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.
As we discussed last week, there are only two fundamental reasons why someone won’t buy from you. Either you are talking to the wrong person, or the prospective customer doesn’t trust you. Unfortunately for commercial professionals, the reasons why someone could lack sufficient trust in you to purchase are myriad. Doubly unfortunately, those reasons often go undiscovered. Many organizations performing little analysis of why any given sale is won or lost, others do so superficially in ways that don’t provide meaningful information. Even more confusingly, many companies think they are performing win / loss analysis when really they aren’t! They are instead utilizing other tools and methods, often in an ad hoc and undocumented manner, which provide biased or misleading information!
Performing win / loss analysis correctly is not a trivial endeavor and requires a good deal of planning, but there are many benefits to doing so. These include:
- Clearer understanding of the customer buying journey
- Better understanding of the competition’s offerings (including pricing, positioning, etc.)
- Early identification of market trends
- Better understanding customer preferences
- Understanding how you and your competition are perceived
- A built-in “warning system” which informs you if your messaging is missing the mark
- Feedback on performance of the sales team and effectiveness of sales processes
- Market feedback to help guide product development
Planning for Win / Loss Analysis
Remember that win / loss analysis is a form of market research. It requires proper planning – and adherence to the plans – to ensure that the execution yields the answers you’re looking for.
The first question that needs to be answered is: who will implement the program? This should not be your sales organization! Ideally, the people running the program and performing the interviews will be far removed from the sales process. An external agency who is familiar with your market and experienced in performing win / loss analysis would be ideal, however other internal departments or functions can be used (usually a market research or CI person / team, if you have one, otherwise the applicable product manager or another relevant marketing person would be a good choice to head the effort).
Next, decide what specific objectives you hope to achieve from the win / loss analysis. There are basics that are central to the reasons a sale is won or lost and will therefore almost always be included, such as understanding the customers’ decision criteria and knowing how you measured up against the competition across a number of key factors, but you will also have the opportunity to obtain a plethora of other information. For the sake of customer participation and limiting the cost and / or effort, you will be limited to how much additional information you’ll be able to collect. You will therefore need to determine what non-core information is the most important. Are you interested in learning more about your competitors’ offerings? Do you want to know more specifics about the customers’ buying journeys? Are you interested in the finer details of how your brand is perceived compared to the competition? For long, consultative sales a customer may be more willing to engage with you in a lengthy interview. For short, low-value purchases where sales interaction was limited or non-existent, you probably won’t find customers willing to sit through a long interview. Know what can be realistically expected from your audience and plan accordingly.
The next question you need to answer is: what opportunities will be analyzed? Given the time and / or cost required to perform win / loss analysis, it is often only applied to major product lines or service areas and / or large accounts. (We do not recommend only analyzing large accounts unless your focus is improving win rate solely to large accounts; if you want to improve the win rate for all customer classes, you need to analyze them all.) You can define which opportunities will be analyzed more narrowly to cut down on the number of interviews and amount of analysis necessary, or you can be more broad to collect information about more opportunities and then perform post-hoc analyses of specific products, markets, etc. You also need to determine the frequency at which opportunities that meet the defined criteria will be analyzed. If the nature of your business is such that you have a low number of high-value opportunities, you may want to analyze them all. If you have a high number of low-value opportunities you may want to analyze only some of them. If you will be analyzing only some, you should select them either at random or at regular intervals (for example, at the conclusion of every fourth opportunity, chronologically) to prevent bias. Furthermore, ensure your criteria don’t exclude wins! It’s just as important to understand why you win as why you lose, and understanding your wins can be even more informative.
From the defined objectives, plan your questionnaire. There are a massive number of potential questions, and if you’ve clearly laid out your objectives the questions you need to ask should become somewhat obvious, but here are a few common ones to get you started:
- What caused you to initially consider a purchase of this type?
- Which other companies / products / solutions were being considered? Which one was ultimately chosen?
- What actions on the part of our team made notable positive or negative impressions?
