How to Thrive in a Downturn

I’ve been asked a few times recently about the impact of a potential economic downturn on marketing strategy. Words like “crisis” have surfaced once or twice. My response to that, in the words of noted Stanford economist Paul Romer, is “a crisis is a terrible thing to waste”.

A little background here. I’ve had the unique luxury of living a professional life in digital since the late 90’s. While I won’t claim to have seen it all, I have seen a lot. I treasure my life experiences such as my first job in digital which was two blocks away from a scrappy small startup called Amazon.com, helping to launch the online DVD business at Blockbuster and thereby personally experiencing the slow growth and now gargantuan state of digital streaming, and watching business models too early for their time, such as Kozmo, reemerge into a thriving gig economy like Uber. 

I also had the formative experience of working through two economic downturns. While 2008, was wide-ranging and systemic due to the larger financial meltdown, the dot com bubble implosion of 2000 felt more personal and also character-building as it made me question my profession and whether I should take a more orthodox career path. I did not, and now, I’m in a field that continues to grow and thrive above and beyond industry growth rates. Additionally, I saw companies thrive in the down markets and reemerge even stronger with a competitive advantage when the economy rebounded. I wanted to take a deeper look into some of those characteristics of some of those companies that not only survived but thrived in a down economy.

A sobering reality is that the economy is facing headwinds. It’s okay. Every market expansion has to end. Some statistical backing lies in overall global economic output slowing, a slowdown of manufacturing, a decline in long-term optimism, and business investment on the decline.

In addition, there are some broader global factors such as Brexit and the US-China Trade War that add to uncertainty and long-term business investment risk. Weather events driven by climate change can create unexpected economic impacts. Lastly, in our industry, digital privacy creates both regulatory challenges and a reduced ability to maintain a line of sight on marketing investments. In an economy that is cooling, these extraneous events are not helpful. 

Now, the question becomes, what is the playbook for succeeding in a downturn. There are some best practices based on extensive studies of what successful companies do in a downturn, which I’ll briefly cover. There are also some thoughts on ways to take these larger corporate learnings and apply them to your marketing strategy.

Boston Consulting Group conducted an extensive study of more than 5,000 companies across the last four business cycles. In studying all US public companies with greater than $50 million in annualized sales, they found that nearly 75% of those companies experienced a decline in revenue growth. What’s interesting is that 14% of those companies not only accelerated revenue growth but also increased profitability. That runs counter to most of everyone’s assumptions about what is possible in a downturn. So how did they do it?

They acted early: Companies that proactively recognized the threat (by discussing the possibility of a downturn in their earnings calls before the 2008 recession) achieved 6 percentage points better Total Shareholder Return than those that did not.

They looked beyond the short-term: Companies that had a long-term orientation (based on scanning of SEC filings) achieved 4 percentage points better Total Shareholder Return than those that did not.

They focused on growth in addition to cost-cutting: Revenue growth was determined to be the biggest driver of Total Shareholder Return (nearly 50% of the total return) which was twice as large as the impact of cost reductions.

Now, you may not have the ability to change your overall corporate strategy, but you should have the ability to apply these learnings to your day-to-day in overseeing all or pieces of your company’s digital marketing strategy. While below are some examples, it would behoove the reader to think through what is both meaningful and also practical within the context of your unique company, organization, and risk tolerance.

Act early: It is not overreacting to start your planning now for a downturn. It is proactive and based on the research, it is prudent to maximize your opportunity both in and after a downturn. So, put in some thought as to how you budget, plan, and execute in differing scenarios. There is no “good scenario”, but you can guesstimate what occurs to metrics like media cost (ad spending typically goes down and in theory so should media prices based on lower competition), conversion rate (customers may not be as likely to buy in a downturn), promotional necessity (customers may seek more promotional offers to close the deal), and your ability to execute (hiring usually slows down so your ability to realistically execute across many initiatives will likely decline). Additionally, put some pressure on your team and your agency partners to think through these scenarios. You’ll be happy to have thought through them as opposed to them occurring and you having to react after the fact.

