Social networks

Two Truths and a Lie: the “if it seems too good to be true” edition

August 19, 2018 by Susan Getgood

This week we opened the show with a brief rundown of the BlogHer Creators Summit, and then moved to the main event, our discussion of fraud, the responsibility of the social platforms to remove hate speech and meme accounts.

It was my 14th BlogHer (not counting food, business etc., the offshoot shows of which I missed a few) but just the “main” summer event. The format was a bit different than past, with most of the action on the main stage throughout the day. Some of the highlights were: Christy Turlington Burns and Kirsten Gillebrand discussing maternal health and the need to VOTE, P&G exec Shelly McNamara on her experiences as an out gay executive in corporate America, Mattel’s new career Barbies and meeting Voice of the Year honoree Dr. Alaa Murabit.

Fraud is still very much in the digital media news. Instagram fraud had the headlines a few weeks ago, and likely will again (!) but last week saw an expose in the New York Times about YouTube fraud and concerns from advertisers about GDPR fraud in the form of false consent strings.

Truth number 1 this week is that if it seems too good to be true, it probably isn’t. True.

Impressions, views, page views are all important starting points to understand DELIVERY but we need to focus on the engaged audience, and our results in that context. Looking at engagements instead of reach starts to counteract the fraudsters. Not completely, but a start. Artificial Intelligence cuts both ways. It is easier for the bad guys to create fake accounts and fake comments, but it is also getting easier to spot them. When we remove the suspicious activity from the results, we can look at the legit activity and engagements, for a better answer.

At long last, this month the platforms began (finally) to take action against hate monger Alex Jones. Apple removed it from podcasts, Spotify, Facebook and YouTube took action, removing content and deactivating accounts but there is still a great deal of inconsistency within the platforms. And Twitter did nothing.

Truth #2 is that while we should be grateful for less Alex Jones on the Internet, we need to hold the platforms accountable to do more.

Any action by the social platforms to reduce the volume of hate speech and lies by bigots like Alex Jones is a GOOD thing, no matter how excessively long it took them to get there or how incomplete the response. There is LESS Alex Jones on the Internet today and for that we should be grateful. But…. it did take far too long and we must hold them accountable. They do not get a pass on resolving the inconsistencies among their different services.

In the SNCR fake news survey last fall, marketers said that platforms had a responsibility to resolve the problem of unsafe, untrue content. Part of the response must include clear consistent policies across all services and enforcement thereof.

The myth or lie —
Bots and Meme accounts can replace authentic influencer content, and since they are much easier to control, are a good alternative to customer activation. No, no, a thousand times no.

If you want to make a SOCIAL BOT or use chat BOTs in your strategy, that is a legitimate choice, and can be very successful, but be honest about it. If you are mimicking actual human SOCIAL engagement, the consumer deserves to know she or he is chatting with a bot. It won’t matter to many, especially Gen Z that is already so accustomed to engaging with digital avatars. But they should be informed.

As far as memes go, by all means use them. They are a crucial tool for earned social shares. But don’t think meme accounts can replace the voice of your customer as an influencer, not just a re-share. Use them alongside influencers but not instead.

Two Truths & a Lie about Brand Safety

August 16, 2018 by Susan Getgood

This summer is flying by. We skipped Two Truths last week, largely because I was at the BlogHer Creators Summit for 2 days and the atmosphere was bustling! Way too noisy to record a Facebook Live show with my minimal equipment. I’d probably forget to plug in the mic again 😉

When I started pulling together the posts for tomorrow’s episode, I realized I never posted the August 2d one. So, here it is, very late, but oddly the content is still timely.

The Truths
1. Both YT and FB blocked Alex Jones this week, but it seems like a drop in the bucket for the fake news problem and advertisers concerned about the context in which their ads might appear. Brand Safety is cited by advertisers as a top concern; consumers care about fake news / want to trust social platforms. but FB and Twitter both took a hit in their stock price because user growth dropped and resources were applied (however grudgingly) to these areas. This implies that taking an action / stance on privacy/data integrity has a cost beyond simply the expense of doing the “thing.”

