What and how to measure Online Finance websites

posted by Dennis R. Mortensen
Saturday, December 15, 2007
Bookmark: What and how to measure Online Finance websites

In today’s competitive marketplace, the Finance and Banking industry is bound to establish a strong online presence and to conduct marketing activities that will enhance customer experience and support lead generation and cross-selling activities.

But as always - there MUST be a set of measurable KPI’s that are strongly aligned to ones business objectives, like any other organisation that operates with the web being a channel of theirs. Hereby concluding that KPI’s are meant to be acted on and not just reported on. Therefore I suggest optimizing towards the following two business objectives.


Online Finance business objectives:
  • Customer Acquisition
  • Reduce Interactions Cost

Success in customer acquisition can be calculated by considering the number of accounts applied for by new customers. In addition, existing registered customers may add new account types to their profiles – perhaps as the result of a specific campaign. The number of loan / credit card / account application forms downloaded (if this is the means of registration as opposed to a fully online application) will also indicate customer interest. Loan / credit card pre-approvals can also be a means to evaluate the success of a campaign or a site content update. Finally, interest in products and services can be gauged by the number of visitors searching for agent information or bank branch locations

For tactical decision-making, you need to break these strategic indicators down into manageable segments and analyze their performance by - for example - geography or property, in order to understand how well each is contributing to the overall result; or, assess them by traffic sources and marketing channels to see where you should direct your marketing budget.

But, let me outline a set of leading KPIs which will enable us to gauge the effectiveness of online initiatives and help us steer a Online Finance website in the right direction:


Online Finance Customer Acquisition KPI’s:
  • Account sign-up
  • Addition of new accounts
  • Application downloads
  • Pre-approvals
  • Locate an agent

Online Finance Interaction Cost KPI’s:
  • Average cost per interaction
  • Self-service visits
  • Response (Emails, Calls etc.)
  • Web % of customer interactions

Making the above objectives the core of your Web Analytics strategy and paying attention to these KPIs will give you an advanced level of insight and trigger the most effective changes to your web property.

You can find a complete and in-depth PDF version of our inputs for Best Practices for Online Finance industry here:




DOWNLOAD GUIDE
(4 page commercial version 617K PDF)




N.B.
This is the fourth post in a series on “What and how to..” measure a specific industry. You might find the previous posts interesting:

- What and how to measure Online Travel and Hospitality websites
- What and how to measure Social Networking websites
- What and how to measure Media and Content websites

Labels: , , ,

What and how to measure Online Travel and Hospitality websites

posted by Dennis R. Mortensen
Saturday, October 13, 2007
Bookmark: What and how to measure Online Travel and Hospitality websites

In today’ multi-channel marketing world, the Web is quickly becoming not only the first “point of contact” with an overwhelming majority of travel and hospitality customers but also a key tool in achieving incremental growth and competitive advantage. What’s more, an effective Online Marketing strategy in travel and hospitality plays a crucial role in establishing interactive relationships with customers and utilizes all channels available on the Internet.

To gain advantage in this highly competitive industry and win customer loyalty, travel and hospitality website owners need insight into:



  • performance of their online business across customer segments, markets, properties, packages, routes and destinations
  • effectiveness of their online marketing initiatives by traffic source, online channel, advertising partner or individual campaign
  • success of their e-CRM efforts in terms of customer satisfaction, retention and loyalty
But as always - there MUST be a set of measurable KPI’s that are strongly aligned to ones business objectives, like any other organisation that operates with the web being a channel of theirs. Hereby concluding that KPI’s are meant to be acted on and not just reported on. Therefore I suggest optimizing towards the following two business objectives.


Online Travel and Hospitality business objectives:

  • Revenue
  • Profit margin growth

These are determined by a number of indicators, the most important being:

- Volume of bookings (total number of bookings)
- Bookings (sales) conversion rate (number of bookings/number of visitors to site)
- Average booking value (booking revenue/number of bookings)

For tactical decision-making, you need to break these strategic indicators down into manageable segments and analyze their performance by - for example - geography or property, in order to understand how well each is contributing to the overall result; or, assess them by traffic sources and marketing channels to see where you should direct your marketing budget.

