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Tag : ROI

New Report on Conference Exhibition ROI

BioBM conducted a survey of 61 life science commercial professionals to assess their opinions of conferences, conference spending, revenues derived from conferences, and trends related to conferences. The results are in the newly published “Scientific Conferences Survey Report” now available for free download.

The report seeks to shed light on a number of key questions surrounding conferences. Considering the massive costs and increasing ability to digitally and inexpensively reach a hyper-targeted audience, are conferences really still worth it? Are we over-investing in them at the expense of higher-ROI opportunities? How does spending on conferences compare to the revenues generated from them? What differentiates high-performing exhibitors from others? How will exhibition spending change in the near future? Will virtual conferences play a significant role in the short- to mid-term future?

Some of the results are shockingly clear and many provide valuable insights. To preview the document or download your copy, visit the report page.

Remarketing by the Numbers

We recently cited some newly released findings from the Boston Consulting Group (BCG) stating that “display retargeting from paid search ads can deliver a 40 percent reduction in CPA.” It was met with some hesitation from Mariano GuzmĂĄn of Laboratorios Conda, who stated:

“[…] when I have clicked on a [life science website] what I have experienced is a tremendous amount of retargeting for 1 month that I have not liked at all as an internet user, and I do not feel my clients would as well”

Being me, I like to answer questions with facts as much as possible, so I dug some up. This one’s for you, Mariano!

To directly address Mariano’s concern, I found some studies on people’s opinions on retargeting. A 2012 Pew Research Study found that 68% of people are “not okay with it” due to behavior tracking while 28% are “okay with it” because of more relevant ads and information (4% had no opinion). I’m a little skeptical of the Pew study because they were priming the audience with reasons to “be okay” or “not be okay” with remarketing. In a sense, these people are choosing between behavior tracking + more relevant ads vs. no behavior tracking + less relevant ads. However, when users actually see the ads the ads don’t say to the viewer “by the way, we’re tracking your behavior.” Are some users aware of this? Certainly. Might some think it consciously? On occasion, sure, but nowhere near 100% of the time. However, 100% of the Pew study respondents were aware of it.

A slightly more recent 2013 study commissioned by Androit Digital and performed by Toluna asked the qusestion in a much more neutral manner (see page three of the linked-to study). They found that 30% have a positive impression about a brand for which they see retargeting ads, only 11% have a negative impression, and 59% have a neutral impression.

The Pew study and the Androit Digital study did agree on one thing – remarketing ads get noticed. In both, almost 60% of respondents noticed ads that were related to previous sites visited or products viewed.

Now to the undeniably positive side… The gains a company stands to make from remarketing.

In addition to the 40% reduction in cost per action cited in the aforementioned BCG study, a 2014 report from BCG entitled “Adding Data, Boosting Impact: Improving Engagement and Performance in Digital Advertising” found that retargeting improves overall CPC by 10%.

A 2010 comScore study evaluated the change in branded search queries for different types of digital advertising and found retargeting had provided the largest increase: 1046%.

In a 2011 Wall Street Journal article, Sucharita Mulpuru, an analyst at Forrester Research, stated that retail conversion rates are 3% on PCs and 4% to 5% on tablets. According to the National Retail Federation, 8% of customers will return to make a purchase on their own. Retargeting increases that number more than three-fold, to 26%.

There are many more studies that sing the praises of remarketing, however I wanted to stay away from case studies that investigate only single companies as well as data collected and presented by advertising service providers.

Here are my thoughts on the matter: Do some customers view retargeting unfavorably? Certainly, but that’s the nature of advertising. No matter what form it takes, some people will object to it. Considering that there is nothing ethically wrong with retargeting, we can’t give up on something that is proven to be a highly effective tactic because some people have an objection to it. In the end, it’s our job as marketers to help create success for the organizations we serve.

Marketing of Life Science Tools & Services

Analytics Will Save You

Analytics plays an important role in life science marketing, even for small companies.

