Customer lifecycle marketing for retail

00:00 Why Timing and Customer Intent Matter

Hello, Patrick Murray here, Senior Director of Strategy and Client Growth at Listrak. In this session, I'm going to talk about the importance of recognizing buying intent signals from your customers, unifying your customer data so you can use it across your delivery channels, and adding personalization to different touchpoints throughout the customer lifecycle.

Ferris Bueller said it best back in 1986: "Life moves pretty fast." Well, in 2026, it's moving at lightning speed. I'd encourage everyone to stop, take a look at all of your automated campaigns, and make sure you're communicating with customers in a way that reflects how they're shopping today and how they expect brands to engage with them. It's no secret that consumers expect brands to respond immediately. People have short attention spans. They want things right away, and they want personalized experiences.

When you're optimizing your behavior-based triggered journeys and customer lifecycle messaging, there are a few key components to consider. First, recency rules. One of the strongest intent signals you can recognize is how recently and frequently someone is engaging with your brand. How often are they returning to your website? How frequently are they engaging with your messages? How recently did they subscribe? How long has it been since their last purchase? These are all important signals that can have a significant impact on the performance of your abandonment, post-purchase, and other behavior-based triggered campaigns.

01:36 Identity Resolution and Connected Customer Data

All of these buying intent signals are only valuable if you can identify the shoppers behind them and connect that activity to an actual person. That's why identity resolution matters more today than ever before. As we all know, it's becoming increasingly difficult to identify shoppers because of cookie consent requirements, other regulations, and people browsing in incognito or private modes. So every opportunity you have to collect first-party data is extremely important.

Another challenge is fragmented customer data. There are a number of vendors and platforms that can help retailers create valuable experiences on their websites and throughout the shopping journey. But when that data lives in separate silos, it limits your ability to act on customer behavior and deliver real-time triggered automations. The result can be a disconnected customer experience, along with missed opportunities to improve conversions and revenue. Bringing that information together gives you a more complete understanding of your customers and allows you to respond to their behavior with more relevant, timely messaging across channels.

02:39 Personalizing Journeys for Different Customer Segments

Once you have all this customer data connected and you're optimizing your campaigns, the next question is how you're communicating with different customers. Not all customers are the same, and what's right for one brand or retailer may not be right for another. But more often than not, retailers are treating all their customers the same way when it comes to behavior-based and lifecycle journeys.

The good news is that optimizing these journeys using the wealth of customer data you already have doesn't have to be difficult. There are several opportunities I'd encourage you to start testing right away. For example, should you treat existing customers the same way you treat prospects? Should your high-lifetime-value customers receive the same messages as someone who's only purchased once? And should you approach a shopper considering a high-ticket purchase the same way you approach someone buying a lower-cost impulse item?

Think about your in-store customers, too. Should someone who shops and purchases in-store receive the same messaging as an online customer? What about shoppers who purchase both online and in-store? Are there unique offers or content that would be more relevant to each of those groups? All of this information is already available within your CRM and, specifically, within Listrak. You have opportunities to personalize your messaging through dynamic content or by splitting journeys based on different customer segments. That allows you to see how different customer groups move through your journeys and deliver experiences that are more relevant to their behavior and preferences. It's an opportunity that's often underoptimized and underutilized, and I'd highly encourage everyone to take another look at how they're segmenting and personalizing their automated campaigns.

04:18 Coordinating Onsite, Mobile, and Email Experiences

Another important part of winning the moment, when customer intent is highest, is understanding how to orchestrate your messaging across channels and which channels to prioritize.

First and foremost, I would prioritize optimizing the onsite experience. You can identify shoppers arriving from different traffic sources using URL parameters or the campaigns you're running. If someone clicks through from a social or affiliate campaign featuring a specific offer, make sure the experience they see when they land on your website reflects that offer. The same goes for shoppers coming from email or SMS. If you know they have loyalty points available or an affinity for a particular brand or category, you can personalize landing pages, banners, popups, and other onsite experiences based on what you already know about them. And then there are the basics. If shoppers have items in their carts that qualify for free shipping, use progress bars or other onsite messaging to show how close they are to reaching that incentive. These are opportunities to help customers move toward a purchase while they're still actively shopping.

