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By Jeff Beer

For almost as long as we’ve been typing words into Google’s search bar, we’ve been trailed by online ads based on those searches. The logic being that if they put ads in front of our eyes that are related to what we’re searching–shoes, diapers, cars, anything–we’ll be more likely to click. And even though ad tech has advanced by leaps and bounds over the last decade, that’s still essentially what advertisers are trying to do.

Recently, in order to boost its competitiveness with Nike among serious runners, and raise awareness for its Run Camp program, Under Armour targeted photos on social feeds–finding people who were posting specific models of its running shoes, specific running shoes of its competition, as well as photos that featured running bibs, belts, and other accessories. Once found, that person would be served up a short video ad about Run Camp after they’d left Instagram or Facebook.

So if you posted the new bib for that half-marathon you’re training for on Instagram or Facebook, later while browsing The Huffington Post mobile site you might see an ad for Run Camp. All because of your photo.

The tech is from Toronto-based shop Cluep, which has been working with brands like Nike, Coca-Cola, McDonald’s, Toyota, and yep, Under Armour, on text and location targeting, but now, following consumer behavior on social, is pushing hard into visuals. Cluep Pics lets marketers target people based on the images they publicly post on Twitter, Instagram, and Facebook and serve them ads in their mobile apps and mobile websites. It uses a proprietary image recognition engine that learns from every image it sees to identify brands, products, and scenarios to effectively engage people around their interests, activities, and lifestyle.

So if there happens to be a McDonald’s in the background of one of your photos, you may get a Golden Arches ad targeting you somewhere soon. To many people, this sounds pretty creepy. Of course, Cluep CEO Karan Walia (who co-founded company in 2012 with CTO Anton Mamonov and advertising operations director Sobi Walia) says the goal behind Pics is to effectively deliver advertising to the right people, at the right time, when they are most receptive based on the types of images they post on social media. Sound familiar? But contrary to creeped out, Walia says even just through beta testing, they’re already seeing conversions and click-through rates five to 10 times better than industry standards.

“Traditionally the click through rate is around 0.5-0.8%, however, we’re seeing results in metrics like video completion rates, visit lift rates, cost to drive back to store and more are between five to eight times the industry benchmark,” says Walia. “And this isn’t just in one, two, or three programs, this is the average across all the 500 campaigns we’ve done across different verticals. That would suggest we’re driving higher results than other vendors, and those engagement rates with consumers.”

Image recognition tech itself isn’t new, and Walia says Cluep’s primary competition for Pics is the social platforms themselves but believes his firm is just a couple of steps ahead.

“Right now, there is no ad tech platform that is doing image-based targeting like we are,” he says. “Getting a high enough accuracy to classify an image around a brand, logo or activity hasn’t been available at scale until now. I’m getting bombarded with back-to-school ads from Walmart on Instagram. I’m not a student and I’m not a parent. Why is this happening? Walmart is a client of ours, and now with Cluep Pics they’ll be able to better target potential consumers because they’ll see family photos or relevant photos that will let them know if these types of ads will be relevant.”

And you know what’s next, right? the growth of online social video has exploded over the last few years. It’s even been suggested that Facebook could be all video by 2021, which is also where Walia says his tech is headed. The Cluep Pics engine is a stepping stone to video, and the company hopes to launch it by Q2 2018.

[Photo: Flickr user S A N D Y D O V E R]
“For video, the back-end is very similar to Cluep Pics because video is just still frames strung together, so the challenge is to focus on the right frames, and being able to classify not just logos, products, and scenarios, but also actions,” says Walia. “That’s going to be a big next step, allowing brands to target consumers not only based on the type of videos they’re sharing but also know that the ads are being served in safe environments. We’ve seen the concerns over YouTube. We see a big opportunity in allowing publishers to let marketers select the kind of videos their ads appear in or around.”

About the author

By Jeff Beer

Jeff Beer is a staff editor at Fast Company, covering advertising, marketing, and brand creativity. He lives in Toronto.  More

Sourced from FastCompany

Sourced from AdExchanger.

Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by Jonathan Cohen, principal brand analyst at Amobee.

Last Friday, Netflix founder Reed Hastings celebrated Netflix getting its 100 millionth subscriber, a major milestone for a company that has spent the past 20 years thriving on science and analytics.

Netflix has arguably been the biggest disruptor of the decade to the TV and film industries, and it’s impossible to describe its success story without recognizing the central role big data has played every step of the way.

Its business model depends on using analytics to understand its audience better than its competitors. For brand marketers, for whom understanding audience behavior is equally essential, Netflix is a great case study on how to leverage big data correctly.

I see three ways in which Netflix has successfully used actionable analytics that can be relevant for brands.

Outreach Needs To Be Personalized

Even before Netflix was a video streaming service, its recommendation engine played a critical role on its website. Back when its existed solely as a DVD rental-by-mail-business, Netflix didn’t have enough inventory to ship the biggest new releases to all its customers overnight, so it created an algorithm that suggested movies its customer would be interested in, based on their previous picks, and didn’t emphasize new releases.

The strategy worked, and in 2006 new releases represented [PDF] less than 30% of Netflix’s total rentals, compared to new releases making up 70% of total rentals at standard video stores.

Since it made the shift to online streaming, a more sophisticated recommendation engine has been successfully surfacing content that’s personally relevant and engages users to the point that they spend on average 17.8 minutes browsing before selecting a program to watch, compared to 9.1 minutes of browsing for cable users. That keeps Netflix’s monthly churn rate in the low single digits, extending the lifetime value of customers and saving an estimated $1 billion-plus per year in retention efforts.

Minimizing Data Loss Is A Strategic Advantage

“Big data helps us gauge potential audience size better than others,” explained Ted Sarandos, Netflix’s chief content officer, in a 2016 interview.

That’s true, but it’s also important to recognize why it’s able to take advantage of analytics to an extent that traditional broadcast and cable networks can’t. Netflix has exact data at the individual user level as a content platform and creator in a walled-off ecosystem.

Netflix paid $100 million in advance for 26 episodes of “House of Cards” because it knew people who watched the British version also loved Kevin Spacey and David Fincher movies, an insight that’s only possible in a walled-off ecosystem, not from estimated ratings.

Additionally, when it came time to promote “House of Cards,” Netflix had enough audience data to serve different variations of its ad to different audience personas. For instance, “Thelma & Louise” fans saw a version focusing on the female characters, while people who viewed Kevin Spacey movies would see him as the focus.

Relating that to brand marketers, the more unified their digital spend (while minimizing the challenges of working with multiple vendors and metrics), the less data loss there will be, allowing for more educated and effective campaign optimization efforts.

Adapt The 13-Millisecond Rule

Netflix understood it needed to capture a member’s attention within 90 seconds or they’d leave the site. And acknowledging recent research that found the human brain can process an image in as quickly as 13 milliseconds, Netflix began A/B testing the box art thumbnail image for select films, allowing users to pick between six options. Video viewing increased by 20%-30% for the winning images, with photos showing facial expressions that reflected the tone of the film or TV show tending to do well.

For marketers, the difference between success and failure is often about getting a lot of very small decisions right, and usually even if it appears a campaign is meeting expectations, further optimization is possible.

In the current media landscape where the internet has largely leveled the playing field, knowledge is power, and Netflix has excelled because of its success at leveraging data into actionable insights. Brand marketers that emulate key Netflix strategies like personalizing audience outreach, minimizing data loss and leaning heavily on A/B testing can likewise benefit from big data.

The answers about audiences are out there for brands. It’s just a matter of learning how to better collect, listen and respond to the feedback customers are already sharing.

Follow Amobee (@Amobee) and AdExchanger (@adexchanger) on Twitter.

Sourced from AdExchanger.

 

By Neil Patel.

What are you doing to embrace and tackle marketing industry changes? Are you afraid to try new things? Or are you fearless?

One of the reasons I am so passionate about the marketing industry is the anticipation of changes, and ability to experiment with new marketing tactics and efforts.

