An Interview With Dennis Kelly: Startups, Customer Success & Direct Marketing Automation

Dennis Kelly is the CEO of Boingnet, a multi-channel marketing software that helps direct marketers, agencies, and printers generate more leads and revenue. They take pride in being a provider of lightweight automation tools that excel in user experience and customer success.

Recently, Kelly spoke with Wilde Agency Co-Op Kristen Montana and Account Director Megan Allinson about the make-up of an entrepreneurial spirit, the benefits of working for a startup, and what we can expect of Boingnet in the future. Check out their informative discussion below.

You say in your Twitter bio that “optimism is at the center of resilience.” What keeps you optimistic in times that resilience is warranted?

Optimism was a gift given to me by my parents. I learned early in life how you can be challenged and things can seem really bad, but what you see is often just the tip of the iceberg.

Often, a difficult challenge is an opportunity to learn and grow. I ran across this quote several years ago, and it really expressed something that is a core belief of mine – “At the end of the day, our attitude is a choice.”

If you choose to remain optimistic, regardless of the circumstances, you can usually find some area to grow regardless of the difficulty that you’re faced.

It’s apparent you’ve carried that with you throughout your career, along with a demonstrated entrepreneurial spirit. Is that something that’s learned or innate?

It’s definitely a mixture of both. I think that many people are capable of contributing value to a startup. You don’t have to be Steve Jobs. You don’t have to be a visionary or a brilliant technologist. You just have to enjoy working at a strategic level, as well as a tactical level, at all times.

People that get involved in startups, I believe, like to get their hands dirty. I grew up on a farm, and I was doing a lot of manual hard work every day. It’s something that I enjoy. And as I learned more about business, I realized that I didn’t want to be too far removed from that day-to-day tactical work.

Through some friends from college, I had an opportunity to join a startup at a very young age. I found it rewarding to be in control of your destiny and see the results of your efforts every day. When you’ve got a small group of dedicated, hardworking surrounding you, you can get a lot more done than you can, sometimes, at a very large organization.

It’s not for everybody. You have to have a very high risk tolerance and underlying confidence that things will work out regardless of the circumstances that you’re dealing with.

Boingnet - Startup Company Culture

It seems that many entrepreneurs actively want to be their own bosses. They don’t want anyone else telling them what to do.

That’s how it starts for a lot of people. They feel like they have good ideas, and they can feel stifled in a more bureaucratic environment – one where politics and process get in the way of doing great things.

That impatience, I think, is something that gets a lot of people excited about entrepreneurship and starting a business, but from a sustainability standpoint, the thing that gets people coming back is the thrill of getting a small group of people all pointed in the same direction, quickly accomplishing things that other organizations might require a longer time to accomplish.
How has working at a startup differed from other professional experiences?

My first job out of college was at a very large corporation, a Fortune 50 insurance company. I learned a tremendous amount working there, but I wasn’t really able to put many of the ideas that I developed into practice. If you’re fine with a process that may or may not affect change, then that’s great… But if your personality demands that your ideas see the light of day, then startups are a great things.

What’s one surprising thing that a budding entrepreneur might learn in working for a startup?

Whatever the idea is that they’re thinking, it’s going to take twice as long and cost twice as much. It’s like building a house. You jump right into a new market with a new product. There’s a period of learning and adjustment that has to happen, and so, it makes sense to plan for that upfront.

Your latest venture is at Boingnet. In your own words, how would you describe the problem that Boingnet solves for marketers today?

Boingnet is laser-focused on solving the problem that exists between digital marketing and direct marketing. Essentially, they have become two completely separate forms of marketing over the years, and smart brands are focused on eliminating those silos and presenting cohesive, highly-personalized marketing campaigns that have great user experiences across all channels.

Boingnet is focused on providing software and services to make that process easier. The notion of taking complexity out of the equation and replacing it with simplicity is at the core of how we think about ourselves. Reducing the friction that is associated with integrating digital and direct with personalization is really the thing that sets us apart.

