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Digital Marketing Highlights

What is remarketing? How to re-engage customers and drive results

Most people don’t become loyal customers after just one interaction with your brand – and that’s normal. The key to repeat purchases and long-term loyalty lies in how you re-engage those audiences, keeping your brand top of mind until they’re ready to take action. Remarketing is a powerful strategy for nurturing these relationships, turning interest into action and action into loyalty through targeted, personalized outreach.

What is remarketing? The basics and its role in digital marketing

Remarketing is the practice of re-engaging people who have previously interacted with your brand, using direct communication channels like email, SMS, or customized ad campaigns. Rather than targeting entirely new audiences, remarketing focuses on reminding warm prospects and past customers about your products, services, or offers. It’s a critical part of a full-funnel digital marketing strategy, helping brands extend the customer journey, foster trust, reinforce brand value, encourage ongoing engagement, and help move audiences closer to conversion while also strengthening long-term loyalty.

Remarketing vs. retargeting: What’s the difference?

While remarketing and retargeting are often used interchangeably, they have distinct differences. Retargeting typically refers to paid ads served to users who visited your website, but did not convert. Remarketing is a broader strategy that can include retargeting, but typically uses more channels, like email and SMS, and utilizes different data sources, like customer lists or CRM data. Whereas retargeting hyperfocuses on moving a user through the funnel toward conversion, remarketing also aims to drive engagement and build loyalty.

How remarketing works: Harnessing first-party data

Remarketing relies on first-party data: information a brand collects directly from its customers, like email addresses, phone numbers, purchase history, and website behavior. Using this data, brands can create targeted lists and craft personalized campaigns across various marketing channels. The goal is to reconnect with audiences who have already engaged with the brand in some way, delivering timely and relevant messages based on their past interactions. Some examples include:

  • Email based on cart abandonment: Send a personalized email reminder featuring the exact items a user left in their cart, along with a limited-time discount to encourage checkout.
  • Email based on buying history: After a customer makes a purchase, email them suggestions for accessories or complementary products they might also like, based on their buying history.
  • SMS follow-up after event attendance: Text attendees a thank-you message after a webinar or in-person event, with a link to related resources or a special offer.
  • Display ads for existing customers: Upload an existing customer list from your CRM to Facebook or Google to serve loyalty-focused ads, like early access to a new collection.
  • Email inactive users: Email users who haven’t engaged with your brand in a while, offering an incentive like a discount or personalized recommendations based on their past activity.

By leveraging insights like product preferences, past purchases, or abandoned carts, remarketing helps brands deliver experiences that feel customized, rather than generic, encouraging users to take the next step in their journey.

Remarketing in a privacy-centric world

As privacy regulations tighten and third-party data becomes less reliable, brands have had to rethink how they approach remarketing. Today’s remarketing strategies place a greater emphasis on ethical data collection and consent-driven practices, prioritizing the use of first-party data gathered directly from users. Modern remarketing campaigns are built around trust, offering value in exchange for personal information and being transparent about how that data will be used. Brands are also exploring server-side tracking, customer data platforms (CDPs), and preference centers to responsibly manage and activate their data, ensuring that personalized outreach remains effective without compromising user privacy.

Take a look at what companies should be doing to set themselves up for success in an increasingly data privacy-focused world.

Remarketing strategies that convert: From awareness to loyalty

Effective remarketing isn’t one-size-fits-all. By strategically aligning your messaging and channels to a customer’s stage in the journey, you can meet their needs more effectively and maximize the value of every interaction. Whether you’re looking to expand reach, deepen engagement, drive conversions, or nurture long-term loyalty, remarketing can be tailored to meet those goals.

  • Grow reach with lookalike audiences: Use your existing customer data to create lookalike audiences and extend your reach to new users who share similar characteristics. By identifying common traits among your existing customers, you can expand your reach to new, high-potential users who are more likely to engage with your brand.
  • Generate engagement with personalized content: Re-engage past site visitors, email subscribers, or app users by delivering content based on their interests and behavior. This might include sending blog posts, tutorials, or product highlights that match their previous activity, encouraging continued exploration and interaction with your brand.
  • Drive conversions with behavior-based triggers: Target users who’ve abandoned their carts, browsed specific products, or taken high-intent actions with reminders, incentives, or urgency-based messaging. These campaigns are designed to recapture attention at the right moment and guide users toward completing their purchase.
  • Build loyalty and retention with ongoing value: Remarketing doesn’t stop after the first sale. Use email and ads to thank customers, ask for feedback, or promote loyalty programs and reordering opportunities. This keeps your brand top of mind and encourages repeat purchases, deeper engagement, and long-term customer value.

