Analytics for Facebook Fan Pages and Tabs with Unica

One of the most exciting developments in web marketing over the past twelve months has been that the website is now considered only one of multiple components of a company’s web presence. Among the many other web presences that companies have these days is often a Facebook Fan page such as the one from Unica seen in the image below.

Fan pages can include custom HTML content on custom tabs such as the tabs “MIS2010” for Unica’s upcoming customer conference and “Save Ned” for an innovative social media campaign of ours.

These things take effort to create. So, naturally you want to measure usage and behavior to help you improve usability and ROI.

Facebook page 8 - Unica MIS2010 custom tab

To that effect, Unica announced the addition of innovative social media marketing capabilities for users of our online marketing solutions this week.

And among these additions is the Solutions pack for Social Media Analytics for Unica’s web analytics solution, NetInsight. Part of the solutions pack addresses tagging of Facebook fan pages and custom tabs for tracking with Unica NetInsight.

More specifically, Unica NetInsight, NetInsight OnDemand, and Interactive Marketing OnDemand customers can:

  • Report on usage trends for their Facebook Fan Page’s Wall tab
  • Analyze usage of any custom HTML / FBML tab that they create
  • Understand interaction within custom tabs, e.g. the clicking of FBJS driven interactive buttons or links

Facebook page 10 - Facebook fan page trends

(click to enlarge)

Users can also create engagement funnel reports such as the following example. This shows visitors interacting with the Fan Page Wall vs. those who proceed to interact with various tabs vs. those who interact with dynamic content within tabs. An example of a custom tab with dynamic content is for instance the Save Ned tab on Unica’s Facebook Fan Page.

Facebook page 9 - Unica Save Ned custom tab

Below is an example of such a funnel. (not actual Unica data from Save Ned)

Facebook page 11 - Facebook fan page funnel

(click to enlarge)

For more information about the Solutions Pack for Social Media Analytcis, Unica customers can contact their account managers.

5 Ways to Increase Returns from Search Marketing (SEM)

The team at Online Marketing with RSS Ray kindly invited me to present on BrightTALK yesterday on five ways to increase returns from SEM.

This was a welcome opportunity for me to detail my recommendations for how to optimize search engine marketing from end-to-end rather than focusing only on search bid management and SEO.

If you are new to online or search marketing, you will hopefully find this a useful intro to help you plan your optimization efforts. If you are already experienced in online marketing, especially SEM, then the only useful piece for you in this presentation will be a reminder that SEM optimization requires you to take a complete view.

Otherwise, the weakest link in the chain will break your ROI.

A BrightTALK Channel

Web Analytics Highlights and Semphonic ThinkTank at Unica's MIS 2010, May 16-19

Watch this short video to learn about the unique highlights that web analysts and managers can expect at Unica’s customer conference, the Marketing Innovation Summit 2010. Don’t miss especially the Semphonic Think Tank workshops to be held on the Wednesday of the conference.

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Unica MIS 2010 – Highlights for Web Analytics Managers from Akin Arikan on Vimeo.

Go to the Unica MIS 2010 microsite for the full conference agenda and to register. You can also find the full course descriptions for the Semphonic Think Tank workshops there and register along.

Q&A with Eric Siegel on Predictive Analysis using Web Analytics Data

Last Wednesday (March 31st) Eric Siegel presented on 5 Ways of leveraging predictive analysis using web analytics data.

Registrations and attendance were very strong which isn’t surprising because the WAA”s yearly survey had recently shown that predictive analysis is a top question on which web analysts seek to get more education.

You can access the recording of the webcast here.

Meanwhile, Eric was nice and speedy enough to answer all the questions that came in during the webcast. You can access the Q&A on the new Unica blog.

Check this Q&A blog post out even if you don’t have enough time to watch the webcast.

By the way, did you know Unica had a blog? It was recently restarted and is on fire with lots of contributors blogging across the company now.

Thanks much to Eric Siegel for a super insightful webcast and Q&A. If you had any doubts on whether predictive analysis makes sense on web analytics data, then be sure to watch this webcast to open your eyes.

Is Web Analytics 2.0 Right to Discourage Predictive Analysis on Web Data? I don't think so.

The great Eric Siegel is going to speak in a webinar on March 31st on the topic of predictive analytics for online applications using web analytics and other data as input.