 

From a marketing standpoint, most small life science companies live in the dark. There is a near-complete lack of meaningful information; it is rarely collected and when it is, it is rarely analyzed in a meaningful way. Even those who look at their marketing analytics every day gain very little useful information from it. Unsurprisingly, this limits the marketing effectiveness of the afflicted companies. Many small companies rely heavily on inbound marketing and it would be relatively easy to gain a very good understanding of their marketing effectiveness, but even those leave far too much to guesswork and undervalue information.

Analytics does not need to be complicated. It is not synonymous with “big data” and it doesn’t need to be expensive. On the contrary, analytics is one of those things that pays for itself. It allows you to make many of your other marketing efforts more effective. Done right, it clears out the fog created by “vanity metrics” and provides the information that you need to make decisions that improve actual business metrics.

Let’s say your company is like most small companies: you do a lot of marketing, a lot of it is digital, and most of it revolves around your website. You might have an email campaign, a search engine marketing campaign, and let’s say you do a bit of print advertising as well. If you market like most small life science companies, you have Google Analytics installed on your website and you either check it infrequently or obsessively. All that marketing you do points back to a few different pages on your website. Analytics tells you what is coming from paid or organic search, but the rest is mostly just direct traffic. You’re not really sure what comes from your email campaign vs. your print advertising vs. people bookmarking a page and coming back to it later. You definitely don’t know where your conversions are coming from. If you change something on your website, or add another email to your nurture campaign, you might have a hunch of how it affected conversion but if you’re trying to optimize a few things at the same time you definitely don’t know what is causing changes in performance. You use analytics, but you don’t really understand your analytics in a way that helps you make meaningful marketing decisions. You want to know more, but you don’t really have a budget for it.

So what can you do? Without a budget, you certainly can’t implement marketing automation which would keep good track of multi-platform campaigns, but your marketing probably isn’t so complex that you really need to do all that and you can still take a big step forward with Google Analytics alone.

For starters, implement event tracking for key actions on your website. Event tracking will help you answer questions such as “Did this new content increase my website conversions?” or “How many people are downloading the brochure for our main product?” You can also see how visits with events, or with a particular event, differed from overall visits (using “advanced segments” which you can read about here). So, for example, you’ll know whether those form submissions are coming mostly from organic traffic, referrals, or somewhere else.

Secondly, utilize query strings and / or redirects to better segment where traffic is originating from. You probably noticed that some websites will have a URL that ends something like this: […].html?source=twitter (content-centric websites like news sites like to do this the most). Everything after the question mark is a query string – it doesn’t effect navigation at all but it provides additional information. You can use query strings to differentiate the links that you post so you can more easily tell sources of traffic apart later. Also, say you post something on Twitter that gets shared on a different site. If you later get a conversion because of that shared link, chances are it will still have the unique query strong that you added so you’ll know that conversion originated because of a Twitter post rather than a seemingly random referral from a website for some unknown reason.

Lastly, if you’re using Google AdWords or Google Product Ads, be sure to use conversion tracking. It’s relatively easy to implement and it will greatly help you determine the ROI of your paid search campaigns.

There are a number of other things which you can do to better analyze your marketing effectiveness using Google Analytics and little else, but the above three things will dramatically improve your understanding of your marketing efforts compared to the average small life science company. They will also allow you to wean yourself off of “vanity metrics” – metrics such as monthly visitors which make you feel good when they go up but aren’t strongly tied to your bottom line – and instead focus on the factors that genuinely impact your business.

Without a significant budget, or even with no budget and just a bit of time, small life science companies can gain a much more comprehensive and meaningful view of their marketing. The inability to make data-driven decisions amounts to guesswork; it forces you to make decisions based primarily on instinct. Such decisions increase risk and decrease the likelihood that your marketing will be successful – both now and in the future. Luckily, there are analytics that are easy enough to implement and robust enough to provide you with sufficient data to make informed decisions. That’s why analytics will save you.