Best practices for effective remarketing

Remarketing can be incredibly effective — but only when it’s done thoughtfully. Bombarding users with generic messages or overexposing your brand can do more harm than good. To get the most out of your remarketing efforts, consider these best practices:

  • Segment your audience thoughtfully: Not all users are at the same stage of the journey. Use behavioral data, engagement history, and customer attributes to tailor your messaging for different segments, such as cart abandoners, past purchasers, or lapsed users.
  • Prioritize personalization: Use first-party data to personalize your content, timing, and channels. Whether it’s a product recommendation based on browsing behavior or an email tailored to a customer’s purchase history, relevance is what drives results.
  • Respect frequency and timing: Oversaturation can lead to ad fatigue or even frustration. Set frequency caps, avoid over-messaging, and time your outreach based on when users are most likely to engage.
  • Align creative with context: Make sure your creative matches the user’s experience. For example, if someone browsed a specific product, show that product, not a generic homepage ad. Your messaging should feel like a natural next step, not a reset.
  • Test, learn, and optimize: Run A/B tests on creative, copy, timing, and channels to identify what works best for each audience segment. Use performance data to refine your campaigns and continuously improve results.
  • Stay privacy-compliant: With changing regulations and consumer expectations, it’s critical to handle data responsibly. Ensure users have opted in where needed, provide clear privacy options, and be transparent about how their data is used.

Building lasting relationships through remarketing

Remarketing is more than a tactic for winning back lost sales. It’s a strategic tool for deepening relationships, guiding users through the customer journey, and building long-term brand loyalty. By leveraging first-party data, choosing the right channels, and tailoring your messaging to each audience segment, you can create meaningful, timely interactions that drive both engagement and conversion. As privacy expectations evolve, the brands that succeed with remarketing will be those that lead with value, transparency, and relevance. When done right, remarketing doesn’t just bring people back, it brings them closer.Want to strengthen your remarketing strategy? Our team can help you turn data into action with personalized, privacy-conscious campaigns that drive results. Let’s connect.

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Digital Marketing Highlights SEO UX Design

Chunk it up: How content chunking enhances digital experiences

We know it hurts to hear this, and we’ll hold your hand as we say it, but your users probably aren’t hanging on to your every word. They’re scanning your website or app for the information they need right now. And smart content chunking helps them find it.

Content chunking is a proven technique in content strategy and UX design that breaks information into smaller, digestible pieces to reduce cognitive load and increase engagement. It’s a smart, user-first approach that supports everything from better search visibility to stronger conversion rates, and it’s essential for teams looking to elevate their digital experiences.

Let’s dig into how content chunking works, why it matters, and how to apply it effectively across channels.

What is content chunking?

Content chunking is the practice of organizing information into meaningful chunks to make it easier for people to process, understand, and remember. The concept has roots in instructional design and cognitive psychology, and was popularized in digital UX circles thanks to the work of the Nielsen Norman Group.

When content is presented in smaller units, with clear hierarchy, white space, and consistent formatting, it instantly becomes easier for users to navigate, especially on mobile or when multitasking. You might think about how textbooks use headers, sidebars, and summary boxes. Or how mobile apps break onboarding into step-by-step flows. The same principles apply to websites, landing pages, and emails.

Why content chunking matters

Effective content chunking isn’t just a formatting choice: it’s a strategic lever that improves the overall user experience and drives better outcomes. 

Here’s how:

  • It reduces cognitive load: Your users don’t want to think harder than they have to. Chunking content into smaller pieces helps them absorb information quickly without getting overwhelmed. (More on this in our blog on cognitive load in UX.)
  • It boosts engagement: Users are more likely to interact with content that feels approachable and easy to skim. That means longer time on page, lower bounce rates, and higher conversion potential.
  • It supports skimmability and scannability: Especially important for mobile and time-pressed users, chunked content helps users get the gist fast, whether they’re scrolling on their phone or voice-searching on the go.

