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The Online Ad Scams Every Marketer Should Watch Out For

Setting up a new digital ad campaign or hiring an agency/someone to do it? Read this Harvard Business Review article on some techniques of which to be aware and that can often overstate performance for a given tactic.
HBR Staff

Imagine you run a retail store and hire a leafleteer to distribute handbills to attract new customers. You might assess her effectiveness by counting the number of customers who arrived carrying her handbill and, perhaps, presenting it for a discount. But suppose you realized the leafleteer was standing just outside your store’s front door, giving handbills to everyone on their way in. The measured “effectiveness” would be a ruse, merely counting customers who would have come in anyway. You’d be furious and would fire her in an instant. Fortunately, that wouldn’t actually be needed: anticipating being found out, few leafleteers would attempt such a scheme.

In online advertising, a variety of equally brazen ruses drain advertisers’ budgets — but usually it’s more difficult for advertisers to notice them. I’ve been writing about this problem since 2004, and doing my best to help advertisers avoid it.

Overstating the Effectiveness of Sponsored Search Campaigns
A first manifestation of the problem arises in sponsored search. Suppose a user goes to Google and searches for eBay. Historically, the top-most link to eBay would be a paid advertisement, requiring eBay to pay Google each time the ad was clicked. These eBay ads had excellent measured performance in that many users clicked such an ad, then went on to bid or buy with high probability. But step back a bit. A user has already searched for “eBay.” That user is likely to buy from eBay whether or not eBay advertises with Google. In a remarkable experiment, economist Steve Tadelis and coauthors turned off eBay’s trademark-triggered advertising in about half the cities in the U.S. They found that sales in those regions stayed the same even as eBay’s advertising expenditure dropped. eBay’s measure of ad effectiveness was totally off-base and had led to millions of dollars of overspending.

Now, eBay is unusual in its dominance of U.S. consumer auctions. Your company is probably less fortunate in the markets it serves, and if you don’t buy your trademark as a keyword to show your search ads, Google will try to sell your trademark to your competitors, a tactic which some courts have allowed. But if a user searches for Dell, an ad for a competitor like Lenovo tends to underperform. Some users may be willing to consider an alternative at Google’s suggestion, and others may be tricked or not realize the difference, but at least a portion will recognize that Lenovo is something else entirely.

A recent study by researchers at the University of Chicago generalizes these methods and shows that buying your own trademark tends not to be as good an investment as standard measurement tools suggest. Tempting as it may be to increase spending on these (supposedly) “top-performing” keywords, I’d advise the opposite: Cut them, perhaps all the way to zero.

Overtargeting Display Ads
Another problem arises with “retargeting,” which recognizes consumers who didn’t make purchases. The logic: if you went to Expedia and looked at a hotel but didn’t make a reservation, Expedia will arrange for its ad to be shown as you browse the web in the coming days. The banners can be eerily precise, often promoting the specific properties you considered. This approach makes it easy to click back to where you were and complete the purchase.

Here too, standard metrics indicate that the campaign works. No doubt the folks who browsed at Expedia are good candidates for buying from Expedia. Showing banners may remind them to do so. But how many of them would have made a purchase anyway? Certainly not zero. (Consider the traveler who was waiting to finalize his itinerary, perhaps awaiting confirmation from a friend or a business associate.) Yet most measures of ad effectiveness will give full credit to the retargeting vendor — asserting, falsely, that had it not been for the retargeting banner, the user would not have purchased. This hasty analysis leads advertisers to run retargeting campaigns that appear to yield profitable purchases more than sufficient to cover retargeting costs. But if an advertiser considers that some of the sales would have happened anyway, the appeal of retargeting campaigns necessarily diminishes.

It turns out that even demographic targeting of banner ads (without retargeting) is also at risk. Suppose your company is fortunate enough to enjoy popularity with a given demographic group — say, 40% market share among men aged 18 to 25. You might target banner ads to that same group, hoping to reach the 60% of customers in this group that you don’t yet serve. But remember that you’ll also be addressing the many customers that already use your offering. You might falsely attribute “success” to a campaign that prompted purchases from the customers who were going to buy from you regardless.

My advice: try a randomized experiment. Take a portion of the users who would have seen a retargeting campaign or a demographically-targeted campaign. Rather than showing them your ad, decline to advertise to them, and track how many of them buy anyway. If 20% of them still make a purchase, your ads are actually 20% less effective than basic measurements would suggest.

Paying for Affiliate Sales That Would Have Happened Anyway
Affiliate marketing is supposed to align incentives perfectly, paying only for success — like a 10% commission if a user actually buys a given product, but zero for impressions and clicks. Is fraud “impossible,” as some have claimed? Not at all.