"Do you want to get a better understanding of your marketing without spending tens of thousands of dollars on subscriptions to marketing automation platforms? Do you wish Google Analytics would give you meaningful insights into your marketing performance instead of spewing out vanity metrics? All this is perfectly achievable, at limited cost. BioBM Consulting helps small life science tools companies implement Google Analytics, as well as other analytics platforms, in ways that help them achieve understanding without increasing overhead. Contact BioBM today to learn more about how we’re empowering companies with data."

Using the Right Metrics?

Much of marketing is about measurement: be it in determining the success of that recent promotional campaign, determining how to divvy up ad spending, or making the case for your share of next year’s budget. The inherent problem is one that executives often cite: the difficulty in tying specific marketing activities to revenue generation. While “big data” analytics and bulky, expensive CRM and / or ERP software can sometimes be used to get a better handle on overall marketing ROI, such solutions still do a poor job of teasing out contributions of individual activities and are most often beyond the capabilities of small companies to meaningfully manage or to afford. We must therefore pick and choose how to measure success in life science marketing, and meaningful measurement means choosing the right metrics.

Quick note: There was an excellent article in October’s Harvard Business Review on the topic, albeit from the perspective of measuring overall corporate financial performance perspective rather than marketing performance (subscribers can read it here).

There are three common reasons why you may be using the wrong metrics. The first is overconfidence. Perhaps you’ve been seen a metric be strongly predictive in the past or have been told of its importance by a respected peer. If you get it in your head that the metric is important then it’s easy for that thought to stick, regardless of whether or not there’s a basis in fact. The second is availability. Quite simply, we tend to use those metrics that are easily obtained, that we frequently encounter, or that simply come to mind quickly. The last is because use of a particular metric is the status quo: it’s either what you’ve been doing or what you know everyone else does.

In order for a metric to be valuable, it needs to be predictive (there is a causal relationship; a change in A causes change in B) and persistent (the causal relationship is reliably repetitive over time). In marketing, you often will not have troves of various companys’ data to sift through; you merely have your own company’s data. You may be able to use historical data to determine if a metric is persistently predictive of the desired outcome, but for young companies or those who have not been measuring marketing metrics, there may not be enough data to reliably determine which metric is the best to use. Even then, however, you can still take steps to ensure you use the right metrics.

First, you need to specify what your goals are. What are you trying to change? In marketing, this may be sales, it may be leads, etc. Secondly, using either past data or, barring the availability of sufficient data, a subjective best guess, create a theory of what metric(s) will drive the desired change. Third, identify the specific activities that you can undertake to improve your metric in order to create that desired change. Lastly, evaluate your decision. Did the metric perform as expected? Was it both predictive and persistent? Were you able to control (read: “improve”) it by undertaking specific actions?

In order to reliably improve marketing performance, you first need to know what to improve. By using metrics that are predictive and persistent, you’ll be able to set a clear path to achieving your marketing objectives.

"What are you doing with your marketing data? Have you been measuring marketing performance? Are you sure that specific actions are generating the desired results? If your life science company is having difficulty measuring marketing performance or collecting and analyzing marketing data, contact BioBM Consulting. Our life science marketing experts will help you collect, analyze, and turn marketing data into actionable insights. Call us today."

Forget the Sunk Costs

Life science business problemsCompanies resist change for many reasons: corporate culture, inter-departmental differences, vested interests, and many more. Yet one of the most common resistances to change, be it in marketing, product development, operations, or other areas, is one of the least justifiable: sunk costs. The reasoning that one’s company has already spent so many resources pursuing a particular endeavor is no more than an excuse with flawed reasoning and should be dismissed.

Ignoring sunk costs in decision making is a very broadly understood business principle however is often poorly implemented. This is often due to perception that changing direction would amount to the failure of the department, team or individual who is in charge of the current effort. Understandably, no one wants to be viewed as having failed.

