Marketing in a downturn

Only 20 percent of salespeople are prepared to offer real value during a sales call. In a tough market, this won’t cut it. Sellers who prepare for sales calls with general industry knowledge are not able to demonstrate the unique value required to sell in today’s increasingly challenging environment.

To successfully close deals, sellers need to be customer-centric and develop a deep understanding of their customer’s business objectives and success metrics, aligned to the organization’s specific context. This approach builds sellers’ credibility, conversational agility, and their ability to adjust their talking points to address clients’ different motivations, which are critical when spending isn’t really on the table.

Customer centricity also allows sellers to engage with clients throughout all parts of the sales cycle, which enables them to find unexpected opportunities. A seller who can shift gears mid-conversation by listening for cues will be able to address business priorities that genuinely land with the client—and get them invited back for further meetings. When sellers can see things from the customer’s perspective, they become trusted advisors.

By leveraging a customer-centric mindset to position themselves and their organization as a true partner for success, sellers will demonstrate value and win business, even in a tough economy. To build your teams’ customer centricity, sales leaders should facilitate the following steps:

1. Gather deep industry knowledge

It’s not enough to have company-specific history and context in your back pocket; industry expertise and context is critical to build rapport and trust. Going beyond “show me you know me” and demonstrating exactly how a product or service provides value to your customer and represents an investment is crucial in today’s market.

Sellers also need to gather in-depth information about the people seated across the table—prospects and customers specifically. To prepare, sellers should comb through social channels, read 10-Ks, and keep up with industry press, and ask: What challenges are keeping your prospects up at night? What innovations do they have in progress? Who are their competitors? Are there any recent shifts in customers they’re targeting? The context allows the seller to speak directly to prospects’ pain points and develop custom, thoughtful solutions.

2. Develop the skills to secure a meeting

For salespeople, of all the skills to master, getting introductions tops the list. In fact, 70 percent of customers value “connected processes,” otherwise known as contextualized engagements. Think of this as a seamless hand-off between a person in the seller’s network and a decision maker at a company.

Introductions go beyond the introduction itself. They also require sellers to share a strong point of view and ask the right questions so that customers will open up about their businesses. It’s all about being relevant and bringing value to the conversation.

3. Understand customers’ metrics

Many salespeople enter the room with some understanding of their customer’s business challenges. Not as many come in with knowledge around the financials, initiatives, and KPIs used to measure success. Knowing how a client will measure success allows a seller to speak to those points specifically.

The seller must focus on the customer by providing insight, following up regularly, and even helping to strategize next steps. The goal is to ensure that customers see the value of the company’s products or services and seek to adopt them. Success will encourage additional purchases, and over time, generate steady revenue streams.

4. Pair the offer with the value proposition

Without a clear understanding of how the company’s products or services deliver value for clients and how to present this in a compelling way, sellers will consistently fail to close deals. Understanding and delivering the value proposition is so mission critical that it should be built into every organization’s training and enablement.

One way to prepare sellers is through simulations, which immerse customer-facing teams in their customer’s challenges. Being on the inside of their customers’ business allows sellers to become more intuitive and thoughtful about developing solutions. Furthermore, they get to practice having challenging conversations, whether with their manager or a professional coach, in a safe environment that helps them to develop confidence.

Developing a customer-centric mindset is ever more critical for sellers who need to close deals in a challenging economic environment. Knowledge, conversational agility, and consultative skills enable sellers to become strategic client partners, win new business, expand critical accounts, and foster successful long-term relationships with important stakeholders in the market.

The hardest sell is not the one you have to make, it’s the one your buyer has to make internally against other priorities andinitiatives.

As a seller, you can feel it coming. When recession looms, a company’s first impulse is to dramatically cut spending. But you can work the downturn to your advantage—helping buyers position your solution not as just another cost competing for space in a tightened budget, but as the key to thriving in hard times.

These four steps will enable you to make it easier for yourbuyers to buy.