Consider a sneaky affiliate who “stuffs” a cookie on every user’s computer as the user browses an unrelated web site. With a moderately popular site (or a banner or widget on someone else’s site), this “cookie-stuffer” might claim to have referred millions of users to a given merchant. Some of those users are bound to make purchases, and the merchant will pay the affiliate a commission as if it truly caused the user’s sale. Worse, the merchant is unlikely to suspect the problem; with real sales, merchants are often slow to realize that some customers’ decisions are uninfluenced by any affiliate marketing activity.
Mere speculation, you worry? Not so. In 2008 indictments in San Francisco, Shawn Hogan and Brian Dunning were charged with wire fraud for using these methods to claim more than $20 million from eBay. They were, for a time, eBay’s largest two affiliates, and they report that eBay wooed them with dedicated account managers, chartered jets, and more. Only years later did eBay realize it was being swindled. (Disclosure: I advise eBay on certain aspects of affiliate marketing fraud, and litigation records indicate that I uncovered Hogan and Dunning’s activities.)

The take-away: if you run an affiliate marketing program, you shouldn’t assume it’s fraud-free. A good start is to know your affiliates — browse their sites to examine their offers and approach. Some affiliates try to keep their sites secret, claiming that merchants might copy their proprietary methods. I can understand their worry, but if they want to get paid, they should expect reasonable oversight. If an affiliate’s site doesn’t look quite right — too ragged for the volume it reports, too hasty, or otherwise not quite right — you should push for specifics and check third-party sources like affiliate network staff, server logs, and online discussion forums to try to confirm your suspicions.

Measuring Success When Adware Intervenes
When users’ computers are infected with advertising software like adware and malware, advertisers are at still greater risk of being separated from their money with little to show for it. I’ve tracked adware that covers advertisers’ sites with their own pay-per-click ads, so that a user browsing (say) rcn.com sees paid links for RCN rather than (or on top of) the genuine RCN site, prompting unnecessary clicks. I’ve found banner injectors that insert ads into other companies’ web pages without permission from those pages, and certainly without paying those pages’ publishers. Remarkably, some injectors insert an advertiser’s banner ad into its own web site — a particularly outrageous scam against the advertiser, which then pays to retain a user it already serves. (An example is Revizer adware and ad network Criteo charging Zappos for users already on Zappos.com.) Adware can also monitor a user’s browsing, then invoke the affiliate link to the site a user is about to buy from.

Adware tends to be particularly tricky to uncover since testing is so difficult. Advertisers are rarely willing to set up testing labs to see adware in action first-hand. As a stopgap, consider insisting on higher standards from responsible networks. Revise contracts to allow for clawback of any payments later shown to result from adware. While you’re at it, you might look for one-sided terms throughout an ad network’s contract; ad network defaults tend to protect their interests only, disclaiming every possible warranty or guarantee to leave advertisers vulnerable if anything goes wrong.

The Way Forward: Aligning Incentives for Marketing Managers
It’s probably no surprise that advertising networks offer services that aren’t in advertisers’ best interests. An ad network is an advertiser’s vendor — fundamentally, not a genuine partner or ally, but a supplier whose direct interest is charging more for doing less. Savvy advertisers should view the relationship accordingly.

How about ad agencies and advertising buyers? Advertisers often pressure agencies and buyers to deliver near-impossible results. They often face tough demands — “20% more customers for 10% less money” and so forth — and cutting corners can feel almost unavoidable. I understand advertisers’ insistence on results, and I share it. But when measurement is imperfect, an excessive focus on measured results invites vendors to game the system with tactics that advance measured indicators without genuine results.

I’ve even seen instances in which a company’s in-house staff become complicit, knowing that vendors are up to no good, but afraid to call them out on it. Companies almost invite this behavior through bonuses and performance objectives — “$10k extra if you increase ROI by 10%” — yielding temptations too enticing for some to resist.

Advertising is hard work. Short of the rare product that practically sells itself, advertisers and their vendors should expect to hustle to find scalable and cost-effective methods. When you see a new tactic delivering outsized results, you might ask yourself whether it’s too good to be true. Sadly, often it is.

Original POST

Author: Benjamin Edelman

October 17, 2015
Yep, it’s another Kaushik post

As always, Avinash Kaushik does an excellent job of explaining complex ideas in simple terms. Thank you Avinash and the following article focusing the marketing web analyst is another one (of many) must reads from Occam’s Razor.
The Biggest Mistake Web Analysts Make… And How To Avoid It!

The single biggest mistake web analysts make is working without purpose.

