How can Financial Services firms prosper in a post-Fiduciary Rule world? Looking at the rule’s potential implications through a design thinking lens can provide insights on best practices for a customer-driven world, especially from experiences in digital channels.
I still remember the days when prototyping used to be thought of as an add-on for projects. Building a prototype could be construed as difficult, demanding lots of “extra” work and force design teams to borrow resources from the technical teams very early in the process.
There’s skepticism around digital products created within digital agencies. One of the biggest challenges is that agencies have people working on multiple projects. Some people are not 100% dedicated to a single project but jump from one to another. There’s no problem with that, in fact, it may be done easily.
We all remember the scene from the Wizard of Oz. That moment when they pull back the curtain and everything about the world of Oz is being run by some guy behind a curtain. If you don’t know this scene because you haven’t seen the Wizard of Oz, there is something wrong with you, but I digress. The whole story is they follow this path that leads them to the place with all the answers, only to discover something they weren’t expecting.
Let’s first get one thing clear. Native Advertising isn’t going anywhere. It’s growth is only upward and to be honest, I don’t mind it. Ultimately, as a digital design agency, we have to think about how to best interact with humans. The ethics of native advertising are well debated, and I won’t add to that debate. The key for me as a strategist is to find ways to connect with people that feels less disruptive. I know we in the tech world love “disruption”, but most of the world doesn’t, especially when it comes to how they interact with things on a day to day basis.
Native advertising, as with most of the buzzwords we hear and say everyday, everywhere, is a concept that is defined in so many different ways it’s just confusing. The “official” definition implies that every ad that fits naturally and feels like other types of content in the page fits perfectly into this category. The definition of the word “naturally” is very subjective, though. It’s as simple as this: the same ad in the same placement could feel more natural to some users than others.
The Many Meanings of Native Advertising
The definition is so broad that it includes things like sponsored posts on Facebook or promoted posts on Twitter. The playbook created by IAB even mentions the inline ads you find between two paragraphs of an article you’re trying to read on your phone and it covers those recommendation widgets that are confusing to some users and just disappointing to others. It goes as far as to include paid search units.
I wouldn’t say those ads I’ve run into while scrolling through my timeline feel natural —although Facebook is doing a better job than Twitter at that. I can say I don’t trust those external articles you find contained in recommendation widgets at the end of an article you just read in ESPN —I trust ESPN as a content creator, however those “sponsored articles” are not being selected by ESPN but by the third-party that created the widget (Outbrain, Taboola, Earnify, etc). In the same way, most of the times when searching something on Google, I instinctively tend to prefer links that appear organically and ignore those that are clearly paid and promoted.
How Is This Better Than Standard Banner Ads?
One thing you can say about the examples I mentioned above is that all those ads are displayed based on a certain context. Granted, that context can be more or less accurate depending on the kind of data it is built upon. But searching for “Cartagena Hotels” on Google, for example, shows me paid search results related with Cartagena, Colombia and not Cartagena, Spain. Google seems to figure out the context based on the search term and my location and then displays paid search results based on that, which is very smart. Recommendation widgets define the context by assuming you are interested in the topic you were reading about and then display article recommendations (from other publishers) related with that topic. I’m not going to go case by case, but one starts to see there is a common element in all these different ad solutions.
The common element is context. They try to address the consumer more accurately by using the data they have at hand, so you could definitely say they are getting smarter. The problem is that while they are smarter, they are still not adding much more value to the consumer’s experience. They are just being a better informed door to door salesman. Almost equally annoying.
Adding Meaning to Context
Context alone is cool and it does increase the chances of getting to the right audiences in the right moments. However, the concept of native advertising covers other approaches that are pushing to make native ads more meaningful and valuable.
Buzzfeed’s revenue model is based almost entirely on sponsored articles. Ranging from 15 Of The Best Bands To Come From College Campuses (sponsored by Spotify) to the much less subtle 12 Ways Nutella® Makes You Smile (sponsored by Nutella), BuzzFeed has created what would be the perfect win-win scenario. Readers getting content that is entertaining and brands capitalizing by raising awareness and sponsoring content that is aligned with their attributes. However, the area of the layout of the article that says that this is a sponsored article is so small and subtle, a large group of users don’t see it and content passes as regular content, not as sponsored content, which gives room to all types of concerns.
