Sales and marketing | SmallBiz.com - What your small business needs to incorporate, form an LLC or corporation! https://smallbiz.com INCORPORATE your small business, form a corporation, LLC or S Corp. The SmallBiz network can help with all your small business needs! Mon, 10 Jul 2023 12:36:21 +0000 en-US hourly 1 https://wordpress.org/?v=6.4.2 https://smallbiz.com/wp-content/uploads/2021/05/cropped-biz_icon-32x32.png Sales and marketing | SmallBiz.com - What your small business needs to incorporate, form an LLC or corporation! https://smallbiz.com 32 32 Let the Urgency of Your Customers’ Needs Guide Your Sales Strategy https://smallbiz.com/let-the-urgency-of-your-customers-needs-guide-your-sales-strategy/ Thu, 06 Jul 2023 12:25:24 +0000 https://smallbiz.com/?p=112807

When companies are creating profiles of possible target customers, there is a dimension they often overlook: the urgency of the need for the offering. This article provides a process for segmenting prospective customers in this fashion and creating a sales strategy.

Many business leaders believe that they fully understand their best target customers. They’ve developed clear profiles (a.k.a. personas) that are richly detailed with well-researched parameters, such as standard characteristics (e.g., age, education level, years at the company, role) or firmographic (e.g., annual revenues, number of employees, industry, geography, years in business). While such characteristics are important, they ignore another crucial characteristic: urgency of need.

A company that offers a software-as-a-service billing solution for small and mid-sized private dental practices may focus on classic demographics, such as the size of the practice (number of employees or number of dentists), the age of the practice (since older practices may more likely have outdated systems), or the amount of insurance billing the practice does each year.

These variables are useful in helping to produce a list of prospects, but they don’t determine which of these dental practices the sales team should call on first. If, however, the company added data that reflects which of these practices’ needs is most urgent — say, those that have advertised for billing and claims administration help more than twice in the past year (suggesting that they are struggling to keep up with billing) — salespeople would be able to prioritize their attention on these prospects.

The Four Segments

This needs-based approach entails segmenting potential customers into four segments:

  1. Urgent. The customer recognizes that it has an immediate need. (We just had another billing person quit!)
  2. Non-urgent. The customer recognizes the need, but it isn’t a high priority at this time. (We realize that our billing needs are changing and our current system will need to be revamped. We plan to start looking into this in the next year.)
  3. Currently met. The customer believes it already has an adequate solution to address the need at this time but recognizes it may not be a long-term solution. (We have an older billing system in place that still does the trick for now.)
  4. None. The customer simply has no need nor expects such need anytime soon. (Our small practice has a limited number of patients who pay out of pocket. Since all payments are made at the time of service, we simply don’t need a complex new billing system.)

This focus on the urgency of target customers’ needs may sound like common sense, but we have found in our work with B2B companies — from mid-sized firms to Fortune 50 giants in an array of industries such as financial services, enterprise information technology, utilities, industrial solutions, and health care technology — that they often fail to consider this dimension. Here is a process a firm can employ to apply this approach.

Identify new customers.

To identify prospects outside of your existing customer base, you can use available information. One is a source we mentioned: help-wanted ads that reflect a particular need.

But there are plenty of others. For instance, if a company sells inventory management solutions, a source of valuable data might be manufacturing industry merger-and-acquisition data, which could reveal companies with an urgent need to change or merge systems such as those for managing inventories. If a company sells quality-management solutions, a source of valuable data could be companies that are getting hammered for poor quality on social media.

Gather the necessary information.