When to chunk it up: Where content chunking works best

Spoiler alert: Content chunking works nearly everywhere. Chunking applies across a wide range of digital experiences and content types:

  • Web pages: Use headings, bullets, short paragraphs, and consistent visual hierarchy to make dense information easy to navigate.
  • Apps and digital products: Break down onboarding, tutorials, or feature flows into manageable steps with visual cues and supportive microcopy.
  • Marketing copy: From blog posts to email campaigns to social posts, chunking helps ensure messages are easy to digest, especially on mobile or when users are multitasking.
  • Search-optimized content and SXO: Chunking isn’t just good for humans and our flawed brains; it’s also great for machines and algorithms. Structured content helps Google surface answers in featured snippets and is increasingly favored by generative AI tools and large language models (LLMs) like Gemini and ChatGPT. Clear chunks = better discoverability.

Content chunking supports accessibility, too

Beyond engagement and SEO, content chunking is also a key practice in making digital experiences more inclusive.

Learn more about Tallwave’s approach to accessible app design.

For users with ADHD (like me, hi), dyslexia, or other cognitive and neurological differences, large blocks of text can be overwhelming or even inaccessible. Chunking content into smaller, well-labeled sections gives these users the ability to process information at their own pace, reducing fatigue and frustration.

For screen reader users, clear structure and chunked formatting (including headings, lists, and well-placed alt text) improve navigability and comprehension. When paired with semantic HTML and accessibility best practices, chunking helps ensure that content is not just easy to scan visually, but also easier to consume in non-visual formats.

Good UX isn’t just about delight. It’s about reducing barriers.  And chunking is one of the simplest ways to do just that.

Putting it in practice: Content chunking best practices

Like most strategic UX practices, content chunking works best when it’s intentional, consistent, and collaborative. 

Here’s how to get it right:

  • Start with the user’s intent: Understand what the user wants to accomplish and structure content to support that journey.
  • Use visual cues: Headers, spacing, icons, and section breaks help guide the eye and reinforce information hierarchy.
  • Stay consistent: Whether it’s across blog posts, product pages, or onboarding flows, consistency builds familiarity and trust.
  • Work across teams: The best chunked experiences happen when content strategists, designers, and UX pros collaborate. That’s why at Tallwave, we bring an integrated POV to digital experiences, because user-centered design isn’t just about writing or visuals. It’s about how everything works together.

Want to see an example of content chunking in action? You’re looking at it. This blog’s use of headers, brief (but meaningful) content sections, and bulleted lists is content chunking at work.

The Tallwave approach: Turning chunks into conversions

We’ve seen firsthand how smart content chunking improves UX and business performance. Whether we’re designing product onboarding flows or restructuring a services page, we use chunking as a foundational principle, and the results speak for themselves.

Want to make your content work harder?

Let’s talk about how Tallwave can help you reduce friction, improve discoverability, and design digital experiences that actually convert. Let’s chat.

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Customer Engagement Digital Marketing Highlights SEO

AI reshaped how customers choose. Is your 2026 plan ready?

2026 might feel far off, but your window to adapt is closing fast.

The way customers discover products and services, and decide which brands will earn their dollars, has changed more in two years than in the previous twenty. Generative AI, shifting social platforms, and emerging search behaviors are rewriting the rules, often before brands even notice. Planning cycles haven’t caught up. But the brands that do? They’re already gaining ground.

Growth strategy planning for 2026 in a shifting reality

It’s that time again: spreadsheets, strategy decks, offsites. The strategic planning treadmill is moving fast. Everyone is planning for 2026 right now. But most are planning like it’s still 2022. The world outside your org chart has changed dramatically, and the impact of that change is having an outsized impact on marketing strategies.

The usual suspects—channel plans, departmental OKRs, quarterly lead targets—feel familiar. But they’re colliding with a much bigger disruption: AI is reshaping how customers discover, compare, and decide.

Brand discovery today happens through opaque, shifting systems, and shaped more by algorithms than intention. Discovery now spans AI summaries, social platform algorithms, voice assistants, zero-click content experiences, and aggregated reviews. If you’re not influencing these surfaces, you’re invisible, even before the search begins.

Your customers no longer follow your funnel, they follow their curiosity. And increasingly, that curiosity is shaped by algorithms you don’t control.

Search is the next frontier in the AI evolution

Search still matters, and curiosity still flows. But it’s no longer a simple typed query in a clean Google bar.