Overall, how important would you say user experience is?

Customers have a lot of choice. Brand loyalty is entirely dependent on user experience at this point. With the internet, it’s so much easier to get information and quickly, easily switch products.

If Boingnet can help brands deliver great user experiences, then we’ve really accomplished something. We’ve aligned the organization of the company around the idea that when our customers are successful, we are successful. We can create long-term value by keeping those incentives aligned.

And how do you define customers’ success? Is there a recipe that you use, or is it based on metrics defined by your customers?

There are similarities that are somewhat consistent across clients, but as a small company, we’re at a stage of our development where we can work very, very closely with our clients to tailor our approach to be successful for them. We can bring best practices and our knowledge from working with many, many clients to the table, but ultimately, all of our clients have somewhat different needs.

So, we’ve created software that is very flexible and can be deployed in a lot of different ways, and we are creating processes that are flexible as well. That tailored approach is at the core of how we’re solving that problem today.

boingnet - pURL

Are there specific industries that tend to be more successful in achieving their goals through your platform?

We’ve had success working in industries where the processes that are in place to deliver direct and digital are highly manual, disconnected and complex. So when we run across an industry that has that combination of things – complexity, disconnectedness, and manual effort – we can step in and quickly add value.

We’ve seen significant traction in financial services, where there’s often a very large gap in the way brands, both B2B and B2C, have interacted with their clients in their direct and digital marketing. We see a significant amount of opportunity in what we consider large, discretionary consumer purchasing. Things like automotive, higher education, big ticket products or services, where a lot of information is easily accessed online, but direct remains a primary channel for lead generation, loyalty, and win-back campaigns.

Has there ever been an “aha” moment with a particular client that made you think to yourself, “This is why I do this”?

Yes, very much! We had a client approach us with a very complex win-back solution that had been developed online and required the consumer to enter some fairly complex codes in order to participate. The direct organization had a long-standing campaign where direct mail was being used drive people to the online portal prioritized over the call center, because of cost.

Yet, when the consumer reached the online portal, the complexity of the customer account information required was causing a significant amount of friction, and a very low conversion rate.

Boingnet was able to deploy a solution that delivered personalization to the landing page and tied together the direct campaign with the digital campaign. It eliminated the need for the consumer to enter those complex codes to bring their account up and complete the win-back process.

We were able to devise a solution that used our software,  our experiences, and our services to quickly solve this problem and deliver significant ROI to the brand, because of the cost differential that existed between the call center and their online win-back campaign.

What’s your take on the future of Boingnet?

We are extremely optimistic about how direct and digital can be presented in a unified way. As we deliver more and more of these unified experiences to the customer, we will be able to use the data that we generate to get really creative in how the teams can work together to deliver better experiences and generate more leads.

We see a lot of growth and a lot of interest in this. A lot of CMOs are no longer tolerating these silos that exist within the marketing operation, and so, we think we’ve got an opportunity to bring that all together and solve some tough problems for people.

Wilde Agency Logo 1

Wilde Agency is an award-winning integrated marketing agency that specializes in understanding and utilizing the science of human behavior to drive superior results for our clients.

Previously, they collaborated with Boingnet on the behavioral science game MindCamp and their 2016 holiday card campaign, as well as campaigns for clients Nationwide and Yodle.

The post An Interview With Dennis Kelly: Startups, Customer Success & Direct Marketing Automation appeared first on Wilde Agency.

“Mistress Sips” Serves Up Fresh Alcohol News

Where’s the best place to find the alcohol industry’s latest marketing happenings? Look no further than Mistress Sips, a curated publication of the hottest news, social updates and category trends in the world of spirits, beer and wine.

“Our beverage clients would all ask us to provide them weekly snapshots of the industry. But instead of compiling them in boring decks or random emails, we decided to make the information more digestible–and accessible – by putting it up on Instagram. People can simply follow Mistress Sips and see all the latest marketing efforts from the major alcohol brands. It’s very informative and fun to read,” said Damien Eley, Mistress Founder and ECD.