- What selection criteria was used to make the ultimate decision?
- What interaction influenced you most during your decision-making process?
- How did our pricing compare to the competition?
- Why did / didn’t we win your business?
- Who was involved in the purchase decision?
- Were you comfortable with the product features / company’s capabilities? Which were most / least important?
- How do you perceive our company? How do you perceive our competitors?
- Would you be likely to recommend our solution to others?
A common issue with win / loss analysis questionnaires is the tendency to focus almost exclusively on the latter stages of the buying journey. Remember that the early stages of the buying journey are often more influential. Ensure you ask questions that will inform you how well you are setting the stage for a win, as many lost opportunities aren’t simply failures to close.
If you end up wanting to ask more questions than they reasonably can, remember that not every interview needs to ask the same questions. If you feel that a question has been sufficiently answered, change it out and ask another which would provide more new knowledge. You can also have multiple sets of questions and rotate through them to collect input, albeit less of it, on a larger number of some ancillary questions of lesser importance. (We strongly recommend always asking a set of “core” questions which directly address the most influential reasons for winning or losing.) If you ultimately want to ask more questions than would be feasible in an interview, you can create an accompanying questionnaire to collect additional data. This can be particularly useful if you wish to collect sizeable amounts of quantitative data which can be easily collected via an online survey or similar tool. Just remember that everything you ask a customer to do effectively has a conversion rate. Asking your customer to do two things will invariably lead to an increased number of incomplete data sets from respondents who either did not take / complete the interview but completed the questionnaire or vice versa.
Preparing for the Interview
Determine who will conduct the interview. Similarly to choosing the person or team to run the program, it’s best if the interviewer is not on the sales team. The interviewer should never be someone who was involved in the sales process for that particular customer. That consideration aside, the interviewer should be someone who is familiar with the product or service being sold, familiar with the market, understands the sales process without being too intimate with the sales team, and will make the respondent feel comfortable with the interview process.
Interviews should be scheduled with the customer or prospect very soon after the opportunity has ended. A good rule of thumb is that if more than a month has passed since the opportunity was closed or lost, don’t conduct an interview. Details of their decision journey and interactions with various companies need to be fresh on their minds in order to obtain accurate information, and collecting inaccurate information is often worse than collecting no information at all. When scheduling the interview, let them know exactly what to expect and what topics you are going to discuss. If there were multiple people involved in the prospect’s decision, they should be interviewed separately as they may have differing opinions and these differences can be stark at times. If you interview them collectively, you run the risk of those differing opinions not being expressed or falling victim to groupthink.
Before the interview, the interviewer should sit down with the sales team / person who was handling the opportunity and document some facts and perspective regarding the opportunity. How did the opportunity arise? Was there any previous relationship with the prospect? What tactics and sales tools were they using and why? Were there any noteworthy challenges during the process? What was the result and was it anticipated?
Performing the Interview
Interviews are generally performed by phone, although analogous communication tools such as teleconference can be used. In-person interviews can be performed as well so long as the customer is local and the interview can be performed without becoming cost-prohibitive. Being able to see the interviewee an be helpful, as gestures and body language can convey feelings which can in turn be used to help guide the conversation. (The interviewer’s impressions obtained from body language should not be documented as it could introduce a large degree of subjectivity. Additionally, when performing win / loss analysis across cultural borders, body language could be misread due to cultural differences.)
Any expectations of confidentiality should be discussed up front. As some purchasing processes involve sensitive information, ensure the interviewee(s) feel comfortable using any information necessary to fully explain themselves while knowing that any confidential information will not be recorded or shared.
The interview should have a “script” to ensure the interviewer asks all the questions, although some of which will likely vary slightly interview-to-interview (in phrasing or approach, not in intent) based on the nature of the opportunity and how the interview progresses. However, the questions on the script should be taken to be a minimum of the questions that need to be answered. A good interviewer will probe the interviewee to uncover the underlying reasons behind their answers. Simply surveying the interviewee by asking a set list of questions in sequence is a waste of a live interview and a good way to end up with incomplete information that is difficult to understand and / or leaves a lot of opportunity for guesswork. The ability to be meaningfully spontaneous is dependent on the interviewer’s knowledge of the market, the product bring sold, and the details of the opportunity and sales process for that specific prospect.