We work very hard. We torture SiteCatalyst. We send out a lot of data. Then we resend it again and again. And yet our work results in very little impact on the business in terms of action taken by company leaders.

Why this sad state? Almost always we dive into the ocean of data first. Sadder still, we don’t ask questions later. We never ask questions.

No questions. No tie to what’s important. No impact from the data.

Result? Our work lacks purpose. It is that simple.

My normal recommendation to address this supremely corrosive issue is to encourage each company to go through the process of creating a Digital Marketing and Measurement Model . It is a fantastic five step process that forces the engagement of key stake holders to produce a blueprint of why digital exists in a company, and what it is trying to accomplish.

No touching Google Analytics. No going to web analytics conferences. No tweeting for help.

Just doing the four things, in five steps above, will deliver what we lack… purpose.

1. Why should you come to work?

2. What should the focus of your work be?

3. What level of performance indicates success or failure?

4. What dimensions, if analyzed, will deliver juicy business insights?

Unfortunately a very tiny fraction of companies, or Analysts, want to put in this lifesaving effort up front.

If you fall in the “Analyst unwilling to do the hard work” category, I’m afraid I can’t help you.

If you fall into the “Analyst really wanting to do the hard work but does not have the connection to Superiors, or other teams, and looking for any way out to identify business purpose” category. I have a very very simple approach for you to follow. You are going to love it.

But there are two prerequisites: 1. You are going to have to throw away the shackles, and think like a business owner. Even if you work in a multi-headed hydra called “global corporation.” 2. Have the courage to move beyond the office politics/bickering, move from waiting for a savior to tell you what the purpose should be to investing some time in figuring it out yourself.

If you meet the prerequisites, and have a pinch of business savvy, we are together going to change the world!

My recommendation calls for you to take a structured approach and answer five questions. The insightful answers will help you create your own understanding of the purpose of the digital existence. You’ll end up creating something very close to the DMMM above.

The result will be an astonishingly high level of focus for your digital analytics work (even on day one) and hyper-relevant insights to the business. That, in turn will simply blow people’s mind (relevant insights always do), creating love for you. And love like that is hard to come by. (Conveniently that type of love also translates into a sweet raise. 🙂

Perhaps I’ve over-promised. But I’m just so excited about this process and its power to make our professional lives better.

Ready?

In my experience the best teaching happens with real world examples, rather than spouting theory. Hence, I’m going to useCredit Karma as an example to illustrate the process. I don’t know anyone at Credit Karma. I’m not an expert in the credit score reporting business. So I’ll be just as blind as you might be walking into any business and going through this exercise.

Here are the five questions (plus one special bonus in the end) I/you have to answer to get a very good sense of the business to bring astonishing relevancy to our data analysis:

#1. Why does the site exist?

This is the holy grail. But here’s the trick: We are not looking for just the obvious answers. We want to identify as close to 100% of the purpose for which the site exists, how it makes money/gets leads/raises donations (as the case may be).

In the case of Credit Karma my first job is to identify what the Macro Conversion is. The single biggest reason for the site’s existence.

Luckily except in the case of the most incompetent websites, this is easy to find. In our case it is right there staring us in the face on the home page: Free Daily Credit Card Monitoring!

Just to be sure, since I don’t know them at all, I might poke around a few pages to make sure. But usually it is pretty clear.

And in this case the cool thing is that they give you one score, the TransUnion one, for free. No credit cards required to sign up! My favorite report is the Credit Report Card. Great visualizations and really great data. Sign up today! [Disclosure: I’m not affiliated with nor do I know anyone at Credit Karma.]

OK, back to being the business owner.

The next thing to answer this question, and ensure that I’m not a newbie Analyst who will only focus on 2% of the business success, I have to figure out the Micro Conversions.

To do this you’ll go to the main sections of the website. You’ll look for other calls to action. “Sign up for the mailing list.” “Order our catalog.” “Download the trial version.” Et al.

After 10 minutes of browsing, I found all these valuable Micro Conversions:

Some are pretty straight-forward. Affiliate links (Take Offer, Compare Rates) that link to other sites from which Credit Karma makes commissions. Advertising on the site is a Micro Conversion (the SavvyMoney ad above with the link Manage Your Debt). The Write A Review call to action (the more reviews there are on credit cards, the more valuable the site is for comparison shoppers the more people will come and do business with them). In the same vein, completed Compare Credit Card offers is an important Micro Conversion (and a sign of deeper engagement with the site). Finally, the links to connection on social platforms are Micro Conversions as well.

Now you have a fantastic understanding of the business objective (make money via credit reporting) and the Goals (a combination of Macro + Micro Conversions).

And, I can’t stress this enough, you are not just looking at 2% of business success, you are looking at 100%.