Originally available only to clients, the publication is now open to the public, so everyone can have a taste. Found on Instagram, each post contains a write-up news and why it’s important to any alcohol marketer.

Follow along and stay up to date at @Mistress.Sips and here.

Mistress Sips on Instagram

The Most Meaningful Work I’ve Done All Year: Let’s Grow Old Together

How often in this industry can we say we’re truly changing lives? How often are we given an opportunity to sell hope instead of product? Those briefs are few and far between. So when Walgreens asked us to create a campaign for their HIV-specialized pharmacies that could help build a better future for those affected by the disease, I was both humbled and elated.

Going into this project, I didn’t know much about HIV. I knew there had been advances in treatment and that people were living longer. But I didn’t know that doctors now consider HIV a chronic disease, not unlike diabetes or high blood pressure. If you’re diagnosed early and adhere to your treatment regimen, you can live a long, healthy life. That was news to me. And as we learned during our briefing, it was still news to the rest of world.

Stigma and fear are the biggest deterrents to getting tested and beginning treatment.

A few days after the briefing, I was sitting in my partner’s office kicking around ideas when he threw out, “Let’s Grow Old Together.” We saw the genius in it immediately. What better way to tell people that their diagnosis is not a death sentence than with the promise of old age. While the line was great, saying you were going to live a long time wasn’t enough. We needed to show people that they could actually grow old with HIV. And that’s when the idea of a virtual timeline came into existence—starting with diagnosis and going through every milestone of the HIV journey, all the way to retirement.

And what if we had people living with HIV be our guides along that timeline, sharing their stories, advice and inspiration at each milestone?

It was a big, ambitious idea—much bigger than the print ads, banners and trade show booths the client was expecting. It was also a digital-first idea, requiring a highly emotive and immersive site experience to truly do it justice. One of the first challenges we faced was integrating that experience into, a primarily e-commerce destination. Finding the appropriate solution wasn’t easy. We worked tirelessly with Walgreens web team and our dev partner MediaMonks, ultimately landing on an elegant solution (plus I learned what canonical tags are).

With the technical part mostly ironed out, it was time to produce the content for the site. Two rounds of casting led us to seven amazing people leading full, happy lives in spite of their diagnosis.

Like a man who’d been diagnosed in the 80’s, an HIV-positive and HIV-negative married couple and a woman who’d only had two T cells at the time of her diagnosis. Walgreens also introduced us to an HIV pharmacist who has an incredible relationship with his patients—a you-couldn’t-script-something-this-sincere-and-heartwarming relationship.

The shoot was filled with tears, revelations and, most importantly, hope.

On the last day, one of the women we were interviewing revealed she’d never really believed she had a bright future until this shoot. Hearing the stories of others just like her had given her a new perspective. If creating the site was this meaningful for the HIV patients we were filming, imagine how transformative it could be for the rest of the HIV community.

Nearly a year from concept to creation, the site is now live, and we’re beginning to hear positive responses from the HIV community. I’ll be the first to admit I didn’t go into advertising to change lives. But now I can say it’s the reason I’ll stay in it.

Soon, We Will Have a Bot for Everything


Imagine communicating with machines by writing or speaking using our natural language. While this might have been fiction in the past, it has now become a reality with the emergence of conversational applications or chatbots. And, soon, we will have a bot for everything.

“By 2020, autonomous software agents outside of human control will participate in five percent of all economic transactions.” – Gartner

2016 saw an eruption of chatbots and conversational systems, a disruption driven by the simultaneous growth of messaging platforms, progress, and ease of access to artificial intelligence (not to mention APIs). In this article, we will address how a chatbot works, simplify the concepts surrounding it, and hopefully inspire all to build bots.

How does a Chatbot work?