So what can life science tools companies do to help ensure that we actually let sunk costs be bygones? First, we must ensure that all quantitative analyses used in decision making are unbiased and have ROI or other metrics calculated from the present day rather than any time in the past. In other words, we can only consider the costs and opportunities from the present day forward when we determine the opportunity costs of any particular option. That’s the simple part, however.

The more complicated part deals with defining failure. We also need to make clear how we define failure on any particular endeavor, as well as be cautious of how we disincentivize failure, to help ensure we create a culture that is appreciative of change rather than wary of it. An overly competitive corporate culture can contribute to such a resistance to change as well. All individuals and departments must work together to ensure that they progress effectively towards their common goals. This is admittedly a simplification, as such issues have been the focus of entire books, but it is still something that business leaders must be aware of.

When there is resistance to change within an organization, leaders need to determine the reason why such resistance exists in order to determine the validity of the resistance from a business standpoint.

"Is your life science organization stagnating? Let BioBM be your change agent. Our seasoned life science business consultants can help pave a clear path forward for your company and re-energize your organization to drive forward towards success. Contact us to confidentially discuss your problems or needs."

Slowing Global Economy

Image courtesy of ponsulak and FreeDigitalPhotos.net.You see it on the television, you read it in the newspapers – the global economy is slowing. The IMF has cut GDP estimates for the world as a whole to 4.0%, highlights the threat of renewed recession in the US and EU, has curbed estimates on China slightly, and projects a sharp drop-off in India’s economic growth compared to last year. Other economies are projected to show sharply weaker growth as well. Huge public debts also threaten austerity in major economies. All in all, the global economy is in a very precarious position … but what does that mean for you, the manufacturers and distributors of life science research tools?

Overall, the global life sciences research market will likely contract, and we are already seeing supporting evidence of such. The proposed 2012 NIH budget is trimmed by a modest 0.6%. I expect European and Japanese life science R&D spending to be trimmed by a similar amount. While many developed economies are struggling with debt, investments in research don’t seem to be high-priority chopping block items. What about the massive $100bn+ pharmaceutical and biotech research and development budgets? Well, while one may reasonably postulate that people in developed economies are losing their health care along with their jobs and this would lead to falling revenues, that does not seem to be the case. In fact, the largest threat to pharma / biotech seems to be generics, but even then global sales growth is still projected to be positive, albeit diminished. That being the case, don’t expect private-sector R&D to grow, but it shouldn’t shrink either. Overall, we will likely see only a very modest contraction in overall life science R&D spending. That’s good news.

The bad news is that this cuts the “growth” out of the market, although this is worse news if you’re a large company or an established player in your market segment. These companies rely more on growth in the market in order to grow themselves (at least organically), and companies with a high market share or those that have seen their market share plateau are more likely to see a sales contraction from a contraction in global life science R&D funding. Smaller companies that have plateaued will need to assess their technology and competencies in order to develop plans for value-added innovation in current markets and / or expansion into new markets in order to sustain growth, or else they will simply contract with the market. Larger companies with more cash will likely use M&A to achieve growth. Look for them to acquire early-stage companies with very promising high-impact technologies as well as established small-to-mid size companies that have high-quality product lines that are complimentary to their own.

Contrary to general consumer behavior, we are unlikely to see a move to lower-cost products within the research tools market. Less research funding generally means less labs or smaller labs, not across-the-board cuts in funding to all labs. In other words, the dollars spent per researcher will likely be roughly the same, but the overall number of researchers will decrease, spreading the contractile pressure fairly evenly across all laboratory products instead of driving researchers to lower-cost products. Practically speaking, this means that manufacturers and distributors who sell products that compete on price will feel the squeeze just as bad, if not worse since many of these “generic” or “commodity” type manufacturers do not have the technology and R&D capability to expand into new markets. As these companies have thin margins and already focus on efficiency, thereby not leaving much more room to squeeze out additional efficiency, they will feel the pain of any contraction quite acutely if they haven’t been saving cash.

