Omnichannel Strategy: Build It Around the Customer, Not the Channel

An omnichannel strategy connects every customer touchpoint, from paid search to in-store, into a single coherent experience where context carries across channels and customers never have to repeat themselves. Done well, it is less a marketing tactic and more a structural commitment to how a business operates.

Most companies are not doing it well. They have multiple channels. They do not have an omnichannel strategy.

I have spent a long time watching brands invest heavily in channel expansion while their customer experience quietly deteriorated. More touchpoints, more friction. More campaigns, more confusion. The problem was never the channels. It was the absence of any connective tissue between them.

What Omnichannel Actually Means

The word gets used loosely. Worth being precise about it.

Multichannel means a business operates across multiple channels. Email, social, paid search, physical retail, a website. Each channel exists. Each channel functions. That is the baseline most organisations have reached.

Omnichannel means those channels are integrated. A customer who browses a product on mobile, abandons it, calls customer service, and then walks into a store is recognised across all three. The service agent knows what they were looking at. The store associate can see their history. The follow-up email reflects where they actually are in the decision, not where the CRM assumes they are.

That distinction sounds obvious written down. In practice, most organisations are nowhere near it. Semrush’s overview of omnichannel marketing captures the gap well: the aspiration is clear, but execution requires data infrastructure, organisational alignment, and consistent measurement that most businesses have not built.

The customer experience hub at The Marketing Juice covers the broader principles behind building experiences that actually retain customers. This article focuses specifically on the structural work required to make omnichannel function in practice, not just in strategy decks.

Why Most Omnichannel Strategies Fail Before They Start

I have worked with clients across retail, financial services, telecoms, and travel. The pattern is consistent. A leadership team decides they need an omnichannel strategy. A consultancy or agency (sometimes mine) is brought in. A framework is built. Channels are mapped. Touchpoints are identified. A beautifully designed customer experience diagram ends up on a wall somewhere.

And then nothing changes, because the data is still siloed, the teams still have separate targets, and no one owns the experience end-to-end.

The failure is almost never strategic. It is structural. The strategy identifies what the experience should feel like. It does not address the fact that the email team, the paid media team, the in-store team, and the CRM team are all measured on different things and share almost no data.

When I was running an agency and we grew from around 20 people to over 100, one of the hardest things to manage was exactly this: different channel specialists developing a kind of tunnel vision around their own metrics. Paid search optimised for ROAS. SEO optimised for organic traffic. CRM optimised for open rates. Nobody was optimising for the customer. The channels were performing. The experience was not.

That is the omnichannel problem in miniature. Fix that and you are most of the way there.

Step One: Audit What You Actually Have

Before building anything, map the current state honestly. Not the ideal state. The actual state.

That means listing every channel a customer can interact with your brand through, including the ones that are not formally managed. A Google Business listing that nobody updates is still a channel. A WhatsApp number a sales rep gave out is still a channel. Customer reviews on a third-party platform are still a channel.

For each channel, document three things: who owns it, what data it captures, and whether that data goes anywhere useful. Most audits at this stage reveal that channels are owned by different teams, data stays within each channel’s platform, and almost nothing is being shared or synthesised centrally.

That audit is uncomfortable. It should be. It tells you exactly how far the gap is between what customers experience and what the business believes they experience.

Step Two: Build the Data Foundation

Omnichannel is a data problem before it is a marketing problem. You cannot personalise across channels if you cannot connect customer behaviour across channels. You cannot connect behaviour if the data lives in separate systems that do not talk to each other.

The infrastructure question is not glamorous. It is also non-negotiable.

A customer data platform, or CDP, is the most common solution here. It ingests data from multiple sources, resolves customer identities across them, and creates a unified profile that other systems can pull from. That unified profile is what makes an omnichannel experience possible. Without it, every channel is working from a different version of the customer.

The Mailchimp resource on omnichannel customer journeys is useful for thinking through how data should flow between touchpoints. The underlying principle is that each interaction should inform the next one, regardless of channel.

One practical note: do not let the perfect be the enemy of the functional. A full CDP implementation takes time and budget. In the interim, even basic integrations between your CRM, email platform, and paid media can create meaningful improvements. Start connecting what you have before investing in new infrastructure.

Step Three: Define the Customer experience Honestly

Customer experience mapping is one of those exercises that gets done badly more often than well. The common failure is building the experience the business wishes customers took, rather than the one they actually take.

Real journeys are messy. A customer might see a social ad, ignore it, search for the product three weeks later, read a review on a third-party site, visit the website, leave, get a retargeting ad, click through, abandon the cart, get an email, and finally convert. Or they might tell a friend, who searches directly and converts in two clicks. Both are real. Neither matches the tidy linear diagram that ends up in the strategy document.

The point of experience mapping is not to impose a preferred path. It is to understand where customers actually drop off, where they get confused, and where the experience breaks down. HubSpot’s work on customer experience personalisation makes the case well: effective personalisation requires understanding the actual experience, not the assumed one.