Taking chances is often what separates top marketing professionals from novices. But how can you separate fads from educated risks? Take a look at the top strategies I’ve identified that most marketers might deem risky, may not be aware of, or not fully understand.

These are risks, yes, but they are risks that are worth taking.

1. Switch from outbound to content marketing

In the past, it was enough to highlight your product or service and the hundreds of fantastic features and capabilities. These days, you have to add value to your brand and product/service with content that teaches and establishes you as a thought leader and an expert. Why should your customers believe in what you’re selling?

It might scare you to switch to an inbound format that teaches and nurtures your prospects. How will they know what you offer, you ask? How will we sell and generate leads without pushing our product? Content marketing can be scary to adopt because it relies on your expertise and puts the ball in your prospects court.

In contrast, content marketing is shown to drive more traffic and leads than outbound marketing. According to Demandmetric content marketing generates as many as three times more leads than outbound marketing.

2. Interactive content

As content marketing rises in popularity, pushing through the clutter is becoming more and more difficult for all of us. But even though we know we must differentiate ourselves from the pack, we can be hesitant to make our basic content more interactive and exciting.

Interactive content can draw more attention to your messaging while increasing your engagement on powerful social media sites. Quizzes, ROI calculators and interactive infographics can help you convey your brand’s story in a more dynamic fashion.

As a bonus, eye-catching, interactive, fun content can draw the attention or industry publications in addition to attracting prospects. As a result, you can extend your reach and continue driving traffic and high quality links to your site and blog.

3. Embrace up-and-coming social media channels

While there remains a place for LinkedIn, Facebook and Twitter, new social media channels will allow you to reach consumers in new and exciting ways. Additionally, new channels allow you to explore more creative methods of telling your stories and conveying who you are.

Snapchat, Instant Articles on Facebook, and Instagram Stories provide companies and even professionals a channel to experiment and target specific groups and audiences. As a bonus, new and exciting social media channels are often a great place to promote the interactive content discussed above.

4. Developing content for real people, not algorithms

As a marketer, you may have gotten in the habit of developing and creating content that will highlight your company, blog, business or ideas at the top of the search engines.

These days you’ve got to step out of your box and think about your content in the context of your reader’s desires, fears, worries and needs.

Creating content that is displayed in front of thousands of sets of eyes is no longer enough to set you apart. Instead, readers expect real ideas that are well written and display complex and interesting ideas and thoughts.

While SEO is still very important, don’t be afraid to put your audience and their needs and wants first and consider your page rank secondarily.

Instead of using keywords to draw more traffic from search engines and their algorithms, use keywords to highlight your points and draw readers in by providing information that is valuable to your audience.

5. Reuse and repurpose your top content

Even your loyal readers may not see your content initially. It could take several touches and multiple channels to get through to them. Try reposting your top blog posts with refreshed titles or new visuals.

Utilize that content in a digest newsletter format to drive traffic to content that your audience’s peers have enjoyed (it can be tough to resist content that we know our peers and colleagues have enjoyed).

Want more traffic? Automate that refreshed and repurposed content for periods when it’s relevant or for different days or times to attract new readers who may not have engaged the first time around.

According to Curata, only 29% of marketers are reusing/repurposing content, which means many marketers are only putting their messaging in front of their audiences one time: they’re missing out on valuable clicks, impressions and engagement.

Conclusion

We’re often afraid of the uncertain. We get stuck doing the same marketing activities over and over again in an effort to remain comfortable. We know our metrics for what we’ve been doing. We have goals for those efforts. We know what to expect.

Getting over our fears is as simple as widening our expectations and being ok with not knowing exactly what to expect from our marketing efforts. Try something new. By taking small steps and measuring your efforts very closely, you might find that your strategies are not enough.

You might try something that doesn’t work or isn’t right for your audience. But more importantly, you might find something that is a clear win and helps you change the course of your marketing efforts, your business and messaging.

What are some “risky” techniques that you may try?

By Neil Patel

I cover entrepreneurship, conversion optimization, marketing and sales

Sourced from Forbes