Bonus: Identifying Macro and Micro Conversions also gives you a list of Ecommerce Tracking to set up on the site, and Goals to set up in the Admin interface. You’ll also note small things like outbound link tracking (using Events) to set up for social actions and ensuring all affiliate links are tagged with our company’s tracking parameters.

Don’t open Google Analytics or Yahoo Web Analytics yet! We have more work to do…

#2. What parts of the website should you focus on first?

One of the biggest problems we have with digital analytics is that we have waaaaaay too much data. And because the reports only show the top ten rows, we might not easily be able to see what matters.

Hence it is very important to figure out where to focus your analysis first. My method for doing that is to browse around the site and answer this question:

~ What content on the website is directly tied to driving Macro and Micro Conversions?

~ What sections of the website might be most valuable to the visitors?

~ What content areas seem very expensive to create (hence more important to measure if they are adding any value!)?

~ What cross-sells and up-sells do you see being pimped across the site?

~ What does the top nav and left/right nav groupings tell you about priorities?

You can quickly see how those simple questions help you understand what data might be the object of your analytical horsepower.

Another 10 or 15 minutes of exploring various links and pages yields the answers I’m looking for.

For me, as a lay person and not a credit score industry veteran, the most important section would be /learning. The more the website visitors are aware of how important credit scores are, the more likely they are to sign up.

This was a bit hidden but the second most important piece of content would be the Credit Simulator (/preview/simulator). I can go play with the simulation and be informed (scared, actually) of the implications of taking credit and become a more qualified lead for Credit Karma.

The other sections I found valuable, using the framework outlined in the questions above, were: /help/howitworks (no one would sign up without looking at this page, we have to A/B and MVT test this to the max), /tools (this creates a great affinity for the brand, even if people don’t sign up) and of course /creditcards (if they don’t sign up, let’s at least get an affiliate click :).

You can quickly see how you’ve got a short list of things to do in the Content section of Google Analytics. The filters to apply to those reports, to understand which KPIs would be most important as you value this content.

Rather than letting the data take you somewhere randomly, let this approach put you in the drivers seat and then you take data for a ride to a specific destination. That is what being successful is all about.

Awesome, right?

#3. How smart is their digital marketing strategy?

If you are a regular reader of this blog you know how deeply fond I am of the Acquisition, Behavior, Outcomes framework. We covered Outcomes with the first question and behavior with the second. Now it’s time for acquisition.

What I try to probe, without talking to anyone at the company, is how savvy the company is in digital marketing. I’m also trying to figure out all the places they might be doing advertising. I want to know if they have even a simplistic understanding of how to rock social media.

Here’s my process for doing that…

~ Visit www.google.com (or Baidu in China, Yandex in Russia etc). Run a bunch of search queries with the intent of looking for the company’s products and services. I’ll do at least five or so brand-related queries (“credit karma reviews”), and at least ten to fifteen non-brand/long tail queries (“free credit scores,” “best credit score website,” “credit score reporting scams,” etc.).

I make a note of: 1. Organic search rankings (rank, page titles, snippets). 2. Paid search ads (title, creatives, urls shown). 3. Competition (who comes up first consistently, ppc and organic). 4. Search Plus Your World results.

[Also read, Analytics? Let’s Defer to Avinash Kaushik]

~ Visit sites like (in this specific case) Yahoo! News/Finance to see if I get display ads when I read articles or stories about credit cards, credit scores etc. Do the same with some of the top sites I can think of related to the industry (brokerage sites, financially savvy consumer sites, etc). Finally, checkout at least a couple of blogs relevant to the topic.

I’m trying to see if I bump into my company’s ads (display, text, any other type). It will be a great reflection of how well thought out their acquisition strategy is, or how sub-optimal it is.

~ No business, B2C or B2B or here2there, can exist without a robust YouTube strategy. So off to YouTube to do some relevant searches to see what videos show up.

Do I see any promoted videos in the results (to control the message)? Do I discover a brand channel by the company (to create a deeper connection with customers)? How lame or awesome are their videos (you want to teach and pimp both at the same time)?

~ Social is all the rage these days and I do believe that every business of every type should have a social presence that is the epitome of conversational marketing. So visiting their Twitter/Facebook/Google+ pages is critical.

Do they have a social presence? How many followers/likes do they have in comparison to their competitors? Do they reply to questions, or just shout? Do they pimp offers or try to make people’s lives better? Is there any consistency in their contribution?

One special thing I’m also checking is if they have the +1 button on their website. Search Plus Your World and the social graph has become quite important. People search now, see their friends/social graph liking/endorsing brands and pages. Those often catch the eye of the searcher more easily, sometimes, than paid or organic results.