In web analytics we always think that predictive analysis is the natural next step and will do great things for us. But most of us, when asked, have a very hard time explaining what exactly predictive can do. Avinash Kaushik in his (otherwise groundbreaking and highly recommendable) book Web Analytics 2.0 (and earlier on his blog) almost downright discourages predictive analysis on web data.

But, this is one area where I think Avinash’s opinion is not as balanced as it should be.

Predictive analysis folks such as Neil Mason and Eric Siegel and myself have made various recommendations in articles and posts in the past to showcase opportunities from predictive analysis. Of course, Eric Peterson too has aimed to describe the possibililties in his paper “The coming revolution…” 

 

But come and see the webinar with Eric Siegel so you can make up your own mind.

… 

P.S.: I highly enjoyed Avinash’s web analytics 2.0 book though and will hope to post a critique  in coming weeks.

Multichannel Marketing, 2 years later: The multi-online channel revolution (part 3/3)

In part 1 of this series I summarized the crossroads at which digital marketing has arrived in 2010. Then part 2 explored the surprising advances that turned database marketing into a digital marketing discipline.

Now it is time to look at online marketers.

Back in 2006, my colleagues and I at Unica were still joking about our web analytics competitors’ understanding of multichannel marketing. Back then it seemed much like a scene in the movie Blues Brothers where they would go into a bar to be told by the bar owner that he was interested in all kinds of music:

 ”Country and Western”

Similarly web marketing back then was multichannel only in a sense similar to:

“Google and Yahoo”.

 

The old web marketing

In the growth years of Internet usage, web marketers’ focus was centered on their own website and biased towards acquiring visits to the website through advertising.

Rocket science algorithms would optimize advertising spend automatically, e.g. with automated search bid management. Rocket science testing solutions would generate and evaluate thousands of multivariate versions of the same web page to test which one is best at persuading visitors.

But any thought of focusing on the customer was deprioritized.

For example, I recently called my iPhone carrier to say that I was thinking about cancelling the service since reception at my home was unusable. Yet, when I logged into my online account afterwards the website made no attempt to retain me or win me back.

Instead, it was still busy cross-selling me stuff.

Web marketing in 2010: Focus on individual level data for targeting and accurate ROI calculations

It wasn’t due to learning from more tenured marketing colleagues that web marketers changed. After all, in 2010 the web vs. other marketing teams still remain frustratingly silo’d.

But the addition of new online channels has thrust greatness on the online marketer:

Mobile

Mobile is an inherently personal device. So, web marketers aren’t just treating it as a second website but looking into opportunities for more personalized dialog.

For example, San Francisco based GoodGuide’s iPhone application allows users to scan barcodes in the store to get information on a product’s environmental and social acceptability, as well as healthiness. But users can also set lists of favored and “avoid these” products in their GoodGuide account on the fixed Internet website. When you login to your account from the iPhone your favoreds and avoids become available to you.

It is hard to think of a more crunchy-granola (i.e. socially responsible) business than GoodGuide’s. And yet they have integrated individual level data across channels!

Not as an evil scheme, but as a service to their customers! And with opt-in, of course.

That is very promising!

Behavioral Advertising and Email

While ads and email were mass marketing channels, they are now increasingly becoming an extension of a company’s website.

  • The ads that you see when visiting e.g. a newspaper’s site can be targeted to you based on your prior behavior on the advertiser’s website. Many ad networks exist that, for example, help re-market to individuals based on products they abandoned or segments for which they were profiled.
  • The emails that you receive can show personalized content and promotional offers (e.g. coupons) that were dynamically selected for you based on your click behavior on the website. For example, one Unica client in Europe is sending more than 1 million unique email variations per month.

Advertisers

It is most unexpected, but another push to go from the aggregate to the individual level comes from advertisers.

Why?

As more marketing funds are shifting online, accountability is king. Media buyers want to take credit for influencing individuals that were exposed to ads even if they didn’t click on them. That requires integrating web and ad serving analytics at the level of individual ad viewers and website visitors.

Several analytics vendors, including Unica, make that possible now.

Social Media

Finally, social media pushed web marketers over the edge in their appreciation for multichannel integration with an eye towards individual level interactions.

