Say Less, Be Heard More
Wise men speak because they have something to say. Fools speak because they have to say something.
In a time when we are bombarded with communications from brands across every channel—constant push notifications, emails, digital ads, and even direct mail—Plato’s words couldn’t be more relevant. There’s so much noise that as customers, we’ve become conditioned to delete, swipe up, trash, and ignore these messages altogether.
The challenge for brands today isn’t necessarily about how to speak louder or more often, but how to communicate in a way where customers are intrigued and respond to the message. The key? Listen. Just like in any conversation, understanding your audience is essential. You need to know what they want, what they don’t want, where their interests lie, and the fringes of each of these questions to create a meaningful engagement for your customers. For customers to engage, businesses must focus on communicating with customers, not at them, and that starts with understanding by using the right customer data.
Data: The Root of the Problem—and the Solution
Here’s the irony: data is both the cause and the solution to this issue. Brands are using data to track how many emails they send, how many push notifications they push, how many ads they display, and how many “customers” they reach. They’re measuring and are incentivized on reach and frequency, which is the wrong data, the wrong group of metrics. This kind of data encourages businesses to bombard their customers with more and more messages, thinking that frequency equals impact. But all this does is contribute to the noise, leading to what I call communication fatigue.
Instead, brands should be effectively using the rich customer data they can find by listening, to understand, and improving the customer experience across every touchpoint. The goal shouldn’t be to maximize how many people you’re speaking to, but how effectively customers are listening to the messages. When a brand understands customer preferences, behaviors, and needs, it can stop shouting and start speaking in a way that resonates.
Customer-Centric Communication: Making Data Work for the Customer
At the heart of reducing communication fatigue is the shift towards customer-centric communication. This involves using customer data to understand your audience's unique preferences and habits, and to deliver value-driven messages. When brands use data the right way, they are not just sending messages; they are engaging in meaningful conversations with customers based on what they want to hear creating value for both the brand and the customer.
Data should help brands answer questions like:
- What channels does this customer prefer?
- What content resonates most with them?
- When are they most likely to engage?
- What drives the customer to disengage?
For example, instead of sending the same message across every channel to all customers, brands can use behavioral data to tailor content. If a customer prefers SMS over email, they should receive updates that way. If another customer engages most on social media, ads should target that space instead. This is about leveraging omnichannel communication—using the right channel for the right customer at the right time. And how do brands know customer preferences? Customers today willingly provide brands with the channels they prefer.
Another Contributor: Wrong Data, Fragmented Data
A major challenge in creating these customer-centric strategies is that many brands still operate in silos. Data lives in different departments—sales, marketing, customer service—which means it’s difficult to get a unified view of the customer. This disjointed approach results in fragmented data that fails to tell the full story, leading to irrelevant or redundant messaging.
To communicate more effectively, brands must overcome these data silos and unify their customer information. This is driving the growth of Customer Data Platforms (CDP) today. When data is centralized, businesses can see the entire customer journey, from the first web interaction to the final purchase, and understand where and how to engage in a way that adds value, not noise. By unifying data, companies can accurately anticipate customer needs and deliver more relevant, personalized content.
Data-Driven Insights: Timing and Content Matter
Data-driven insights allow brands to fine-tune their communications, not just in terms of what they say, but also when and how they say it. Timing is crucial: knowing when your customers are most likely to engage means you can send fewer, more effective communications. Whether it’s an email sent during a customer’s most active time or a well-timed push notification when they’re near your store, using data helps ensure messages are timely and relevant.
Moreover, engagement data helps refine the content itself. By understanding which topics, offers, or formats your customers engage with most, you can focus on delivering high-value content that resonates, instead of sending generic, one-size-fits-all messages.
Using Customer Data to Drive Engagement
Every customer interaction—whether it’s a purchase, a website visit, or an app download—leaves behind valuable data that brands can use to paint a clearer picture of their customer. Are they browsing but not buying? Are they abandoning carts or opening emails but never clicking through? Each of these behaviors tells a story that can inform more thoughtful communication. Instead of bombarding a customer with follow-up emails, use data to understand why they disengaged and adjust your messaging accordingly. This shift from simply communicating to truly listening to cut through the noise and reduce unnecessary touchpoints
Customers interact with brands in various ways—through social media, websites, apps, emails, or in-store visits. Each of these touchpoints provides crucial information about customer preferences. Use this data to ensure consistency and relevance across all channels. For instance, if a customer shows interest in specific products online but hasn't made a purchase, following up with personalized content that speaks to that interest—whether via an email or an ad—will feel much more natural than sending a generic offer.
Many brands make the mistake of measuring communication success based on volume—how many people received the message, how many touchpoints were made. But engagement is not about quantity, it’s about quality. What matters is not how many emails or notifications you send, but how many of those actually lead to meaningful engagement. Instead of tracking the number of communications, brands should be focusing on metrics like open rates, click-throughs, conversion rates, and customer satisfaction. These indicators show whether your message is cutting through the clutter and resonating with your audience.
The right message at the wrong time is still the wrong message. Customer data can reveal patterns of behavior—such as when customers are most likely to engage with your brand. Whether it’s timing an email based on a customer’s past engagement history or pushing a notification when they’re near your store, data helps you deliver messages when they’re most likely to be received positively. This reduces the number of unnecessary communications and increases the impact of each touchpoint.
The brands that excel in today’s crowded digital landscape aren’t those who speak the loudest—they are the ones who listen the best. Customer data should be used to facilitate a two-way conversation where brands respond to customer needs, preferences, and behaviors in real-time. This not only builds trust but fosters loyalty. When customers feel understood and respected, they are more likely to engage with your brand on a deeper level.
Reducing Communication Fatigue with Data-Driven Insights
One of the biggest challenges for marketers today is finding the right balance between staying top-of-mind and becoming an annoyance. Audience data helps solve this by enabling fewer but more strategic communications that deliver real value. By understanding your audience’s preferences, you can ensure that your messages don’t contribute to communication fatigue.
Here are some key tactics to reduce communication fatigue:
- Frequency Control: Track how often your customers engage with your communications and adjust the frequency accordingly. Highly engaged customers may be receptive to more frequent updates, while others might prefer less frequent touchpoints.
- Content Preferences: Analyze which types of content generate the most engagement and focus on delivering those. Suppress or avoid sending messages that customers have consistently ignored in the past.
- Automated Journeys: Automation tools allow you to create dynamic communication journeys that adapt to customer behavior in real-time. For instance, if a customer doesn’t open your first email, an automated system could send a follow-up with a different message or offer that might be more appealing.
Conclusion: A Data-Driven Approach to Saying Less
In a world where customers are bombarded by messages from every angle, the brands that stand out are those that say less, but say it more effectively. By using customer data to understand preferences and behavior, brands can shift from speaking at customers to engaging with them. Reducing communication frequency doesn’t mean losing relevance—quite the opposite. When you understand your audience deeply, you can make every message count, delivering real value at just the right moment.