But, let me outline a set of leading KPIs which will enable us to gauge the effectiveness of online initiatives and help us steer a Online Travel and Hospitality websites in the right direction:


Online Travel and Hospitality KPI’s:

  • Bookings conversion rate
  • Average booking value
  • Look-to-book ratio
  • Top Geography and Demography
  • Return on Ad Spend (ROAS)

 

Online Travel and Hospitality optimization opportunities:

  1. Visitor profiling and segmentation in Travel and Hospitality.

    Knowing your visitors is an extremely important consideration for the success of your Web site or online marketing strategy. Addressing your key audiences and providing them with relevant information is one of the key aspects of any travel and hospitality site. If your site does not speak directly to each of these audiences, you will lose most of them to the competition.

    Segmentation can help in the analysis and understanding of how important groups of people use the site by looking at the page-by-page activity of the group without being distracted by activity from other types of users. Some of the key criteria for segmentation would be:

    - Demographics
    - Traffic Sources and channels
    - Activity and Navigation patterns
    - Custom built segmentation criteria

    Opportunity: Target the right groups of visitors with the appropriate marketing message, adapt content to users’ preferences and improve usability to fit your visitor’s browsing behaviour.

 

You can find a complete and in-depth PDF version of our inputs for Best Practices for Online Travel and Hospitality here:


DOWNLOAD GUIDE
(4 page commercial version | 754K PDF)



 

Labels: , , ,

Web Analytics Report Surfing and how to avoid it

posted by Dennis R. Mortensen
Monday, September 17, 2007
Bookmark: Web Analytics Report Surfing and how to avoid it

I introduced a term called “Report Surfing” a while back - to explain an unfortunate behaviour in the usage of Web Analytics tools and one of the greatest sins one as a Web Analytics practitioner can do!

Reporting Surfing explained as in; one logging in to your e.g. IndexTools or Omniture account and browse the canned reports (such as #visit, most popular pages, top 10 referrers, perhaps even a scenario) from top to bottom. With no real agenda other than looking at the reports.

I inexhaustible preach methods on how to avoid this, in particular because clients utilizing a web analytics tool in that manor will get little to no return on their investment. So...


How to avoid Web Analytics Reporting Surfing:
Ask yourself three business related questions that you would like answered -- BEFORE -- you open up your web analytics tool. Then try to answer those three questions through your tool using anything from standard reports, customs reports, filters, segments and other tool functionality.


Example - Business related question: “Are my recent SEO initiatives paying off?
This is a fair question from a marketing manager who just hired Rand Fishkin :-) or any other SEO authority to optimize their organic efforts. But it also comes clear - that even before opening up the web analytics tool one would have to debate / think about HOW to answer this.

- What is the period in question?
- What is the baseline index?
- How do we define “paying off”?
- How do we measure success (traffic, ranking, conversions or)?
- What are the success and failure thresholds (targets)?
- If any specific search phrases stand out, should they get reported on?
- What was the cost of the initiative and where is this data coming from?
- Did the initiative end or are we reporting on the progress?
- What do the manager expect, a simple YES/NO or a detailed report for him to conclude on?
- Should you provide suggestions for actions on how to improve or not?
- Etc..

Keep adding to the list. NOW! we are analysts and not just report surfers! Doing this exercise (asking a business related question beforehand), you avoid the trap of surfing useless reports for an hour every second day!

.. and NOW - off to bed to listen to one off my Bill Hicks shows.

N.B.
On the same subject: Web Reporting vs. Web Analysis

Labels: , ,

Client Pains with Web Analytics (PDF)

posted by Dennis R. Mortensen
Monday, August 6, 2007
Bookmark: Client Pains with Web Analytics (PDF)

Today Manoj, over at web analytics world, released a free PDF - where he asked some of the top analytics experts (as he so nicely put it) what topics surrounding web analytics their clients found most troublesome. Along with the issues they provided solutions to help remedy the pains.