Let’s first understand the difference between traditional and conversational applications. A traditional application such as a mobile app or website works in a point-and-click fashion. Its interfaces are built on blocks of elements with which users can interact via limited actions (e.g., click, type, touch, or swipe). This arrangement is extremely convenient and efficient for a computer as there are finite interaction points, often in a sequence. Developers can, therefore, write code for each finite set of interactions very quickly.

That being said, there are also some challenges presented by traditional applications. First, the user must understand the flow required to get the work done. While many flows are commonly used and seemingly simple, specific business domains might necessitate user training. Second, if additional requirements get added, then new user interface (UI) elements and interactions must be introduced.

Conversational applications, on the other hand, take the command from the user in the form of his/her natural language. The example illustrated below is a simplified version of a multi-dialogue, chatbot interaction for buying groceries. 


While many may argue that chatbot interaction may be cumbersome as users have to type what they want instead of simply clicking a few times, the statistics on messaging platforms say otherwise.


“Users around the world are logging in to messaging apps to not only chat with friends but also to connect with brands, browse merchandise, and watch content. What were once simple services for exchanging messages, pictures, videos, and GIFs have evolved into expansive ecosystems with their own developers, apps, and APIs.” – Business Insider

We haven’t quite made the full switch from traditional to conversational applications. For now, while the speech recognition and natural language comprehension continues to evolve, we will see many hybrid interfaces making the best of both worlds.

How do we make an application conversational?

A conversational application’s primary aim is to translate natural language into user intent. The intent, in this context, is the command the user intends to execute. The conversational app can either be rule-based or actions-based.


A rule-based application is preprogrammed with multiple phrases against an intent (see the simple rule-based flow below). While these bots are intelligent and able to understand natural language, any conversation that goes outside the boundaries of their rules fails. Having said that, the rules are also what make these chatbots extremely accurate.



Natural language processing (NLP) is the class of artificial intelligence (AI) algorithms that enables a computer to understand human language and process commands. These actions-based, conversational applications basically convert human language into bits and bytes.

Consider the lifecycles of human beings. Children are taught by feeding them information. As they grow, their interactions with the environment continue to develop their intelligence. NLP works in a similar fashion. Initialized with a set of training data, the AI builds upon its learnings via usage and interaction.

Breaking down a Chatbot

From this point forward, we will focus on the application of natural language processing in a chatbot and the key concepts applied by current bot platforms and software developers’ kits (SDKs). The objective is to become aware of the ecosystem and quickly start building chatbots of your own.


Conversational Channels

Conversational channels are like the eyes, ears, and mouth of a chatbot. The most common conversation interfaces are currently text and voice as they allow interaction via natural language. Also, chat platforms have become popular mostly through our mobile devices and desktops, which are ideal for text interfaces. Therefore, while multiple interfaces in addition to voice and text exist, we will focus primarily on these two.

1. Text-Based Channels

These are simple chat platforms that allow you to communicate with bots via text, which their NPL algorithms can directly consume. These interfaces can be completely custom-built as mobile, desktop, or web applications, or they can be integrated with existing messaging platforms. A few key examples of text-based messaging platforms include Whatsapp, Slack, Tropo, Line, KIK, and Facebook Messenger. These chat platforms provide web-based API hooks for transmitting the text received via their chat interfaces to a chatbot service. If the interface is the platform, then the chatbot can be developed and exposed as an API.

2. Voice-Based Channels


Voice or speech interfaces like the Amazon Echo allow users to converse with bots by simply speaking. Since the chatbot only understands communication in text format, an additional interface is needed to convert speech into text (and text back into speech when the chatbot responds). A few notable platforms/services that provide speech-to-text and text-to-speech services include Google’s Speech API, Amazon’s Voice Service, IBM’s Watson Speech API, Microsoft’s Azure Speech API, and API.AI. 