All this goes into creating starting points for what I’ll do when I get into the web analytics tool. Will I analyze Search first or Campaigns? Will I focus more on referring sources or social traffic first? Will I measure the value of YouTube first or Display ads?

Additionally the above investigation also gives me a set of insights I can deliver to my CxOs. Channels where they should exist but don’t. Things they might be doing badly in Social or YouTube or wherever. Missed opportunities in Organic search or SPYW. Things like that. And these recommendations will come from my own digital marketing sophistication (earning respect from my Senior Leaders).

Bonus: In the digital marketing savvy section I’ve also started to pull out my Samsung Galaxy Tab and Nexus S to preview the mobile and tablet experience of the company. If it stinks that tells me a lot (remember the year of mobile was 2010!). I’ll also run a couple of quick searches on Google or Yandex or Baidu to see how the landing pages look on my mobile phone and tablet.

Super Bonus: Only for the most passionate amongst you… run a quick query in the iTunes App Store and the Android Market to see if the business exists there in the form of an application. If yes, download it. Play with it. Download some competitor offerings.

Most companies that are on the bleeding edge of digital marketing savvy are leveraging Google, Yahoo!, Email Marketing, Blog ads, Social channels AND mobile experiences AND mobile applications. The analysis above, will bring remarkable brilliance when you dive into the data. You’ll take your company from bad to good in terms of acquisition-savvy, or from good to great.

#4. How well are they doing in context of their competition?

It is almost criminal to dive into doing any analysis of a company’s website data without first getting a little bit of context about their competitive performance. Context after all is king .

Here one simple example of how it can be helpful. You log into CoreMetrics and you see a line traffic going up or down. Is that good or bad? You don’t know. No one at the company will talk to you. Why not jump on to a free competitive intelligence tool and figure out the answer for yourself?

I’ll usually start with looking at the company’s data in www.compete.com (if they are US-based with primarily US-based traffic) orGoogle Trends for Websites . And in five seconds I’ll end up with a graph that looks like this:

The above data is from Compete. I’ve included not just the data for Credit Karma, but also for two relevant competitors, freescore.com and myfico.com.

Initially I was wow-ed by the spike in the blue line (Credit Karma), that is quite spectacular. But then I see that it might be an industry thing, as the competitor spiked as well. Good context.

While at Compete I can also dig into a whole bunch of metrics like Visits, PageViews, udience segmentation, and so much more.

Now, I better understand visitor acquisition.

Time to understand a bit more about the visitors themselves. My BFF? Google/DoubleClick AdPlanner , perhaps the largest source of demographic and psychographic data out there.

The above data is for freescore.com. I can also quickly run queries for Credit Karma (and others) and compare and contrast the demographic profiles of people who visit the website. Are our competitors particularly stronger in some Educational categories or Incomes compared to us? What are our areas of strength?

While in AdPlanner I also highly recommend looking at “Sites also visited,” a fantastic way to understand who a site’s real competitors are. What are the clusters of options when people consider a credit report? This is also a great place to get ideas for websites you can show ads on, exchange links, etc.

The last stop of my journey is Google Insights for Search , your direct source for all Google organic search data from across the world. Here I particularly like to look at a metric I call “share of search.” How often are people looking for the generic query for the industry, for me (/my company) and for my direct competitors?

Think of it as unaided brand recall …

Just look at that massive spike in queries for Credit Karma at the end of Dec! What the heck happened there? Great question. What where the related keywords people searched for? Check the Google Analytics reports. Was this traffic any good? Check the Google Analytics metrics. Are we going to dominate the world and crush our competitors? Time will tell!

The purpose of competitive intelligence analysis is to understand your place in the world, to highlight from an industry/ecosystem perspective what your strengths and areas of opportunity are, and to collect a list of questions like the ones immediately above for analysis in your web analytics tools.

Is that not simply orgasmic?

#5. What is the fastest possible way I can have a impact on the business?

One final thing.

I look for a low hanging fruit to fix/analyze. Something I can quickly analyze, find insights for and get fixed to show the value of data (and my employment at the company).

Here are some examples of things I consciously look for:

~ Any obviously important links that might be broken (404) or misdirected.

~ Horribly constructed landing pages for the top organic/paid keywords.

~ Something absolutely important missing from the site’s information architecture.

~ A missed opportunity for promoting a micro conversion more prominently. (Why is the Credit Score Emulator so hidden, and not on the home page of Credit Karma?)

~ Overpimping of social icons when there has never been a social post (or all posts are sub-optimal).

~ No “related items” after a product is added to cart. (Aw, come on! Has Amazon taught us nothing?)