Post-Interview Analysis and Assimilation of Knowledge
Soon after each interview, send the customer a message to thank them. As with any customer interaction, a win / loss analysis is a branded experience and you want to ensure the customer experience is a good one in order to earn future business and cultivate brand advocates.
There is no single, correct way to analyze the information from a win / loss analysis because the information, and the kind of information collected, will vary based on the questions you are trying to answer and potentially other factors as well (as discussed earlier). However, data analysis provides ample opportunity to derail your win / loss analysis. It’s likely that most of your data is qualitative. If your organization has a tendency to be political, various groups may try to influence how the data is analyzed or presented in order to make themselves look better or further their own ends. It’s the job of the person managing the program to ensure this does not happen. Any quantitative data should be handled using proper statistics, and qualitative data should be analyzed in a way that is logical, defensible, and allows you to extract the necessary insight. Applying semi-quantitative methods to the analysis of qualitative data may help, but you shouldn’t limit yourself to them. Whatever methods you use to analyze the data, you need to ensure that they are consistent!
Once the data is distilled into knowledge, you need to ensure that it is utilized! When there is enough analyzed information to answer at least some of the questions that you defined in your objectives, a report should be drawn up and a meeting called with people from all departments who would stand to benefit from the resulting knowledge. (Depending on your company policies and culture, the reports and analysis may also be made available to anyone in the company who cares to learn from it, or restricted on a need-to-know basis.) At this meeting, the data and analysis are discussed, lessons learned are shared, and ideas can be generated for ways to improve – these ideas are the foundation for change. The results should inform your sales processes, market segmentation, product development, messaging, marketing communications, sales collateral, and other areas.
If you’ve obtained answers to some secondary objectives, you can remove the associated questions from the interview script. These may be replaced with questions to fulfill other knowledge objectives. Remember, however, that the primary purpose of win / loss analysis is to understand why you win or lose business! The core questions facilitating the answer to that question should, under most circumstances, not be removed or replaced. If you find yourself desiring the answer to other questions more than the answer to why you are winning / losing business, then you should use a different tool or approach which is more suited for the information you seek to gain. You may, however, rotate through other product lines or service categories in order to obtain information specific to other areas.
Closing Remarks
A recent Gartner study (“Tech Go-to-Market: Three Ways Marketers Can Use Data From Win/Loss Analysis to Increase Win Rates and Revenue“) found that less than one third of organizations conduct win / loss analysis properly. The same study found that win / loss analysis can increase win rates by as much as 50%! That should be no surprise. Understanding is the foundation upon which improvement must be built. Sure, win / loss analyses require a good deal of rigor and effort, but that 50% should be well worth it.
Marketers and salespeople wrack their brains trying to figure out how to increase conversion – be it to turn eyeballs into leads or to convert opportunities into sales. Fundamentally, there are only two reasons that someone won’t buy from you. Understanding them is crucial to increasing marketing and sales effectiveness.
Reason 1: You’re Talking to the Wrong Person
Half the battle is ensuring that you’re talking to the correct person; in other words, that your targeting is correct.
Companies waste huge amounts of marketing and sales resources trying to sell to the wrong person. The “wrong” person is generally someone who does not have a need for your product / service or someone who does not have sufficient resources, authority, or influence to purchase. From a marketing perspective, this is most often due to an overly ambitious definition of the target market. Companies tend to do so out of optimism: if you are selling to researchers within a specific field, for example, you may be tempted to define them all as your target market because you want them all to be within your target market. Such is rarely the case, however, and this leads to targeting a lot of people who – no matter how good your message and content is – simply will never buy from you.
