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Two Truths and a Lie Episode #1: Influencer Marketing

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Last Thursday, we launched Two Truths and a Lie, a weekly Facebook Live on marketing and digital media.

Every week, my co-host Gregarious Narain from beforealpha.com and I will dig into a marketing topic through the lens of two truths and a lie, or more accurately, a commonly held myth. We’ll be joined by guests every few weeks for additional perspectives on the hot topics in digital and social media, but always through the lens of 2 truths and a lie.

The show will be broadcast live from my Facebook page, and posted on both my Facebook and here on Marketing Roadmaps for those that would like to watch the full 20 minute show.  The following day, a highlights version will be posted as part of the alphathoughts series on the Before Alpha LinkedIn page. 

In our very first episode, we discussed influencer marketing.

The Truths:

  1. The influencer marketing space is consolidating.
  2. Small audiences can be more effective than big ones.

The Myth:

  • Influencer Marketing is full of fraud.

Check it out:

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

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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.

On Personalization and Targeting

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There is no question that the digital media industry has been disrupted by the Global Data Privacy Regulation (GDPR). It’s been at the top of advertising news for weeks, and while the volume of articles may decline, the impact of the law has just begun.

I used to say that consumers like ad targeting, because it ensures that we see ads that match our preferences, but I now have a more nuanced view. It’s not targeting that meets with our approval. No one likes being stalked by the slipper ad simply because we clicked it once on Facebook. Ad targeting relies too much on assumptions about past behaviors based on lookalikes and other data matching. It’s close, but very often, not. quite. right.

What we really want is personalization. To be addressed by our (correct) name when appropriate. To be presented with products that match our age, stage, and personal preferences. To be offered content (and ads) relevant to our interests.

First party data drives personalization, which is far more powerful than targeting.

Personalization is going to a store where the clerk greets you by name, asks if there is something special you want, and then offers solutions based on your answers. Targeting is the clerk stalking you through the store, thrusting products in your face based on an assessment of your “profile.”

I’ve written quite a bit about the opportunity we have to reforge better, consent-based relationships with customers in which we offer real, sustaining value for the privilege of using their personal data. Here are some ideas on what we might do.

Don’t ask users for too much or unnecessary information. Only ask for what you need to deliver value back to them. We’ve gotten so used to collecting everything under the sun, “just in case” and for targeting later marketing efforts, regardless of whether it makes sense or we have a specific use for the data. For example, buying a concert ticket. Certainly we need credit card information and the billing address to verify it. But we don’t need annual income or gender or marital status to deliver a concert ticket. We ask those questions out of habit, so the data set is complete.

GDPR requires that we inform users how we will use the data, but I recommend we do a better job than a blanket “for business purposes.” Have a reason that adds value for the consumer, especially for asks that go beyond those needed for the transaction. For example, your event is planning special activities for families with children, but to staff them appropriately, you’d like to know ages of the children attending. It’s reasonable to ask for this information during registration.

Encourage loyalty and repeat visits to your content by using the data your customers do share with you to personalize the experience. This could be as simple as customizing their “ front page” into your site with content that matches their preferences to explicitly making recommendations for products and services. Pinterest and Flipboard are examples of content platforms whose business model is built on the simple concept of consumers driving personalization by sharing their preferences to create their own contextual experience. Both have had their challenges in recent years, with the hyper-focus on third-party data, programmatic and targeting, but both will now be increasingly relevant, as brands and publishers alike start thinking about contextual distribution as an effective alternative.

Engage your community. Include the customers in the content with active experiences, not just passive viewing. Be useful and entertaining. Interactive content. Reviews. Community forums. Online focus groups and surveys. Free tools and widgets that make their lives easier. Cool stuff. Real-life events too. Remember — the reason social media works is that it is social. The media is just the vehicle for the human connection we crave. With each other and with the brands we love. The more personal the consumer’s experience is with your brand, the more you build mutual trust and utility with your content (and yes, your marketing,) the more likely your customer is to share the personal data that will improve the experience. For example, a consumer might not want to share age or income with a news or lifestyle site, but have no problem sharing it with a financial site in exchange for using a college planning tool.

Speaking of social media, use it to foster connections, distribute content and promote your brand, but do not put all your eggs in a basket owned by another. Build your audience and your customer relationships on your owned properties.

There’s going to be a lot of noise and confusion around GDPR and its impact for some time to come. I’ve already heard the expected arguments that regulation stifles innovation. While there is some merit to the argument, regulation also offers an opportunity to be innovative. To find ways to solve business problems while respecting the social good — in this case personal privacy — that the law was created to protect.

Compliance with privacy laws has costs. Simply having best practices about privacy absent regulation, which some companies like Apple already do, has costs. But the opportunity for deep, sustained customer relationships is far greater. That’s where marketers should be placing their attention.

Glass half full.

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Not sure how to get started? I’d love to help you engage your customers, build loyalty and drive results for your brand with an innovative digital strategy and content ecosystem. Even better, the first hour is free. Email sgetgood@getgood.com to book your free consultation. I’ll give you some thought starters during our conversation, and we can go from there.

GDPR 101: Focus on your Customer

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GDPR, the EU’s Global Data Privacy Regulation, took effect at midnight Brussels time today.

In its Winners & Losers article, which I encourage you to read in full, Digiday comments  “Bluntly speaking, any business that doesn’t have a direct relationship with users is in for a difficult time,” and goes on to note subscription-focused publishers as one of the GDPR “winners.”

My 2 cents: Moving forward, every publisher, every brand needs to think like a subscription-focused business.

The game is no longer JUST about acquisition or impressions at scale. Audience targeting is about to undergo a major sea change as available inventory shrinks and costs to produce it increase.

