Do consumers really understand “native advertising” labeling?

There’s no question that “native advertising” – paid editorial content – has become a popular “go-to” marketing tactic. After all, it’s based on the time-tested notion that people don’t like advertising, and they’re more likely to pay attention to information that looks more like a news article than an ad.

Back in the days of print-only media, paid editorial placements were often labeled as “advertorials.” But these days we’re seeing a plethora of ways to label them – whether identified as “sponsored content,” “paid posts,” or using some kind of lead-in descriptor such as “presented by …”

Behind all of the verbal gymnastics is the notion that people may not easily distinguish native advertising from true editorial if the identification can be kept somewhat euphemistic. At the same time, the verbal “sleight of hand” raises concerns about the obfuscation that seems to be going on.

These dynamics have been tested. One such test, conducted several years ago by ad tech company TripleLift, used biometric eye-tracking to see how people would view the same piece of native advertising, that carries different disclosure labeling.

The results were revealing. Here are the percentages of participants who saw each ad, based on how the content was labeled:

  • Presented by” labeling: ~39% saw the content
  • “Sponsored by” labeling: ~29%
  • “Promoted by” labeling: ~26%
  • “Brought to you by” labeling: ~24%
  • “Advertisement” labeling: ~23%

Notice that the content that was labeled “advertisement” was noticed the least often. This provides yet more confirmation that people ignore ads.  When advertisers used softer/fuzzier terms like “presented by” and “sponsored by,” they achieved a bigger lift in the content being noticed.

It comes as little surprise that those same “presented by” and “sponsored by” labels are also the most potentially confusing to people regarding whether the item is paid content. And when people find out the truth, they tend to feel deceived.

Members of the Association of National Advertisers look at it the same way. In an ANA survey of its members conducted several years ago, two-thirds of the respondents agreed that there should be “clear disclosure” of native ads – even if there’s a lack of consensus regarding who should be responsible for the labeling or what constitutes “clear” disclosure.

Asked which labeling describes native ad disclosure “very well,” here’s what the ANA survey found:

  • “Advertisement”: 62% say this labeling describes native ad placements “very well”
  • “Paid content”: 37%
  • “Paid posts”: 34%
  • “Sponsored by”: 31%
  • “Native advertising”: 12%
  • “Presented by”: 11%
  • “Promoted by”: 11%
  • “Branded content”: 8%
  • “Featured partner”: 8%

Considering that the findings are all over the map, it would be nice if a universal method of disclosure could be devised. But the language that’s agreed upon shouldn’t scare away readers, since in so many cases native advertising isn’t directly pitching a product or service.  Labeling such content “advertising” would be as much of a misnomer as failing to divulge the company paying for the placement.

My personal preference for adopting consistent labeling language among the options above would be “Sponsored by …”  What’s yours?

Roads to … nowhere?

Google Maps admits its business listings are riddled with errors and outright fraudulent entries.

The news reports hit fast and furious this week when the media got wind of the millions upon millions of “faux” business listings on Google Maps, thanks to a new Wall Street Journal exposé.

It’s true that there are a ton of map listings displayed by Google on search engine results pages, but the latest estimates are that there are more than 11 million falsely listed businesses that pop up on Google searches on any given business day.

That number may seem eyebrow-raising, but it’s hardly “new news.” Recall the reports that date as far back as a half-decade — to wit:

  • In 2014, cyber-security expert Bryan Seely showed how easy it was to use the Internet’s open architecture to record telephone conversations and create fraudulent Google Maps listings and locations.
  • In 2017, Google released a report titled Pinning Down Abuse on Google Maps, wherein it was estimated that one in ten fake listings belonged to actual real-live businesses such as restaurants and motels, but that nefarious third-parties had claimed ownership of them. Why do this? So that the unscrupulous bad-actors could deceive the targeted businesses into paying search referral fees.

Google is owning up to its continuing challenges, this week issuing a statement as follows:

“We understand the concerns of those people and businesses impacted by local business scammers, and back in 2017 we announced the progress we’d made. There was still work to be done then, and there’s still work to be done now.  We have an entire team dedicated to addressing these issues and taking constant action to remove profiles that violate our policies.”

