Omnichannel Marketing: Why Most Brands Get It Wrong

Omnichannel marketing is the practice of delivering a consistent, connected customer experience across every channel a brand operates, whether that’s email, paid search, social, in-store, or live chat. The channels themselves matter less than the connective tissue between them. When that tissue is missing, customers feel it, even if they can’t articulate why.

Most brands have multiple channels. Far fewer have a genuine omnichannel strategy. The difference shows up in revenue, retention, and the quiet frustration customers experience when they have to repeat themselves for the third time to a brand they’ve been loyal to for years.

What Does Omnichannel Marketing Actually Mean?

The term gets used so loosely that it has nearly lost meaning. I’ve sat in agency pitches where “omnichannel” was used to describe running ads on Facebook and Google simultaneously. That’s not omnichannel. That’s just spending money in two places.

A genuine omnichannel approach means the customer’s experience is continuous across every touchpoint. If someone browses a product on mobile, adds it to a cart, then calls customer service three days later, the person on the phone should know what they were looking at. If a customer redeems a loyalty offer in-store, that shouldn’t trigger an email the next day pushing the same offer they’ve already used. These seem like basic things. They are basic things. But the gap between knowing this and actually executing it is where most brands live.

Mailchimp’s overview of omnichannel customer experience puts it clearly: the goal is to ensure every interaction a customer has with a brand feels connected, not isolated. That’s a useful framing because it shifts the focus from channel management to customer experience design.

If you’re working through the broader question of how customer experience connects to business performance, the Customer Experience hub on The Marketing Juice covers the full landscape, from measurement frameworks to retention strategy.

Why Multichannel and Omnichannel Are Not the Same Thing

Multichannel means being present in multiple places. Omnichannel means those places communicate with each other. The distinction sounds semantic. It isn’t.

I’ve worked with brands that had impressive channel coverage: paid search, social, email, affiliate, display, in-store, and a contact centre. Each channel was managed by a different team, often with different KPIs, different agency relationships, and different data sources. The result was a customer experience that felt like dealing with five different companies wearing the same logo. The email team was optimising for open rates. The paid team was optimising for last-click conversions. Nobody was optimising for the customer.

Semrush’s breakdown of omnichannel marketing strategy draws this distinction well: multichannel is about reach, omnichannel is about coherence. You can have one without the other, and many brands do.

The practical test is simple. Pick a customer experience that crosses two channels, say a customer who clicks a paid ad, visits the site, abandons their cart, and then calls your support line. Does the support agent know what the customer was looking at? Does the retargeting stop once the customer has spoken to someone? Does the follow-up email reflect the conversation that happened? If the answer to any of those is no, you have a multichannel operation, not an omnichannel one.

The Real Barrier Is Organisational, Not Technological

Every conversation about omnichannel eventually turns to technology. CDP platforms, marketing automation, unified data layers. The tools matter, but they’re not the problem most brands think they are.

When I was running an agency and growing the team from around 20 to over 100 people, one of the most persistent challenges wasn’t the work itself. It was getting internal teams to share information across disciplines. Paid search and SEO teams would work on the same client account without talking to each other. Creative and data teams would operate in parallel, producing work that didn’t connect. The client’s internal teams had the same problem, and it showed up in every campaign we ran.

Omnichannel fails for the same reason. You can deploy the most sophisticated customer data platform on the market, but if the email team and the paid team aren’t sharing signals, and if the contact centre isn’t feeding information back into the CRM, the technology is just expensive infrastructure with no strategy attached to it.

BCG’s research on what shapes customer experience identifies organisational alignment as one of the most significant factors in CX quality. The brands that deliver genuinely connected experiences tend to be the ones where teams are structured around customer journeys rather than channel ownership.

The structural fix isn’t complicated to describe. Assign ownership of the customer experience rather than individual channels. Create shared KPIs that reward customer outcomes rather than channel-specific metrics. Make cross-functional briefings a process requirement, not an optional meeting. These things are simple to say and genuinely hard to do inside large organisations with entrenched team structures. But they’re the work.

Data Unification: The Foundation Everything Else Sits On

You cannot deliver a connected experience without a connected view of the customer. This is not a controversial statement. It is, however, one that a surprising number of brands haven’t acted on.

The challenge is that customer data accumulates in different places. Purchase history lives in the ecommerce platform. Email engagement lives in the ESP. Support interactions live in the CRM. In-store behaviour might live in a loyalty programme database. Website behaviour lives in the analytics platform. None of these systems talk to each other by default, and the person responsible for stitching them together often doesn’t exist.

I’ve managed campaigns across accounts where the client had four different definitions of a “customer” depending on which system you were looking at. One system counted anyone who’d ever registered. Another counted active purchasers in the last 12 months. A third counted anyone with a loyalty card. The fourth was a CRM that hadn’t been properly maintained in two years. You can’t personalise to a customer you can’t consistently identify.

The practical starting point is a data audit. Map every system that holds customer data, identify the unique identifier in each (email address, customer ID, loyalty number), and work out where those identifiers overlap. That gives you the skeleton of a unified customer view, even before you invest in a formal CDP or data warehouse solution.

Customer feedback is part of this too. Customer feedback, used systematically, reveals where the experience breaks down in ways that quantitative data alone won’t show. The customer who says “I had to explain my order history three times” is telling you something your analytics dashboard will never surface.

Personalisation at Scale: What It Requires and What It Doesn’t

Personalisation is one of those words that has been stretched so far it now covers everything from “Dear [First Name]” in an email to genuinely dynamic, behaviour-driven content. Most brands are doing the former and calling it the latter.