It’s really easy to think a goose looks like a duck. Because your pool of potential customers can seem very similar to other groups which are not potential customers, it’s essential that you define your target audience specifically. This doesn’t mean that your audience has to be narrow or small, but you need to clearly draw the line between who is and who isn’t a potential customer. (This should be rooted in your positioning statement, but can – and often should – be expanded beyond that.)
It’s common for the target market to be underdefined because a company simply does not know what kinds of scientists would or wouldn’t be potential customers. That’s entirely understandable – it sometimes isn’t until a product / service hits the market that people can truly judge its value. However, this is not an excuse for poor targeting. In this case, the target market needs to be established either by market research or by a trial-and-error approach which progressively analyzes the market and whittles the target market down to include only those customer profiles who would purchase.
Reason 2: They Don’t Trust You
It doesn’t matter how good your targeting is if your audience doesn’t believe what you are telling them, and what you’re telling them boils down to one thing: the value of what I am selling you will meet or exceed the value of the money that it costs. If you are talking to a genuine member of your target audience, that is the only thing you need to convince them of to make a sale. If they believe that, they will buy 100% of the time. If not, they will decline to buy – 100% of the time.
Trust is a matter of personal belief – it is something that is part rational and part emotional. As such, there are two basic reasons that a prospective customer does not trust you:
- The customer requires more or different information than what you have provided to them. This is the rational reason. You have failed to successfully make your case.
- The customer does not have faith in the person or brand which is speaking to them. This is the emotional reason. The customer does not trust you to accurately present information to them and therefore does not believe what you say – even if it is simply factual.
Either or both of the above may be true in any given instance.
There are many reasons why lack of trust exists – everything from simple lack of message validation to a poor past experience with the person or brand – but the end result is always the same: the prospective customer selects a strategic alternative. Because there are so many reasons that a lack of trust may exist, it can be difficult to analyze precisely what is causing the distrust. It is therefore important to understand why your prospective customers go elsewhere. (The tool to do this is win-loss analysis, which we’ll discuss in an upcoming blog post.)
If you’re talking to the right person and you can get them to trust you, you will earn a sale. Conversely, in every lost sale one of these two things went wrong. Identify those areas, rectify them, and you’ll do wonders for your conversion.
“But our product performs better than the competitors! And it performs better for almost all applications!”
This is the cry of one too many life science companies (especially smaller companies) who thought that an incremental improvement – and a bit of advertising money – would be all that’s required to outcompete their competitors. This company probably has a few loyal customers, but they’re just not seeing the market penetration that they thought they should. After all, with a superior product you should be able to capture a leading share of the market so long as the market is aware of it, right? In theory, yes. The problem is that it’s not so simple, and the real world doesn’t work like it should in theory.
Every one of us demonstrates this on a regular basis. Think about the last time you went to the grocery store. Are you absolutely certain that each brand which you’re buying is the best one? Maybe for a few kinds of items, but almost certainly not for all. The brands all claim to be the best, but not many people have sampled every brand of food which they eat, or compared them all for nutritional value and other important product attributes. Chances are you don’t even look at all the brands – you just get what you’re used to getting for many things. While it’s true that decisions for scientific purchases are more deliberate than picking up a gallon of milk, there’s still an emotional component to any purchase. Whether you know it or not, your customers are ascribing value to each brand they come in contact with (often subconsciously).
For the company in the scenario outlined at the beginning of this article, the unrecognized problem is that unrecognized, confounding brand effects may be holding them back. In other words, the company is getting “out-branded”. Even though their product is an improvement to competitors or alternatives, and from a strictly rational decision standpoint customers should be driven to their product, the benefits are not enough to overcome emotionally-based perceptions. This problem is especially prevalent for small companies and for products early in their life cycle when there may not be independent validation of the products’ value.