Look beyond the short-term: Value generated on mergers and acquisitions in a down economy is actually greater than in expansion. Additionally, these deals tend to be focused on new businesses as opposed to bolting on to the same business. Market downturns normalize and create sanity in the marketplace. Real value becomes clearer. That logic applies outside of M&A, so think about how to expand your business (when few others are thinking the same). One tip would be to aspire to be the best in your category in adapting to your customer’s changing behavior in a downturn. They will change drastically as their investments decline and their discretionary income becomes more protected. So update your customer profiles and personas. Do quantitative and qualitative research. Adapt your messaging. Create empathy for your customer’s changing outlook and optimism. Most importantly, refine your measurement. Remember, digital privacy is making tracking harder and not easier. So think about becoming more of a test and learn culture and deploying some tried and true measurement (that can withstand some of the digital privacy challenges noted above), such as media mix modeling and matched market testing.

Focus on growth and cost cutting in parallel: If you audit your media programs infrequently, think about putting your foot on the gas. Audits are a great means to not only find cost savings, but also identify levers that are hampering growth. If you are insourcing one function of your marketing but leveraging agency partners for another, it may be worthwhile to see if your agency partner provides auditing as a service. You can qualify their capabilities here based on them having a definable and documented process and proven case studies for situations where an audit yielded revenue growth at a higher return. You should also focus on de-averaging your strategy. Meaning, don’t take an “across the board” approach such as “I will reduce spend by 10% across all media channels”. Take a look at what is growing and what is declining and fuel the growth. There is an argument for protecting the core business but invest in areas that will grow at a higher rate than the core. However, you should take baby steps away from your core.  This will ideally create outperformance in a period that will typically expect flat or declining performance.

In summary, we can learn from the past to not just survive but thrive in a down economy.

Speaking at AdAge Next on Potential of Blockchain in Advertising

Originally published on PMG Blog

Dustin Engel, took to the stage at the 2017 Ad Age Next Conference a few weeks ago to break down the confusion surrounding blockchain’s capabilities while digging into the specifics of how and when marketers can expect to start leveraging this new technology.

To emphasize the message that blockchain isn’t a technology to be fearful of, but rather marketers should be excited about, Dustin uses his time at the Ad Age Next Conference to debunk myths and explore blockchain’s multi-faceted opportunities that will help advertisers achieve transparency, better data security and a more holistic view of attribution for the advertising ecosystem.

As Dustin thoughtfully articulates in his presentation, the adoption of blockchain may be quickly upon us in 2018, as over 80,000 Github projects and thousands of investment dollars are being funneled into the research and development of blockchains while consumers become more impatient with out-of-date security protocols that cause nationwide data breaches and security failures.

In addition to outlining smart contracts, consumer compensation opportunities like micropayments, and the benefits of conducting business in a self-policing ecosystem, Dustin spotlights the pivotal opportunity of blockchain for advertisers and brands: serving as a standardized data set for advertisers. As a result of allowing agencies to data mine the blockchain for more holistic attribution and reporting upon industry-wide adoption, Dustin anticipates that advertisers will be able to use this emerging technology to unlock true transparency and help brands gain higher earnings.

By walking through potential advertising scenarios and outlining a roadmap of blockchain’s future, Dustin also highlights the importance of educating yourself and keeping a close eye on “stimulus events” (like data breaches) that could drive the industry towards the use of blockchain much faster than we may anticipate.

To watch Dustin’s presentation and learn more intriguing insights about blockchain technology, check out his 2017 Ad Age Next Conference presentation here.

2016 Data Strategy Checklist for Digital Marketers

Originally published on the PMG Blog on December 1, 2015

Congratulations!  You’re just wrapping up a (hopefully) successful 2015.  You’re also well into 2016 planning.  Based on what we’re hearing and seeing, 2016 seems to be the year that advertisers will put data strategies in the lead, more so than any year we’ve seen.  These data strategies can be new forms of CRM activation, new ways to visualize holistic business performance, attribution and advanced data activation.

Silicon Valley has also noticed this trend.  Most noticeable is the growth of cloud-based data services such as Amazon Web ServicesGoogle and Microsoft Azure.  There is also a renaissance in data discovery tools from larger companies such as Tableau, to upstart technology dashboarding companies such as BeckonOrgamiLogic and Domo.

You can boil this down to one simple reason, there is simply so much data in an advertiser’s hands.  It feels like a good thing to have all of this data, but actually it’s one of the digital industry’s biggest forms of stress on an organization and its leadership.  That stress is the realization that you have an underutilized asset with a high perceived cost and complexity to turn into a competitive advantage.