1. Improve your understanding of the situation‍

Take a macroeconomic view of how a downturn is affecting your customer’s business. Examine the trends moving against the company’s ability to purchase, in particular the implications of how these trends impact the budget areas where you sell today. Customers who were previously looking for 20 percent year-over-year growth are likely now aiming for something more conservative, or even hoping just to remain flat. Maintaining revenues and market position are more important than ever in a recession.

Even during market downturns, however, customers still have problems that need to be solved. Consider the decision levers influencing purchasing amid these macroeconomic trends by identifying high-level trends that customers need to focus on in a downturn. These will fall into at least some, and maybe all, of the following categories: technology, people, strategy, key initiatives, competitive landscape, and business performance. Examining the internal communication of your own company and any changes in how decisions are made mayalso give insight into what your customers are experiencing.

2.  Improve your understanding of the situation

Even your strongest business relationships can now look much different due to economic pressures. Most customers will be facing increased scrutiny on any purchasing decision, with new stakeholders involved in the buying process who require higher levels of justification. A longer sales cycle has wide effects on your ability to manage your pipeline and territory and forecast your year. In a downturn, sales fundamentals are more important than ever, so you need to take these three actions:

Evaluate your customers. Looking at your book of business, who are your most critical stakeholders? Taking the time to evaluate which relationships are essential to sustain and beginning to formulate a game plan will keep you focused.

Discover and align to changing goals. Particularly for your most essential customers, you will need to be intentional about understanding how the looming recession is affecting their business and their decision-making processes. Often a short-term strategy is put in place to maintain financial health throughout the downturn. As a good partner, you need to be able to align with the new success targets and be proactive in the process.

Uncover the new competition. A downturn can bring a source of competition you haven’t faced before: other initiatives inside of your customer’s company competing for the same budget dollars. With waning confidence in growth, C-suite leaders have little choice but to tightly monitor costs throughout the organization. Inevitably, this ratchets up the internal competition for funding as finance departments try to decide which initiatives are mission-critical and which could wait for better conditions.

Getting back to basics and spending the time to deeply understand how the external pressures are creating new internal processes for your customers can help you better position yourself throughout the downturn.

3. Position yourself

Now that you fully understand the new strategy of your key accounts and any potential internal competition, you are ready to position yourself. While you may be tempted to look at shorter contracts or discounting, any amount of discounting can have long-term effects on your relationships and signal desperation. More than ever, it is critical that you create a value proposition for your customers. In addition, you must present a creative value proposition that is broad enough to appeal to the new stakeholders at the table. You may find yourself with C-suite executives involved in conversations that previously required lower-level sign off. Being able to confidently present your offering and think on your feet will be essential. Be sure to understand what value your offering brings to different areas of your customer’s organization and know what levers you have at your disposal to help a deal move along. Remember that just as your customers want to avoid any short-term missteps for their business, you must protect your business as well. Look for creative ways everyone can win.

4. Identify new opportunities

Finally, you need to be more proactive and agile during this time. While maintaining major accounts and relationships is important, finding new areas of business may be even more important. You might have built a book of business around an industry that is widely affected by the downturn. Networking with your team and staying current on market conditions can you help you find marketplace shifts and lead you to new opportunities. Communicating with your sales and marketing leadership on what you see and hear in the field may help everyone uncover new applications, industries, and customers for your products.

There’s no denying that selling in a downturn presents a new set of challenges. But by leveraging empathy and insights into the internal and external forces impacting customers, you canpartner with your buyers to make a winning business case—even in a downturn.

How will your business survive amidst surging inflation and increased costs for energy and raw materials?

How will you ensure customers buy your products and services when they need to spend more on almost everything? Right now, these questions are top of mind for you and other business leaders. Unfortunately, most factors that contribute to inflation are out of your control. However, there are a few key strategies you can leverage to mitigate the consequences of inflation.