Map the experience using real data where possible. Session recordings, call centre logs, support tickets, and exit surveys will tell you more than internal assumptions. Look for the moments where customers have to repeat information, where they fall between channels, and where the experience feels like it was designed by a committee rather than for a human being.

Step Four: Prioritise the Highest-Friction Moments

You will not fix every channel simultaneously. Do not try. Prioritise the moments that cause the most damage to customer relationships and commercial outcomes.

In my experience, the highest-friction moments tend to cluster around three areas. The first is channel transitions: when a customer moves from one channel to another and loses context entirely. The second is post-purchase: when the experience drops off sharply after conversion and customers feel abandoned. The third is service escalations: when a customer who has already explained their problem to a chatbot has to explain it again to a human agent.

Each of these is fixable. None of them requires a complete technology overhaul. What they require is a decision to treat the customer’s time and context as worth preserving.

I judged the Effie Awards for a period, which gave me a useful vantage point on what effective marketing actually looks like when it is held to a commercial standard. The campaigns that stood out were rarely the ones with the most channels. They were the ones where every touchpoint reinforced the same thing and moved the customer forward rather than starting from scratch.

Step Five: Align the Organisation Around the Customer

This is where most omnichannel strategies quietly collapse.

Channel teams are typically structured around their own platforms, measured on their own metrics, and incentivised to optimise their own performance. That structure produces channel performance. It does not produce customer experience.

An omnichannel strategy requires some version of shared accountability for the customer outcome. That might mean a shared conversion metric that all channel teams contribute to. It might mean a cross-functional team that owns specific customer journeys end-to-end. It might mean a CX lead with genuine authority to make decisions that cut across channel teams.

BCG’s research on what shapes customer experience points to organisational design as a primary driver of CX quality, not technology, not budget, not channel mix. The businesses that deliver consistently good experiences tend to have clear ownership and aligned incentives. The ones that do not tend to have the opposite.

The broader customer experience thinking at The Marketing Juice returns to this point repeatedly: technology enables good experience, but it cannot substitute for the organisational conditions that make good experience possible in the first place.

Step Six: Personalise Where It Matters, Not Everywhere

Personalisation is the most over-promised element of omnichannel strategy. The vision is a customer who receives exactly the right message, at exactly the right time, through exactly the right channel. The reality is usually a first-name merge tag and a retargeting ad for something they bought three weeks ago.

Effective personalisation is narrower and more useful than the vision suggests. It means recognising a returning customer. It means not showing a product to someone who already owns it. It means surfacing relevant content based on demonstrated interest rather than assumed demographics. It means not sending a win-back campaign to someone who purchased yesterday.

These are not sophisticated. They are basic. And most businesses have not got them right.

AI is increasingly useful here, particularly for pattern recognition at scale. Where it helps most is in surfacing signals that humans would miss across large datasets: identifying which customers are likely to churn, which segments respond to which message types, which moments in the experience are most sensitive to timing. Where it helps least is in replacing the human judgment required to decide what the brand should actually say and how it should say it.

Start with the personalisation that removes friction. Expand from there once the infrastructure is stable enough to support it without creating new inconsistencies.

Step Seven: Measure the Experience, Not Just the Channels

Channel-level measurement is necessary but insufficient. If you only measure channel performance, you will optimise channels at the expense of the overall experience. That is how you end up with an email programme that hits its open-rate targets while driving customers away with volume.

Omnichannel measurement needs to include experience metrics alongside performance metrics. Customer effort score, repeat purchase rate, contact rate after a specific interaction, and time-to-resolution for service issues all tell you something about the experience that ROAS and CTR cannot.

The harder discipline is connecting those experience metrics to commercial outcomes. That connection is what makes the business case for investing in experience rather than just in channel spend. In my time running agencies and managing significant ad budgets across multiple sectors, the clearest predictor of sustainable growth was not channel efficiency. It was whether customers came back without being paid to.

Real omnichannel examples tend to share a common measurement approach: they track the customer across the experience, not just within each channel, and they use that joined-up view to make decisions about where to invest and where to pull back.

The Honest Commercial Case for Omnichannel

There is a version of the omnichannel argument that is essentially about marketing efficiency: reach the right person at the right time and you will spend less to achieve the same result. That is true, and it is a reasonable business case.

But the stronger case is simpler. If a customer has a genuinely good experience with a brand, across every channel they use, at every point in the relationship, they are more likely to stay, more likely to buy again, and more likely to tell someone else. That compounds in ways that paid acquisition cannot replicate.

Most performance marketing captures demand that already exists. It does not create it. The businesses that create demand, that make customers actively want to engage with them again, tend to do it through the quality of the experience rather than the sophistication of the targeting.

Omnichannel strategy, done properly, is one of the few marketing investments that can genuinely move that needle. Not because it adds more channels, but because it makes every existing channel work harder by treating the customer as a single person with a continuous relationship, rather than a series of disconnected sessions to be optimised in isolation.

That is a harder thing to build than a media plan. It requires data infrastructure, organisational alignment, and a willingness to measure things that do not show up neatly in a channel dashboard. But it is also the thing that separates businesses that grow sustainably from those that are permanently dependent on paid spend to prop up a leaky customer base.

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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