Analysts offering their insight and wisdom included:
  • Eric Peterson
  • Anil Batra
  • Jason Van Orden
  • Justin Cutroni
  • Marshall Sponder
  • Gary Angel
  • Akin Arikan
  • Dennis R. Mortensen
  • Avinash Kaushik

I am of course happy that I could add my take on the issue to the report and I suggest you go download the PDF -- it is an easy read -- and worked perfect for my commute home today. Find my answer to the question below:

- - - - - - - - - - - - - - - - - - - - -

Client Pains with Web Analytics.
(Dennis R. Mortensen, COO IndexTools)

I think it is unfair to boil it down to one unique set of client pains. However; I think it is absolutely justifiable to confirm that clients (and I am saying this with my Vendor cap on) do have pains in deploying and finally operating web analytics to an extent where they actually do have a real return on investment. It would probably have been easier to list those elements of success that cannot be debated, but that was not the question! So here goes a characteristic client pain that might not be that obvious - and at the same time not really recognised as a pain to begin with (it is actually quite often, and wrongfully so, accepted as a web analytics tool choice failure).

Client pain:
The inability to differ between reporting and analysis and the impact of confusing the former as the end game - thus creating a clear disconnect between investment and use of the deployed web analytics solution.

I believe very strongly that one have to understand that reporting on any metric at pure face value within a very limited context is unsound and should not be confused with actionable insight from analysis! One should remember that:

  • Reporting is produced by tools
  • Analysis is done by people
  • Processes are deployed by organisations

Concluding the above - we see that solving a client pain of this magnitude – one actually have to employ not only people, but the right people and at the same time create very clear set of processes around ones web analytics efforts. Which is grand wording to a problem that needs a solution today. First task would be to acknowledge that you are in pain as an organisation and I suggest a honest evaluation of the following three statements:

  • Reporting does not require action (analysis without action is reporting)
  • Reporting does not relate to benchmarking (analysis within your own data silo resembles reporting)
  • Reporting is not a forward looking activity (analysis is rarely done from a retrospective viewpoint)

When you have acknowledged the pain (assuming it exist in your organisation) – then comes the long never ending continuous cure called web insight through web analysis!

Labels: , , , , ,

What and how to measure Media and Content websites

posted by Dennis R. Mortensen
Thursday, July 26, 2007
Bookmark: What and how to measure Media and Content websites

By media and content websites, I am talking about pure online media properties like CNET as well as companies (e.g. traditional newspapers like New York Post) who must somehow, either be in the midst of an involuntary transitioning of readers, from offline content consumption (their paper) to online content consumption (their website) – or in the fortunate circumstance that they managed to set up a business model that compliments both channels at the same time. (I am of course talking about any other website where the product is content – thus your typical affiliate website!)

Studies by analysts in general and in particular Jupiter Research concludes that - we are seeing an increased hunger for personalization and thereby a disaggregation of the website - and at the same time the emergence of an online-only audience who at the same time demand participation (social media as we konow it today).

Which makes me conclude on a progressive path and journey most media and content website have to take:
  1. Media
  2. Online Media
  3. Online Social Media
This seems straightforward and as understandable as in taking the newspaper (Media) and reprocess the content on a website (Online Media) and then throw in a couple of “post a comment” widgets (Online Social Media). I do hope that we all agree that is takes a lot more than that! ...and that a lot more is at stake. As online social media continues its striking invasion into the overall media landscape and seize valuable mindshare, particularly from the younger demographic, the degree to which a traditional media company move towards the final goal of social integration of its audience is rapidly becoming a proxy for its ability to survive the future.

If we partly agree on the above I think we also agree that It is simply NOT enough to just randomly report on the effects of this transitioning – in vague hopes of moving towards this goal of social integration. One have to accept that however sexy Online Social Media or even just your Online Media (your basic content website) sound, there MUST be a set of measurable KPI’s across all three steps from above - and they should very much be aligned to your business objectives.