Next, if you're a retailer with a mobile app, I would prioritize app push notifications. Customers shopping in your app are traditionally some of your most loyal and highest-value customers. They're often highly engaged with email and SMS as well, but as app adoption grows, we're seeing more shoppers shift toward engaging directly through the app as their preferred channel. So my first priority would be onsite optimization, followed by your app experience and app push messaging.

Third, I would prioritize SMS and RCS. These channels offer some of the fastest response times and speed to conversion, making them particularly valuable when you want to reach customers while their purchase intent is still high. And then there's email, which continues to be the workhorse of your marketing program. Email gives you the largest audience to retarget and reengage, along with a much bigger canvas for merchandising, personalization, and creating compelling experiences. For many retailers, it's driving upwards of 25% of revenue.

Email also has a longer tail. You're not necessarily disrupting someone's day by sending a relevant email a few days after they've taken an action on your website. It allows you to continue the conversation after the more immediate opportunities through onsite experiences, app push, and mobile messaging have passed. The key is understanding how these channels work together and using each one at the right moment to create a more connected customer experience.

06:54 Optimizing Abandonment Timing to Improve Conversions

As I mentioned earlier, customers expect brands to respond immediately. When you delay your messaging or deliver generic marketing, you're potentially missing revenue opportunities. Let's walk through a shopping cart abandonment example and some testing and optimization recommendations that I would encourage most retailers to consider.

Across the majority of clients I work with, cart abandonment triggers typically have a session timeout set at 30 minutes. That's generally what I recommend, particularly for email, because recency rules. Shoppers who abandon their carts are often comparing products and prices across competing websites, so you want to get your message in front of them as quickly as possible, within reason. But 30 minutes isn't necessarily right for everyone, and it's something that often goes untested. For years, retailers have treated behavioral triggers, particularly cart abandonment, as set-it-and-forget-it campaigns. I want to challenge that thinking.

These automated campaigns can account for 30%, 40%, or even 50% of your overall CRM revenue. Yes, they're always running, and you don't have to manually schedule each message. But that doesn't mean you should stop optimizing them. You should be actively testing both the session timeout and the timing of your first message. For example, have you tested sending a cart abandonment message after 30 minutes versus one hour? What about testing different timing for specific customer segments? Someone considering a high-value purchase might benefit from a little more time before receiving a reminder. Would waiting one or two hours improve conversion rates or help recover more carts? Or is 30 minutes still the most effective approach? Test different timings across your campaigns and within different customer segments to find out what works best.

Here's why this matters. Most retailers are recovering somewhere between 3% and 5% of abandoned carts. If you're able to identify 50% to 60% of those abandoned carts, think about how much revenue your cart abandonment program is already generating. Now imagine improving your recovery rate by just a few percentage points. What would it mean for your business to move from 3% to 6%, or from 5% to 7%, 8%, or even 9%? Those improvements can translate into meaningful incremental revenue. And the opportunity doesn't necessarily require a complete overhaul of your program. Testing and adjusting the timing of your messages can be a relatively simple place to start.

09:50 Testing and Optimizing Behavioral and Lifecycle Journeys

And don't stop at shopping cart abandonment. There are behavior-based triggers and time-based events happening throughout the customer lifecycle that offer similar opportunities for optimization. Think about shoppers browsing category or collection pages and leaving, customers viewing specific products without purchasing, or the post-purchase journeys you're sending today. Different customer segments purchase at different frequencies, and different products need to be replenished at different intervals. Don't just send a win-back message at 90 days to every customer. Break those journeys down based on what people have purchased, their most recent product or category purchase, and their individual repurchase patterns. Adjust your settings and test different wait times between messages. Timing is a relatively easy optimization that's often overlooked, and I encourage everyone to take another look at it.

Let me show you how simple some of these changes can be in Listrak Journey Hub. In the cart abandonment trigger event, for example, the session timeout is a field you can adjust to whatever increment you'd like. You could run a campaign for a certain period of time, change the timing, and compare the results. Or you can add a random split immediately after the trigger event. Let's say everyone enters the journey after a 30-minute session timeout. You could send 50% of those shoppers down a path that delivers the first message immediately, while the other 50% receive that message after an additional 15 or 30 minutes.