But is “constant action” enough? Certain business trades are so riddled with fake listings, it’s probably best to steer clear of them altogether.  Electricians, plumbers and other contractors are particularly sketchy categories, where roughly 40% of Google Maps listings are estimated to be fraudulent entries.

The Wall Street Journal‘s recent exposé, published on June 24th, reported on a search its researchers conducted for plumbers in New York City.  Of the top 20 Google search results returned, only two actually exist where they’re reported to be located and accept customers at the addresses listed.  That’s pretty awful performance even if you’re grading on a curve.

A measure of progress has been made; Google reports that in 2018 it removed some 3 million fake business listings. But that still leaves another 11 million of them out there, silently mocking …

The evolution of e-mail.

It’s all about mobility now.

With the proliferation of mobile screens in both the business and personal environments, it was bound to have an impact on the way that people interact with e-communications.

And now we see the extent.  Recently-released stats from e-mail software and analytics company Litmus in its 2019 State of Email report reveal that ~43% of all e-mails are now being opened on mobile devices.

That compares to ~39% being opened in webmail and just ~18% in desktop applications.

How this is playing out is pretty clear.  People are riffling through e-mails on their mobile devices to determine what to keep and what to delete.  They might come back to the saved e-mails on a different (larger) device, but the first cut is most often via mobile.

This sort of “triage” behavior is happening in the workplace as much as in personal communications.  What it means is that the initial impression an e-mail leaves has to be super-effective like never before. The “from” line and the “subject” line have to work harder than ever to draw the attention of the viewer and avoid a quick consignment to the recycle bin.

Only slightly less important are the first one or two sentences of the e-mail content — particularly for those people who choose to have preview options activated.

It’s putting more emphasis than ever on “mere words” rather than photos, other images or eye-catching design. In an ironic twist, we’ve come full circle and are now back to where it all started with messages hundreds of years ago:  words, words and words.

Another interesting consequence is the second look that some marketers are giving to direct mail, which — although clearly more costly than e-communications – does provide far better way to draw attention of a target audience through design and imagery instead of the quick trip to the trash bin.

The Litmus 2019 State of Email report can be downloaded here.

Is third-party marketing data on life support?

As a marketing professional for the better part of four decades, I can’t imagine any of us doing our jobs without soaking up as much data as possible to help with our decision-making.

And data accessibility is miles ahead of where it was when I first entered the marketing field.  Back in the day, “finding data” meant hitting the reference libraries to access government or other reporting – especially if you were lucky enough to be located within a reasonable distance of one.

There was the phone for real-time information-gathering … and also the FAX machine for quick receipt of “facts in brief” — not to mention the “wait-and-wish-for” mail and package delivery services.

If it was insight you needed from customers or prospects about a new industry or business venture, primary research was always an option — if you had the money and the time to allocate to the effort.

As for “first-party” data, that was available as well – but how often were we at the mercy of the bureaucratic machinations of in-house IT departments to get even basic data requests processed in a timely way?

All of which is to say that marketers have always used data – but the quantity wasn’t as great, while the timeframe of data acquisition was at a snail’s pace compared to today’s reality.

But now, after having become quite spoiled at the availability of all sorts of information, might it be that we’re regressing a little?

In particular, third-party information purchased in bulk, often from data aggregators, seems to be where the backsliding is occurring.

Consider ad targeting and building audiences: We have access to valuable first-party data thanks to website analytics and studying the results of our own e-mail campaigns.

There’s no question that the first- and second-party data which marketers are able to access are highly valuable in that the information creates efficiencies in campaigns and drives higher conversion rates. But theoretically, the ability to layer on accurate third-party data would take things even further.

There’s also been third-party behavioral data from three big behemoths — Google, Facebook and Amazon – that can be used for MarComm targeting purposes. But of those three platforms, just one of them allows third-party data to be made publicly available to end-users.

This poses challenges for the suppliers that aggregate and sell third-party data, as the quantity and quality of their information isn’t on the upswing at all.

Fundamentally, finding a good source for third-party data entails understanding what sources each data aggregator is using and the methodology it employs to collect the data.  Factors of scale, quality, reputation and price also come into play.

But despite best efforts, when testing third-party data for MarComm campaigns and lead-generation efforts the results are often pretty ugly — the data loaded with inaccuracies and basically terrible for efficiency metrics.