Insights and data activation (not just the data itself) is the currency that powers today’s digital media channels.  Without insights and the ability to activate data into media channels in a curated and automated manner, advertisers will have that persistent feeling of being left behind.

 

How usable is my data?:

This is the eternal question of whether the data is clean and can be trusted, and this is indeed the biggest question to answer.

To answer this question, an advertiser needs to conduct a comprehensive audit. The way that PMG approaches a client data audit is a clear breakdown of dimensions (the columns in a data table) and measures (the numbers and attributes that populate the columns) across your key data sources and to showcase errors visually (to showcase the gravity of the error and the prioritization that should be assigned to resolving).

Simplistically, an audit will be comprised of three pieces:

– Dimension Map – A tree hierarchy of key dimensions to identify mapping errors or points of inconsistency.  This identifies areas of improvement in the data system being audited or in the trafficking process when advertisements go out the door.

– Measure Audit – This is where we reference measures being seen across multiple data systems (such as sales) and compare the totals.  The common misconception is that these numbers SHOULD total up to the same amount.  The reality is that this is rarely the case.  Simply put: different data sources see the world in different ways.  It is vital to have experience in your organization or in your data services partner to understand the nuance and know whether inconsistency is expected or is an actual problem.

– Resolution Plan – The plan essentially addresses how you turn unclean legacy data into usable data and how to make sure the data is clean going forward.  What may surprise you is that this is not always as complicated as it seems.  Understanding the error in the data typically leads to a method of repackaging legacy data to make it usable.  It’s never “what’s done is done, so let’s move on.” We’ve also typically found automated processes or a process playbook (with alerting of errors when they are generated) will typically address the data cleanliness going forward.

 

How much labor is involved in utilizing my data?:

Efficiency is the key when it comes to utilizing your data.  The saying of “too many chefs in the kitchen” is extremely applicable to data.  If your data automation is lacking, you will simply need more bodies to do the work.  The more bodies you have, the more likely you will create divergent processes and more manual errors.  Therefore, investing in a solution to automate your data is key to data survival.

At PMG, we’ve actually made a multi million-dollar investment and dedicated significant time and resources in our homegrown, proprietary data platform to automate data from our clients’ disparate systems; more than 20 platform-specific data sources such as Google AnalyticsFacebook Atlas, and Adobe Marketing Cloud with built-in data blending and standardization. Our combined data output is then easily accessible by platforms such as R Studio and Tableau.  We’ve also constructed this data platform on a scalable, cloud-based platform so that we can scale up or scale down to best suit our clients’ needs and provide them with enterprise-grade reliability.

If PMG is not your agency, don’t worry (well, maybe worry just a little). There are many emerging and established solutions in the market.  If you’re a small or medium-sized business, Datahero is a great, inexpensive solution for automating data from data sources such as Salesforce, Google Analytics and Marketo with automated data visualization built into the product.  For marketing organizations in large enterprises, solutions such as BIME and Beckon offer access to API’s and dashboarding services.  It’s getting easier every day to automate and utilize your data.  So don’t just have a plan to get to your data.  Have a plan to use it to the fullest.

 

How impactful is my data?:

This is where the art and science come together.   The opportunity for making data impactful is significantly aided by data cleanliness (trust) and automation (ease of data sourcing).  The rest is left to nuance and context.  The digital marketing technology landscape is extremely fragmented. A commoditized view of the technologies that create the data can be a huge pitfall for advertisers.

Understanding the ins and outs of data sources leads to unique ways to blend different data sources (joining or stacking complementary data sources together) to create unseen opportunities or identify areas of improvement.

This nuance and context also enables the statistical modeling.  As typically models need to be contextually fit to be useful, understanding of the source is imperative to make statistical modeling a competitive advantage.

 

Lastly, data visualization is an iterative and contextual game.  While the large scale dashboarding companies provide efficiency value that can be easily quantified, we have found that your data visualization and digital strategy should be highly interconnected.

This is why our data team at PMG has seen the success and generated the client satisfaction that we have over the past 18 months.  Nuance, context and a keen understanding of the media programs we operate for our clients (and the rare few that we don’t).

To account for this nuance and context, it is imperative that you have a data lead on your team that has a comprehensive understanding of your business and is highly experienced in the nuances of digital media.  That will ensure whatever solution you choose will not just generate efficiency, but it will also generate impact.