On the other hand, small and mid-size companies that rely more heavily on technology adoption for growth will likely still have strong performance, as companies will still want to put their research dollars into tools that make research faster, better, and easier. These companies don’t rely so much on market growth since they are, in effect, building sub-markets and carving out new space. While their effective “ceiling” may be decreased, this will likely affect them only minimally since they are still in the growth phase and have not come close to reaching their maximum potential. One exception to this could be those companies that manufacture high-value capital equipment that is most often purchased to upgrade from an older instrument and / or technology. Look for sales in these products to decline somewhat as organizations look to decrease their R&D overhead by decreasing funding to core facilities and putting off large, non-critical purchases. With few exceptions, however, scientists will continue to adopt new technologies.

Another way a contraction will affect the life science research tools market is by decreasing marketing ROI. With an overall decrease in spending, there will be more marketing dollars chasing fewer customers, so marketing ROI will likely decrease by a few percentage points, especially since new players in the market will likely continue to enter given its size and comparative stability, and also to seize opportunities created by new technologies. While sales forces can shrink to demand, the channels through which marketers need to reach customers do not shrink, and this puts a fairly strict limit on how much a marketing budget can contract without negatively affecting sales.

A contracting global economy certainly will not effect the research products markets as much as it will the consumer markets, and this is very good news for those in the space and for the future of biomedical research a a whole. Nevertheless, any slowing or contraction presents risks. By understanding the situation and the likelihood of future possibilities and preparing for what may lie ahead, life science companies can plan for and mitigate those risks to help ensure continued success.

"Are you ready for a contraction or other market disruptions? With a troubled global economy, now is as good a time as any to plan for scenarios which may negatively impact your life science business. If you’re not sure of how you can protect yourself from downside risk, ask the experts at BioBM Consulting. Our business consultants can help you develop a strategy and plans-of-action that will cushion your company from macroeconomic hardships beyond your control."

ROI: Marketing meets Sales

Marketing and sales should be considered holistically in order to better measure, and improve, marketing ROI.There is often a disconnect in communication and reporting among the marketing and sales / business development teams in life science companies that makes the calculation of ROI less relevant, or just flat out less correct, than it should be. Each team or division generally focuses largely on what they can control and what their end-goals are. Usually for life sciences marketing teams the metric of choice is leads, and for sales teams the metrics of choice are sales and conversion rate. Considered separately, these metrics do not form a holistic approach that considers the interests of the company.

Primarily at odds when marketing and sales metrics are considered and reported separately is lead quality. As most marketers and practically all salespeople know, poorly designed or poorly targeted marketing communications can often generate large amounts of poor-quality leads. The large volume of leads will look good for marketing, but ultimately will be bad for sales, as few of the leads will convert. Because of this, an overarching reporting structure that considers both leads and sales should be implemented which tracks lead capture and development over the complete cycle. With such an overarching reporting structure, a better understanding of ROI can be gained.

Simply reporting a more holistic measure of ROI is not sufficient, however, as ultimately companies are not interested in reports, but in revenues. Certainly there are many problems that can be identified and subsequently fixed through improved reporting, however there need to be methods of direct contact, information flow, and feedback between marketing and sales teams.

Some products may not require sales teams, and for these products marketing will directly lead to sales without the intermediate step of lead generation. While in these situations it is easy for ROI to be measured, for many products and virtually all services it is not so simple. In these situations marketing and sales must collaborate, and data from one function must be related to data from the other. Only with more holistic approaches can a meaningful measure of ROI be grasped and meaningful strategies developed to increase it.

"Are you looking for new strategies and best practices to improve your life science company’s bottom line? Stop looking and start solving. When you work with BioBM, we work to ensure that your company gets solutions that are tailored specifically to your needs. Outside the box? Always. Out of the box? Never. Contact us today."