2. Influencer platforms are rushing to release their “fraudometers” to show the integrity/quality of their networks. We discussed some of the models, but there is no standard for this. Everyone’s just applying their own opinion, whether human or machine derived, to define “fake” follower. In the end, it is also the wrong question. Understanding the fraudulent followers is an exercise to tick off a box. What we really want to understand is what percentage of an audience engages with the content, and then if we are a brand, what percentage of THAT engages with us.

Myth
Brand Safety is a myth. You cannot control all aspects on digital and social. You can get closer with advertising with ad tech tools and things like ads.text, private marketplaces, and guaranteed programmatic, but on social media? People are messy. You can’t control the comments or reshares and sometimes even your influencers go off script and do wacky stuff. Think PewdiePie and Logan Paul. On social, relationships are the keys to brand safety.

Resources mentioned in the show: Five Charts Explaining the State of Brand Safety

From BOTS to BOUGHT: The “crisis” in influencer marketing

June 29, 2018 by Susan Getgood

Today, Digiday published the confessions of a former influencer describing widespread fraud in the influencer marketing space, focusing largely on bought followers on Instagram, where influencers regularly amassed followers literally overnight in order to compete for coveted fashion and beauty deals. All to meet the demand of advertisers and their agencies for scale. Reach was the de facto result. This is absolutely 100% true, I have no doubt.

It’s also not influencer marketing. We have to be REALLY careful to not throw the baby out with this admittedly nasty AF bath water.

As I wrote last week, this fraud — and it is fraud — stems from the ad industry’s relentless pursuit of scale without a similar commitment to authenticity and performance metrics.

Influencer marketing works because it is human-centered, and humans beings don’t scale neatly with algorithmic and predictable precision.

In the 90s, anthropologist Robin Dunbar theorized that humans can only sustain a limited number of stable social relationships; 150 is commonly cited as the upper limit. While modern communication has changed how this dynamic works, as we are able to move more fluidly from group to group, online and off, and may participate in multiple networks of people with whom we share common interests, we should always keep Dunbar’s number in mind when thinking about how influence works. The ripple effect of a recommendation matters just as much as the initial impact. Much harder to measure of course, but just because something is hard doesn’t mean we should not strive to do it.

Influencer marketing done right is building relationships with customers over time, who serve as the advocates for your brand to their friends, fans and followers. You know and trust them. Their audience knows and trusts them. You work together to achieve a common goal. Kumbaya and all.

Influencer marketing works because we do move in and out of different groups online, and when we share a recommendation from one into another, we form a ripple on the pond. What’s been missing is way to independently assess the audience of influencers to verify that they do have the right audience. Independent of and across the platforms, independent of the agencies. It’s challenging, and even more so if you respect individual privacy rights. I’m working on some things in this space. More to come.

In the meantime, the best approach is to understand that the best results from influencer marketing don’t come from scale. They come from trusted relationships over time.

The other issue exposed in the Digiday Confession is poor measurement practices.

Reach is a delivery metric. It tells us whether we executed our social tactic successfully. It is not a performance metric. Performance is engagement with content, and your objectives dictate whether you are working toward likes, shares and comments, or driving all the way down the funnel to conversion. Reach is not a result.

The Digiday piece also shared that boosting posts, at least in this confessor’s situation, was just as fraudulent, reaching folks not even remotely in the audience target purely to shore up the numbers. This is just straight up bad practice. Boosting posts simply to increase the reach is a waste of money. You should ONLY boost your best-performing content, the content that is getting verified engagement, to expose it to a larger or different audience. Do not boost your turkeys. Let them fade away.

What about the BOTS?
The other article that caught my attention this morning was a piece on CNN about Lil Miquela, an influential CGI (computer generated image) that amassed quite a following before it was revealed that she was a CGI.

