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July 18, 2026

Home | User Engagement

Omnichannel Customer Engagement in 2026: Why Most Strategies Still Fail

James Mitchinson

James Mitchinson

Head of Customer Success

Omnichannel Customer Engagement in 2026: Why Most Strategies Still Fail
CONTENTS
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    Omnichannel customer engagement can mark the difference between retaining customers long-term and constantly grappling with silent churn from users who slip through the cracks of your supported channels. Companies with best-in-class omnichannel programs had a customer retention rate of 77%, more than double the 35% average for other companies analyzed in the same Aberdeen Group study by Omer Minkara.

    Despite this gap, Gartner reported that 50% of large organizations have failed to unify engagement channels, resulting in a disjointed and siloed customer experience that lacks context. The solution isn’t simply to add more channels but to ensure that every customer’s context is carried across channels rather than being reset every time they switch to a different channel. This guide will show you why omnichannel produces better outcomes, how to build an omnichannel engagement strategy, real examples worth studying, and pitfalls to avoid!

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    Why omnichannel customer engagement produces better outcomes

    The fact that omnichannel programs retain customers at more than double the rate of the competition isn’t purely a result of having wider coverage, but of storing context and increasing customer lifetime value.

    omnichannel-customer-retention
    Aberdeen Group’s Omer Minkara found that best-in-class omnichannel programs had a customer retention rate of 77%.

    Two main factors enable omnichannel engagement to improve incomes:

    1. Retention compounds when context doesn’t reset: A customer files a support ticket, gets a follow-up email referencing it, and then sees an in-app tooltip tied to the same issue instead of another generic onboarding nudge that doesn’t understand the issue they’re facing. That recognition compounds into customer loyalty while the absence of context silently erodes user trust.
    2. Cross-channel customers spend more (and more often): Harvard Business Review’s study of 46,000 shoppers found that omnichannel customers spend 10% more online and 4% more in-store than single-channel shoppers and take 23% more repeat shopping trips within six months. The Starbucks Rewards flywheel is the simplest version of that dynamic in the wild, allowing customers to order on their app and pick up in-store but earn points nonetheless (before later receiving push notifications to spend those points).

    How to build an omnichannel customer engagement strategy

    Building an omnichannel customer engagement strategy is by no means easy, but at the very least, it’s a tried and tested process with an established sequence of six key steps.

    1. Start where customers already are

    Instead of trying to be everywhere at once, figure out which channels your customers already use before you invest in new ones. This is the first real decision in any omnichannel customer engagement strategy. Gerard Masnou, Head of Support and Operations at Cledara, learned this lesson when they switched to Userpilot’s in-app messages after email had stopped moving the needle:

    “Within a week, we were able to register several dozen companies already saying they’re interested in the new feature. With email, you’d get the same number of responses within two months.”

    Welcome surveys built with Userpilot help you identify a user’s channel preference from day one, allowing segmentation to start immediately instead of weeks or months down the line.

    Create welcome surveys with Userpilot and learn more about new users.
    Welcome surveys reveal where customers want to be reached.

    2. Map the journey to find where context breaks

    Customer journey mapping is crucial to finding where context gets dropped.

    customer-journey-context
    Map the customer journey to identify gaps where context resets between channels.

    The usual breakpoints for SaaS teams are web to live chat (where the agent starts from scratch), email to in-app (where the customer sees a generic modal instead of a message that references what they clicked), and trial to onboarding (where behavior from the trial never informs the sequence that follows). Map those transitions and flag every friction point where a customer would have to re-explain themselves.

    3. Unify customer data before adding channels

    Brands often launch new channels before they’ve unified their customer data, creating more silos in the process. Every channel that doesn’t read from a shared customer profile is yet another place where customers have to start over. Solving this in practice could look like syncing data between Userpilot’s HubSpot integration and native user segmentation capabilities so that the in-app experience is no longer decoupled from sales lifecycle stages.

    userpilot hubspot integration
    Pushing HubSpot data into Userpilot ties in-app behavior to sales context instead of treating them separately.

    4. Segment by behavior, not demographics

    Persona-based segments produce generic messages while behavioral segmentation (built from features used, friction flagged in session replay, and survey responses) lets a team trigger the right messages at the right moments. Joe Cano, SVP of Digital at Lowe’s, treats physical and digital stores as one connected surface with different customer segments rather than separate channels competing with each other:

    “Marketplace isn’t a side initiative, it’s a core growth engine for Lowe’s. Together with our sellers, we’re expanding our aisle beyond the four walls of our stores, accelerating online sales, and delivering the choice, convenience, and value our customers expect in a connected world.”

    Userpilot’s in-app survey library and behavioral event tracking give SaaS teams the behavioral signals they need to make omnichannel engagement feel contextual and relevant.

    userpilot-event-tracking-GIF
    Userpilot’s event tracking lets you monitor product usage and identify behavioral patterns that help segment your users.