Content websites business objectives:
  • Increase Advertising Revenue
  • Increase Subscriptions
Having in mind that I am allowing for a broad interpretation of the term “subscription” – the above clearly defines the business objectives for most Media and Content websites. Assuming that you agree with me, we then have the opportunity to define a set of specific KPI’s and accompanying important metrics to drive those objectives forward:


Content websites advertising revenue KPI’s:

  • Advertising Revenue
  • Visits per week
  • Ad units per visit*
  • Ads served*
  • Ad CTR
* The “Ad units per visit” KPI is a replacement for the old "page views per visit" as a way of indicating the size of your Ad inventory and the “Ads served” KPI is the actual number of revenue generating banners or other media type served in those units.

Remember, that when talking about these 5 important KPI’s (and no business should really have more than 5 KPI’s on a management level) – we are not just talking about a set of basic reports on their performance in retrospective – we are talking about collecting data on a granular level so that we can both report AND more importantly do analysis on these – by segmenting, slicing and dicing them any way imaginable.


Content websites subscription KPI’s:
  • Subscribers
  • Anonymous visitors to subscriber conversion rate*
  • Cost per new subscriber (CPA)
  • Subscriber churn rate
  • Articles viewed per visit
* "Subscribers" is not necessarily the same as or equal to that of an off-line subscriber, this could be something as loose as a RSS subscriber to something as tangible as an online paying subscriber (who get’s access to premium content by login and password).


Content Websites KPI control elements:
  • KPI Targets
  • KPI Indexes
  • KPI Competitive Intelligence
I am sorry to add to the list of tasks, but one simply have to create a credible target for every single content websites KPI that we discussed above (credible as in utilizing competitive intelligence to set realistic goals) so that there is a clear driver within the organization on where it is going. At the same time while working towards those targets one need to create a sensible content website KPI index that can be used when doing analysis for the KPI in question (sensible as in taking into consideration how the KPI fluctuates due to season, campaigns and other factors). Finally utilizing competitive intelligence to spot market opportunities for optimization and general KPI improvement.

NOW - having clear business objectives, 10 well defined content website KPI’s and a set of KPI control elements in place - we get the opportunity to put all this to work, as in nobody should go to the extent of setting up a framework as the above without aggressively pursuing a performance improvement in ones business objectives. It's really not worth measuring something if you cannot or will-not take any action on it, and to be worth taking action on, it has to have some kind of measurable monetary value. There is no magic 5 points to optimize, but given the framework as described above one would have an unlimited number of opportunities to make more money! - find a couple of suggestion below:

But before starting to think about optimization (however basic) – you need to make sure that the Web Analytics tool that you have deployed can collect and not only report on the mentioned KPI’s – but more importantly: That you are given the technological opportunity to do analysis!


Content websites optimization opportunities:
(7 basic and to some extent obvious suggestions)

My first comment is that before trying to optimize anything for the better - some sort of potential monetary valuation should be put on the effort as in; are we looking to increase revenue EUR 10.000 per year or are we looking to increase revenue EUR 2.000.000 per year and with what certainty can this be determined.

As an example, let’s say that we have 15 Ad units served per visit and that we have an Ad unit CPM value of EUR 3 and that we have 1.000.000 visits per week (notice how all of these are KPI’s) – this leaves us with a weekly Advertising Revenue on = EUR 45.000 (1.000.000 visit * 15 Ad units per visit / 1000 (CPM) * 3 EUR). The optimization opportunity in question estimates that we can increase the number of Ad units served to 18 by adding a small additional unit AND that there will be a 0.30 EUR decrease in Ad unit CPM value due to this (notice that we utilize our KPI’s index here). Therefore a monetary opportunity on EUR 3600 per week or in perspective approximately an opportunity per year of an additional EUR 188.000 in revenue!