Causes of Brand Problems & Potential Solutions
As we’ve discussed previously, brand value is effectively the sum of all the experiences that stakeholders have had with your brand. For any given customer, it’s the sum of all of that person’s experiences. (Note that these experiences can be second hand as well; a discussion about a brand with a colleague is still a brand experience.) This value manifests itself as an emotional attachment and resulting brand preference, which may be conscious or subconscious. If the sum of the customers’ experiences with the competitors’ brands have been more positive than their experiences with your brand, they will show a preference (perhaps even an irrational preference!) for the other brand which will hurt your demand. If you’re a small company or working with a new brand, it may be that they simply don’t have enough experience with your brand. For larger companies, it is more likely to be that the customer experiences which you have provided have been poor. Each of these issues call for a slightly different approach…
For small companies / new brands, you need to give your market a reason to engage with you in the first place, and unless your product / service is truly revolutionary, the product alone won’t be a compelling enough reason due to the aforementioned brand effects. This is not a conundrum, however. Consider ways to deliver value that is not intrinsically linked to your product but still relevant to it; in other words, ways in which you can provide value to your target market that do not require buying anything from your company or using your product. Creating valuable content has become the default method of doing so, however many markets are suffering from content overload; there is simply too much content being produced considering the audience’s limited time. If that is the case, consider developing resources rather than content.
For more established companies with a larger existing reach and customer base, work on improving existing experiences. Note that “experiences” could mean anything from support to digital user experience to the actual quality of your products. Diagnosing poor customer experience within a large enterprise is well beyond the scope of this discussion, but improving customer experiences is critical for any life science company which is underperforming. While fixing the root cause of your poor experiences is critical, creating customer resources can be a helpful way of getting customers to re-engage with your company and create positive brand value.
You don’t have to do something wrong for your market to be biased against you and hurt the demand for your products. Brand value is not an absolute. It is an relative, emotional thing, and the most important aspect for your company’s performance is how well your brand value stacks up against your competitors’. By focusing on customer experience, you’ll help to grow that brand value over time and shift market preferences in your direction. Along with those preferences will come more sales.
Captivating your audience should be priority #1 for high-level marketing communications. Before you get into the details of whatever it is you want to say, you need to make sure that you have the audience’s attention, will maintain it for as long as possible, and that they’re in a mindframe that’s most conducive to a positive outcome. Unfortunately, very few life science brands actually do so.
The most common statement type of introductory statement made is a “what” statement. Companies explain what they, their brands, or their product lines do, then get into how they do these things. That makes for a very drab and uncompelling introductory statement. Instead of initially focusing on what you do, focus on why you’re doing it. (You can find some examples of “what” statements and “why” statements pertaining to brand messaging in a previous post here.) It’s far easier for people to psychologically buy into a reason than it is for them to buy into a thing.
Frame your reason – your “why” – as a statement which the audience can agree with. You want them to think – consciously or otherwise – “I agree with this.” That will start the audience off on a positive note which will make them more receptive to subsequent messages. Presenting a statement which indicates that your goals or values are aligned with those of the audience can be a good method of doing so, but it is certainly not the only method.
For that additional kick which will really make your message powerful, frame your message in a way that can draw sincere emotion from the audience. This can be a difficult task and one that requires considerable creative talent. It’s more of an art than a science, but understanding the underlying motivations of your target audience is an important starting point. You need to frame the message around something that they care about.
Off the top of my head, I can recall one good example within the life sciences – certainly in no small part because it was in the Boston metro stations for a while, but also because it was a genuinely powerful message. It was an Ion Torrent advertisement and it read “Everyone Deserves a Chance to Break Through.” This meets the three criteria explained above. It is a “why” statement; it tells you that Ion Torrent is doing what they’re doing to provide people with the opportunity to make scientific breakthroughs. It prompts agreement; If you agree that everyone does deserve that chance (a fair assumption on Ion’s part) then you can get behind the idea. Lastly, it is emotionally powerful. It might invoke slightly different things for different people, but the underlying idea is one of scientific success – the empowerment to make groundbreaking scientific discoveries. Unfortunately, I don’t think Ion used this much beyond their initial ad campaign. Their current slogan – “Sequencing for All” – doesn’t have the same power to captivate (largely because it lacks that critical third factor – emotion).