The Chatbot Core

Let’s try to see and dissect a chatbot’s inner workings. How does it understand language, intelligently process commands, and respond as natural (read: human) as possible? Every time a user tries to communicate with the chatbot, he/she has the “intent” of asking a question or giving a command. Natural language processing (and the algorithms supporting it) is responsible for figuring out that intent based on the inputs the chatbot receives.


General English Language

Chatbots can be taught general, spoken English or any other language by giving it predefined learning data. For example, hello, greetings, or hi are understood as an intent of “salutation.”


Domain Specific Language

Unlike generic vocabulary, vocabulary specific to a business can be interpreted differently. Let’s take “I am planning to travel to New York” as an example. The phrase can be interpreted by an airline service as the intent to book a “flight,” while a hotel would interpret it as intending to book a “hotel room.”

Ideally, we would want a chatbot to be very open-ended and have conversations with much wider contexts. Since these kinds of open domain bots are quite complex, most of the bots today are dedicated to specific businesses or domains.

Let’s assume that the chatbot is focused on the “airline domain” and is connected to the business API of the airline’s booking system online. Based on the “travel” verb, the chatbot understands that the user intends to travel and knows that it needs to call the API “searchTravelOptions” before it can book any flights.


To make a successful API call, the chatbot also needs to identify the parameters required to complete the operation. NLP applies a concept of named entity recognition, which enables the bot to associate the parameters with known information like place, time, date, etc. For example, “New York” can be associated with either “Destination” or “Source” based on the named entity training data with which the chatbot is pre-loaded. Similarly, if the user had given a date, then it could be associated with either “Travel Date” or “Return Date.” To evaluate these possibilities, the chatbot uses prepositions such as from or to to accurately identify an entity. For example, “from location” signifies the source, while “to location” signifies the destination.


In the aforementioned example, not all entities are provided to the bot in a single sentence. The bot platforms are, therefore, equipped to construct “dialogues” or series of conversations in order to complete a process. As you can see below, the chatbot continues to have a dialogue with the user until all the information necessary for a “searchTravelOptions” API call is gathered.



In the example conversation above, the chatbot is aware of the user’s current location based on his mobile’s GPS and assumes the source. The chatbot can use the information gathered from mobile devices to determine physical context (like location, speed, etc.) and it can also use saved user data (such as class preference) to determine domain context. Context awareness and the ability to derive entity information makes a chatbot more aware and human.

Unsupervised & Supervised Learning

The identification of intent and entities enables the chatbot to know which API to call, what data to fetch, and which parameters to pass. The pre-loading and classification of Common Vocabulary, Domain Specific Vocabulary, Named Entitles, and Domain Specific Entities can, therefore, be deemed the chatbot’s unsupervised, “learning” processes.

However, there will be many instances when the chatbot will not be able to accurately translate a user’s phrase into intent. For this, all bot platforms allow developers to review missed translations and manually label these phrases with their appropriate intents. With this process, the chatbots learn from their mistakes or “lack of knowledge” in a supervised environment. In the example below, the bot cannot associate “whazzup” to any intent and has asked the developer to associate it to the appropriate one.


How does a Chatbot respond? 

Now that we have discussed how a chatbot processes natural language, let’s discuss how chatbots respond to questions or commands in a manner as similar to natural, human responses as possible. There are multiple algorithms and models that allow a chatbot to determine its responses, but we will touch on only one approach: the retrieval-based model.

Retrieval-Based Model

A predominant approach due to easy implementation, the retrieval-based model involves a predefined response to a command or question. The response can be static or selected from a predefined set of commands based on rules or persona information (that of the user interacting with the chatbot). While this approach may seem smarter, the truth is that responses are limited to a finite set of vocabulary.

So, how can we make chatbots more perceptive? The more context a chatbot has, the more intelligent it can become. The chatbot can begin to select responses based on the user’s mood, physical, or linguistic context. Services like IBM’s Watson™ Tone Analyzer and Personality Insights can be used to gather this user context, and change the style or flow of the dialogue accordingly.