Here goes is my 7 basic and obvious suggestions (very specific and less strategic though) on what you should look into when optimizing a content website:

  1. Segment articles based on ad unit placement to create insight on what ad unit placement drive the biggest Ad CTR KPI without decreasing the Ad units per visit.
    Opportunity: Increase Advertising Revenue by optimized ad unit size and placement.

  2. Segmenting the Anonymous visitors to subscriber conversion rate KPI by campaign channels (in my world ALL incoming traffic should be part of a campaign, this including SEO activities) to find and focus on better performing channels and campaigns.
    Opportunity: To increase the Anonymous visitors to subscribers conversion and thus if visits are constant the number of new subscribers

  3. Reporting on the Subscriber churn rate KPI over a given period and drill through (on spikes) to articles (or specific HTML pages) - to determine and create insight of less compelling content. Although it is nearly impossible to determine why subscribers end their relation with you (as basic as stop coming to the Website) – it is still possible over time with repeatedly insight on the same fact to drive a conclusion on what type of content is badly chosen.
    Opportunity: Decrease the Subscriber churn rate KPI and thus increase the numbers of total subscribers.

  4. Setting up basic external campaign tracking on ALL channels from PPC to Email to affiliate networks and compare not only channels, but compare campaign to campaign across channels, sorting out high performers and low performers to Decrease the Cost per Subscriber (CPA) KPI.
    Opportunity: To decrease the average cost per new subscriber and thus an the opportunity to re-invest that into new external campaigns

  5. Utilizing the articles viewed per visit KPI together with the Visual Overlay tools from your Web Analytics package to define Homepage content blocks -- not unique articles -- (this works for content category front pages as well). These content blocks typically on e.g. a newspaper website being; “Main article”, 2 sets of “Sub articles” and a list of “Most popular articles” and so forth. Then determining a CTR (Click trough rate) baseline for each of these content blocks – Now having an Index on the expected click through on e.g. the main article on the homepage on, say, 14% - any underperforming articles (as compared to the index and thus below 14%) can be replaced.
    Opportunity: Increase the Articles viewed per visit by pulling underperforming articles away from prominent positions.

  6. Tracking ALL your Internal Promotions (essential campaign tracking for banners or links on your site promoting other sections on your site) and then segmenting your visitors by these Internal Promotions and looking at the Ad units per visit KPI – you will to begin with, find out which internal promotions actually drive more Ad units (potential revenue) and more importantly which internal promotion does not work and at worst drive DOWN Ad units per visit according to your index.
    Opportunity: Increased Ad inventory by better internal promotions.

  7. Try to increase the “quality” of your Ad units per visit KPI by using External Data Sources and relate your CRM user database to the Member-ID tracking done by your Web Analytics package (this will give a plethora of opportunities), but one obvious is generating a simple report by content group and thereby get insight into the demographics and sociographics for every specific content group, whether that be sports, politics or tech.
    Opportunity: Increase the Ad unit CPM value by demanding higher pricing for better targeting and at the same time expect higher Ad CTR
Even though these 7 basic suggestions (and both you and I could come up with 50 others) somehow seem simple – then I am confident that anybody running a content site would be far better off looking at and concentrating on the KPI’s framework described.

My overall conclusion in this post about media and content websites is that; one simply cannot be successful -- in the long run – as a media company moving towards embracing Online Social Media, if not one or more activities around enterprise optimization analysis is deployed. I hope that the above somehow indicated and inspired which direction to go in.

N.B.
I recently wrote a post about what and how to measure Online Social Media websites, this including 7 online social media optimization opportunities (which I suggest you take a look at – should you be on the path towards becoming an Online Social Media). You will see that the KPI’s in that post to some extent are a progression of the KPI’s for Media and Content websites. Which is of course only natural and expected.