By making a compelling “why” statement, making it something the audience can agree with, and making it emotionally powerful, you’ll be able to heighten your audience’s receptiveness to your forthcoming messages, increase their effective attention span, and begin to create brand value right from step one. Use these statements as centerpieces of your high-level marketing communications and watch your marketing effectiveness improve.
When considering where to advertise, marketers frequently – and rightfully – consider how targeted / relevant the audience is. However, marketers often fail to consider the commercial intent (or “intent to purchase“) of the target audience within that channel. Because of this, you end up with a lot of advertising campaigns that are ineffective, deliver a poor or negative ROI, and are often not tied to results.
A subjective, qualitative measure of commercial intent (which is usually all that is required) can be easily determined by considering the likelihood that a viewer will be considering a purchase at the time of viewing the ad. For instance, someone who has just searched for a product is far more likely to intend to make a purchase than is the average person reading an article on a news website, even if it is a highly relevant, sector-specific one.
We see this mis-targeting most frequently in demand generation campaigns, particularly “awareness” campaigns. Awareness campaigns seek to target as much of the target market as possible in order to, for all effective purposes, tell them your product or service exists. These campaigns are highly ineffective because they neglect the commercial intent of the target audience. (Side note: They also tend to be uncompelling, unoriginal, and unmemorable.) The implied message is: “We have this product / service. Please go buy it.” However, the channels used for awareness campaigns, which are typically print and / or digital display ads through relevant publishers, have a low commercial intent. People who are not in the market for your product / service will forget about your advertisement long before any future recognition of needs develops.
These described channels, which are highly targeted but have low commercial intent, are far better suited for brand-building campaigns. For audiences who may have a need in the future, you want to make a positive, lasting impression such that your brand will be viewed favorably when a need does arise for the customer, therefore making the customer more receptive to your messages and more likely to favor your solutions. (Focusing on creating experiences is one such way to do this.) In other words, with channels having low commercial intent, you need to play the “long game.”
Conversely, for channels with high commercial intent, you want to play the short game. If a customers are imminently considering a purchase, they are actively filtering information for relevance in search of information to guide them through their buying journey. Campaigns designed to build brand value are likely to be filtered out and, even if they are not, may not have time to make enough of a collective impression on the customers to influence their purchasing decisions (the latter point is more true for products with a short sales cycle than those with long ones). For those customers, you want to present a message about their need and / or your solution in order to demonstrate relevance to their buying journey.
The next time you’re developing an advertising campaign, in addition to the relevance of the audience consider commercial intent. Remember the following:
⢠Channels where the audience has a high intent to purchase are good for demand-generation campaigns.
⢠Channels where the audience has a low intent to purchase are good for brand-building campaigns.
You’ll end up with more effective campaigns.
A lot of focus goes into optimizing marketing activities. That focus is important and very helpful in numerous ways, but all the A/B testing and conversion optimization in the world gets flushed down the drain as soon as a customer actually contacts your company. Not nearly as much effort goes into improving customer contacts. Perhaps this is because person-to-person interaction inherently has some degree of variability, or because sales and support staff are expected to be highly competent at customer interactions, or because people don’t realize that customer interactions can be optimized. Regardless of the reason, life science companies need to realize that customer communications can be improved, and there are a number of definite (and often relatively easy) ways to do so. We discuss some below.
Improve Response Times
There have been many studies which have shown that lead qualification rates drop off massively over time. Even a matter of seconds has been shown to have a significant impact in qualification rates. A study of lead response behavior found that 36% of inquiries were not responded to at all within a two-week time frame. Yet response times are something which companies have direct control over.
Technology can be used to assist to some extent. Automated lead distribution – and in particular automated lead distribution to multiple agents simultaneously – has been shown to have the greatest impacts on conversion rates, with rates over twice as high as when there is no automation to assist in lead distribution.