  • Marketers are keen to learn which customers have interacted with their Facebook application even if there wasn’t a direct click-through to the website.
  • The Facebook API provides information on an individual’s social graph, i.e. their connection to other Facebook users.
  • Websites equipped with Facebook Connect can draw on Facebook authentication outside the Facebook.com domain. That means they can also draw on other Facebook API information in the visiting individual and include that in their analytics and behavioral targeting.
  • Advertising networks have become available that target ads to individuals based on their social graph, i.e. assuming that you are more likely to care about XYZ if your direct friend connections purchased XYZ.
  • Social CRM has become a buzzword and refers to various online interactions with individual customers. For example web marketers are keen to see that disgruntled Twitterers receive a direct response to turn them around. Meanwhile fans should get encouraged to keep spreading the word.

There is still a missing link for integrating CRM with Social CRM in terms of mapping individuals’ identities. However, vendors are already working on closing that gap.

  • Social media monitoring tools such as Radian6 list together each individual’s blog vs. Twitter vs. Facebook identities if they can detect them.
  • Vendors such as RapLeaf have begun offering social data append services for CRM databases.

Summary

  1. Bottom-line, the web marketing world is in the midst of an onsite-offsite integration era.
  2. That has required web marketers to move beyond aggregate level data and think about data at the level of individuals.
  3. With that, they now share with direct marketers an appetite for individual level click data for the purposes of analyzing and behavioral targeting.
  4. This happened at a time when technology has become increasingly integrated between analytics, email marketing, and behavioral targeting.
  5. Online-offline integration is not main-stream yet. But never before have web and direct marketers been so parallel in their multichannel goals and thinking.

I am excited for 2010.

Multichannel Marketing – 2 years later: Digital is at a crossroads now (part 1/3)

In the two years since publishing the Multichannel Metrics book, the face of marketing has changed drastically.

We are entering a critical crossroads in 2010.

By 2013, will we look back and find that this was the year when marketers from online and other marketing teams first realized how similar their goals have become and took steps towards integration across camps?

Or will we look back and find that the camps remained ignorant of each other and instead set in stone silo’d technologies making integration more difficult than ever? 

 

What do you mean, web and direct marketers’ goals are aligned now?

Marketers have had no choice.

Greatness has been thrust upon them!

Direct marketers

  1. Have seen marketing dollars beginning to shift from offline to online
  2. Finally see clearly that a large portion of interactions with their customers has moved online. For example, according to anecdotal feedback from several older European banks, 25% to 50% of their clients use online banking now. Some financial institutes acquire the majority, if not all, customers online.

Online marketers

  1. Have had to abandon their silo’d, website-centric thinking because their websites are now only one component of their total web presence. Other presences include social media, mobile sites, behaviorally targeted ads and personalized emails.
  2. They may continue to treat the offline as a step child for another couple years. Yet, they are already adopting multi-online-channel marketing practices for the purpose of integrating all these web presences.
  3. The latter has required them to move from their traditional focus on aggregate level metrics and dashboards to looking at data about individuals across website, mobile, social, and advertising. This experience with individual level data will also make it easier for them to integrate their customers’ offline interactions down the road.

As a result, both online and direct marketers are now pursuing multi-channel data integration at the level of individual prospects and customers. Both camps do this for the purposes of

  1. behavioral targeting,
  2. better understanding of marketing ROI.

 

The technology gap is closing

While all vendors talked the talk for 360 degree views, the reality was different. Web analytics data was far removed from a direct marketers’ access.

  • After all, the data are owned by the web team who couldn’t care less about individual level data at that time.
  • The data are also hosted remotely at SaaS based web analytics vendors that prioritized reporting and good looking charts over granular data. As a result, data feeds (while available) would come with no SLAs. A feed might or might not arrive at the agreed time of night. That made it too unreliable for driving interactive (let alone real time) marketing programs.

Meanwhile, web marketers could integrate analytics based targeting into email marketing only by bridging the gap between several vendors and paying for integration services.

These technology gaps are now increasingly closing.

  • Omniture is positioning its online marketing suite along with integrations with ESP partners through its Genesis program.
  • Unica is positioning both
    • Its eMessage and Interact products for email and web personalization integrated with Unica’s web analytics and campaign management products for enterprise clients
    • Its recently launched Interactive Marketing OnDemand product where SaaS based customers use web analytics, email, and web personalization within a single application and UI.

 

The crossroads

This alignment of methods, goals, and technology represents our arrival at a crossroads.