Identifying your customers’ true urgency of needs requires looking beyond your typical demographic and firmographic profiling. This starts with an outreach initiative to talk to customers and prospects. The purpose is to ask questions to identify new target customer parameters that may be impacting the customer’s urgency of needs:

  • Frustrations. How urgent is the need to resolve these frustrations? Which frustration would best accelerate success if resolved?
  • Goals. Are your goals clear, consistent, reasonable, and measurable? Have your goals shifted recently?
  • Roadblocks. What keeps you from reaching your goals? (i.e., What keeps you up at night?) What is the magnitude of the impact of these roadblocks?
  • Environmental and situational factors. Are you experiencing any industry consolidation, organizational or executive management changes or instability, competitive changes, regulatory changes, and so on? What is the magnitude of the impact of these factors?
  • Technology factors. Are there new or changing technologies that will impact your ability to achieve your goals? Are you at risk due to technology end-of-life issues or incompatibility?

Assess your firm’s ability to serve lower-level segments.

Once a company has performed its needs-based segmentation effort, it should seek to answer the following questions about each of the four levels. The findings will dictate the sales and marketing strategy, level of investment and resource allocations.

Level 1. Urgent need

How quickly can we meet their need? How can we best serve them? Is the market opportunity large enough to focus only on these prospective customers? Given the customer’s urgency, how do we price our products to optimize margins without damaging relationships by appearing exploitive?

Level 2. Non-urgent need

Can we convince them that their need is more urgent than they currently believe? How do we effectively stay in touch with them so we remain top of mind when they perceive that their need has become urgent?

Level 3. Need currently met

Should we walk away from these prospects? If so, when and how do we touch base with them to see if their needs have changed? Or is there an opportunity to continue to work to convince them that their need is either more significant than they realize or could be much better addressed? If so, what’s the best approach to get them to reconsider their current situation and recognize their true need and its urgency?

Level 4. No need

Should we completely remove these contacts as any potential prospect? Is there some other need we may be able to address for them — perhaps with another product? Should we be in contact on a planned basis to see if their situation has changed? How do we best do that?

The ideal customers are those who clearly understand and recognize they have an urgent need for your offering. However, if that opportunity is not enough to meet the company’s sales volume target, it may be necessary to extend efforts beyond Level 1. Gaining the attention of these additional target customers, challenging their perceptions of their needs, and educating them on how your offering could benefit them will require resources. Consequently, a critical assessment is required to determine whether the opportunity outweighs the investment necessary to address customers in these other levels.

Test your new targets.

Before committing to a complete revamp of how your salespeople are prioritizing opportunities, select one or two experienced salespeople to help you test your new target customer parameters. Identify a few prospects that align to your revamped target profiles, and see how the selected salespeople are able to penetrate them.

Revamp your sales messaging and training.

Include prospective customers’ level of need in your sales messaging — the language that the sales team uses in its interactions with customers. Revamp your sales tools (materials such as brochures, technical papers, and customer testimonials used in the selling process) to include the urgency of need. And teach salespeople how to read and react to the prospective customer’s level of need and adapt their language appropriately.

By adding urgency of need to target customers’ profiles, companies can do more than differentiate their offerings more effectively. They can also identify new growth opportunities and successfully pivot away from slowing or tightening markets. They can accelerate the sales of new products. Last but not least, they can turn underachieving sales teams into strong performers.

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Using AI to Adjust Your Marketing and Sales in a Volatile World https://smallbiz.com/using-ai-to-adjust-your-marketing-and-sales-in-a-volatile-world/ Wed, 12 Apr 2023 12:05:57 +0000 https://smallbiz.com/?p=100075

Much has been written over the years about how firms lack visibility into the returns from their marketing investments. In an analog world, the perennial reason offered for this problem was difficulty establishing a causal link between investments made in marketing activities and the market (or customer) response to those actions.

In the digital world, a common way to build causal links is by running a large number of relatively cheap experiments through which firms can connect marketing and sales actions to a customer response. Firms can track customer responses throughout the journey from search to click to purchase, and even to consumption. The result has been an exponential increase in the amount of data on that journey to which firms have access.

We wanted to know why some firms are much better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions. Especially during the initial months of the pandemic in 2020, and more recently in 2022, when recessionary forces began to affect the nature of customer demand, some firms were able to analyze the burgeoning customer journey data and pivot, adapting their marketing and sales efforts much faster than their competitors. We have observed a common thread across these fast-acting firms is their use of AI models to predict outcomes at various stages of the customer journey — for example, using AI to analyze historical consumer behavior data and predict the likelihood of a customer responding favorably to a marketing campaign.