If it really comes down to it, hire more people. Considering that leads which are contacted within an hour are 7 times more likely to be qualified as those which are contacted even one hour later, the cost / benefit ratio seems to be well worth it. Seven times more qualified leads not only means about 7 times as much business (or at least something in that ballpark) but it also means that your sales staff’s time is seven times more efficient when contacting leads.
It’s not only about sales, however. Support inquiries are equally as important, as they contribute significantly to overall customer experience which in turn affects customer loyalty. This should not come as a surprise.
Arm Your Customer-Facing Employees with Information
Too often, the quality of a customer interaction is most directly related to the experience of the person the customer is interacting with. Newer employees are often less knowledgeable and therefore are often not as well suited to assist the customer. Training can only help so much.
To combat this problem, ensure that you maintain a well-curated body of knowledge for your sales and support teams. Having ready access to information, such as past issues and their solutions, will your customer-facing employees more efficient, reduce the time it takes the customer to get a good answer, and improve the customers’ experiences when interacting with your company.
Provide Consistent Experiences
Although not as important in terms of short-term demand generation, the consistency of customer experiences plays strongly on brand perception. Inconsistent experiences, even if they are largely positive, can have a disruptive effect which conflict with each other rather than building on each other. To some extent, customer interactions should reflect a degree of branding.
I’m not recommending that life science companies take it to this much of an extreme, but a great example of branded customer interactions comes from Mailchimp, which has voice & tone guidelines for customer interactions. While I find the Mailchimp example to be a bit much – certainly far more defined than what many life science companies would need – it’s both reasonable and practical to set general voice and tone guidelines while also ensuring consistency in finer details such as email fonts.
When thinking about optimizing your marketing, think beyond the standard channels and consider improvements in actual customer interactions. While these activities may traditionally be the sole responsibility of the sales and support business areas, they may not often take as structured an approach to improvement as marketing commonly does, especially when considering aspects such as customer experience and branding. By making improvements to actual customer interactions, customer satisfaction, customer retention, and opportunity conversion will all increase while delivering positive brand value as well.
A lot of companies focus heavily on short-term demand-generation efforts. For small start-ups without venture funding, that is often out of necessity. However, many companies do so even when it is not necessary, and in these cases an overly short-term focus carries an unintentional long-term cost.
As we’ve discussed previously, a buying journey can be thought of as a quest to minimize risk. Scientists want to be certain that your product or service will fill their need. The more certain they are, the more likely they are to purchase. One factor which weighs heavily in the perception of risk is trust. If you have not established trust with your scientist-customer, the customer will be less likely to believe that your product / service will fill the need or, at minimum, will require more convincing. Conversely, if there is an alternative which is provided by a trustworthy source or brand, then this option will be given preference.
Short-term demand generation campaigns largely ignore this reality. This is especially damaging for lesser known brands, or brands with which the customer may have limited interaction. (Note that it is possible to be “well known” but not “well experienced” – in other words, for customers to know who you are without ever having any meaningful brand experiences.)
As an illustrative example, pick your favorite home appliance brand. Imagine there is a new appliance which you don’t currently have but which your favorite brand sells. Given that, how responsive would you be to a brand which you’ve never heard of which also makes that appliance? Unless they have a way of getting in front of you early and repeatedly in your buying journey and present a compelling message, chances are they wouldn’t have much of a chance against your favorite brand – or even just a popular one which you’ve heard of repeatedly.
This is why audience-building is so important. It creates a group of potential customers who you can repeatedly expose to your brand, building familiarity and trust with them over time. This trust then translates into a greater likelihood of your products and services being chosen when it becomes time to make a purchasing decision. It engages and influences potential customers before they have a recognized need, building advantages which translate into value once a relevant need is recognized.
Audiences can be built on almost any platform and through almost any means. An opt-in email list can be an audience. Social media followers or groups can be an audience. However, in order to create value for your company, you need to create value for your audience, and that comes via product-unrelated value (usually content).
Building an audience takes time, and so does creating familiarity and trust within that audience. By starting early, and putting in the effort to create value for your audience, you’ll be building long-term value for your company which will continue to pay you back over time.