 It’s an increasingly complex web of competing influences with varying degrees of veracity, including things like:

  • A confident, final-sounding LLM answer from ChatGPT, one of the 1.8 billion AI-generated responses users consume daily.
  • A TikTok with no link and no context, yet 51% of Gen Z say they use it as a search engine
  • A Reddit thread resurfacing in Perplexity, summarizing your competitor’s edge, often with 100k+ views.
  • A YouTube video, created by a third party with no affiliation to you, that outranks your homepage in search results.
  • Hours lost rewriting prompts, scrolling low-quality results, and bouncing between platforms until your customer gives up.

Decisions are made before your brand even enters the conversation. Brands are losing visibility in once-winnable moments of potential brand discovery because they’re still optimizing for a search behavior that no longer exists.

Discovery is fragmented, AI-mediated, and happening at an increasing distance from brand-owned environments. You’re not losing the click and the consideration before it even begins. 

From channels to journeys to discovery systems

The most urgent mindset shift for 2026:

Stop planning by channel.
Stop organizing by function.
Start building for how real people discover and evaluate your brand.

Tallwave calls this: Journey-Driven Discovery.

It starts by asking:

  • How are people encountering your brand in 2025?
  • What do they see, hear, or compare before they ever reach your site?
  • How does AI shape their perception before your first impression?
  • How is the discovery journey likely to continue evolving in 2026 and beyond?

This is no longer theoretical. Social platforms optimize for discovery behavior. Search engines reward experience depth and intent clarity. AI assistants shortcut straight to the “best” answer, sometimes skipping your brand entirely.

Your content is now being used to influence people before they even know your name.

The brands that understand and embrace this shift win before others even know the game has changed.

 Learn more about how Tallwave’s discovery process fuels growth.

Forward-looking brands are adapting their approach to growth planning

This isn’t about “trying SEO 2.0.” It’s about rethinking your digital visibility from the ground up. The best brands are already:

  • Mapping real-world discovery journeys across AI, social, and other search platforms 
  • Implementing content strategies structured for AI summarization, not just crawlability
  • Investing in digital experience where brand, search, and UX converge
  • Using simulation tools and generative queries to evaluate how AI surfaces, summarizes, and positions their brand today
  • Defining and tracking findability through real-world discovery signals, not just keyword rankings or reach metrics

These aren’t thought experiments. They’re live initiatives we’re driving with clients right now to reclaim attention in an AI-first world. This means we’re structuring content and implementing strategies ripe for AI summarization: clear headings, concise value statements, first-party expertise, and schema that reinforces context.

If you’re leading growth strategy, this is the moment to make real change:

  • Rewire your understanding of “search” think AI interaction, not just query typing
  • Align content, performance, and experience into one unified growth strategy
  • Budget for presence, not just paid reach
  • Be prepared to answer the critical question: What happens when my customer doesn’t come to me, but asks an AI about me? 

Call to action: How Tallwave can help you get there

If you’re serious about owning your discovery moment in 2026, here are three ways we can help you prepare to deploy a journey-driven discovery strategy today:

1. AI discovery baseline and competitor benchmark

A 3-week deep dive into how your brand shows up across AI platforms, search engines, and social discovery surfaces compared to your top competitors.


Outcome: Visibility gaps, competitive deltas, and where you’re winning or losing attention that inform discovery-driving strategies tailored for an evolving and increasingly AI-mediated discovery journey.

2. Discovery journey mapping + readiness assessment

We map your real-world customer discovery journeys across AI and LLMs, search, social, and digital touchpoints, and assess how your brand performs at each stage. Using this kind of signal mapping and digital intelligence, we identify where and how your brand is showing up, what’s being surfaced, and how we can build a plan to improve.


Outcome: A discovery journey model highlighting signal strengths, visibility gaps, and prioritized activation paths to improve discoverability.

3. Go-to-market playbook for the discovery economy

Not just insights. A full GTM strategy that connects your content, UX, and AI discoverability into one cohesive roadmap.

Outcome: An actionable playbook to help you compete where your customers are, not where they used to be.

As you’re planning your growth strategies for 2026, let’s make sure you’re planning for the world that’s coming, not the one that’s fading. Let’s map your path, and build the systems that will make you findable, memorable, and chosen. We’re ready when you are.

Bunger Steel

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