What else do we see happening in these firms? First, while their competitors respond reactively to actions taken by customers, these firms are taking a proactive approach to managing their customer relationships. They’re using AI to predict which customers are likely to churn and what corrective action can be taken to prevent the customer from defecting, while their competitors react after the customers have already left. And when their predictions go off track because of external changes or market conditions, they use that feedback to quickly reorient and redirect their marketing and sales efforts. Using AI models to predict customer response translated, in effect, to designing and running a large number of experiments that helped these firms respond to market changes faster than firms not using those tools.

Prediction Models Are Changing how Strategy Works

Consider the example of a global trading firm engaged in the sourcing and distribution of commodity bulk chemicals. In early 2019 the firm began using AI-based prediction models to understand the flow of opportunities through the various stages of clients’ RFP-based buying processes. The firm learned that quality-related factors were primary determinants of getting short-listed by clients. They began using this information to selectively pursue client opportunities.

By May 2020, however, the company’s AI-model predictions were proving to be wrong. Further analysis revealed that delivery-related terms were now better predictors of being short-listed by clients, and the firm quickly and successfully switched its engagement model globally. Firm leaders who would previously have received information about supply-chain issues through macroeconomic data or a revenue shortfall at the end of a couple of quarters were able, using AI to predict intermediate outcomes in clients’ buying processes, to rapidly switch the marketing and sales approach to better align with shifts in the marketplace.

We found another example at a major real estate property developer in the UK. A January 2020 analysis of optimal incentives to tenants suggested that, given a low likelihood of corporate space remaining unrented for more than 30 days, it should be conservative in offering incentives to existing corporate tenants. The analysis further showed flexible workspaces to be less profitable than renting out corporate office space given competitive cost pressures. By late February 2020, in the very early stages of the pandemic, the developer’s updated AI model suggested increasing the flex workspace footprint by 30% and offering generous incentives to lock in existing tenants. These recommendations led the developer to begin changing its sales strategy by the middle of March, much faster than competitors still relying on the first quarter (ending March) output of their marketing and sales models. A month’s or even a week’s lead can make a significant difference in a competitive market.

In the preceding examples, each firm had to specify goals when setting up its AI models to predict outcomes. A goal might be to achieve a specific customer-acquisition level when given a specific marketing budget. Well-designed AI models are about enhancing business outcomes — not just accurate predictions. They balance the benefit of a correct prediction against the cost of an incorrect one and work within organizational constraints like marketing budgets. Being trained using historical data, AI models provide firms with a better, more sophisticated and nimble understanding of the links between their actions and the market or customer response.

Understanding the Role of Feedback Loops

Marketing and sales have traditionally lacked an approach to the classic “SENSE –>RESPONSE” feedback loop commonly exploited in the engineering world. Feedback loops enable systems to change input mix and system characteristics to enhance output. The lagged effect of marketing actions and the fact that customer response is, more often than not, the result of the cumulative effect of multiple actions taken by the firm make it hard to establish causality and establish a clear feedback loop. It is this lack of a feedback loop that limits firms’ ability to assess the ROI of their marketing and sales efforts. Absence of feedback loops further results in a disconnect between episodic strategy formulation (the realm of senior management) and the constant execution in the field that is typically managed at the frontline.

AI prediction models can pick up trends at a granular level, such as at the level of individual transactions. The field information provided by these models can be used to update and tweak marketing and sales strategy faster and more frequently, enabling firms to close the gap between strategy and execution.

Here’s an example: A 200-year-old North American manufacturing firm had significantly increased its marketing lead-generation activities but had yet to achieve a significant increase in sales. The firm was convinced it had a marketing problem. It used an AI model to analyze the data and found that the increased marketing spending had indeed generated high-quality leads, but not higher overall sales. Subsequent analyses revealed that the manufacturer’s limited sales resources were part of the problem. The sales team had cherry picked the best leads from the incremental marketing spend, but ignored a corresponding number of leads it would otherwise have followed up on.