Let’s build Chatbots!

There is an enormous list of available chatbot ecosystems and platforms, along with many tutorials that can help those looking to build chatbots. These platforms are very simple and easy to use, and do not require vast amounts of artificial intelligence knowledge.


The chatbots and machine intelligence space is expanding at a rapid pace, and has to be taken seriously by organizations and individuals alike. In the near future, AI and machine learning will shift from being the domain of a closed community to touching every sphere of our lives. Being aware of this space will be as important as knowing how to operate a smartphone.

By Siddhartha Lahiri, Senior Manager, SapientRazorfish

We’ve got that Superdrug feeling

Some fab news for Feb: following another successful pitch we’ve been appointed to create the advertising for famous health and beauty retailer Superdrug – with pre-production for our exciting TVC campaign already well underway.
The work will take ‘that Superdrug feeling’ in a bold, daring new direction, getting viewers to see the brand like never before and inspiring them to feel beautiful. Look out for the ads launching in the spring, and then targeted to a range of key dates throughout the year.

5 Extremely Useful Digital Marketing Stats: February 2017

We’re back with five more extremely useful digital marketing stats.

From Black History month to the Oscars, February is loaded with special events and holidays. Many advertisers roll out special sales to drive foot traffic or online transactions, but more and more brands are learning that to increase actual spend, engagement, and loyalty, they need to leverage content in more a strategic, thoughtful manner.

We’ve pulled five important digital marketing stats every marketer should know and used February-specific executions from leading brands to illustrate how certain brands are doing just that.


60 percent of content created by brands is “just clutter” – meaning it has “little or no impact on business results or people’s lives.” (source: Havas)

Who is cutting out the clutter?

Companies often produce content without giving much thought to what inspires consumers to act. It is a terrible waste of time and money and often leads to consumers tuning out due to a deluge of meaningless “noise.”

To avoid this, brands should emulate companies like Allstate.

This year, the insurance brand is refocusing on key African American audiences in targeted cities around the country with more impactful content. Allstate launched a digital, social and radio campaign titled “Worth Telling,” which shares stories about important African American influencers and ties them back to special events and Allstate’s services.

Marketing Week reported, “Havas found a 71 percent correlation between content effectiveness and a brand’s impact on consumers’ personal well-being.”

Allstate’s mix of social and experiential tactics, written and visual materials, allows them to speak to different individuals with meaning, but also get more mileage from a single campaign by surfacing the content in different ways and through different channels.


40 percent of marketers say the emergence of millennials will have the greatest effect on their industry – a number almost equal to those who said it would be mobile (47 percent). (source: eMarketer)

How do you reach millennials effectively?

According to Millennial Marketing, “80 million millennial consumers, ages 18 to 37, want to spend their money on brands that are socially responsible.” Knowing this, it’s hard to imagine that Airbnb’s #WeAccept campaign didn’t resonate with this consumer segment.

The hotel alternative app explains the values driving the campaign as follows: “We believe in the simple idea that no matter who you are, where you’re from, who you love, or who you worship, you deserve to belong.” They go on to share how they have provided housing for refugees, evacuees of disasters, and other people in-need of short-term housing – with a goal of helping 100,000 individuals over the next five years.

Airbnb’s choice to launch this values-based campaign on social media – a place millennials spend on average about six hours a week according to Nielsen – smartly considers and argues the “why” consumers should choose them and then articulates that reason in a channel where they are spending time.


42 percent of marketers want to better link their campaigns into a comprehensive, connected experience that drives engagement throughout the shopping lifecycle. (source: CMO Council)

Who can they look to as an example?

For Valentine’s Day, retailer David’s Bridal executed a brilliant campaign on Pinterest that connected to each stage of the wedding “engagement lifecycle,” but also drove truly meaningful consumer interactions.

