Say Hello to your AI marketing guru
A complete revolution in the marketing industry is around the corner.
Dubbed by some as the “fourth industrial revolution,” AI bots will dominate this new marketing landscape in every conceivable way. Equipped with advanced machine learning technology, they will come up with holistic, data driven digital campaigns. From effective copywriting to lead scoring and churn prediction, bots will do it all.
Marketing of the future
So huge are the marketing potential, that tech giants are betting big on this new technology. At the recently held f8 developer conference, Zuckerberg talked about Facebook’s next big bet on smartphone camera augmented reality (AR) platform as the company’s “Act two.” Amazon, Uber, and Google have all big investments into AI as well.
Even smaller companies now want in. The American Genius already covered how Whisper, the anonymous messaging app launched “Perspective,” AI powered bot to provide readers with easy access to additional articles or videos of unique relevance when they are on a certain site.
In other words, bots will guide humans in every aspect of life.
Tesla’s Elon Musk went a step further. Humans must merge with AI machines in the near future, he said, or risk becoming irrelevant in a data-driven world.
Marketing strategies will be the first step in this merging process: future ads would merge many customers with their product experience in an effort to lure them into buying it.
Tech-tonic shifts will destroy employment
Technology will affect 30 percent of all marketing jobs in the next several years. Many jobs will simply dry up. For the few roles that do survive, performing the tasks would require highly specialized skills—in a drastic paradigm shift.
Experts predict increased leverage of two types of candidates —
1- those who are very good at mathematics, i.e., physicists, mathematicians and computer engineers;
2- neuroscientists with research work in human psychology or speech & language patterns.
The AI Achilles’ heel
But here are two important things to realize for employees who stand to lose their job to automation.
First, Very few people in the world can come up with sophisticated machine learning algorithms and the process is often inaccurate. The AI system requires constant tweaking of formulas, testing of parameters, and research into better metrics. Those require analytical skills beyond the computational capacity of bots.
Secondly, by no means shall this bot-powered, data driven world be foolproof. The ethical ambiguities and social implications of machines manipulating human emotions remain especially uncertain.
Here is one instance. Facebook researchers carried out a simple psychological test, unannounced. They tweaked their word count software to manipulate the News Feeds of 689,003 users. The goal—to secretly experiment whether simply viewing positive posts vis-à-vis negative posts could alter viewer’s emotional state.
The after-the-fact revelation led to this experiment being highly derided as manipulative, and the company apologized.
It underscored the inherent dangers of machine learning.
According to Carl Schmidt, Co-Founder and Chief Technology Officer at Unbounce, “Where we are really going to run into ethical issues is with extreme personalization. We’re going to teach machines how to be the ultimate salespeople, and they’re not going to care about whether you have a compulsive personality… They’re just going to care about success.”
The bot-resistant jobs
That is where the new era of non-technical marketing jobs would mostly be concentrated in—jobs that require strong cognitive and analytical thinking.
Do not freak out about the future if you are not a “math person.”
The industry would still require human emotional input at some level, and judgment calls based on complex sociological considerations and cultural sensibilities. That is where you would show your magic.
Thinking like a human would be the greatest asset for a marketing landscape driven by machine-learned bots.
TINA.org is helping the FTC crack down on Kardashian-esque influencers
(MARKETING NEWS) The Kardashians are just five of the seemingly endless amounts of influencers companies are using for marketing but TINA.org is over their tactics.
A brand could find no better influencers than the Kardashians – the family who proved that you can get famous just for, well, being famous. Each Kardashian sister has an astronomical number of followers, making them obvious trendsetters.
That’s why brands pay the Kardashian sisters – Kourtney, Kim, Khloé, Kendall, and Kylie — tens of thousands of dollars a pop to post pictures of themselves on social media using their products.
Perhaps you find it hard to believe that the Kardashians stop by Popeye’s Chicken to grab a to-go meal before boarding their private jet. Regardless, the Kardashians, and the brands who pay them to pump their products, would prefer that you believe that these endorsements reflect the Kardashian’s actual preferences, rather than the paychecks they receive for posting them.
The Kardashians have been attempting to make their endorsements seem more “authentic” by totally disregarding Federal Trade Commission (FTC) rules that require influencers to disclose when their posts are paid endorsements.
In August of 2016, Truth in Advertising (TINA.org) filed a complaint about the Kardashians to the FTC, saying that the (in)famous sisters had “failed to clearly and conspicuously disclose material connections to brands or the fact that the posts were paid ads, as required by federal law.”
After receiving a finger-wagging from the FTC, the Kardashian sisters corrected less than half of the posts, generally by adding #ad to the post. The remaining posts, according to a recent TINA.org follow-up investigation, either have not been edited at all, or contain “insufficient disclosures.”
For example, some posts now read #sp to indicated “sponsored” – as if anyone knows that reference. In another tactic that also got Warner Brothers and YouTube influencer PewDiePie in trouble with the FTC, the Kardashians are posting their disclosure information at the bottom of a long post so that users will only see it if they click “see more.”
The Kardashians have also been posting disclosures, but only days after the original post. Considering that the vast majority of viewers comment on or like posts within the first ten hours after it’s published, most of them will never see the disclosure when it’s tacked on days later.
Some of the “repeat offender” brands, who came up both in last year’s complaint and in the recent review, include Puma, Manuka Doctor, Jet Lux, Fit Tea, and Sugar Bear Hair. This time around, the Kardashians have also failed to disclose sponsorship on posts promoting Adidas, Lyft, Diff Eyewear, and Alexander Wang.