The company now understood it had a sales-capacity issue, not a marketing problem. The analysis enabled the manufacturer to appropriately balance sales and marketing expenses to generate stronger revenue. Without the benefit of the data analysis, the siloed nature of the marketing and sales organizations would have made it difficult and time-consuming to do such a cross-functional study or reallocate resources quickly.

This disconnect is further illustrated by the example of a consumer-electronics company that ceased doing business in Russia consequent to its invasion of Ukraine. The company knew what its revenue shortfall would be due to lost sales in Russia and associated markets, but faced the difficult question of how to optimally reallocate the marketing spend to other markets to try to offset the lost sales. An AI-optimized scenario planning exercise suggested the best way to reallocate the available marketing budget and quantified the expected net drop in sales and increase in marketing budget necessary to offset the loss by increasing sales in other regions. The analysis also revealed that it would be too expensive to increase marketing to fully offset the losses from Russia. But it still enabled the firm to optimally reduce sales losses by reallocating existing marketing promotion budgets to other regions.

Flipping the Segmentation Process

As a result of the feedback-loop focus, we see the use of AI models also changing the practice of segmentation. In theory, segmentation is defined as the process of identifying a group of customers who have a common set of needs (to develop a unique product/solution to serve that segment), that share common identifiable characteristics (to be able identify customers in the target segment), and that are likely to react in a similar manner to actions taken by the firm (to design the engagement strategy and exploit economies of scale). In practice, most firms in the analog world focus on the first two parts of the definition, i.e., common set of needs and common characteristics.  This approach therefore takes the form of an outside-in approach: “Let’s figure out what this group truly needs and then design the right product to serve these needs better than anyone else and, as a result, be able to extract a higher price.”

In AI-based prediction models, the practice of segmentation is focused on the third part of the definition of segmentation, i.e., the likelihood that all customers in a segment are likely to react similarly to marketing and sales actions taken by the firm.  For example, an AI-based prediction model might ask which customers are better served by the sales force in the field or the tele-sales team, or which customers are most likely to respond positively to a specific price promotion campaign. Firms can use an AI model’s predictions to align the appropriate marketing and sales resources to serve each demand opportunity.

Considering the unmatched targeting abilities of predictive models, it is easier to take organizational (or expected near-term organizational) capabilities as a given and find the customers most likely to match those capabilities. This is especially true in a rapidly changing environment where market conditions and customer behavior can change far faster than organizational capabilities can evolve.

Where Are We Headed Next with AI-based Prediction Models?

The availability of customer specific data and ability of AI and machine learning to provide better predictions is poised to force companies to create integrated customer-facing organizations that fuse traditional marketing and sales functions. Ideally, this will, help organizations deliver a superior customer experience that results in enhanced profitability.

Here’s one more example: An international manufacturer wanting to improve its marketing function using AI models initially focused on prioritizing sales opportunities. Analysis of its data, however, found that, dollar-for-dollar, efforts by the field sales force focused on retaining existing channel partners had a greater impact on revenue than a similar amount spent solely on marketing. In fact, optimizing spend across channel partner retention, marketing, and sales had a greater impact on overall business KPI for a given level of overall spend than would have been achieved had the focus remained exclusively on sales-opportunity prioritization. Truly automated approaches to AI can “let the data speak” to help identify entirely new avenues across traditional marketing and sales activities with the potential to impact business KPIs and optimally balance resourcing between those activities.

Digitally native firms may make quick progress on integration of AI models, but we are concerned that legacy firms that grew up in the analog world are going to run into two major stumbling blocks and fall behind their competitors. The first is the siloed nature of their sales, marketing, and support organizations, which will impede enterprise-wide integration of customer-facing functions. The second stumbling block is that the only entities that can break this stalemate — the CEO and board — are often ignorant of how AI-based prediction models can redefine the way firms engage with customers and market segments.