~ 17 display ads on every single page on the website. (Why, oh why must we inflict torture?)

And other such things. Depending on the website you are analyzing, and your web-savvy/UX expertise, you might find other things. But the criteria to apply is that you are looking for big, obvious broken things that can mostly likely be fixed quickly and for which the impact can be quickly measured.

You are trying to find something with a clear purpose to show the power of actions taken through data.

One of my most beloved low hanging fruit for lead gen/ecommerce websites is to identify and improve the checkout abandonment rate .

That would be measuring the efficiency of this process for Credit Karma:

For a lead gen/ecommerce website there is no faster way to improve the bottom line. The potential customer has already discovered us. They’ve survived our website. They’ve gone from consideration to purchase. Now, all that remains for us to make money is to get them through these three simple pages. Let’s make sure we do that! 100% of the time! (I love being aggressive in this case.)

This is directly tied to business purpose. It is absolutely focused on something important (getting the macro conversion). It is small (3 pages), and it is very well defined. And it is easily measureable (hello my dear funnel analysis, I’ve missed you!).

That is how an Analyst achieves glory. Through data. Powered by a clear purpose.

So five simple questions that help you focus on the end-to-end view of the business (Acquisition, Behavior, Outcome) without ever touching the data (except CI) and help you create your own Digital Marketing Measurement Model.

What I love more than anything else is that it forces you to become the Marketer for the couple hours you’ll spend on it. It forces you to think like a business owner for that time. It forces you to pull out any UI/UX chops you have.

It is rare that Analysts get to flex those muscles. It is important, though because I don’t know of a single Digital Analyst who has become great without flexing those muscles.

And now, my dear, you are ready to log into your web analytics tool!

But before you do that, I have one last parting gift for you…

Special Bonus: #6. Any technical notes I can make for the future (analytics or coding)?

As I’m clicking around I also like to make note of these things:

~ Randomly view source to see if the javascript tag for the web analytics tool is there. You just want to spot check if the tool is there (for GA just do View Page Source and Ctrl F and ga.js).

I do not encourage you to do to this until much, much later, but you can use a web analytics site audit tool for more thorough checking. But don’t do it now. Don’t get sucked into technical implementation hell just yet.

~ Things that might hinder SEO.

For example: Link text – is it descriptive? URL structures – are they clean (as on Credit Karma) or a jumble of technical gibberish (as on www.aeropostale.com )? Exit links – are they wrapped in javascript (can’t be read by search bots) or clean? How clean is the link structure? These and other such small things are both a task list and a sign of how savvy the company is when it comes to SEO.

~ When I click on various external ads (search, display, YouTube), I also take a quick peek at the URL window to check for campaign tracking parameters. So important to have them.

~ Make note of windows that pop up. If they are links to the company’s blog or their ecommerce/travel reservation/lead gen platform, is it on the same domain or a different domain?

Latter means tracking challenges, technical nightmares.

~ If they have an internal site search engine, and in this day and age it is criminal not to, then I do a quick search and see if my query shows up in the url stem. For example, on this blog it would look like this: http://www.kaushik.net/avinash/?s=segmentation

This would be awesome. The “s.” It means we can configure it in Analytics in two seconds (no IT begging involved) and start doing amazing internal site search analysis .

If the parameter does not exist… well, then IT begging will be mandatory. 🙂

Remember. You are not a technical implementer or a javascript tagger – two valuable roles. You are an Analyst. Your primary objective should be data analysis and finding insights. So the first five questions and the answers you’ll find are your focus area. The sixth is a gift you can give the javascript tagger/technical implementer in your company.

That’s it. My humble attempt at sharing with you everything I know about avoiding the single biggest mistake Digital Analysts/Marketers make: Execute their jobs without a clear business purpose.

If any of the above makes you feel that I hold data secondary and understanding what data is in service of first then I’ve succeed in my mission with this post.

As always, it’s your turn now.

What are the approaches you use to identify business purpose? Do you dive into the data first, and still find insights without doing the above mentioned five investigations? Is there a strategy outlined above that you feel works better than others? What are your favorite low hanging fruits to fix for a digital business?