Labels: , , , , , , ,

What and how to measure Social Networking websites

posted by Dennis R. Mortensen
Sunday, July 15, 2007
Bookmark: What and how to measure Social Networking websites

By social networking websites, I am talking about the likes of Facebook, Myspace, Linkedin, Xing and StudiVZ (and of course any other web property who are engaged in Social Media activities – like any decent blog you know).

Social Networking is the prime headline for Web 2.0 and highly successful so far. This fact only leading towards an even greater responsibility in trying to measure ROI on ones social networking activities, especially as it is somehow agreed upon that only a limited number of players can win (having Metcalfe's law in mind). Remember how quickly Friendster somehow lost momentum, I bet you that they did not deploy detailed analysis, at the level required in this game, within their organisation! – if so, they would have spotted the decreased user engagement and its relating metrics in time.

First I would like to conclude that one have to accept that however sexy social networking is as a trade, there MUST be a set of measurable KPI’s that are strongly aligned to ones business objectives, like any other organisation that operates with the web being a channel of theirs. Hereby concluding that KPI’s are meant to be acted on and not just reported on. Most of the social networking sites that I have been working with somehow work to optimize the following two business objectives.


Social Networking business objectives:
  • Increase Advertising and/or premium member-ship Revenue
  • Increase User Engagement

Now that we have clear business objectives defined – and some that in my humble opinion are pretty much spot on in regards to the overall success of any social networking business. Assuming that you agree with me, we now have the opportunity to define a set of specific KPI’s and accompanying important metrics.


Social Networking advertising revenue KPI’s:
  • Advertising Revenue
  • Visits per week
  • Ad units per visit*
  • Ads served*
  • Ad CTR

* The “Ad units per visit” KPI is a replacement for the old "page views per visit" as a way of indicating the size of your Ad inventory and the “Ads served” KPI is the actual number of revenue generating banners or other media type served in those units.

Remember, that when talking about these 5 important KPI’s (and no business should really have more than 5 KPI’s on a management level) – we are not just talking about a set of basic reports on their performance in retrospective – we are talking about collecting data on a granular level so that we can both report AND more importantly do analysis on these – by segmenting, slicing and dicing them any way imaginable.

In the end for any Social Network to succeed and survive it’s users have to be engaged with the website - and that engagement actually turns into positive revenue as they spend more time, take more action and convert on a higher rate than non-engaged users. Concluding that we are looking at a win-win-win situation for the user, the social network and finally it’s advertiser. We of course have to agree on what “user engagement” is to begin with and inspired by Eric Peterson I would say:

Social Network User Engagement is an estimate of the degree and depth of visitor interaction on the website against a clearly defined set of measurable goals.” – and with that in mind we can define our KPI’s.


Social Networking user engagement KPI’s:
  • User Engagement*
  • Anonymous visitors to members conversion rate*
  • Active member length
  • Time since last login
  • Total time spent on site

* The “User Engagement” KPI is a custom session metric designed and calculated from a set of basic metrics such as for example; pages viewed, time spent on site, time since last login, comments or other content submitted, subscribed to a feed or alert and so on – the calculation of this KPI is highly dependent on the structure of the Social Network in question). The “Anonymous visitors to members conversion rate” is very much a growth KPI that is used until the Social Network reaches its final plateau.

I think it is of the utmost importance (as in any other media company) to understand what benefits the advertiser and how he get the best possible ROI. Social Networks have the opportunity to create value for the advertiser far beyond the click -- if the Ad creative and Ad content showed allow this -- so it is also important to track the actions taken beyond the click (and in general for the website). Such accompanying social network user engagement action metrics like:

- Forwarded advertiser content
- Endorsed advertiser content
- Rated advertiser content
- ..and other obvious types of engagement with an advertisers content

As you can see the secondary audience is as important as the immediate audience and somehow one should be able to illustrate that value to ones advertisers - as in being able to increase revenue based on the fact that the advertiser gets proven value increase by word of mouth with the secondary audience derived from the immediate audience.