Adding Extra Value Through Custom Native Ads
Referring back to IAB and their Native Advertising Playbook, “In the world of native advertising execution, there is no limit to the possibilities when an advertiser and publisher work together on custom units”. That’s probably the most valuable bit of the entire document and makes one thing clear: key to success here is in collaboration. Advertisers and their agencies can (and should) be as creative as they want. Publishers are always open to trying new stuff as long as it is well paid. They kind of need to be open, to be honest. Custom native ads are probably the most expensive of the group, but they’re definitely the most impactful.
An example of this is the partnership between Netflix and The New York Times. The newspaper produced an in-depth piece on the conditions women face in American prisons and Netflix sponsored it by connecting the topic of the article with the theme of their series “Orange is the New Black”. The beauty of it is it doesn’t feel like a regular article of the newspaper’. The design was 100% custom and incorporated exclusive illustrations, in addition to the quality of the text content produced by the newspaper. The strategy was not to appear as a regular article and confuse. It was to reinforce the presence of the product by attaching to a special article on a related topic.
Custom content also means each case is different. This makes things more exciting for everyone involved: brand, publisher and agency. We personally had a lot of fun helping Rolling Stone and Wenner Media in their process of adding custom sponsored content to the products they offer to their super cool clients. In the case of Indian Motorcycles, the tie between motorcycles and rock music was reinforced by a custom article that was a highly visual list of the 40 most groundbreaking albums of all time. All the content was created by RS, and the brand appeared inserted into the story in the most organic way possible. The brand did fit very naturally in the story and both the design and the content of the article where in line with the magazine’s expected quality.
Especially when it comes to sponsored content, ethics are a big deal here and the more honest the brand messages feel and the less the publisher’s principles get compromised, the better for everyone, in the end. Publishers need to establish rules and filters and take care of their reputation. When it comes to deciding how far publishers can go for any given brand, there has to be a line that each publisher will have to draw according to their ethical values.
On July 4th and 5th, I had the privilege of participating as judge in the Third Annual Colombian AngelHack hackathon. It was a part of the Eighth Global Series, which was also celebrated in 95 cities and over 65 countries. The winners of each city will go through a 12 week accelerator program and a trip to the Global DemoDay in San Francisco (CA) to pitch their ideas to some of the most known investors, startup accelerators and incubators in Silicon Valley.
A hackathon is, essentially, a 24 hours event where coders, engineers, designers, entrepreneurs and tech-minded people come together to do intense coding. Ultimately, the contestants will transform a nascent idea into something useful that can “wow” judges and attract investment.
The judges were a selection of recognized Colombian entrepreneurs, technology journalists, CEOs, and technology directors. We were in charge of selecting the winner based on 4 different criteria: product/solution, technical chops, execution and design.
Many of the teams already knew each other and came with a clear idea of what they wanted to present, while others were there to pitch their ideas to the other enthusiasts in hopes of them joining their teams. Some of the projects included: web sites and mobile applications that attempted to disrupt online deliveries, a semantic search engine for products and services, a chat for tourist based on geo-localization and to-do list engine that was aware of your friends pending tasks.
At the end of the second day and after many hours of deliberation the winners were chosen. In third place was AyDoor, a delivery and services platform. Second place was taken by Poof, a semantic search engine for products and services. Finally, the winner was awarded to InfiniteLoops a platform to automatize and execute repetitive tasks and scripts for developers.
Overall, it was a great experience and the amount of talent is really encouraging. Some of the major conclusions I took away from AngelHack were:
– Work on something that does one thing really well. Show it off and focus on it for your demo. Filling long forms and following user flows are demo killers.
– Merits matter. You have to build, watch, and plan a successful demo and presentation. You can slave away all night but if you can’t clearly express your project you won’t have a chance of winning. Make sure you don’t waste time talking about pieces of the project that aren’t essential to the crowds understanding of what you have built. Get through your demo.
– Think your idea through. Most projects and teams tend fade away after the hackathon weekend, which is traditionally one of the criteria that the judges use when voting. If you are really passionate about your idea keep at it regardless of the events results.
– Tell a story. If you think you are solving a problem (big or small), tell everyone about the problem and how you solved it. People like stories. If you are solving an interesting problem and have a cool/working product you have a higher chance of winning something.
– It may sound obvious, but setting clear objectives for your attendance at the hackathon ensures you get the most of out of the short time.
– Have a plan B and even C. This was repeated over and over to the participants yet many relied solely on the success of their pitches and demo. Unfortunately, for some, this wasn’t a successful strategy.