It doesn’t help that with the rise of Amazon as yet another “walled garden” of data, the “open web” represents a ever-smaller portion of the total ad spend — and hence also a decreasing amount of the third-party data that’s available to end-users.

With the veracity of third-party data becoming more suspect, it’s had an interesting effect on data management platforms, which are now focusing more on the actual messages themselves and not the “personas” of the people receiving the messages or how they were identified and targeted.

Is it possible for third-party data to provide good information to AI systems — intelligence that can verify and augment the value of the first-party data? If leading ad platforms can use such third-party data to enhance the accuracy and value of what they sell to advertisers, there still may be valuable material to work with.  As it stands, though, I’m not sure that’s the case.

What are your experiences?  Please share your perspectives with other readers here.

Programmatic ad buying in the B-to-B sector: The adoption rate grinds to a halt.

Each year, Dun & Bradstreet publishes its Data-Driven Marketing & Advertising Outlook report.  The report’s findings are based on a survey of marketers in the business-to-business sector.  Among the questions asked of marketers is about the advertising tactics they utilize in support of their sales and business objectives.

A look at D&B’s annual outlook reports over the past several years, an interesting trend has emerged: The adoption rate of B-to-B companies being involved in programmatic ad buying has plateaued at somewhat below 65% of firms.

In fact, you have to go back to 2015 in D&B’s reports to find the proportion of companies involved in programmatic advertising running significantly below where it is now.

That being said, those firms that are involved in programmatic ad buying are planning on allocating additional funds to the effort. The most recent survey finds that ~60% of the respondents involved in programmatic advertising plan to increase their spending in 2019.  That includes ~20% who plan to allocate a significant dollar increase of 25% or greater.

Another interesting finding from the 2018 survey is that there appears to be slightly less interest in display and video programmatic ad placements – although display remains the most commonly run ad type.

Where heightened interest lies includes one category that should come as no surprise – mobile advertising – as well as several that might be more unexpected. Social media advertising seems like it wouldn’t be a very significant part of most B-to-B ad buyers’ bag of tricks, but two-thirds of respondents reported that programmatic advertising in that sector will be increasing.

Another interesting development is that ~17% of the respondents reported that they’re stepping up their programmatic buying for TV advertising – which may be an interesting portent of the future.

Lastly, the survey revealed little change in the types of challenges respondents face about programmatic ad buying – namely, how to target the right audiences more effectively, how to measure results, and the need for better technical and operational knowledge for those charged with overseeing programmatic ad efforts inside their companies.

More information and findings from the 2018 D&B report can be viewed here.

“Same old, same old”: Retailers are sending the same e-mails to the same people.

As with so many aspects of marketing these days, data segmentation is key to the success of retailers’ sales efforts.

E-marketing may well be the most cost-effective method for reaching customers and driving business, but a recent analysis by Gartner of retail e-marketing activities shows that many retailers are employing tactics that are neither well-targeted … nor particularly compelling.

The Gartner analysis was performed earlier this year and published in a report titled Discount Emails — The New Playbook.  The analysis covered more than 98,000 e-mail campaigns conducted by 100 national retail brands.

Trumpeting discounts is one of the oldest tactics in marketing, of course, so it comes as little surprise that those sales messages are pervasive in e-marketing as well.

In fact, Gartner finds that more than half of all e-mail campaigns by retailers feature discounts in their subject lines.  Those discount messages are typically sent to nearly 40% of the retailers’ e-mail list — meaning that discount messaging targets broad segments of customers.

Gartner finds that those discount offers generate a ~16% open rate, on average.

Contrast this with retargeting and remarketing e-mails. They make up a much smaller fraction of the e-mail volume, but pull much higher open rates (around 31%).  Abandoned shopping cart e-mails generate an even higher average open rate of 32%.

“Welcome” e-mails tend to do well, too — in the 25% to 30% open rate range.

Gartner’s conclusion is as follows:

“Brands that employ less frequent, but timely, relevant e-mails triggered by customer site engagement or transaction outperform their peers.”

Gartner also found that the average national retail brand has more than 25% of its e-mail database overlapping with other national retailer e-lists, making it even more important for brands to differentiate the language of their e-mail subject lines and to engage in more data-driven e-mail targeting in order for their marketing to stand out from the pack.

Let’s see if the national retail brands get better at this over the coming year.