Boards, unless they have members with tech expertise, are unlikely to demand the organizational transformations needed to make this happen. Ample evidence of this is found in traditional, sales-led enterprise software firms, that have struggled to defend themselves from nimble digitally native competitors that take a holistic approach to serving customers and understanding the opportunities in their data.

Will machines take over marketing and sales functions? No. Marketing and sales will not be run entirely by machines. We still need humans to make non-obvious decisions. When it comes to updating strategy, a human will always be needed to ensure the validity of AI-generated recommendations before acting on them. Humans are needed to monitor outcomes on an ongoing basis in order to provide continuous feedback to the AI models.

Remember, despite all its strengths, AI tools are far from infallible. AI at its best is a tool that augments human capability, and could reshape how we make decisions in functions such as marketing and sales and maintain a competitive advantage.

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3 Strategies to Earn Consumer Trust in Email Marketing https://smallbiz.com/3-strategies-to-earn-consumer-trust-in-email-marketing/ Thu, 03 Nov 2022 12:15:50 +0000 https://smallbiz.com/?p=80239

Research shows that most Americans are troubled by companies’ usage of their personal data. Perhaps paradoxically, however, consumers also prefer personalized marketing — which requires data. The author suggests three strategies for brands to use in email marketing to personalize messaging while earning and maintaining consumer trust: 1) Make your privacy and opt-in policies clear, 2) Optimize for humans, and 3) Create, test, learn, repeat.

Seventy-nine percent of Americans are troubled by companies’ usage of their personal data. In fact, 62% of Americans are so cynical about the state of data privacy in this country that they consider it impossible to move through everyday life without having their data collected and used.

To be sure, their anxiety is not unfounded. Last year alone, 4,145 publicly disclosed privacy breaches compromised more than 22 billion records. And increasingly, company leaders are being held to account for breaches: Under the GDPR, the EU’s data protection regulation, authorities can impose fines of up to €20 million (roughly $20,372,000), or 4% of worldwide turnover for the preceding financial year — whichever is higher. In October, a UK construction company received a €4.4 million fine following a 2020 phishing attack that compromised the personal data of up to 113,000 people.

One might think that stories such as these would deter consumers from sharing personal information with brands. Yet in a paradoxical turn of events, consumers also demand highly personalized marketing messages — and above all else, personalization requires data.

Take email marketing, for instance. In 2020, there were 4 billion email users globally, and 59% of consumers said marketing emails influenced their purchase decisions. However, for email marketing to be effective, it must be individualized. Consumers are so adamant about this fact that 72% will engage only with brand messaging that is tailored to them. The question, then, is how can you craft personalized campaigns that avoid spooking audiences and destroying brand-consumer trust? Here are three tips.

1. Make your privacy and opt-in policies clear.

Some 59% of Americans say they do not know what companies use their personal data for, yet they are concerned enough to delete cookies on a regular basis (41%) and install ad blockers on their devices (30%). Help plug those gaps in understanding by outlining precisely what consumers agree to when they opt into your email list and how their personal information will (and will not) be used.

Having a privacy policy on your opt-in form can make a massive difference in sign-up rates, but make sure it provides concrete information. One marketer found that she garnered 19% fewer sign-ups when her privacy policy was vague. In contrast, her sign-up rate skyrocketed when she added more specific language to the policy. Something as simple as switching “100% privacy — we will never spam you!” to “We guarantee 100% privacy. Your information will not be shared” increased performance by 19.4%.

Additionally, consider setting up double opt-in on your email list. Under double opt-in, once consumers fill out your on-site opt-in form, they must verify their email address via a confirmation email to complete the registration process. This additional step helps reduce the number of spam accounts on your email list and allows you to segment your audience by interest level.

How many users, for example, abandoned the registration process after step one? Funnel that segment into a series of emails meant to nudge them forward in the registration process. Those who completed the registration with no delays can begin receiving targeted, personalized emails.