In this campaign, brides-to-be are given a personalized Pinterest board after completing an interest quiz. These boards offer value by helping spark inspiration and plan a wedding, but for the retailer, it connects the consumer to a commerce experience by allowing users to schedule an appointment with the retailer directly or shop with them online.

David’s Bridal considered buying behavior in a truly holistic way. It is aware of the numerous proposals that happen on Valentine’s Day, created a fun “game” to serve useful content to the consumer, and then connects to a trackable online-to-offline experience.


Roughly two-thirds (68 percent) of consumers said they’ll compare prices in retailers’ weekly circulars to find the lowest prices. (source: IRI)

Who is making weekly circulars more valuable for consumers?

Publix is a high-end grocer that strives to make even their weekly ad a rich content experience to stand out among competitors. They often run themes to contextualize their products and inspire consumers to try new products, increase their basket size, or go with a premium brand.

This year, they’re running several pages designed to highlight Mardi Gras specific deals. Event driven executions like this are nothing new for retailers. However, what brands can learn from Publix is that even traditional digital experiences can sell more products when the content that present them offers more contextual value.


Smartphone and tablet usage rose by about 32 percent [after the Super Bowl Halftime Show] as viewers were posting on social media and texting about the performance. (source: Fetch)

What can this teach us about cross-device advertising during big media events?

This year the average cost for a 30 second television ad during the Oscar’s went for $1.9 to $2 million. This makes the “Oscars second only to Super Bowl for ad revenue” and a place most brands cannot afford to play.

Lucky, 84 percent of smartphone and tablet owners engage with their devices while watching television – and, as Lady Gaga’s performance illustrates, a lot of their attention is up for grabs on social media.

AMC’s The Walking Dead – which airs opposite the Oscar’s – started #OscarsTWD encouraging their followers to modify the names of award-winning films to new titles related to the show’s characters. The show’s twitter account joined in by sharing photoshopped movie posters like these.

While AMC most likely won’t win out in a ratings battle with ABC, it did successfully insert itself into a social media “event” for virtually no cost. It did not gobble up media spots; it focused on what type of content was going to connect with the show’s audience.

This approach appears to have paid off. reports #OscarsTWD (started on 2/22) has already earned 712 posts with 2.5M reached and 6.3M impressions. Exclusive retail sponsor for the Oscar’s Walmart’s teaser film that uses #TheReceipt (started on 2/21) only has 86 posts with 1.4M reached and 2.4M impressions.

Were there any great executions this month we missed? Share it with us in the comments or on social!


Our EA team secured Game of Thrones star Natalie Dormer to play Dr Lexi T’Perro in Mass Effect: Andromeda

In the newest instalment of the Mass Effect series, Lexi enters the depths of outer space, stepping on board The Tempest. Natalie Dormer voices one of the game’s central characters and one of the first characters players will meet when they wake up from their 600-year cryo sleep.

Past is Just That…

Dare Greatly — introduced in 2015 showcasing entrepreneurs who epitomize what it means to dare — continues as the guiding principle of the campaign. Now, Cadillac shares how they are turning the Dare Greatly principle into practice as they drive the world forward through their strong stance in culture, their future vision and their vehicles. Cadillac has, and always will, drive the world forward.

As a brand with deep historic roots in American culture, we want to remind the world that even though the brand has always been iconic, it’s the future, the daring through engineering, design and power that will continue to be what makes Cadillac a force to be reckoned with as and American automotive maker.

The fully integrated campaign brings depth to Cadillac’s past, present and future.
Multiplatform content will appear across TV, digital, and experiential, inviting people to explore what it takes to move forward. The campaign also includes an immersive digital experience on, with an interactive timeline experience where viewers can explore a Cadillac’s history and past, present and future innovations. Rounding out the campaign are a series of supporting TV ads looking at the current cars and how they are answering the future vision of the brand through engineering and design today.

The post Past is Just That… appeared first on Rokkan.

Bernie & Phyl’s – furniture retailer too sexy?