1. Rethink your value proposition

More than ever, a clear, targeted value proposition is mission critical. To reach customers in a time when they are hesitant to spend, you need to address their specific needs and desires, which requires having deep insights about them. Without this understanding, it’s impossible to highlight the value that your offering provides. To dig deeper, conduct customer focus sessions or interviews to understand what they value most and why. Leverage the following process to structure how you rethink your value proposition.

• Customer Understanding: Know your customer better than anyone else and appreciate the difference between customers.
• Customer Segmentation: Gain a solid understanding of the segmentation process. Segment your customers based on your customer understanding.
• Specific Value Proposition: Develop segment-specific offerings based on customer insights. Create segment-specific value propositions.

2. Redesign your pricing approach and strategy

Amidst high inflation, price is a sticking point for customers – but increases are often necessary for the longevity of your business.

When considering price increases, ask yourself, what do we want to achieve? Your pricing approach and strategy depend upon how much of a price increase you can afford. Do you want to gain market share with your premium brand? Do you need to defend against a private label? You must consider these questions when rethinking your pricing strategy because price increases should not jeopardize your overall strategy.

Regardless of which path you choose, use insights you’ve gathered about customers as you reevaluate. Your pricing should reflect the benefits of your offering.

Depending on your customers’ price sensitivity, their reaction will be different. Consider these factors when redesigning your pricing strategy:

• Customer’s income statement / financial status
• Customer’s willingness to pay
• Customer’s industry and product segments (necessities vs. luxury goods)
• Availability of alternative products and substitutability

However, your price increase shouldn’t be too moderate (< 2%). An increase needs to be worthwhile and secure your margin, so you don’t have to raise prices too often.

3. Communicate your price increase

Raising prices without a thoughtful communication strategy can backfire and harm your relationships with customers. Remember, your customers are also facing higher prices for almost all goods and services, so be sure sellers are equipped to approach the situation with care.

Create a compelling story that sellers can use to frame the price increase highlighting the value your customers will receive when purchasing your offering. What additional benefits will they receive at this new price? Why should they be willing to pay more?

As part of the story, sellers should only plan to mention the increase in input costs as a secondary factor. But, if higher input costs are the reason for the price increase, sellers should not be afraid to communicate this. Transparency counts.

Decades of psychological studies have proven that calling it what it is – a price increase – and avoiding euphemisms is important to customers. Sellers will often call it “price update” or “price adjustment” because they are afraid of customers’ reactions. However, customers value authenticity and honesty more than diluted messaging.

Another important factor is time. Since your customers might need some time to adapt to your increased prices, the earlier sellers communicate, the better.

In summary, before communicating the price increase to customers, be sure your sellers are prepared to do the following:

• Create a value-first storyline without neglecting external factors
• Avoid euphemisms and let customers know what they can expect
• Communicate in a timely manner

Whether you’re restating your value proposition or adjusting your prices, collecting feedback and insights from customers enables you to build trust and serve them better. This is especially critical during inflationary periods when price can be sensitive and communicating changes must be approached with consideration and care. However, putting in this additional work will be rewarded with steadfast customer loyalty even if price increases persist.

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There’s a specific kind of strategy meeting getting scheduled right now, in nice hotels with bad coffee: the AI reset off-site.

And for good reason. In a 2026 WRITER survey, 48% of leaders described their AI rollout as, in their own words, a "massive disappointment." That's nearly half the room.

What that number really measures is the distance between what these tools can do and what people are doing with them. In our experience, that distance is almost entirely human.

Which is why the off-site is the right instinct. Making the most of that time is the harder part.

What separates an AI reset that actually changes the game from an expensive two-day conversation? In our experience, it comes down to avoiding four common design mistakes.

Mistake 1

Blaming the bots

The gap between AI investment and real adoption is almost always about people, not technology. And when adoption stalls, we usually find it's one of four things.

1. They don't think it will help them
2. Nobody around them is using it
3. They don't feel capable
4. Or they don't have real access to the tools they were promised

Four different problems, and four completely different fixes.

