Tapping Into Our Natural Behavior: Find Your Inner Hamster

Effective mobile marketing should be centered around taking advantage of existing behaviors, not creating new ones.

The cutest solution to the energy crisis?

Hamsters love to run. So if you want your hamster to power your refrigerator, you throw the little guy on a wheel, attach the wheel to a generator, and there you go. But if you asked him to mine coal and burn it to generate electricity, he’d probably give you a perplexed squeak and then proceed to do anything but that. Mining is not a natural behavior for hamsters, but running is. So if you want him to do something for you, it’s better to take advantage of the natural behaviors he does already, like running.

The same is true of people. As the explosion of services like Pinterest and Instagram shows, one of our natural behaviors is taking and sharing pictures of things we like— whether that’s beaches and sunsets, or our favorite products. Just like generating electricity with a hamster wheel, brands need to tap into this natural behavior to generate brand moments with consumers through direct responses.

There’s a right way and a wrong way to do this, though. The wrong way is to invent some complex, unnatural process for the consumer to get content, like using QR codes. The right way is to attach content to things people are doing anyway, like taking and sharing photos. Truly passionate brand advocates are out there, and brands can better identify these devoted customers and provide more relevant content simply by taking a look at their pictures. Pongr’s smart tools can do just that, by analyzing images to provide a 360°-view of the consumer. This means better, more intelligent direct responses that will consistently surprise and delight.

But it all comes back to natural behavior versus unnatural behavior. The moment brands start asking people to do something unnatural, they’re going to lose customers’ interest. People are going to keep taking and sharing photos whether brands like it or not. The question is which brands will tap into this behavior to engage their customers, and which brands will still be shopping for hamster-sized hardhats and pickaxes.

ImagePulse Mobile Photo Uploads (Infographic)

This May, Pongr unveiled its new visual sentiment image recognition tool, ImagePulse. ImagePulse uses computer vision technology to track the endless stream of brand photos spread across cyberspace. ImagePulse is able to recognize logos and products whether or not the brand is tagged in a photo, which helps brands take advantage of volumes of fan-generated content that previously didn’t show up on their radar.

This summer, we’ve been tracking mobile photo uploads and gathering data about popularly photographed brands. Here are some of our more interesting findings!

Pongr ImagePulse®: Computer Vision "Sees" How We Feel

visual brand sentiment analysis

A Picture is Worth a Thousand Tweets: Devoted fans of global brands don't always tag their photos, but they are powerful opinion influencers worth finding. (Click to enlarge image)

When a brand wants to connect with its most devoted fans, it might have trouble seeing them. Many people who now share photos of their favorite foods, fashions and products on the Web are virtually “invisible.”

Consumers snap and share billions of pictures every day with their mobile phones. As the volume of these photos continues to rise, the quality and frequency of tagging is going down. Informal brand ambassadors aren’t aiming to advertise – their impulses to share brand-themed photos are social and thus, do not come labeled with hashtags.

ImagePulse® is the first visual search engine that uses computer vision technology to index and rank the endless stream of brand photos spread across cyberspace. Pongr’s image recognition platform “sees” company logos regardless if they are tagged or not.

Each photo is given a Purchase Intent Score based on an additional layer of text analysis for buying words.

ImagePulse's Purchase Intent Score and other actionable data.

“A picture is much more indicative of product interest than a Tweet,” says Pongr CEO Jamie Thompson. “There are lots of sentiment analysis tools out there, but none of them offer visual sentiment analysis. There’s now a new way to meaningfully tap into existing customer behavior, speed up collection of data and provide a direct response.”

Voluntary product endorsements organically happen as a routine part of life. Examples of fan photos include iPad lovers photographing themselves in the Apple Store, Hard Rock Café diners hamming it up in their logo t-shirts or a fashion hound posing in front of a Versace or Gucci shop window.

“Advertisers can use ImagePulse® to learn how, when and where their unofficial brand ambassadors — and the competition’s — are marketing their products in social networks,” Thompson says. “We also can track down fan photos anywhere they are shared: on blogs, social media, mobile phone apps and online photo albums.”

In a preliminary search of Twitter photos (tagged and untagged) over a recent five-week period, ImagePulse® collected and analyzed more than 80,000 fan photos in 47 sample brands. This fan-generated content represents a tiny fraction of the visual brand sentiment expressed across the Web:

BRAND LOGOS ON TWITTER

1. Google 22,483
2. Apple 14.452
3. Android 11,127
4. Starbucks 10,713
5. Coca-Cola 6,339
6. Nike 5,754
7. adidas 5,244
8. Nintendo 5,094
9. McDonald’s 3,435
10. Converse 3,215

Companies can also learn what else excites their most loyal customers with “Conjunctive Interspend” data that tracks engagement with other favorite brands. For example, advertisers may find that a high percentage of adidas fans own iPods, drink Starbucks, watch MTV and shop at Target.

visual brand sentiment analysis

ImagePulse's Conjunctive Interspend data

ImagePulse® helps brands take advantage of volumes of fan-generated content that previously didn’t show up on the radar.

(To learn more on how ImagePulse® can help your brand identify and connect with your most passionate fans, drop us a line at info@pongr.com)