Web Analytics Consultant Network
- ..

Cheers :-)
/ Dennis R. Mortensen (@dennismortensen)

Thanks for your interest in Yahoo! Web Analytics. We’re excited to inform you about the launch of our Yahoo! Web Analytics Consultant Network (YWACN)

YWACN is a network of independent third-party analytics specialists who can help provide analytics consulting services. The specialists in the network have been approved by Yahoo! to help our valued customers. The breadth of experience of YWACN members, and their knowledge of Yahoo! Web Analytics, makes them uniquely qualified to provide expert assistance in analytics planning, implementation and usage.

Whether you’re a large organization or a small ecommerce merchant, you can expect to benefit from a more intelligent leveraging of analytics with YWACN. The consultants in the network can help increase your qualified website traffic, achieve more conversions and sales, and see a better overall ROI.

To learn more about YWACN members, click here. Also, you can look for consultants with the YWACN member emblem.

I did an interview over at Web Analytics World, which includes some decent commentary about the book and who it is intended for.

A few metrics for people as nerdy as I am. I announced the agreement with Wiley on Sunday July 6 2008, started writing the book in the fall of 2008 and spent about 5 months and 370 hours writing it, before turning it over to Wiley recently.

Another fun trivia is; that my good friend Avinash (from GOOGLE) wrote the foreword. (Thanks Mate!)

You can go preview the book on Amazon, and also on Google Book Search. AND should you fall in love, this is where you can go buy the book:

• YWA book at Wiley.com
• YWA book at Amazon.com
• YWA book at Barnes&Noble.com
• YWA book at Borders

A bit of information on the three parts of the book:
(..and yes, I look a tad too serious on that picture)

My philosophy is that you should focus on three different but equally important tasks; A) Collecting Data, B) Reporting on Data  and C) Deriving insight from Data. Dependant ones vantage point, one or more of the chapters will be in focus. I have divided the book into three parts to reflect these broad tasks.

Part 1, “Advanced Web Analytics Installation,” consists of Chapters 1 through 5. The focus is on data collection. True competitive advantage in web marketing comes from collecting the right data, but also, and no less important, from configuring your web analytics tool in such a way that you can derive insight from the data. Part 1 features detailed code examples that webmasters or developers can apply directly. Marketing people and executives will learn the opportunities they can demand from this tool. I also show you how to add reporting dimensions to the predefined report structures for fantastic filtering and segmentation opportunities.

Part 2, “Utilizing an Enterprise Web Analytics Platform,” encompasses Chapters 6 through 10, where we focus on reports. Creating reports is an easy feat, but remember that reports are never better than the data you collect. You need an exceedingly good understanding of how to work with your data. Part 2 is less technical than the first part. In it I’ll teach you to use your reporting toolbox to provide targeted answers to specific questions, such as “How much revenue did we make from first-time organic search visitors from Canada last week?” For this and many other questions you’ll encounter there is no standard report, but you will know how to get this answer and hundreds of others when you’re through with this section.

Part 3, “Actionable Insights,” encompasses Chapters 11 through 13 and focuses on how to take action on your data to optimize your web property. Having gone through the effort of implementing the data collection and reporting strategies in Parts 1 and 2, you will have gained enough insight to start an optimization process. Part 3 introduces you to optimization using a set of actionable insights. This is merely an appetizer, and the handful of optimizations I present are not, by any means, the only ones you can pursue. But the ideas and attitude behind them can most definitely be copied and carry you down other optimization avenues. Think of this section as an idea catalog. One of the most important questions I tackle in this section is paid search optimization. Always keep your eyes on the money, eh?

I am truly grateful for the really nice endorsements I received from my industry peers, here is Eric and Bryan:

“In Yahoo Web Analytics Dennis Mortensen manages to do the impossible by adding real value to our knowledge of web analytics in an already crowded market. His clear language and excellent examples make this book required reading for any web analytics practitioner interested in extending their use of freely-available tools. Dennis is one of the best and brightest in the web analytics industry and Yahoo Web Analytics reinforces that with every page.”

Eric Peterson,
Eric T. Peterson, author, Web Analytics Demystified

“As the individual who drove the initial development of Yahoo!’s Web Analytics tool, Dennis managed to conquer mind-numbingly complex issues by presenting them in a simple and useful way. It’s no wonder that he did it again with his Yahoo! Web Analytics book.”

Bryan Eisenberg,
NY Times Bestselling author of Call to Action & Always Be Testing and cofounder of FutureNow Inc.

See you in San Jose for Emetrics and especially Web Analytics Wednesday tonight.

Cheers :-)
@dennismortensen

Yahoo! Analytics
Tracking, Reporting, and Analyzing for Data-Driven Insights
ISBN: 9780470424247, spring 2009, Dennis R. Mortensen

The name is of course subject to change dependant on branding decisions and parts of the feature set are also dependant on choices we take over the next months. The planned chapter outline is:

Chapter 1 – Getting started
Chapter 2 – Content and advanced conversion tracking
Chapter 3 – Enterprise Campaign Tracking
Chapter 4 – Merchandizing tracking and reporting
Chapter 5 – Advanced instrumentation
Chapter 6 – Working report results
Chapter 7 – Customize report results
Chapter 8 – Using basic reports as templates for customization
Chapter 9 – Using dashboards
Chapter 10 – Distinctive reports and usage
Chapter 11 – API Usage
Chapter 12 – Paid Search analysis and optimization
Chapter 13 – Form analysis and optimization
Chapter 14 – General content analysis and optimization
Appendix 1 – API
Appendix 2 – Dashboard Examples
Appendix 3 – Certified Agency Partners

Cheers .. have a great weekend and back to work :-)