Original POST

October 10, 2015
WSU Entrepreneurship 490: Student Websites

Student Websites

Enjoy the Entrepreneurship 490 Class Websites

TJ’s Website
Dillon’s Website
Nikki’s Website
Bryant’s Reviews
Jonah’s Website
Nick’s Website
Gaets’ Website
Amandaree’s Website
Cole Greer’s Website
Additive Manufacturing & Design
The Compliment Campaign
Annalise’s Website
RB Olson Construction
The Bees Knees
SparkleOn
Amber Larks Photography
Keegan Hartle’s Website
Ying’s Website
Xuening Website
Dan’s Website
Limitless Music Productions
Joel’s Website
CJ’s Website
Maggie Lau’s Website
Nick’s Website
Brittany’s Website
Savannah’s Website
Spokane Garage Services
Conner’s Roadtrip
Douglas’ Website
Julia’s Website

September 29, 2015
Social media meltdowns highlight the power of the audience

With social media, “The audience has more control than anyone realizes.”
Well, except for those who spend their days with social. We see it all the time and most recently with Martin Shkreli, who backed down after pursuing a doomed and short-lived battle against the internet.

Although the below article is over a year old, it was a harbinger for traditional media, whose more entrenched practitioners still cling to the old notion that they can be the gatekeepers of the message, story, opinion, etc. No longer. The power has shifted to the audience, and the following article did a great job of explaining it.

The Travel Channel’s Adam Richman, last year at a charity event in Los Angeles, had his new show indefinitely postponed after telling a critic via social media to “grab a razor blade and draw a bath.”

Frazer Harrison/Getty Images Entertainment

At first glance, Adam Richman and Anthony Cumia might not seem to have much in common.

True enough, they are media stars who took a hard fall thanks to untoward comments on social media. Richman, a host on the Travel Channel, saw the debut of his new show delayed indefinitely after an online spat led him to suggest one critic commit suicide.

Cumia, half of the infamous Opie & Anthony shock jock radio duo, was dumped by SiriusXM after using the c-word on Twitter to describe a black woman he said punched him. The shock jock said she objected to being included in pictures he was taking.

He then spent a lot of time on social media talking about “savage violent animal(s)” who “prey on white people,” noting “she’s lucky I was a white legal gun owner,” and that “there’s a deep seeded [sic] problem with violence in the black community.” Later, he insisted he was not saying anything racist; Gawker saved the posts so you can see for yourself (warning: It’s seriously NSFW).

For some, this is the story of how a Twitter fight can get out of control. But I say both Richman and Cumia were kneecapped by the new reality of modern media:

The audience has more control than anyone realizes.

When you think about how social media works, this makes perfect sense. Online platforms such as Twitter, Facebook and Instagram take authority from the gatekeepers of media, which once controlled access to large audiences — newspapers, TV networks, cable channels and radio stations. Instead, that power is handed to anyone who can create compelling content.

I found this out when I tweeted a message about the music CBS This Morning played toward the end of a segment on Nelson Mandela’s death. I posted a quick jibe about the use of Toto’s hit “Africa” as a brief observation. But the Twitterverse decided it meant more, sparking enough stories in places like Slate and The Huffington Post that a co-founder of the band eventually weighed in (in my favor, I might add).

In the old media days, an individual’s impact was limited, unless they could get the gatekeepers involved — get a story on the local news, a letter in the newspaper or a call into the local radio station. No more.

When Richman began responding to critics who said his hashtag #thinspiration referenced a phrase popular with anorexics, he eventually suggested one “grab a razor blade and draw a bath. I doubt anyone will miss you.” Amid the controversy, Travel Channel executives delayed the planned debut of his new show, Man Finds Food,which in turn put a crimp in Richman’s plans to showcase his return to TV hosting after losing more than 70 pounds. (He has since released an apology calling his remarks “inexcusable.”)

This isn’t so much about hurt feelings as it is about marketing and branding. The real value of a media personality like Richman or Cumia is the fan loyalty they inspire, which can then be transferred onto other TV shows or products. So when the host’s brand gets damaged in the public space, their value drops.

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Anthony Cumia, at an April event commemorating 20 years of The Opie & AnthonyShow, was fired after a series of racially charged tweets.

Cindy Ord/Getty Images Entertainment

Shock jock Cumia faces a different media issue. Radio personalities in his line of work walk a thin line: pushing boundaries enough to satisfy their audience, but facing the risk of widespread public rejection if their offensive shtick becomes widely known by too many people outside the fan circle.

Cumia forgot that his way of talking about such stuff might be acceptable to his regular fans — people inside the closed loop of his satellite radio show and regular Twitter followers. But once his words spilled out into the general public, he found another reaction (just ask Don Imus how painful that can be).

One other thing both Cumia and Richman have in common: Both their social media meltdowns occurred outside their regular jobs. This, of course, is something even the Kardashians learned long ago: Celebrity is a brand that reaches beyond whatever you do for a living into the rest of your life.

And since social media turns everyone into a brand anyway, every interaction there affects a star’s brand — and their possible employment — regardless of whether it happens on the clock or not.

