Marketing Darwinism - by Paul Dunay
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Marketing Darwinism - by Paul Dunay
Advertising, Behavioral Targeting, Content Marketing, Conversion, Data Analytics, Innovation, Lead Generation, Online Advertising

The State of Digital Marketing 2015

digital_marketing

With mid-year coming up and summertime upon us, many marketers are taking stock of the first half of the year and re-checking their Digital Marketing plans to finish out 2015 strong.

So I’d like to offer you some statistics I found eye-opening from a recent report published by Smart Insights:

  • One half (50%) of businesses surveyed do not have a defined digital plan or strategy, although they are active in digital marketing.
  • Nearly 60% of peoples’ time is now devoted to digital marketing activities, showing the importance of skills development in this area.

The point-counterpoint is just so stark I couldn’t help but write about this.

For any CMO, developing the skills of their team should always be a top issue. You can’t have a high performing team with spotty skills especially in the area of digital marketing. Whether that’s as simple as; how to write an effective tweet, to how to write for the web, or how to write a pay-per-click advertising the common denominator is content and writing.

Summertime is a great time to do a bunch of Lunch and Learns across your team why not consider a series of weekly lunch and learns to get the skill level across your entire team up! Here’s an infographic with more great stats – hope you enjoy!

May 27, 2015by Paul Dunay
Advertising, Applications, Business Intelligence, Content Marketing, Conversion, Conversion Optimization, Data Mining, Innovation, Interactive Marketing, Lead Generation, Lead Nurturing, Marketing, Online Advertising, Pay Per Click, ROI, Strategy

The Missing Link Between Media and Marketing

link

It’s apparent that there’s a missing vital component in the quest to modernize marketing. Today’s marketing organizations are aggressively modernizing, automating and adding more digitally centered marketing tactics as they focus on their mandate to discover prospects and create new customers. To meet the challenge, CMOs have turbocharged Marketing Ops teams and are building their “Marketing Clouds,” leveraging marketing automation to nurture prospects, adding CRM to manage pipeline and customer relationships, while spending millions on branded websites and social pages, coupled with billions on media to promote their offerings.  We are not connecting that media investment, the prospects generated, nor their data, with our marketing systems and processes. Integration between the two is a critical missing link.

The prospect marketing effort, which is predominantly driven by third-party media investments in content syndication, search and advertising, is still very fragmented and, worse, seldom measured or optimized. Disconnected and unable to adequately track and optimize media spend, marketing organizations struggle with lead velocity, mixed data quality and a lack of ability to attribute results back to the source or measure ROI. This is a tough hit for marketing executives as they realize how much money they’re actually spending on media to create prospects—$40 billion+ on digital advertising alone in 2013, according to the IAB.

Here are 3 areas of focus for CMOs and marketing pros who are out to modernize their approach in order to drive a higher return on media and technology investment should consider:

  • Integrate third-party media investment and data with marketing systems and processes.  Today, engaging with the media community (publishers, affiliates and other sources) combined with the internal marketing processes necessary to get data into systems, requires numerous manual processes—hours of data scrubbing and lots of spreadsheets passed between media providers and marketing teams.  A more efficient approach is to automate by integrating the prospect and lead data garnered from media campaigns and partners directly with your marketing automation system and/or your CRM. Ensuring the data is delivered directly into your current systems eliminates numerous manual, resource-intensive tasks.
  • Validate prospect information in order to inject quality, actionable data, and thereby increase lead velocity and lower media costs.  Once you decide to directly inject prospect data from your third party media sources, it becomes essential that the media-driven data you’ve paid for is validated, cleansed and formatted for your marketing systems (Eloqua, Marketo, Salesforce, Pardot, etc.). This not only ensures that you get what you paid for from your media investment, it also allows you to more rapidly get down to the business of nurturing and developing customers.
  • “Close the Loop” to garner actionable insights that can be applied to optimize media campaigns and marketing programs. Today, we have the ability to gather data from every campaign we run but most of it we can’t and don’t act on.  Whether you leverage banners, email, content syndication, telemarketing, search or a combination and whether you utilize cost per acquisition, lead, sale, click or incoming call, you need to analyze marketing performance data by media channel, media source, creative, content, offers and campaigns all in one place.  Then you can more easily acquire insights that can be applied to optimize campaigns by focusing on higher performing tactics, redistributing media spend across the most successful media sources, and applying the resulting audience data to fine tune targeting parameters.

Taking action on the missing link is a necessity. If you are investing in media to generate prospects and acquire customers, be certain to connect those media programs with the rest of your marketing systems and process.