My opinion? If CGIs advocate for brands and someone is compensated for the endorsement, it is advertising, straight up, and should be disclosed. Ethically, I think it should be disclosed even if they are not doing brand or cause related work, because they are a construct, and consumers should know.

Personally, I’m not sure I love the idea of people modeling themselves after, being influenced by, robots, but as long as it is fully disclosed as CGI advertising, I don’t see why brands shouldn’t have the option to use CGI tools to deliver their message. They can dictate the message and don’t have to worry about the opinion of the CGI. Likewise if they use BOT accounts to manage message flow or respond for the brand in place of human CSRs. It’s okay as long as you tell people they are engaging with a BOT.

But CGIs and BOTs are not influencer marketing. They are simply innovations in advertising.

Customer-Centric Marketing. An idea whose time has FINALLY come?

May 9, 2018 by Susan Getgood

Activating the passion that consumers have for the brands they love and turning them into your advocates is the secret sauce to identifying and converting new customers as well as increasing the loyalty of retained customers.

This simple concept, customer-centric marketing, has been the basis of my work for more than 20 years. It’s why I embraced blogs and then social media so wholeheartedly. It’s why I advocate so strongly for transparency, authenticity and disclosure, because they foster trust, the currency of social interaction. Online and off. It’s why I have embraced GDPR and other privacy initiatives for the promise they offer to build strong relationships with customers based on a balanced, informed value exchange for personal data.

Customer-centric marketing is also an idea that is often given lip-service, but not nearly as often embedded in our corporate DNA. We talk a good game about building relationships with customers, incorporating consumer feedback, building products and services that delight them. But when it comes time to implement the marketing plan, we use the language of war. We target audiences. We deploy tactics. We execute plans. We profile the customers into personas who are expected to follow prescribed patterns of behavior.

Which is fine, to a point. It would be foolish not to aim your marketing efforts at the audience most likely to buy. But our language and our tactics both tend to dehumanize our customer, to the point that we forget they are people and not just impressions or clicks or conversions or profiles. Taken to the extreme, and make no mistake modern digital marketing exists on the very edge of this extreme, our marketing isn’t just automated, it’s robotic, and not in a good way.

More human tactics like social marketing, influencer engagement, event marketing and even branded content restore the balance and remind us that customers aren’t simply segmented groups of purchasing behaviors, they are people. Living, breathing people who love our products and services, and are simply waiting to be asked. While these tactics are very often more effective, they are nearly always more expensive than digital advertising which uses programmatic buying and consumer targeting to reach the right audiences cheaply, at scale.

The good news, for advocates of more human centered approaches (like me), is that GDPR promises to reduce that financial gap. The SUPPLY for targeted ads will be diminished when (inevitably) publishers can’t document permission or consumers withdraw permission. It also will be more expensive to deliver an audience targeted PROPERLY with personal data. Both scenarios will increase CPMs for the remaining inventory. More on these and other scenarios in Marketing Week.

Certainly, contextual targeting will pick up the slack for digital advertising. There also will still be a market for premium permission-targeted audiences. Niche publishers in particular have tremendous incentive to develop a strong value proposition, both for their content and in exchange for the use of personal data for targeting. I wrote about this last fall.

As the cost gap closes between digital advertising at scale and more engaging tactics like influencer marketing and branded content, marketers will have incentive to shift budget to customer-centric marketing, where relevance can be proven by our interest and engagement with content and brands, not simply implied by our browsing history or past purchasing behavior.

It’s then up to us as marketers to create the compelling, customer-centric campaigns that engage consumers and convert prospects to buyers.

I’m game!

—

Additional Reading on GDPR. Tick Tock. Less than 3 weeks to go.