A not so subtle misdirect in advertising can deliver a surprise, an unforgettable message and instigate action.

Article in Boston Business Journal
The story behind Bernie & Phyl’s sexually suggestive ads:

Article in Furniture Today
Bernie & Phyl’s seeks young consumer with suggestive ads:

Friday Reading #85

Doris might not have been the choice of name best suited to warning the public of yesterday’s storm – we’re not exactly copywriters, but there’s something about a name your grandmother might have which doesn’t exactly inspire alarm. What’s next, Storm Peggy? Astrid? Does it offer you a nice cup of tea while pulling off your roof tiles? Goodstuff managed to sit out the whirlwind of crochet and Bovril yesterday with our monthly sharing session. For February it was a studio team special, giving Lois, Chris, Rich and I suppose even Simeon the proper spotlight on the brilliant international creative work, social content and design most of the agency don’t see on a daily basis.

While advertisers are more than keen to big up success and fame, Cards Against Humanity are one of the few advertisers to admit problems and failures. After the roaring success of digging a hole, the failure of their Superbowl ad had given them pause for thought, and it’s enlightening to see how a brand can understand and learn from mistakes. Key issues such as firing W+K 48 hours before transmission, and getting too focused on potatoes really undermined their core media goal. To be fair they did research the ad, but rather than asking one person if the ad was effective 70 times, they admit it might have been better to ask 70 people once each. Lessons we can all learn from.

When it comes to social conditioning in our daily lives,
we’re often blind to the ways cultural habits and traditions shape society, reinforcing social narratives which no longer ring true. The R/GA’s “Fans of
Love” valentines ad smashes through out of date perceptions of what it means to be an NFL fan, shedding light on the way brands are responsible for
shaping perceptions – by turning the conventional Kiss Cam
completely on its head. The real tearjerker of it all is the use of real
people, real relations, and really sad music. Through it’s celebration of
diversity and inclusion, no doubt it has earned a tonne of shares, especially as it
taps it to a cultural and emotional truth that is so keenly felt in America at
this time.

Trump Again. Promise we aren’t getting overly political, but he really is asking
for it.

the judiciary, international political community, and pretty much any reasonable human being have spoken out against Trump’s travel ban; brands so far have tended to avoid commenting entirely.

can be a minefield for brands, and should always be treated with great care.
But a few have begun speaking up and dipping their toes into the swamp.

Nicola Kemp has penned an interesting piece for Campaign, arguing that brands
shouldn’t look to profit from speaking out, but instead look to choose causes
that define themselves and align with their audience. “Being true to who [they]
are, standing up for what they think is right”, resonating with younger
generations who feel brands have a duty to “do more good”.

stand out winner so far has to be Royal Jordan; bold, brave, but probably a win/win for the airline in the short term at least.

Mark Zuckerberg has released a 5,500 word manifesto,
outlining his vision for the future of Facebook. 2016 was a fairly turbulent
year for the company – there were issues with offensive content, safety for
users online, and perhaps most controversially, the distribution of fake news.
Facebook have clearly outgrown their former role as a simple social media site,
and have now taken on much greater responsibilities – they are expected to lead
the way in terms of content filters, online security, and news validation. As
Zuckerberg reiterates
, his vision remains to make the world more ‘open and
connected’ – but there will undoubtedly be some issues to tackle along the way.

Our relationship with facts and truth is particularly topical at the moment, in the era of ‘fake news’ and the echo chamber of social media – the objectivity of truth is under threat. You might reasonably think that this is a product of the information age, that when anyone can create and distribute information without checks and balances, how do we know what to believe? There’s certainly an element of this, but The New Yorker have an interesting article on the subject at the moment – pointing out that this isn’t a new phenomenon. Once formed, opinions and impressions are remarkably perseverant because of the heuristics, or mental shortcuts, we all are subject to. It’s not a long read, and well worth five minutes over your mid morning cup of coffee.