2. Optimize for humans.

I have found that the best way to cultivate trust in your email marketing is to optimize emails for humans first ­­­­­­­­­— not robots. Start with language, as you need to focus on the human who will be reading it instead of the robots that will be scanning it. This is why it’s important to read the emails out loud to make sure that they sound conversational.

Ultimately, email is a private forum, so you can usually get away with more personal messages than social media. However, if the tone feels “off,” then your personalization efforts might come across as contrived or even creepy. The goal is to use language to create an emotional response — beginning with personalized subject lines, which boast higher open rates. Including someone’s first name is always a good start. If you have access to the data, you can also use recent purchases or birthdays.

Next, play around with the design. The psychology of color is well researched, and the findings are highly relevant to email marketing. According to Kissmetrics, 85% of consumers identify color as a primary reason to buy a product, and different colors can have different effects. Blue is usually considered a trustworthy and professional color, while red often indicates danger or security.

Finally, design your emails using the principles of universal design, which will ensure the emails are accessible to people with diverse preferences and abilities. Relevant, striking images can encourage recipients to digest the content of your email, but any time you use an image, you need to add alt text. This way, those with visual impairments can still gain any important context the image provides. Plus, among young consumers, inclusion is one of the best ways to build trust — not to mention, it’s the right thing to do.

3. Create, test, learn, repeat.

Create automated email workflows to help your team build customized campaigns at scale. Welcome emails are among the most opened — with an over 50% open rate — so start there. Birthday emails are an easy next step, then cart abandonment and website bounces, and so forth. Optimizing these categories first helps you gain the skills and reporting required to understand and learn from your target audience.

Like any marketing initiative, the best email campaigns are not the product of gut feelings. Rather, effective email marketing is achieved through systematic testing, measuring, learning, and adjusting. At this point, A/B testing your subject lines should be table stakes, but why stop there? Start A/B testing your emails’ pre-header text, calls to action, designs, layouts — everything — to see what resonates and what doesn’t.

Finally, don’t be afraid to gather direct feedback from your target audience. Collect opinions by setting up preference centers and encouraging subscribers to use them. Do they prefer to receive and read emails at certain times? Are your emails too long for their liking? Too short, even? How many times a week? This tactic helps dissuade people from unsubscribing and can even improve open rates when used judiciously. Use the feedback you get to build out those centers and empower subscribers to mold their email experience.

It makes sense that marketers lean on personalized email marketing: Email is consumers’ preferred way to receive brand communications (and it does not hurt that email boasts an impressive $42-to-$1 return on investment). But with privacy concerns percolating, you need to reassure consumers that they can trust you with their credentials. Incorporate these three strategies in your email marketing initiatives and watch as even the biggest skeptics begin to engage with your brand messaging.

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How to Get Empathetic Marketing Right https://smallbiz.com/how-to-get-empathetic-marketing-right/ Mon, 10 Oct 2022 12:05:15 +0000 https://smallbiz.com/?p=78175

Empathetic marketing reached an intense crossroads in 2020, when the pandemic prompted many brands to respond to collective grief — some with success, and many coming off as utterly tone-deaf. That doesn’t mean that brands need to shy away from channeling empathy in their marketing, however; authenticity and genuine connection are more important than ever. To this end, the author recommends three strategies for brand to forge genuine customer connections: 1) Keep one ear to the ground, 2) give customers the power of choice, and 3) set the tone with visuals.

Empathy is the foundation of an effective marketing strategy. But it’s not always channeled tactfully. Almost immediately after the pandemic hit, marketers rode the “unprecedented times” wave, deploying message after message in support of frontline workers and banding together. Two years in, however, this kind of mass messaging among compounding collective grief rings hollow. But that doesn’t mean emotion and connection from brands isn’t necessary — quite the opposite, actually.

Being truly empathetic means being genuine, and emotional marketing campaigns created to seize cultural moments come across as insincere at best and manipulative at worst. Authentic empathy begets authentic connections between brands and customers.