A column from the UK’s Marketing Week that shares a similar perspective on the opportunity to my own: Ben Davis: GDPR is the bible of customer-centricity
Overview from Ad Exchanger on Google’s Policy: Google’s GDPR Consent Tool Will Limit Publishers To 12 Ad Tech Vendors
Nice piece from AdAge: Publishing Trade Groups Criticize Google over GDPR Policy Sidebar: I find Google’s position that it is a data controller particularly interesting in light of its usual claim that it is a tech company, not a publisher or media company. It seems inconsistent that it would have first-party rights, as a controller, over data related to a content audience if it is not providing service to the audience directly (ie the content ) but only indirectly, via the services it provides to the publisher.
Sweet piece from TechCrunch on Facebook’s response

Influencer Marketing and Instagram: The peril of quantity over quality – MediaKix’s fake Instagram project

August 15, 2017 by Susan Getgood

Earlier this month, influencer marketing company MediaKix released How Anyone Can Get Paid To Be An Instagram Influencer With $300 (or Less) Overnight, a project it undertook to prove whether was possible to game the system of influencer engagement on Instagram. In short, how easy is it to create fake Instagram profiles, purchase followers and then get offered sponsored content opportunities by the major influencer marketing platforms?

Turns out, pretty easy, at least for the two profiles the firm created – one focused on beauty, and the other on travel, not coincidentally I am certain, two content areas where Instagram is particularly strong, and the demand high for influencers with scale.

This has spawned a great deal of coverage in the industry trades over the past week, including AdWeek, PR giant Edelman and Digiday. All bemoaning the fact that it is possible to game a social network and artificially inflate followers and engagement.

I’m mostly surprised that anyone IS surprised. The demand for volume, for more, more, more – bigger reach, more likes, more clicks — is bound to lead to both fraud and waste. It did in advertising, in search of the almighty click, and it has in social, in search of likes, comments, shares AND clicks.

Let’s take the two problems separately. Fraud is the intent to deceive by artificially inflating numbers, whether buying followers or engagements. Waste is the natural by-product of scale. Not every legitimate viewer/reader of a message is the target, no matter how good our demographic and behavioral targeting. Even today, with the phenomenal matching made possible by programmatic advertising, there will be waste, and targeting on social is a mixed bag. You can do it within a social platform like Facebook, but not across platforms.

In my opinion, the platforms are responsible for posting the first level of defense against fraud in influencer marketing. The social platforms, to police the activity and manage fraudulent accounts effectively. The influencer platforms, to build similar checks and balances into their technology so brands can trust their influencer recommendations.

Managing the impact of waste, however, is part of the influencer marketing strategy. Our best offense is to put scale in its proper place in the strategy. Quantity – followers, likes, comments, shares, clicks – is not the only metric that matters. Quality of engagement is just as important. In the long run, perhaps more important. That means balancing your strategy, and including tactics that lead to deeper engagements with your current and potential customers as well as broader, more volume-centric microinfluencer tactics.

Remember: the influencer who matters is your customer. Always. That’s why influencer marketing works.

FTC Endorsement Guidelines Update: Disclosing a Sweeps or Contest Entry on Social Media

April 1, 2014 by Susan Getgood

Disclosure: Not a lawyer. Don’t play one on the Internet. But I’ve studied the FTC endorsement guidelines. A lot.

Yesterday news broke that the FTC had issued a warning to shoe manufacturer Cole Haan, notifying it that the disclosures used by consumers in its Wandering Sole contest on Pinterest were not sufficiently clear as to the potential material connection between contest entrants and the company. Said the letter (as quoted in MediaPost):

“We do not believe that the “#WanderingSole” hashtag adequately communicated the financial incentive — a material connection — between contestants and Cole Haan,” Mary Engle, FTC associate director for advertising practices, said in a letter sent to the retailer’s attorneys on March 20.

This represents an evolution in the FTC’s thinking with regard to disclosure of a sweepstakes or contest entry. In the early days, it did not explicitly require such a disclosure when a blogger mentioned a brand in a post to enter a sweeps or contest. In part, because there was no material relationship between the parties, so there was nothing to disclose. And, for the most part, back then (2010!), in text-based formats like blogs and Twitter, sweeps and contest entries were often disclosed as part of the entry instructions. Hence no confusion. [Facebook only allowed contest entries on pages recently.]