TINA.org found over 200 posts on Instagram, Facebook, and Snapchat where products are promoted without the Kardashians letting on that their raking in big bucks in exchange. The organization has notified the Kardashians, the brands they represent, and the FTC.
The FTC has recently been cracking down on deceptive influencer marketing, targeting not only the brands, but the influencers themselves.
In April, the FTC sent letters to 46 social media stars reminding them of their legal obligations to disclose, and followed up with 21 letters in September warning the influencers that they had until the end of the month to disclose sponsorships, or face legal consequences.
“The Kardashian/Jenner sisters are masterful marketers who are making millions of dollars from companies willing to turn a blind eye to the women’s misleading and deceptive social media marketing practices,” says TINA.org’s Executive Director Bonnie Patten. “It’s time the Kardashians were held accountable for their misdeeds.”
Dove dropped the olive branch with new ad campaign
(MARKETING NEWS) With any ad campaign there will be misses but take a note from Dove’s playbook and learn how to not repeat mistakes.
Dove’s latest Facebook ad really hit the mark for whitewashing in advertising. The ad, since removed, essentially implied their soap could turn a black woman into a clean white woman.
In a three-second video on the company’s Facebook page, three women transformed into the next when they removed their shirts. The first transition caused an uproar: a woman of color lifting a brown top over her head to reveal a different woman, who is very, very white.
Although the white woman then lifts her shirt to reveal another woman with darker hair and a darker skin tone, the initial transformation is problematic in its implications of whiteness as cleanliness.
Dove has since removed the ad and issued an apology, stating in a tweet “In an image we posted this week, we missed the mark in thoughtfully representing women of color and we deeply regret the offense that it has caused. The feedback that has been shared is important to us and we’ll use it to guide us in the future.”
Wait, haven’t we been here before? At this point you’d think skin care companies would have realized a little more delicacy is required when rolling out ad campaigns. Remember Nivea’s disastrous, short-lived “White is Purity” mishap? How about Dove’s other blunder in their 2011 VisibleCare ad?
These featured another series of three women standing in front of close-ups of skin, with the darker skinned woman in front of the “before” label, and the woman with the lightest skin by the “after” picture. Although Dove didn’t intend to imply white skin is cleaner, oops, that’s what happened anyways.
While Dove has gotten many things right in terms of inclusivity and featuring models of different racial and ethnic backgrounds, there have also been several instances of intentional racist missteps. Let’s use this as a teachable moment for handling marketing mishaps.
Whenever an ad campaign offends people, the company’s response can make or break the business. If you find yourself in the midst of a marketing crisis, you can take some mindful steps to manage the situation and begin repairing your public image.
First, acknowledge the problem and issue a genuine apology that gets to the core of what your audience is saying. Dove recognized they upset people, and instead of taking a defensive “sorry you felt offended” stance, took responsibility for their actions. Once an apology is issued, explain the original intent to provide context for the situation.
Dove meant to create an inclusive campaign featuring a diverse cast of women. Lola Ogunyemi, the first model featured in the now controversial shirt ad, has even defended the ad. She stated, “I can see how the snapshots that are circulating the web have been misinterpreted, considering the fact that Dove has faced a backlash in the past for the exact same issue. There is a lack of trust here, and I feel the public was justified in their initial outrage.”
Aori helps you pack a punch with AdWords
(BUSINESS MARKETING) Aori is the newest tool designed to help anyone using AdWords to kick more butt.
Search ad campaign managers constantly wrestle with the best way to organize their keywords into campaigns. Most of these decisions strive to balance the time needed to manage the campaign with efficiency of campaign expenditures.
Take the SKAGs strategy, for example. The SKAGs (Single Keyword Ad Group) system is setup to trigger a unique ad for every single keyword by placing each keyword in its own group.
There’s lots of literature touting the benefits of the SKAG system. Generally, the hyper-specific match between ads and keywords improves click-through rates.
This leads to higher quality scores, which leads to lower costs for click, which leads to lower costs per conversion. The tradeoff with this system is the setup. You could be looking at hundreds of keyword groups to set up and maintain, and that’s a lot of work for a small business or startup.
This is where Aori comes in.
Their system helps to automate the process of setting up a SKAG system for your AdWords campaigns.
According to the website, the tool’s primary function is to automate keyword generation. Users enter a set of “root keywords” and common keyword extensions, and Aori will automatically generate all possible combinations of those keywords for your campaigns.
Additionally, through Aori, users can create ad templates using a “dynamic keyword insertion tool,” to enable you to utilize the strongest ad copy across multiple phrases.
In what is the least clear value point of the whole pitch, Aori also uses what they call a “unique bid-optimization algorithm.”
There is almost no detail to be found on how the algorithm works. If the tool handles all bid management for you, this could be a handy tool for PPC novices who are less familiar with the process and lack the time to learn it.
Aori appears to run cheaper than the others we know of, but that may be due to the level of automation available. For example, Aori requires the user to feed it keyword inputs, both root and extension words.
It’s also important to understand where a SKAG system can and can’t work. It is likely a better system for smaller campaigns where ad testing wouldn’t yield statistically meaningful results.
Because every keyword group targets one phrase, you can’t readily say that improvements in ad copy will translate to other campaigns.
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