This post was written in collaboration with Integrate – learn more about Integrate at http://www.integrate.com

April 15, 2014by Paul Dunay
Advertising, Behavioral Targeting, Big Data, Business Intelligence, Commerce, Content Marketing, Conversational Marketing, Conversion Optimization, Customer, Customer Experience, Inbound Marketing, Influencer, Interactive Marketing, Lead Generation, Lead Nurturing, Leadership, Online Advertising, Online Testing, Optimization, Strategy, Thought Leadership

CMOs Win When High-Value Customers Are Treated Personally Online

Performance_Improvement

With constant access to a growing list of channels and devices, today’s connected customers are no longer satisfied with vanilla, one-size-fits-all experiences and offers. To stand out in the increasingly crowded and competitive marketplace, many C-level executives from the world’s most iconic brands are not content with just “Keeping Up With the Joneses.” Instead, they are actively seeking opportunities to better understand their high-value customers across every channel and device.

The reason for this is simple: These customers are more often than not brand loyalists and willing to persuade others to become regular brand purchasers if they’re kept happy and engaged consistently in every single place they are interactive with brands. But the task of keeping brands happy and engaged beyond one big “win” isn’t easy. It requires CMOs and the entire business, for that matter, to combine their internal resources with technology that’s both powerful and agile enough to boost customer engagement and revenue long term. And a brand’s success today, in this hyperconnected and digitally dependent environment we live in, depends heavily on leveraging digital to reward high-value customers. Rather than spout out a to-do list of tactics that show high-value customers they’re appreciated, here are some specific benefits instead that can be derived from deep and sophisticated forms of segmentation:

Don’t confuse high-value customers for high-volume customers.

In the less digitally savvy days, brands and their teams of analytics “experts” would navigate through Excel spreadsheets with massive amounts of data. In those days, there was sometimes confusion and lack of knowledge as to what constitutes a high-value customer. As a result, high-volume customers would often be mistakenly categorized, and subsequently treated, as high-value customers. But the reality was, and still is today, that people who interact with a brand frequently aren’t necessarily going to be the ones that have the most value from the perspective of consistent engagement, conversions and sales across multiple channels – from being inside a physical store to making a last-minute purchase on their mobile devices or shopping from their PCs. So it was common for those brands to see a huge surge in traffic for a short burst of time, but after the excitement faded, so did the engagement and ROI.

Marketers today need to adopt a more realistic and accurate definition of value that’s based on “the combination of opportunities to convert and increase potential order value, and maximizes both, while at the same time, yields your highest value customers.” But identifying the best customers online and serving them the content they need is easier said than done. The key to obtaining a 360-degree view of high-value customers means personalizing and differentiating every message by offering an array of online content to drive maximum conversion and revenue uplifts.

To get there, the modern brands of today must, and I repeat must, push beyond the basic forms of personalization – think product recommendations or ads that chase you around on the Web. Instead, these brands are likely to be best served by leveraging the power of technology, real-time data and automated segmentation to effectively profile individuals who are in actuality high-value customers. That identification is the first hurdle that brands need to overcome. From there, it’s all about extending personalization across every device and channel to delight and please consumers with the most humanly relevant, easy-to-navigate and engaging offers.

Tap into the beauty of data to boost cross-channel ROI.

The urgency to identify high-value customers online is being fueled by a number of factors. First, the online channel represents the biggest growth opportunity for most brands. According to a new Forrester Research global eCommerce report, e-commerce revenues are going to continue to grow in 2014 as customers’ online buying habits evolve. Meanwhile, a new study released by IBM in 2014 reveals that brands stand to lose $83 billion due to poor customer experiences.

When you think about it, that’s a lot of revenue that could be left on the table if brands don’t put every segment of their customers first. For example, brands are able to gather intelligence on channels shopped — including Web, tablet, mobile phone or store — and then integrate data from a CRM system, POS, DPM or other source to help augment customer profiles. By combining intelligence on shopping history, search history and Web behavior, this combined intelligence can help brands identify when to offer an in-store promotion, extend a seasonal offer or make a product recommendation. If brands are able to identify their high-value customers, then they can scale the business more efficiently and ensure that every decision and action they make is focused on delivering the right actions defined by the right data.

Discover unique attributes of unique markets.

One common challenge that today’s brands face is a tendency to make decisions based on data points as opposed to data profiles. In these instances, it’s not that uncommon for brands to use pre-existing data models to identify their buyer personas as well as the content and offers they deliver on their websites and mobile sites.

By using automated segmentation and targeting, brands should be able to detect segments unique to their brands and industries. This process turns traditional targeting on its head because buyer profiles and offers are all determined by real-time intelligence gathered against real-time customer behavior. One example of such a data profile could be a “weekend shopper” persona. Based on their digital behavior and purchase activity, these shoppers may spend significantly more money (at multiple channels) than mid-week shoppers. So it’s more than likely these shoppers would be frustrated and intolerant of being shown irrelevant and mismatched offers that would better suit mid-week shoppers. That is where many brands today realize that even with all the benefits of technology, they have made shoppers that much less tolerant and patient with poor experiences.