So what has changed? The endorsement guidelines are grounded in two basic concepts:

is there a material (compensated) relationship between the parties, and
is there a possibility of consumer confusion about the relationship?

In my opinion, the FTC’s thinking has evolved due to the prevalence of contest and sweepstakes entries, particularly on the highly visual Pinterest, that mimic organic endorsements, and do not have clear disclosure that they are a contest or sweepstakes entry. In other words, that the posting is motivated by a commercial incentive, not an organic interest in the product. Quite simply, all these sweeps and contests were causing too much consumer confusion.

The resolution is pretty simple, and follows the same simple guidelines that normal disclosure does. When possible, use natural language to disclose the relationship (Pinned for the Blah Blah Sweepstakes) and use clear hashtags (#sweepsentry) or @ addressing (@BlahSweepsEntry) to make it crystal clear. Using the hashtag or @ addressing is useful even if you also require a natural language disclosure as it makes it easier to track the entries. IMPORTANT: Make the proper disclosure part of the requirements to enter the sweeps or contest.

Matching the social platform to the marketing objective

December 31, 2013 by Susan Getgood

Matching the social platform used in a marketing campaign to the marketing objective of the campaign is the first step of successful strategy. Yet, all too often, early adopters rush to the shiny new object, regardless of whether it is the right choice for the specific need. And on the extreme opposite of the spectrum, risk averse marketers wait. And wait. Until all the proof is in, and any opportunity for first (or even second) mover advantage is lost.

We want to aim for the middle ground – to be in the right place for our audience with the right message at the right time.

Let’s break it down.

Right platform? Consider the social platform in the context of your marketing objectives. Is the platform conducive to your marketing need?

Blogs: The deep content on blogs drives readers through to consideration and often purchase. More than 85% of the BlogHer audience has purchased a product based on a recommendation from a blog (BlogHer Social Media Matters 2012).
Pinterest: Its curated content with aspirational and inspirational appeal acts as long term consideration sets for consumers.
Facebook: Personal connections pique interest and foster consideration.
Twitter: Broad amplification drives awareness

The Social Purchasing Funnel
Image Source: BlogHer marketing materials

Right time? Is your audience actively using the social platform? If your customers aren’t actively using a social platform, it doesn’t matter that it is the hot new thing. It is not the hot new thing for your brand. Continue to monitor, but move on, at least for now, for your overall marketing strategy. If you sense potential for the platform, be vigilant for an inflection point – that moment when enough of your audience is actively using the platform for it to be potentially useful in your marketing strategy. Maybe even test it with small pilot projects, but don’t expect any ROI from these pilots other than knowledge about the platform and your customer base. You are asking for failure if you expect your pilot project to deliver significant sales results.

Right message? Is your audience receptive to hearing about or engaging with your brand on this social channel? That they might not want to talk about your product doesn’t mean they might not engage with your company on related topics, but be honest about what you are bringing to the online conversation. Some advice I wrote in 2008 about the secret sauce for a perfect blog pitch might prove useful in this exercise.

You should spend at least as much time thinking about WHAT you want them to say/do, HOW you want them to react and engage with your brand, as you do slicing and dicing the demographics. More really, but I’ll settle for equal time to start. The social platform may be perfect and your audience ready and willing to engage with you, but if your message is forced and inauthentic, it will at best fall flat. At worst, you’ll understand the dark side of “viral” which is far closer to the real world meaning of the word than the sentiment behind the oft-repeated mantra of the social era: <clueless enthusiasm> let’s hope our story goes viral !</clueless enthusiasm>

Spend the time to sanity check your message and your ask, against the audience and the platform, and once you get started, monitor the community reaction closely and adjust as necessary. Spelling your name right is not a good substitute for positive brand awareness and corporate goodwill.

Social networks

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