I also find it important that one set up specific custom fields for tracking such accompanying social network user engagement metrics like:

- User profile completion level
- Premium member level

Both the accompanying set of metrics for advertiser and user engagement are super specific - so the above two small lists are only a couple appetizers. More importantly how do we “work” the KPI’s


Social Networking KPI control elements:
  • KPI Targets
  • KPI Indexes
  • KPI Competitive Intelligence

I am sorry to add to the list of tasks, but one simply have to create a credible target for every single social networking KPI that we discussed above (credible as in utilizing competitive intelligence to set realistic goals) so that there is a clear driver within the organization on where it is going. At the same time while working towards those targets one need to create a sensible social networking KPI index that can be used when doing analysis for the KPI in question (sensible as in taking into consideration how the KPI fluctuates due to season, campaigns and other factors). Finally utilizing competitive intelligence to spot market opportunities for optimization and general KPI improvement.

NOW - having clear business objectives, 10 well defined social network KPI’s and a set of KPI control elements in place - we get the opportunity to put all this to work, as in nobody should go to the extent of setting up a framework as the above without aggressively pursuing a performance improvement in ones business objectives. It's really not worth measuring something if you cannot or will-not take any action on it, and to be worth taking action on, it has to have some kind of measurable monetary value. There is no magic 7 points to optimize, but given the framework as described above one would have an unlimited number of opportunities to make more money! - find a couple of suggestion below:


Social Networking optimization opportunities:
(7 basic and to some extent obvious suggestions)


My first comment is that before trying to optimize anything for the better - some sort of potential monetary valuation should be put on the effort as in; are we looking to increase revenue EUR 10.000 per year or are we looking to increase revenue EUR 2.000.000 per year and with what certainty can this be determined.

As an example, let’s say that we have 15 Ad units served per visit and that we have an Ad unit CPM value of EUR 3 and that we have 1.000.000 visits per week (notice how all of these are KPI’s) – this leaves us with a weekly Advertising Revenue on = EUR 45.000 (1.000.000 visit * 15 Ad units per visit / 1000 (CPM) * 3 EUR). The optimization opportunity in question estimates that we can increase the number of Ad units served to 18 by adding a small additional unit AND that there will be a 0.30 EUR decrease in Ad unit CPM value due to this (notice that we utilize out KPI’s index here). Therefore an monetary opportunity on EUR 3600 per week or in perspective approximately an opportunity per year of an additional EUR 188.000 in revenue!

Here goes is my 7 basic and obvious suggestions (very specific and less strategic though) on what you should look into when optimizing a social network:

  1. Segment users based on their community activity (this could be anything from viewing pictures or videos to commenting and participating in forums, this is essentially all the defined actions in your web analytics package) - and list this according to the Ad CTR KPI and comparing the different segments to your Ad-CTR index. This giving you an opportunity to do better internal promotions (as basic as a link in the right place) for better converting content (that above your index) on poorer performing content pages.
    Opportunity: To increase the Ad CTR and thus the Ad unit CPM value.

  2. Segmenting the Anonymous visitors to members conversion rate KPI by campaign channels (in my world ALL incoming traffic should be part of a campaign, this including SEO activities) to find and focus on better performing channels and campaigns.
    Opportunity: To increase the Anonymous visitors to members conversion and thus if visits are constant the number of new members

  3. Perform single-page FORM Analysis (tracking every single FORM field) on the sign-up page and cross-reference this to the Anonymous visitors to members conversion rate KPI - getting to know which fields make Anonymous visitors abandon the sign-up form.
    Opportunity: To increase the Anonymous visitors to members conversion and thus if visits are constant the number of new members

  4. Create a custom report with the metric Time since last login KPI and a grouping by entry pages. Filter out all user who have visited the site the last 5 weeks so that you end up with a list of somehow disengaged users who returned to the site. The most successful entry page for disengaged user should be the one heavily used in e.g. Email Marketing. (A common page on this list is the “Your Friend x added you as a friend”).
    Opportunity: To decrease the Time since last login and thus increase the numbers of Visits per week and thereby increase Ads served and finally increase Advertising Revenue as a result. At the same time increasing Active member length.