Move away from campaign analysis; bring it back to the customer.

One of the ways brands have traditionally gathered intelligence on customer behaviors is through basic A/B testing of different content and offers. Building on the quantifiable value of testing, many innovative brands are now shifting from campaign-driven analysis to a more holistic and accurate customer-driven analysis. By doing so, marketers can get a more robust and humanistic view of every single customer segment, as well as being able to identify which segments are performing better than others. With businesses – across all teams – being challenged to consistently demonstrate ROI, this ability to gauge the value of high-value customers and appropriately target them with the best content on the best devices at the best times and places, is especially critical to success.

March 13, 2014by Paul Dunay
Advertising, Behavioral Targeting, Conversion Optimization, Customer Experience, Interactive Marketing, Lead Generation, Online Advertising, Online Testing, Testing

Why CMOs Should Stop Being Addicted to Pay-per-Click Ads

bigstock_Road_To_Recovery_Sign_4438546

Back in 2001, when Google AdWords was just launched, I remember the day that my first pay-per-click (PPC) campaign yielded the first batch of leads for the company I was working for. In all, this tactic generated 42 leads, and a significant portion was even qualified. Better yet, the price was just right, ranging between 15 to 25 cents per click. It seemed like a great tool to grow our website traffic, as well as an effective means for generating unique leads. There was no doubt in my mind we were going to scale this campaign.

Since then, a lot has changed in the PPC world. Now there is a great deal more available in terms of competitive products from other search engines like Bing. You don’t just have an array of search ads; now there are native ads on Google that replicate the search experience, remarketing display ads, mobile ads, Facebook-sponsored ads, sponsored tweets via Twitter and LinkedIn ads. The CMO has fallen in love with performance-based ads like these PPC ad vehicles, mainly because they work (to some extent) and it’s easy to justify a budget for it when a return can be clearly shown to the CFO.

But like any ad, the efficacy of a single ad deteriorates over time because people become numb to repeated exposure to the ad. So the typical reaction is to change the ad around and run it again. But what happens when the efficacy of the ad network declines? The usual approach from marketers is to simply run more ads and spread them out in different places — all in the hopes that they will stick somewhere. But hope and guesswork do not make an effective strategy.

It’s amazing to me that so many enterprise-level CMOs focus on increasing their digital advertising budgets as the first option to increase online engagement. That’s only going to lead to a flawed strategy and less-than-stellar results. Why would you spend a lot of money, resources and staff hours on mobile ads if the online or mobile experience itself frustrates, irks and turns away customers?

What CMOs need to do is focus on creating seamless, easy-to-use-and-navigate, relevant and meaningful experiences for customers, regardless of their device or channel. And that doesn’t mean launching a full redesign of your website with fancy UX architecture, nor does it mean you should put all your mobile eggs into the responsive design basket. It means taking the slow and steady approach to test and tweak every single experience across the entire engagement funnel and using real-time data to power more personalized experiences that meet the individual needs, habits and behaviors of customers.

But before CMOs raise their hands in the air in praise of online testing and personalization, they need to make sure that they’re measuring the right metrics (that really matter for their business). For instance, analyze bounce rates and your average number of page views. These types of insights can tell you a story about your visitors — who they are, what they’re doing, where they’re going within your website or mobile site and what types of actions they’re taking. What if you have a high double-digit bounce rate of 30%, 40% or even 50%? This is what’s commonly known as the “show up and throw up” approach in the Web business. Most likely, you have a low single-digit page view of 1.xx or 2.xx, which is not uncommon. This is where the money is literally falling out of your budget. And that’s not something CMOs can or should take lightly.

Consider taking a piece of your PPC ad budget and instead, put it to good use by testing and optimizing your online experience. I’m not talking about search engine optimization (SEO). What I’m talking about is making every single page a funnel within a website or mobile site optimized and personalized for the actual traffic you are driving to it. For example, if Facebook is driving a certain portion of traffic to your website, are you using all of the data you have about those visitors and combining it with Facebook data to create the most intuitive, relevant and engaging on-site experience to convert “lookers” into purchasers? If a mobile ad is directing smartphone users to your mobile site, have you tested the specific page they’re landing on and optimizing it to drive higher engagement, conversions and cross-channel revenue? If your answer is no, then you have a serious problem.

The reality is that in a world where the consumer reigns supreme, there is an abundance of opportunities for brands to connect, interact with, speak to, engage and convert casual browsers into loyal brand advocates. So it’s high time brands stop running themselves ragged with PPC ads and start putting their attention toward creating a unified customer experience across every single device and channel.

January 15, 2014by Paul Dunay
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Welcome to my blog, my name is Paul Dunay and I lead Red Hat's Financial Services Marketing team Globally, I am also a Certified Professional Coach, Author and Award-Winning B2B Marketing Expert. Any views expressed are my own.

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