That's why diagnosis comes first. If you don't know which barrier you're dealing with, every intervention becomes an educated guess. And you cannot tell which one you have by staring at a dashboard. A belief gap and a skill gap look identical in a status report and need opposite interventions. Show up guessing, and you'll spend real money teaching people to use a tool they simply don't trust yet. Congratulations - you've just catered the wrong conversation.

Mistake 2

Letting leaders off the hook

One of the biggest predictors of whether change sticks is also one of the most overlooked: leadership.

If your executives show up as observers, nodding along and quietly answering email under the table, your people clock it in about four minutes.

That doesn't mean your CEO has to emcee the thing. It means they use the tools in front of everyone, participate in the conversation, and make it clear this isn't someone else's initiative.

Recently we’ve been working with a Fortune 200 global professional services firm who’s top 120 leaders were at very different points with AI. Some were redesigning entire processes. Others were using it to summarize emails, or not at all. Rather than focus on the technology, the four-hour session focused on what leaders could do with AI, applying it to a live strategic challenge and ending with a personal commitment to lead differently. The response was strong enough that the organization is now cascading the experience globally.

The lesson is simple: when leaders experience AI as a strategic capability, they're better equipped to model the behavior that makes adoption stick. Nothing you build during those two days survives without that entire chain of leadership doing its part.

Mistake 3

Chasing the wrong outcome

Without a behavioral baseline, you have no way to prove anything actually moved. No baseline, no ROI. You're just hoping the energy in the room was good, which is a wonderful feeling and a terrible metric to bring to your CFO.

But the baseline isn't just about proving the off-site worked. It's about understanding where you're starting in the first place. And you'll want that clarity, because the quiet resistance is real. In that same 2026 research, nearly a third of employees admitted to actively working around their company's AI strategy. If you don't win their belief in the room, some of them will keep politely ignoring the whole thing from their desks. You can't measure your way out of that. You have to earn your way out of it.

Which brings us to the biggest reframe of all.

Mistake 4

Leaving follow-through to chance

We've been working with a Fortune 100 medical device company on their AI strategy for three years. It started with their leadership team, a three-hour session built around what those leaders would do differently, and it landed. What became clear afterward was that the same experience needed to happen everywhere else. So, it expanded: 90-minute activations for 15,000 people, and this year intact teams redesigning their own workflows.

Three years in, that first session is the smallest part of the story.

Your event is where momentum gets created. What happens at 30, 60, and 90 days is where results get made.

If you're planning one of these and want to change what happens on Monday, not just how everyone feels on Friday, that the work we do.

‍We'd be glad to help you design it.

Candidates now arrive at interviews pre-coached by AI, with their resumes optimized to pass every checkpoint. Polish has stopped being a signal. The traditional hiring process was built to read exactly the cues that AI is now best at producing, and the signals hiring managers once relied on have weakened as a result. And for roles where the wrong hire carries real business consequences, losing the ability to tell who will actually perform is not a minor inconvenience. It is a material risk, and it exposes the business to unnecessary turnover, reduced performance, and heavier investment for talent growth and development.

So how do you observe the behaviors that matter most, before someone is in the role?

Not by asking better questions, but rather by putting candidates in situations designed to elicit that behavior.

The limits of predicting from paper

Credentials tell you what someone has done. Structured interviews tell you what someone says they would do. Neither lets you observe what they actually do in the moments that count.

This distinction matters most in client-facing, relationship-driven roles, where the performance gap between a strong hire and a weak one plays out in real business outcomes (revenue, retention, client growth). Organizations that hire at scale in these roles carry that gap across hundreds of decisions at a time.

The better approach is to watch candidates do the work before you hire them. Put them in simulated, role-relevant scenarios, and pair the simulation with a second, different kind of measure so no single method carries the whole decision. That combination is what lets you evaluate real performance before anyone is in the role. Organization-specific simulations provide a clear read on who is ready and capable of performing on day one. In a world of AI-supported candidate signals, the use of simulations makes the process harder to prep for. It is harder to fake. And, when designed well, it is substantially more predictive than other hiring methods.  