The privilege of being a judge is an awesome learning experience. You get to hear really fresh ideas and approaches from technology leaders and extremely enthusiastic participants. The culture and products this event helps build are great for countries like Colombia. There is a good talent pool here, but not enough confidence or entrepreneurship to help all these talented people take their ideas further. Hopefully, more events like AngelHack will allow these remarkable individuals to bring their ideas, creativity and talents to the forefront of the tech industry.
-Carlos Arenas, Mobile & Application Development Director
When it comes to native advertising, everyone has an opinion. There are those who hold user experience in the highest regard. This crowd will argue that native ads allow for users to gain true value by having the ability to consume and interact with unobtrusive content that is of interest to them, unlike display ads which can distract from the key reason a user visits any given site. The camp on the other side, however, argues that native ads might be misleading since they can tend to blur the lines between sponsored content and editorial content.
Either way, the core of the controversy seems to come down to one universal concept. Trust.
Brands can attempt to build trust by offering up custom-tailored content to users. However, it can be argued that publishers violate that same sense of a user’s trust by subtly placing branded content within an editorial context, and by so doing, “tricking” users into reading their advertisers’ content.
Statistics that support native are thrown around and touted all over the digital environment these days, bolstering higher engagement, brand lift and purchase to intent, just to name a few metrics. After a little Googling, one will find that biggest lift for advertisers seems to come in the form of brand awareness, which can lead to the perception that the traditional goals of driving a user to some sort of conversion or transaction might become secondary to simply entertaining users and gaining their trust, and thus, their loyalty. Whether this is a long-term benefit to brands is yet to be seen, but the signs are there, and they’re pointing to a new path through which brands can gain this loyalty from consumers.
Eventually, we will get to a point where it is clear to users that they are viewing this branded content, but it won’t matter. IF in fact the content is interesting enough for a user to spend precious time engaging with it, then it seems like a fair trade. The amount of creative freedom and innovation that this new approach allows for is sure to bring digital advertising to new heights, the compromise will be the need for brands’ and consumers’ patience and tolerance while advertisers learn and allow this approach to mature by gauging its overall effectiveness and, more importantly, the reaction and acceptance of it by consumers.
Throughout the month of July, we will be examining the concept of native advertising and branded content from several different perspectives. As more and more brands begin to focus on creating branded content. We look forward to keeping an eye on this trend as it grows and transforms as we move toward a point where editorial and branded content are almost indistinguishable from one another in the eyes of the user. Z-Team Out!
Where does one begin with AI….
There are so many places it can go and so many different things it can affect, whether it’s work forces, cars, web browsing and beyond.
For the purposes of Zemoga it’s all really interesting stuff, and as usual our fascination with this technology is both out of personal curiosity but also how it applies to products we build. The biggest thing for us is machine learning. Especially because we work with a lot of retail, publication and healthcare companies.
The purpose of removing friction is a pillar for the things that we build. Every click or every movement through a site or app has to have purpose and direction. It’s so much more than just making a product “pretty”, although that helps. The idea of machine learning, like what IBM is doing with Watson, is really interesting. Not because it’ll destroy the world, but because it’ll help remove a few “clicks” in both my physical and online worlds.
Think about the routines of your day. We all have different ones, but imagine the little bits of incremental time that are consumed by your daily “clicks”. Waking up, starting your coffee, jumping in your car or taking the subway, etc. Each having varying degrees of interaction.
You see machine learning in small ways today, your watch telling you to get up and move, or Google Now saying, “time to leave in order to get to a restaurant before it closes”. These are all “small” things but they are providing bits of value that literally give you back time. Brands will get better at leveraging this tech because it means it can help them move away from being “salesy” with its’ customers. Let the AI figure out the appropriate times when, quite practically and literally, you just need a new shirt. This allows the brand to offer genuine value and rethink what it means to be “loyal”.
This AI/machine learning tech is useful because there are actual needs that we have. For a brand to better understand those moments of actual need, it helps them know the RIGHT time to talk, which is important. Most advertising is the “fishing with dynamite” model. The brand sits in a boat, lights a stick of dynamite throws it into the water, dynamite explodes and some fish float to the surface. That’s how brands currently communicate. They don’t know how to speak directly to you, they just aren’t good at it, so they have to quite literally at times disrupt your day to make sure you see them.
This is why certain types of AI are fascinating. We get hyper focused on the car or the robot, but those things are larger and visible versions that will take time. The great first step is the behind the scenes AI for our everyday lives, just removing friction. Giving us back bits of time to focus on things that matter. It’s an exciting time for sure – and the space is changing quickly- but at the end of the day we all want more time and this is why AI isn’t going anywhere.
We’ve been toying with Apple Watch. A lot.