In summary, get ahead of your data challenges in 2016.  Once you do, your stress level will drop and your optimism and will grow. And isn’t that what we’re all looking for when as we ring in the new year?

 

Facebook's Atlas (Re)Launch and 6 Points to Consider

[Originally published the PMG Blog on October 6, 2014]

You may have seen yesterday that Facebook brought Atlas out of the skunk works to reemerge as a revamped competitor in the digital ad delivery space.  As this conveniently surfaced during Adweek, there will no doubt be momentum on this for a couple of reasons.

  • We digital marketing dinosaurs remember fondly Atlas’ heyday as a best-in-class ad server. It will be great to see another major player in the ad delivery market (hopefully). Press announcements evoking fond nostalgia never hurt anybody.
  • The tracking methodology being used by Atlas will hopefully usher in a new period of coexistence between the privacy-focused consumer and the data-hungry advertiser.

For now, let’s focus on point #2. The tracking methodology serving as the primary mechanism (based on news reports) is geared towards Facebook’s omnipresent view of an online user’s “Sign-In State.”  This Sign-In State Tracking (SST) standard is exciting because not only does it move marketers from an antiquated cookie-standard of tracking, but it hopefully allows greater control to the consumer in what they want to share and if they will share any information at all about themselves.

Marketers now have a more reliable source of cross-device tracking of their customers and prospects as it is extremely rare for a consumer to A) not be on Facebook (Facebook reaches 83% of all online users per comScore) and B) not be actively logged in either via phone or desktop or both. As there are very few entities that have this kind of SST tracking scale and the ability to execute ad delivery (Google and Facebook) and those who may be hunting for an ad server to match to SST scale (Apple, Twitter and potentially Adobe), this simplifies the game…to a point.

Unless any future SST players want to band together to create a standardized data exchange, there will be new market for data “last milers” who want to bridge these data sets. Potentially a growth opportunity for DMP’s and the evolving tag management companies who are chasing the illustrious “unified customer ID” for advertisers and then porting that ID to data players. Nevertheless, this market will come together and create greater transparency from the existing 3rd party (and perhaps 1st party) cookies.

For consumers, trying to opt-out of tracking is either a web browser setting activity (not fun for the less tech-inclined) or directly with data brokers (less fun than a route canal). This opens up the game for privacy control by simplifying the primary holders of your data.  As consumers are already training themselves on privacy control in social media and across the Google ecosystem, this blends well into their current privacy protection behavior.

route canal). This opens up the game for privacy control by simplifying the primary holders of your data.  As consumers are already training themselves on privacy control in social media and across the Google ecosystem, this blends well into their current privacy protection behavior.

This should play well into the soothing of tensions in the great privacy debate. So long as the SST players adhere to the mantra “With great power comes great responsibility.” Here’s your chance to be benevolent and just overlords of my data.

Facebook is already looking like they see the bigger opportunity with announcements of partnership with optimization platforms like Kenshoo and Marin and with agency partnerships. From the views of the user interface in the press, it also looks like there was a major overhaul in the UI that hopefully means that we may see some new ad server innovation outside of just look and feel.

For advertisers, there is a lot to consider here. But there is also much more to hear before you start your ad server shopping, such as:

  • While the privacy changes in iOS 8 are not as strong as predicted, does SST methodology outweigh the planned focus to make mobile users anonymous at the hardware level and provide true cross-channel attribution?
  • What are the plans of the other potential SST players such as Google?
  • What are the plans for those on the SST fringe (SST scale but no ad delivery of substance) such as Adobe and Twitter?
  • Will Apple get into the game or is Tim Cook’s stance in the press lately a sign that Apple will bow out of this data arms race?
  • Beyond the tracking methodology innovation, how does Atlas stack up to other ad servers considering the many years of being relatively dormant from a roadmap perspective?
  • How will existing analytics leverage SST and how long will it take for the information to bubble into analytics packages such as Adobe and IBM or with attribution platforms such as VisualIQ, Convertro, and Adometry by Google? I have a feeling that the last one may be covered here if Google enters the game as expected.

 

Long story short, advertisers should get excited about the wave of innovation to soon come…but you probably want your procurement folks to stay on Alert 5 for the near term until some of these key questions have solid answers.