What counts as evidence

Claims about predictive power are easy to make. Evidence for them is rarer than you would expect.

A predictive validity study, the kind that links pre-hire assessment scores to how someone actually performs once hired, is some of the hardest evidence to produce and the rarest to see. Many assessments are validated against proxies: another test, or a theoretical model of the role, rather than real results on the job. Connecting scores to concrete business outcomes and doing the statistical work to show the link holds, takes years of shared data and a level of commitment from both the assessment provider and the client that most partnerships never reach. That is precisely why it is worth asking for. A provider who can show how assessment scores track to training completion, retention, and first-year output is offering something categorically different from one who can only show a correlation with another test.

Why simulation holds up where other methods do not

When a candidate sits across from a trained assessor (someone playing the client or prospect on the other side of the conversation) and has to work through a real situation, they cannot rely on a rehearsed answer. The scenario is specific. The stakes feel real. What you see is close to what you would get on the job.

That is the value of simulation-based assessment: it does not test what candidates know about the role.

It shows how they use what they know when a real person is on the other side of the conversation, before the stakes are real.

For roles that carry significant business responsibility, this distinction is the whole game. The cost of the wrong hire in a high-stakes client-facing role is not just a missed quota for a quarter - It plays out in relationships that do not develop, clients who leave, and productivity losses that compound over time. Getting those hiring decisions right, at scale, with consistency, requires methods that are built for predictive accuracy, not just candidate experience or hiring speed.

What this means for how organizations think about hiring

Most organizations are still optimizing the wrong things in their hiring process. They invest heavily in employer branding, application flow, and interview structure, all of which matter, but less in the core question: does our hiring process actually predict who will succeed in this role?

AI has sharpened the stakes here. If every candidate can present as polished and prepared, screening based on presentation becomes less useful. What holds up is direct observation of the behaviors that the job requires.

A few principles worth building from:

• Measure what the job requires, not what is easy to measure. Cognitive tests and personality questionnaires have their place, but they do not look much like the job. The closer the assessment is to the actual work, the better it predicts performance in it.

• Ask what your assessment predicts. Training completion? Retention? First-year output? Most organizations cannot answer that question today, largely because providers have rarely been asked to prove it. It is a fair thing to ask for.

• Take the human element seriously. In a simulation, a candidate is having a real conversation, responding in real time, navigating a situation that requires judgment. Even with the help of AI, that is hard to game. And it remains one of the strongest predictors of on-the-job performance available.

The data exists to make hiring decisions more accurate, fairer, and more directly tied to business outcomes. For organizations operating in high-stakes roles at scale, there is too much on the line to rely on methods that cannot hold up to that standard.

You may be interested in BTS’ thought leadership in the five talent shifts AI is forcing now.  

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La IA ya forma parte del día a día de las ventas. Hoy cualquier asesor puede llegar a una reunión con datos, tendencias e insights generados en segundos. Sin embargo, disponer de más información no garantiza conversaciones de mayor valor.

A través de una experiencia real con un consultor comercial, este artículo explica por qué la inteligencia artificial funciona como un GPS: ayuda a interpretar el entorno, pero no conduce la conversación ni entiende las prioridades del cliente.

En este artículo descubrirás:

• Por qué el acceso a la información ya no supone una ventaja competitiva.
• La importancia del business acumen para interpretar los datos con criterio.
• Cómo hablar el lenguaje del cliente genera credibilidad y diferenciación.
• Por qué las relaciones B2B evolucionan hacia relaciones P2P basadas en la confianza.
• Qué capacidades consultivas seguirán siendo exclusivamente humanas incluso en la era de la IA.

La tecnología seguirá evolucionando, pero la ventaja competitiva estará en quienes sean capaces de combinar inteligencia artificial con conversaciones centradas en el cliente, pensamiento estratégico y relaciones de largo plazo.