(note added on March 12th): Maybe the word alignment is too much said.  But methods, goals, and technology are now more parallel and similar than ever.

But will we leave these crossroads into an integrated future or will we set in stone two silo’d multichannel worlds between online and direct marketing teams?

That is the big question.

In part 2 we will look at direct marketers vs. digital. Then in part 3 we will review where multichannel web marketing stands in 2010.

Stop acting like a loner, ‘cause web marketing optimization is a team sport!

I have to say, I am growing increasingly annoyed with the silo’d nature of the discussion that seems to still be dominating our web analytics industry.

We have been so silo’d that, for example, even something as adjacent to web analytics as audience measurement and its vendors (i.e. the comScore, Hitwise, Compete of the world) seem to appear more like second class citizens in our discussions. Meanwhile, 90% of the chatter among web analytics vendors, consultants, and bloggers seems to focus only on core web analytics topics and vendors.

A symptom that should give us pause is that most of our guru authors and bloggers – who are such rock stars to us web analytics people – are utterly unknown outside our little niche. Forget offline marketers, not even other online marketers know them!

Surely that isn’t because “the others” are all stupid and don’t understand performance optimization.

Honestly, I don’t know exactly why we seem to be such a silo’d breed. It is probably just a function of specialization in the workplace. Web analysts handle web analytics tools, multivariate testing, voice of customer, and maybe participate in behavioral targeting. But

  • Who owns audience measurement / competitive intelligence? Probably a shared function with marketing/PR?
  • Who owns social media monitoring? More often the “social media manager” or PR rather than the web analyst?
  • Who owns search optimization tools? SEO and PPC teams, of course. (And they too can be separated from each other in larger organizations)
  • Who owns email marketing? The direct or customer marketing functions.
  • Who owns ad servers and behavioral targeting networks? The online marketing or media team
  • Who owns site performance? IT
  • Who owns the replay stuff? Web developers?

If there is any way out of this strange situation it is probably to be found in embracing the different aspects of web marketing in a more balanced fashion instead of losing ourselves in increasingly nuanced web analytics details that seem esoteric and boring to people outside our niche.

Might we find bigger gains in 2010 by looking more for a breadth-first approach vs. continuing our deep dive?

Take search marketing as an example

The diagram below shows the search marketing funnel starting from potential visitors, i.e. users of the search engines (or their content networks). The search marketer aims to acquire them on site and then lure them deeper into the funnel to engage, persuade, and convert.

semfunnel1

The diagram then lists the different categories of marketing tactics and technologies that are involved in moving prospects through the funnel. Let’s take a deeper look at each category.

1. Audience measurement and influence

This category includes more items than one might think at first glance, namely the following.

Tool Example of how it helps with search marketing
Keyword research tools Which keywords are being used in general?
Audience measurement or competitive intelligence tools Which keywords work for your competitors and what is your share of those keywords
Social media monitoring tools Which keywords are being used by your audience? If your search clicks are up/down is that because there is a spike of positive/negative buzz about you?
Advertising, online and offline With improved awareness and perception of your brand, your audience is more likely to click on your search listings

 

2. Search marketing

This category includes the most obvious items associated with search marketing optimization:

Tool Example of how it helps with search marketing
Search bid management tools or agencies Reduce manual efforts and increase returns from your paid search budget
SEO tools or agencies Help monitor your success vs. competition for ranking better on critical keywords

 

3. Landing page management, and 4. site management

These categories include similar items that I shall list together here. But it makes sense to keep them as two categories because the vendors/tools for landing page management are sometimes not the same ones as those used for managing content on the rest of the site.

Tool Example of how it helps with search marketing
(Landing) page design and deployment To make split testing of landing pages for reducing bounce rates feasible it needs to be easy to create and deploy alternative test candidates
Multivariate testing Multivariate testing can evaluate even more permutations of test elements on a single page.
Voice of customer The numbers don’t tell the whole story of why visitors searching for XYZ do or don’t buy. So you need to ask them.
Personalization or behavioral targeting Going beyond testing, dynamic content that is targeted to individuals based on their past and ral time behavior has the promise of increasing conversion rates further
Lead management For businesses where the sales cycle continues offline it helps for improving offline conversion rates to tap into the prospects web behavior. For example the salesforce automation system can be updated with past and ongoing web searches that the prospect does.