Evidence of the audience’s new power ranges beyond Cumia and Richman. Successful Kickstarter campaigns for the Veronica Mars movie and Reading Rainbow kids TV series have given fans the ability to vote with their wallets to save dead shows. Moves by Netflix and Yahoo to resurrect Fox’s Arrested Development and NBC’s Communityalso shows the power of a vocal niche audience to push programmers into action.

My hunch is that both men will be fine. Travel Channel is probably just waiting for the dust to settle before launching Richman’s new show. More than 21,000 people already have signed a Change.org petition to get Cumia his job back as he plans a new show from his home. In fact, there’s a drive to cancel Sirius subscriptions in support of Cumia that’s building — where else? — on Twitter.

Still, everyone in this new media universe should learn from Cumia and Richman’s example.

Power is shifting to the audience. Stars who ignore that change do so at their own peril.

ERIC DEGGANS

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Original POST

September 26, 2015
Separating the personal and professional on social
Let’s face it: social media is risky. A single unfortunate post can throw a career off track. And yet in an era in which younger workers are connected with an average of 16 co-workers online and where 40% to 60% of hiring managers use social media to screen potential hires, it is simply not reasonable to stay off social media entirely. So how can we balance the personal and professional online?

In a recent research study, we spoke with dozens of professionals about their use of social media, and were struck by the variety of approaches they are using.

Some professionals, we found, still manage to avoid social media altogether. But most see that as unrealistic in many occupations, and are unwilling to be deprived of the advantages social media affords in terms of connecting to people and collecting information. Many in some way recreate in social media the kinds of boundaries, or mental fences, they use in real life to organize their worlds. These boundaries serve people well offline, and they can perform their function online, too.

Before making any conscious choice of preferred social media strategy, professionals should do a quick self-diagnosis of their current, most natural online behavior. Do they value transparency and authenticity first and foremost? If they do, and thus post whatever comes to mind on social media, they embrace what we call an Open strategy. The key is to ensure that they understand this is risky. They might instead use a less risky Audience strategy, being careful to keep their professional and personal networks separate. For instance, an unreserved Facebook poster might learn to deflect friend requests from co-workers and professional contacts and direct them instead to a LinkedIn account. This not only avoids the danger of appearing unprofessional to colleagues but also the potential problem of seeming to speak as a representative of the employer. Individuals who adopt an Audience strategy, however, must be mindful that networks are fluid: people who begin as friends can later become co-workers, or even bosses – in which case, an Audience strategy can be compromised.

We heard from some professionals (and saw in a recent survey that 40% of respondents felt the same) that they feel compelled to accept friend requests from professional contacts. In that case, a Content strategy can be useful, which entails accepting these requests and resigning oneself to posting only carefully considered content. People who use this strategy post information and photos that project an image of professionalism, or at least do not undercut the reputation they are trying to earn with their boss, coworkers, and clients. The drawback with this strategy is of course that they can no longer vent or express vulnerability without a level of self-editing that may feel — and be perceived as — inauthentic. Even things they might consider innocuous to say in a work context could end up making waves if shared online.

It might not be obvious to everyone, but it is true: the more that posts are tailored to specific circles in a social world, the less risk there is that they will cause offense or embarrassment. Thus, for anyone willing to invest the time and effort, we recommend a more sophisticated strategy, the Custom strategy, in which social media users manage both their audience and their content. This is what Google+ was designed to facilitate. We also found people doing this on Facebook by creating two lists, one personal and another professional, and posting different content to these lists. Thus they safeguard their professional reputations while still maintaining an honest and lively Facebook identity. Custom strategies tend to be employed by journalists and public figures, who often set up distinct accounts to make absolutely clear when they are and aren’t speaking in a professional capacity.

We come away from our study with a belief that most professionals would be best served by a Custom or a Content strategy. A Custom Strategy allows for richer relationships to be forged with peers through the sharing of information that goes beyond the strictly professional. At the same time, it saves the boss from seeing too many party and baby pictures, and spares friends all the job-related content that means nothing to them. However, you must have the capabilities to execute this Custom strategy effectively or else it could backfire. A Content strategy is the next best alternative that requires fewer capabilities, but may allow you to connect with a broad audience effectively.

But again, the important thing is for employees to make strategy choices for themselves – with their eyes open to the risks; with an understanding that no personal social media strategy is perfect; and with an awareness that context matters. Some industries are more formal than others; some organizational or country cultures may be more or less open to “letting it all hang out.” Managers who think through their own social media strategies and put these topics on the table aren’t hassling people, they’re helping them. They’re making it easier to avoid social media’s troubles, and to access its treasures.

Authors:
- Ariane Ollier-Malaterre
- Nancy Rothbard
Original POST
September 22, 2015