Real personalisation in an omnichannel context means the message, timing, and channel reflect what you actually know about that customer. Someone who has purchased three times in the last six months should not be receiving the same re-engagement email as someone who bought once eighteen months ago and hasn’t been back. Someone who consistently opens emails but never clicks should probably be reached through a different channel. Someone who has just had a poor customer service experience should not be receiving a promotional push within 48 hours.

HubSpot’s collection of marketing personalisation examples shows what this looks like in practice across different industries and channels. The consistent thread is that effective personalisation is built on behavioural signals, not just demographic data.

Unbounce’s work on using personalisation to win and retain clients makes a useful point: personalisation that feels relevant builds trust, and personalisation that feels intrusive destroys it. The line between the two is usually whether the customer can understand why they’re receiving what they’re receiving. If you’re using data they didn’t knowingly give you, in ways they wouldn’t expect, that’s not personalisation, that’s surveillance with a marketing budget.

The scale question is real. Personalising at the individual level across millions of customers requires automation. Mailchimp’s guide to omnichannel marketing automation covers how automated workflows can deliver relevant, timely communications without requiring manual intervention at every step. what matters is building the logic carefully, because automation amplifies both good and bad strategy equally.

Channel Selection: Follow the Customer, Not the Trend

There is always a channel that the industry is excited about. In the last decade alone, the list has included Snapchat, Pinterest, TikTok, podcasts, connected TV, and now whatever the current AI-adjacent channel happens to be. Each of these has genuine merit in the right context. None of them is automatically right for your brand.

I’ve seen brands chase channel trends in ways that made no commercial sense. A B2B software company investing heavily in TikTok because a competitor had some viral content. A regional retailer building a podcast because their agency told them it was the future of brand building. Neither of these is inherently wrong, but both were wrong for those businesses at that time, because the decision was driven by external noise rather than customer behaviour data.

The question to answer before adding any channel is: where are my customers, and what are they trying to do when they’re there? That sounds obvious. It is obvious. But the number of channel decisions I’ve seen made without that question being asked first is genuinely high.

Channel selection in an omnichannel context also has to account for what you can actually execute well. A brand with a small marketing team that adds five new channels will execute all of them poorly. A brand that focuses on three channels and connects them properly will outperform that fragmented approach almost every time. Fewer channels, better connected, is usually the right answer for most organisations that aren’t at enterprise scale.

Measurement: What Good Looks Like Across Channels

Measuring omnichannel performance is genuinely difficult, and anyone who tells you otherwise is either selling something or hasn’t tried to do it properly. The problem is that most measurement frameworks are built around individual channels, not customer journeys.

Last-click attribution, which is still the default in many organisations, gives all the credit to the final channel a customer touched before converting. In an omnichannel environment, this systematically undervalues the channels that do the earlier work. Brand awareness campaigns, content, social engagement, and upper-funnel paid activity all contribute to the eventual conversion, but they rarely get credit for it. The result is that budget flows toward the channels that close, not the channels that build, and over time the pipeline dries up.

I judged the Effie Awards for a period, and one of the things that stood out was how few entries could demonstrate the full contribution of each channel to business outcomes. The ones that could, and that had built measurement frameworks to show it, were almost always the ones with the strongest results. Not because measurement makes campaigns work better, but because honest measurement tells you what’s actually working and what isn’t, which means you can stop doing the wrong things and do more of the right ones.

A practical starting point is to agree on a small set of customer-level metrics that span all channels: repeat purchase rate, customer lifetime value, time between purchases, and churn rate. These don’t tell you which channel drove what, but they tell you whether the overall experience is working. Layer in channel-specific metrics where they’re genuinely useful, but treat them as inputs to the customer-level view, not as the primary scorecard.

There’s also a case for qualitative measurement that often gets overlooked. Customer feedback as a competitive signal can surface problems with the cross-channel experience that no dashboard will catch. A pattern of customers mentioning that they didn’t realise a promotion applied in-store as well as online is a measurement insight, even if it comes from a free-text survey response rather than a data table.

Omnichannel as a Retention Strategy, Not Just an Acquisition One

Most omnichannel conversations focus on acquisition: how to reach customers across channels, how to create consistent brand awareness, how to attribute the first purchase. The retention side of the equation gets less attention, which is a significant oversight.

A well-executed omnichannel strategy is one of the most effective retention tools available. When a customer feels genuinely understood by a brand, when their history is recognised, their preferences are remembered, and their problems are resolved without them having to repeat themselves, they stay. Not because they’ve been locked in, but because the experience of leaving and starting over somewhere else isn’t worth it.

I’ve held a view for a long time that marketing is often used as a blunt instrument to prop up companies with more fundamental problems. If the product is poor, if the service is inconsistent, if the customer experience is fragmented, no amount of acquisition spend will fix the underlying issue. You’ll keep filling a leaking bucket. Omnichannel done properly addresses the leak. It makes the experience good enough that customers don’t need to be constantly re-acquired.

The economics are straightforward. Retaining an existing customer costs less than acquiring a new one. A customer who has a consistently good experience across channels is more likely to increase their spend over time, more likely to refer others, and less likely to be swayed by a competitor’s promotional offer. These are not soft benefits. They show up in the P&L.

The full picture of how customer experience connects to commercial outcomes, from retention metrics to loyalty strategy, is covered across the Customer Experience section of The Marketing Juice. If omnichannel is the operational framework, customer experience is the outcome it’s designed to produce.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

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