    5. Trigger flows from behavior, not calendars

    The highest-performing omnichannel programs fire messages based on what customers do rather than going by scheduled send dates. A user who just finished using a key feature should get a different email than one who dropped off in the middle of onboarding, with the in-app experience adapting to the event that occurred and the email that was sent as a result. Userpilot’s real-time email triggers are fired from in-app behavioral events, which makes that two-way line of communication possible without having to integrate a separate email platform.

    Set up real-time email triggers in Userpilot.
    Behavioral triggers ensure customers receive emails that actually reflect what they just did in the product.

    6. Measure journeys, not channels

    A team could have climbing engagement rates and healthy email open rates but have flat retention or even rising churn. Channel-level KPIs won’t catch that but journey-level metrics like time to value, cohort retention, customer effort score, and cross-channel conversion rates will. In fact, McKinsey found that 67% of customers say they become frustrated when their interactions with a business aren’t tailored to their needs.

    channel-kpis-vs-journey-metrics
    Channel-level KPIs miss the critical insights that only journey-level metrics (such as TTV or cohort retention) can surface.

    Omnichannel customer engagement examples worth studying

    While omnichannel customer engagement will vary by company, audience, and platform, there are still some examples worth studying so you can apply the same strategies to your own use case.

    Starbucks

    Starbucks ties app orders, in-store purchases, and email rewards to a single customer profile for their loyalty program. A customer earns the same points whether they order through the app or pay over the counter. As a result, Starbucks’ marketing messages can reflect the customer’s complete purchase history rather than making guesses to fill in the gaps that would otherwise be left by brick-and-mortar purchases.

    starbucks-rewards
    Source: Starbucks

    Lowe’s

    Lowe’s turns an in-store QR code into a digitized project-planning experience, then brings the customer back in person for the next phase of the project. This extends the aisles beyond the physical boundaries of their retail locations and meshes their online infrastructure with the physical shopping experience.

    lowes-qr-purchase
    Source: Lowe’s

    Nike

    Nike store associates can see a customer’s online browsing history and check stock at nearby locations in real time. If a size isn’t on the shelf, they can have it shipped over from another store. This ensures the handoff from browsing online to walking in never ends with a “we don’t have your size” moment for the customer.

    nike-spotlight
    Source: Nike

    Sephora

    Sephora’s Beauty Insider program links in-store purchases, app activity, and browsing history into a single member profile. Associates can then open every conversation with a customer’s purchase history already visible and begin recommending based on what they’ve already tried rather than going back to square one.

    sephora-beauty-insider
    Source: Sephora

    Omnichannel engagement pitfalls to avoid

    Failing to unify your data can create a fragmented omnichannel stack with siloed context. This is just one of four pitfalls you must avoid when deploying an omnichannel strategy.

    unified-channel-architecture
    Unified channel architecture ensures that all channels feed the same customer record rather than keeping a compartmentalized log with limited data.
    1. Adding channels before unifying the data: Most brands aren’t failing from too few channels, but because each new channel sits on isolated data. Adding a chatbot, SMS program, or push notification without connecting it to a shared customer profile just creates another touchpoint where the customer has to explain the same thing all over again.
    2. Using the same message on every channel: Omnichannel customer engagement doesn’t mean broadcasting an identical message everywhere. Email carries transactional communications, in-app messaging delivers contextual guidance, and push notifications provide instant access to urgent messages. However, the brand voice must always be consistent.
    3. Skipping the in-app messaging channel: For SaaS teams, in-app is often the highest-leverage channel because it can reach a customer during their session rather than after the fact. This is the same reason why in-app surveys typically get higher response rates than email surveys.
    4. Measuring channels instead of journeys: It’s not uncommon to see in-app engagement climbs and email open rates holding steady, but retention rates stagnating or declining. Measuring outcomes that span channels is what actually shows whether the whole journey is working, whereas channel-specific KPIs only give you one piece of the picture.

    Turn omnichannel customer engagement into retention, not just reach

    The evidence for omnichannel customer engagement is consistent enough that the real question isn’t whether it works, but whether your customer profile can travel with users whenever they switch channels. The SaaS teams I’ve watched get this right don’t start by launching more channels but by connecting the ones they already have. Behavioral data is the key to closing the gap between what customers do inside the product and how they’re reached elsewhere.

    Userpilot was built to extract behavioral signals from your product and turn them into contextual engagement across channels. Book a demo to see how behavioral personalization and omnichannel engagement come together to improve your customer retention rates!

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    About the author
    James Mitchinson

    James Mitchinson

    Head of Customer Success

    James Mitchinson is Head of Customer Success & Delivery at Userpilot, where he helps SaaS teams turn onboarding and customer education into a true growth engine. With deep experience leading CS and implementation teams, he’s passionate about using data and AI to make every customer interaction faster, smarter, and more human.

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