You can also test different customer segments. By adding a segment split in Journey Hub, you can take predefined audiences within Listrak and send them down different paths based on what you know about them. And the wait steps are just as easy to adjust. You can set them by minutes, hours, or days, allowing you to test different intervals between messages throughout a journey. I encourage you to test these timing variations across different campaigns and customer groups to understand what drives the best results.

But don't stop there. Think about all the other platforms and applications retailers use to improve the shopping experience and engage customers throughout their lifecycle. Often, valuable information from those systems lives in separate silos. When you integrate that data with the message engagement, purchase history, and browsing behavior already available in Listrak, you can improve personalization, expand your reach, and trigger more relevant messages at the right time.

Loyalty is one area I'd prioritize. Loyalty points are valuable to customers and retailers alike. But if that information isn't available in Listrak, you lose opportunities to remind customers about their points, encourage redemption, and help them progress through different loyalty tiers. Mobile app activity is another important source of data, especially because app shoppers are often high-value customers. If those signals aren't connected to your CRM, you could miss opportunities to reach email and SMS subscribers who browse products, abandon carts, or show interest in items that come back in stock while shopping in your app.

The same thinking applies to ratings and reviews, subscription services, shipping, and returns. For example, you may have customers who purchase frequently but also return products frequently. That information could help you personalize post-purchase messaging, recommend products that might be a better fit, or connect shoppers with customer service experts who can guide their next purchase. Even buy now, pay later activity can provide useful insights. If you know a customer prefers purchasing through one of those services, you can use dynamic content to remind them that the option is available and encourage another purchase. The more of this information you can bring together, the more opportunities you have to create personalized, timely experiences throughout the customer journey.

14:49 Prioritizing Your Next Marketing Improvements

I know that's a lot of information, and when you stop and look at all your campaigns and automated journeys, it can feel overwhelming. So where should you start? First and foremost, take a look at acquisition. Acquisition is what helps drive identity resolution, which is essential for recognizing the behavioral signals your customers are giving you as they shop. I'd make optimizing your mobile entry popup the number one priority. More than 80% of website traffic is coming from mobile, and that entry popup is your gateway to collecting first-party data and building a more complete customer profile.

Next, identify your most valuable customer segments. Think about your business and which groups represent the greatest opportunity. That might be your high-lifetime-value customers, shoppers with an affinity for a particular brand or category, or customers who have only purchased once. If 60% to 80% of your customers are one-time buyers, for example, that's an important segment to address. Think about how you can communicate with them differently and encourage that second purchase. As you grow your repeat-purchase customer base, you're also creating opportunities to increase customer lifetime value.

Then, coordinate your messaging across channels, starting with the onsite experience. I'd prioritize acquisition and conversion rate optimization while shoppers are still on your website. That's your opportunity to engage them immediately, without the delay that comes with sending a follow-up message. Once they leave your website, look at how app push notifications, SMS, RCS, and email can continue the conversation through triggered campaigns.

And finally, challenge the status quo. The way people shop in 2026 isn't the same as it was in 2020 or 2022, yet many retailers haven't revisited or optimized their behavioral triggers in several years. Make sure you're reaching customers with the messages they're most interested in, at the right time, with relevant content delivered through their preferred channels. Customers expect immediate, personalized responses, and your automated journeys should reflect those expectations. Don't assume that what worked a few years ago is still the best approach today. Keep testing to understand what works for your customers.

16:43 Using Real-Time Integrations to Activate Customer Data

Listrak has robust Real-Time Integrations capabilities, whether you're connecting data through APIs, webhooks, or even flat files when that makes sense for your business. The important thing is bringing that information into Listrak so you can act on it through audience segmentation, behavior-based triggers, and more personalized messaging. It also gives you opportunities to improve message timing and create a more cohesive customer journey.

You want your brand voice to remain consistent across every touchpoint, with product recommendations and other personalized content updated and reflected appropriately throughout your campaigns. There's tremendous value in connecting that customer data and putting it to work across channels. And one final recommendation: ask for help.

This can be a heavy lift if you're trying to do everything on your own. Listrak has excellent Client Success Managers and Digital Marketing Strategists, along with a network of agency partners we'd be happy to recommend. If you have a smaller team or need additional support executing these strategies across your campaigns, there are resources available to help you do that work.

That covers everything from recognizing buying intent signals to responding with more timely, personalized experiences that help increase conversions. Thank you for listening, and have a great day.