  5. Run an out of the box standard Action Participation report and add the User Engagement KPI – creating an easy an instant understanding of what content triggers a passive visitor to become a active contributing user and member of the community. As of now you probably do not really know whether the highly engaged users connect to the community by watching user submitted videos, read gossip, chat with friends or what have you.
    Opportunity: To increase the User Engagement compared to our index and thus we typical see an increase in Visits per week and thereby an increase in Ads served and finally increased Advertising Revenue as a result.

  6. The Total time spent on site KPI is not only important because Nielsen//NetRatings has officially replaced "page views" with the "time spent" metric for their official ranking -- whether you agree with Nielsen or not -- it is still very important to know which content groups that users spend their time on - the most valuable resource they have. Create a report that shows Total time spent on site divided per content group and conclude the individual standing on these content groups weighed against your competitors using competitive intelligence. Not as a relative result, but as in looking at the fact that if a user is willing to spend 15 minutes watching user generated videos in general, this is the actual number to target). Optimizing content groups that deliver below industry standard time consumption.
    Opportunity: Increase Total time spent on site and thus an increase in Ads served and finally increased Advertising Revenue as a result.

  7. Try to increase the “quality” of your Ad units per visit KPI by using External Data Sources and relate your internal user database to the Member-ID tracking done by your Web Analytics package (this will give a plethora of opportunities), but one obvious is generating a simple report by content area and thereby get insight into the demographics and sociographics for every specific content area (network of people).
    Opportunity: Increase the Ad unit CPM value by demanding higher pricing for better targeting and at the same time expect higher Ad CTR

..and a bonus optimization comment/suggestion inspired Jim Novo on why using the “User Engagement” KPI on a management level can save your business (or Job). Let say you have a Social Network for students and the number of members and total number of actions in general is increasing (up and to the right), but the “User Engagement” KPI and the related “Time since last login” is decreasing in value more rapidly – then at some point the disengaged users overpowers the increase in members and the website starts to spiral downward in volume. One can predict this downward spiral will happen by monitoring these KPI’s (even as a basic management Alert in your Web Analytics tool) so one can try to take action before it's too late. Most people look at volume as a measure of popularity and growth and by the time volume starts dropping, it is already to some extent too late to save the website. The audience has already disengaged. The user engagement drops off before the traffic volume does, and that is why user engagement is predictive and directly addresses future value.


Even though these 7 basic suggestions + bonus comment (and both you and I could come up with 50 others) somehow seem simple – I am confident that anybody running a social network would be far better off looking at and concentrating on the KPI’s framework described.

My overall conclusion is that one cannot be successful -- in the long run -- running any social media activities if not one or more activities around enterprise optimization analysis is deployed - and I hope that the above somehow indicated and inspired which direction to go in.. sorry for the partly long post (essay) :-)

Labels: , , , , ,

Web Reporting vs. Web Analysis

posted by Dennis R. Mortensen
Saturday, June 9, 2007
Bookmark: Web Reporting vs. Web Analysis

I believe very strongly that one have to understand that reporting on any metric at pure face value within a very limited context is unsound and should not be confused with actionable insight from analysis! – To wrap up that statement I tend to conclude that:

  • Reporting is produced by tools
  • Analysis is done by people
  • Processes are deployed by organisations

Which leads us to following daring fact:

The right tools +
The right people +
The right processes +
= Data Driven Organisation

Watch my presentation on the matter and find out (or at least watch my take on it) how you tell the difference between reporting and analysis.



Download the PDF here: IndexTools-Dennis-Reporting-vs-Analytics.pdf
... OR ask me to do a presentation on the subject for your organisation. :-)

The conclusion is worth repeating - analysis is all about:

  • Developing KPI’s
  • Creating Insight
  • Taking action

I would like to recommend the following great and in depth posts about the subject:

It does not get any better than that!

Labels: , , , , , , ,