Customer loyalty and customer permission are the long-term keys to success in a post-GDPR world. To get and keep them, we need to deliver a stellar experience for customers. This means:

  • building a well-loved, well-known brand;
  • creating excellent, well-organized content ecosystems that incorporate all the touchpoints consumers have with our brands;
  • delivering a quality personalized environment for customers/readers/viewers;
  • leveraging customers’ passion for the brand or content by engaging them in the content. Influencer marketing for sure, but also community forums, face-to-face events, private chats.

Remember: consumers like it when content and experiences are tailored to them. Even ads. But they need to be truly tailored to their preferences. No one likes to be stalked by shoe ads just because they looked at the shoes once and their income level matches the advertiser target.

A final note: GDPR is often compared to Y2K in terms of the scope of effort required to comply, and on some levels, this is true. However, Y2K did have an end point. Either your systems fell apart on January 1, 2000 or shortly thereafter, or they didn’t. GDPR on the other hand is far from over. This is just the beginning of a new media environment.

Fasten your seatbelts.

Digital media predictions for a post-GDPR world

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Last week, a business acquaintance made a ballsy prediction on LinkedIn for which he took a fair amount of flak. Posting a comment, I noted that his essential point was not that much of a stretch. Of course, there were nuances to the argument, but a long statement with a bunch of caveats wouldn’t be nearly as interesting or thought-provoking. Predictions have to push at the edges or people won’t pay attention. So, I figured it was time to step onto the ledge and make some predictions about the future of digital advertising. I’d love to hear what you think, agree or disagree.

1. In a post-GDPR world, targeted advertising is going to become more expensive. Not immediately. There is still a lot of confusion (some real, some manufactured) about what is required.  In the end, though, the increased costs of delivering compliant targeted audiences combined with a decrease in available inventory as consumers retract or refuse permission, will increase ad rates to premium, not programmatic, rates. I’ve been arguing this for a while and the pundits are finally admitting it. 

2. Context will be queen again. In order to reach the right audience, we will turn to content-centric, community-centric marketing tactics. In part because they ARE more effective in converting customers, but mostly because the cost differential between them and targeted/programmatic advertising won’t be so great. It will be just that much easier to take the leap of faith to try these tactics, which are still working out their success metrics (more about that in a bit.)

This is the opportunity for niche publishers and brands to create content for their micro-audiences that both provides the necessary context for ads and sponsored content and creates a relationship and value exchange in which the consumer is more likely to give permission for the specific use of personal data. As an example, Pepper & Wits, a new content site for women 45+ who are navigating menopause is owned by P&G; we certainly should expect sponsored content and other brand outreach but the primary purpose is to offer value to the consumer and targeted context, not targeted ads.

3. “If you aren’t paying, you’re the product” is a cliché whose days are numbered. Consumers will start to care about privacy. It has been a LONG time coming, but I truly believe that consumers are finally understanding the true cost of free digital services/platforms, and are going to want real value in exchange for the right to use their personal data. “Legitimate business interest” is not going to be sufficient to use a person’s data without permission. Publishers and brands who are offering great content and building relationships with consumers will have a far better chance of obtaining (and retaining) permission.

4. Things are about to get more competitive. Facebook and Google are vulnerable in this new advertising economy. They aren’t in danger by any means, but their models are based on scale, not relationships. They have no friends, just users. This opens up a sliver of opportunity for niche content publishers to create better experiences for consumers and pick off a little wedge of the pie. The duopoly will still get (more than) its fair share, but they will be handicapped in delivering their biggest strength, targeted audiences at scale, so the little guys can dart in and nab their share in areas where Facebook and Google cannot play effectively, content and community. Niche publishers, bloggers, even brands who can make the long haul investment. And Amazon. Amazon already does a better job of community than either Facebook or Google, is nipping at their heels and has a distinct e-commerce advantage. I also predict Reddit will make a strong play for the “community ad dollar.”

5. All of this will drive innovation. Certainly, in ad tech to manage consent, but that’s just the tip of the iceberg. Folks are already working on challenges like better measurement and attribution models that assign value properly and proportionally to all the players in the value chain, not just the last click. This is crucial for branded content, video, social media and influencer marketing.

Community is also getting some attention. Two start-ups doing interesting things to connect brands with consumers: Social Data Collective and Suzy. Suzy (AskSuzy.com) is the evolution of social media and influencer business Crowdtap. It helps advertisers make and manage meaningful connections with customers by offering them access to its super panel of consumers. Social Data Collective has a slightly different approach; it asks consumers to share personal data with the brands they love in exchange for products/services.

But I think even more interesting things are on the horizon. For example, aggregators of consumer information that validate consumer audiences and can compare them across properties, including blogs and YouTube and all the other places that community will form, not just sites big enough to register on comScore. Audience data all the way down the long tail to validate that the context IS delivering the right audience. This “data hole” has been the bête noire of the influencer marketing business, but there wasn’t a strong enough incentive to solve it, when advertisers could just buy targeted audiences cheaply. To sell content and community as the right context, you need the metrics to prove that you’ve got the goods. It’s coming. I am certain. And it won’t need PII (personally identifiable information) to do it.

We also need tools to give consumers control over their privacy across platforms and processors. Right now, if you think someone has compromised your private data or is using it without permission, good luck tracking it down. Blockchain is the best bet for creating this privacy audit trail. Someone is certainly working on this already. In fact, if you know who, I’d love to chat with them!!!

So there you have it. My predictions for the digital media industry. If you need me, I’ll just be out here teetering on the ledge.

P.S. If you want to check out the prediction of my business acquaintance, you can find it on LinkedIn.