 

Not to even mention product recommendations, product reviews, etc.

Is that all?

No, there is much more that is critical. Search visitors will often not convert on their first visit. So re-marketing is essential.

semfunnel2

More importantly, maybe, the customer life cycle doesn’t end with the first purchase. That is in fact when the work of the customer marketer only begins and the life cycle continues with on-boarding, growing lifetime value, attrition risk detection, and win back. Some additional tactics and technologies that are involved on the online channels include the following:

5. Interactive Marketing

Tool Example of how it helps with search marketing
Email marketing The lead is nurtured with content that keeps their interest alive and brings them back to the site until they convert (again).
Re-marketing ad networks The lead is reached on other (publishers’) sites with ad banners that are relevant to their past searches
Interactive Marketing (or next-generation campaign management or event-triggered marketing) By building all interactions on each individuals’ past and current behavior on the web channel (and beyond), the marketer aims to keep their messages (both timing and content) aligned with the individuals’ interests.

 

Do we really need all of that … stuff … to optimize search marketing?

If your goal is merely to improve search marketing, e.g. PPC, you need nothing more than a Google AdWords account while paying attention to the built-in couple of metrics. But if you are after optimization, then the above are truly all part of the funnel or chain. Each of these pieces are truly needed and will pay for themselves.

And we are supposed to integrate that with web analytics?

As a supporting function and nerve center, web analytics has the potential to glue most of these elements together. When done right this could make your web analytics people some of the best known employees across all of these teams.

But you would be forgiven if you are thinking that integrating all of these functions with web analytics could be too big of an effort and cost. That is precisely why vendors such as Omniture and Unica are building out online marketing suites.

Today, not all of the above are available (and integrated) within one vendor’s suite. But that day will come because there is a real need by marketers.

Feb 18th, Webcast on Search Marketing in 2010

Search marketing optimization might appear like a single dimensional affair to an outsider, i.e.

  • optimize ranks for SEO
  • optimize bids for PPC

What could be so hard about that?

But insiders know that search is quite a multi-dimensional problem. It requires them to weigh

  • keywords
  • ads
  • budgets
  • bids
  • currencies
  • targeting across multiple dimensions
  • landing pages
  • offers
  • their audience
  • their competitors
  • and much more, for example catching the rebound when the visitor doesn’t become a customer initially

So, while a techy like me can describe the complete space of options to tweek and analyze (see my SEO and PPC wizards), an experienced SEM practitioners can hopefully use their judgement and more quickly identify the most important subset of aspects to pay attention to.

The difference might be a little similar to a computer chess algorithm (that searches through the space of possible moves) vs. a Kasparov.

That is why I greatly look forward to this Thursday’s (Feb 18th) webcast at the Web Analytics Association (access the recording of the event here) where Unica’s customer Kristin Philbin at Marcel Media will share her tips and tricks for search marketing in 2010. Kristin has rich experience working with Marcel Media’s enterprise clients. But even an experienced search marketer needs to keep pace with the unstoppable innovation at the search engines.

Unica’s Penny Coupland and I will join Kristin to discuss the top 5 changes with search marketing and the related analytics in 2010.

Access the recording of the event here.

SEO Requires More Than Rank Optimization (guest post)

If you are optimizing SEO for your websites you will benefit from checking out following valuable comment that Greg Moore added to the SEO Optimization wizard this week.

Greg, optimizes SEO, PPC campaigns, and website conversion rates for a living. He is located in the San Francisco area and is clearly as passionate about analytics as anyone you will ever meet in our little industry.

You can see his full comment on the SEO wizard’s page for identifying the keywords that should be prioritized for SEO through analytics (will need to scroll down).  Below is an excerpt to hint the direction in which his recommendation is going:

“Further, if a page from our site appears in the middle of page two of the search results, and later due to some great SEO work it moves up two positions, that is not going to increase the number of visits very much.”

Therefore, some ‘SEO feasibility’ analysis step needs to be part of the effort of picking the keywords on which you will bet. And Greg also says the following based on his insider knowledge of the SEO profession:

“Most SEO folks know about the importance of getting links to your web pages, and they have lots of clever ideas about how to get them. The key is web analytics. We want SEO work focused on a handful of search phrases where we will get the best results.”

Thanks Greg!