Nike and Ikea stood out for particularly powerful storytelling ads at the onset of the pandemic. But plenty of other brands — fashion companies hawking new clothes for swankier “staycations” or Loon offering a 20% discount on e-cigarette purchases with a “staysafe” promo code, to name just two examples — awkwardly attempted to wedge their way into the “we’re in this together” conversation with little to no success.

To that end, these three strategies can help you personalize your messaging, evoke genuine compassion, and forge powerful customer connections:

1. Keep one ear to the ground.

If the past few years have taught you anything, it should be that a lot can change in a short amount of time. With that in mind, you need to keep a consistent pulse on your customers’ wants, needs, and pain points. Otherwise, you will seem utterly out of touch.

The ways you engage customers to gather this information will look different depending on various factors, including your specific industry and whether you operate in the B2B or B2C space. However, make sure to balance so-called “anecdata” (i.e., evidence based on stated personal preferences as opposed to real-world behavioral data) with data on actual decisions people make.

Sometimes, people’s true preferences differ from their declared preferences because humans tend to answer questions based on idealized versions of themselves. It is why someone might claim to be an avid NPR listener (stated preference) when they actually jam out to Britney Spears on their morning commutes (revealed preference).

For example, if you are a pure-play e-commerce company, you might employ focus groups and ask users to take surveys, but you should also monitor actual website users’ behaviors and compare the results. Additionally, consider adding interactivity to learn more about your customers’ browsing and purchasing habits. Being able to truly understand another’s perspective is the foundation of empathetic marketing. Seeing the world from the user’s point of view puts the customer at the center of your strategy and its execution.

2. Give customers the power of choice.

Holiday campaigns are a valuable way to get your brand out there and highlight its personality. Unfortunately, holidays like Mother’s Day and Father’s Day can be painful reminders for some people about lost or estranged loved ones. That’s why marketing teams for brands ranging from Pandora to the Democratic National Committee have recently been experimenting with “opt-out” emails for major holidays. Consider, for example, this message from Etsy:

“We understand that Mother’s Day can be a difficult time for some. If you’d rather not receive emails from us about Mother’s Day this year, let us know by removing yourself below. We’ll still keep you in the loop about one-of-a-kind finds we think you’ll love, just without the Mother’s Day messages.”

Though some might argue that offering an opt-out option can be more triggering than the traditional marketing emails usually sent, I firmly believe that allowing customers to choose how they interact with you is the ultimate act of empathic marketing. Plus, marketing technology has advanced enough that it is easy to segment your audiences to send or withhold specific messaging.

Although this was the first year luggage brand Away offered an opt-out choice on Mother’s and Father’s Day emails, it will not be the last. According to company representatives, more than 4,000 Away email subscribers opted out of the holiday emails, and another 250 sent the company messages expressing thanks for its thoughtfulness. Expect more brands to follow suit.

3. Set the tone with visuals.

The last thing you want is for target audiences to perceive your empathetic messaging as shallow or phony. To minimize the possibility of your messaging appearing shallow, use visual design to set the tone. And whatever you do, make sure it aligns with the brand you have created.

A wonderful example of visually authentic design is the professional services firm Ernst & Young. The subject matter is relatively pedestrian, but when you visit its website, you see photos of diversity, nature, and aspirations — all of which pair well with the brand’s empathetic tagline: “Building a better working world.”

Additionally, ask yourself: Can you rethink your design to be more accommodating and tactful? Three-quarters of people use some sort of vision correction, according to The Vision Council. So, a more accommodating approach to design that isn’t cluttered and doesn’t strain the eyes can position your company as an empathetic and collaborative one.

Again, authenticity is key. Steer clear of visuals that promote toxic positivity (which will come across as insensitive) and definitely avoid Hallmark-esque stock footage. Ensure your brand’s visuals account for the manifold experiences people might have: the good, the bad, and the ugly.

The ability to understand others’ perspectives has always been paramount in marketing, and that rings especially true during the moments it feels like we all will be swallowed by collective grief. To get empathetic marketing right, however, it needs to be personalized and genuine. There is no such thing as faking it until you make it, so get to work.

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