Omnichannel Growth: Why Most Brands Are Executing It Backwards

Omnichannel growth happens when every customer-facing channel reinforces the same experience, the same value, and the same brand promise, regardless of where the customer shows up. It is not about being everywhere. It is about making every touchpoint work harder because it connects to something larger.

Most brands get this backwards. They build channels first and try to connect them afterwards. That sequencing is why so many omnichannel programmes deliver fragmented experiences despite significant investment, and why growth stays stubbornly flat even when reach expands.

I spent a good part of my agency career watching clients invest heavily in channel expansion while their customer experience quietly deteriorated. More touchpoints, more spend, flatter growth. The channels were not the problem. The experience connecting them was.

What Omnichannel Growth Actually Means

There is a persistent confusion in the industry between integrated marketing and omnichannel marketing. They are related but not interchangeable. Integrated marketing is about message consistency. Omnichannel is about experience continuity. You can have one without the other, and many brands do.

Omnichannel growth, specifically, means that as you add or optimise channels, the cumulative customer experience improves in a way that drives retention, referral, and lifetime value. It is growth that compounds because each channel strengthens the others. That is a materially different objective from simply increasing reach or maintaining brand consistency across formats.

When I was running iProspect, we grew the team from around 20 people to over 100 and moved from the bottom of the market to a top-five position in the UK. A lot of that growth came from helping clients think about their channels as a system rather than a portfolio. The ones who grew fastest were not the ones with the most channels. They were the ones who understood what each channel was supposed to do for the customer, and built accordingly.

For a broader framework on what this looks like in practice, the Customer Experience hub covers the strategic principles that underpin effective omnichannel work, including measurement, technology, and the organisational dynamics that either support or undermine it.

The Channel-First Trap

Most omnichannel programmes start with a channel audit. Which platforms are we on? Where are our competitors? What are we missing? That is a reasonable starting point for a media plan. It is a poor starting point for a growth strategy.

The problem is that channels are visible and measurable. Customer experience is harder to quantify. So teams default to what they can count: impressions, reach, cost per click, share of voice. The experience that connects those channels, the thing that actually drives retention and lifetime value, gets treated as someone else’s problem. Often, it belongs to no one.

I have seen this dynamic play out across sectors. A financial services client once came to us with a brief to improve their digital performance. They wanted better paid search results and a stronger social presence. What they actually had was a customer onboarding process that took eleven days and a customer service function that could not access the same data their digital team was using. No amount of media optimisation was going to fix that. Marketing was being used as a blunt instrument to prop up a more fundamental problem.

The common challenges in omnichannel marketing are well documented, but the most persistent one is organisational rather than technical. Teams are structured around channels, not customers. That means the customer’s experience of moving between channels is nobody’s primary responsibility.

Where Customer Experience and Channel Strategy Intersect

Customer experience has multiple dimensions that operate simultaneously, and understanding them changes how you think about channel strategy. The functional dimension covers whether the channel works. The emotional dimension covers how the customer feels using it. The contextual dimension covers whether it fits the moment the customer is in. Miss any one of these and the channel underperforms regardless of how well it is targeted or how much you spend on it.

This is explored in more depth in the piece on the three dimensions of customer experience, which is worth reading alongside any omnichannel planning process. The frameworks there are directly applicable to channel design decisions.

The practical implication is that channel selection should follow customer behaviour, not category convention. What channels your competitors use is data. What channels your customers actually use to make decisions, resolve problems, and build trust is strategy.

Early in my career, I was handed a whiteboard pen mid-brainstorm for a Guinness brief when the agency founder had to leave for a client meeting. The brief was about connecting on-trade and off-trade experiences, which was an omnichannel problem before anyone called it that. The instinct in the room was to treat the pub and the supermarket as separate channels with separate campaigns. What we eventually landed on was a story that worked because of the contrast between them, not despite it. The channels were different. The experience was continuous.

Data Is the Architecture, Not the Decoration

Every serious omnichannel programme eventually runs into the same structural problem: customer data is siloed. The CRM does not talk to the ecommerce platform. The loyalty programme does not connect to the in-store system. The paid media team is optimising against one dataset while the email team is working from another.

This is not a technology problem, though technology can solve it. It is a strategic priority problem. Unified customer data is unglamorous infrastructure work. It does not generate case studies or award entries. But without it, personalisation at scale is not possible, and omnichannel growth stalls.

The current state of customer experience personalisation reflects this tension. The tools for delivering personalised experiences across channels have improved significantly. The organisational willingness to invest in the data infrastructure that makes personalisation meaningful has not kept pace.

When I was managing hundreds of millions in ad spend across thirty-plus industries, the clients who got the best returns were almost always the ones who had invested in data architecture before they invested in channel expansion. Not because data is more important than channels, but because without a coherent view of the customer, you are optimising channels in isolation. You are making each one slightly better while the system stays broken.

For sector-specific context, the food and beverage customer experience is a useful case study in how data complexity compounds when you are operating across retail, foodservice, and direct-to-consumer simultaneously. The data challenges there are representative of what most multi-channel businesses face, just with more visible consequences when things go wrong.

The Role of Retail Media in Omnichannel Growth

Retail media has changed the omnichannel equation in ways that many brands have not fully absorbed. When a retailer’s digital shelf becomes an advertising channel, the boundary between media and commerce dissolves. A customer can see a sponsored product, read reviews, compare alternatives, and complete a purchase without leaving the platform. That is not a funnel. It is a loop.

The best omnichannel strategies for retail media treat the retailer’s ecosystem as an extension of the brand’s own experience architecture, not as a separate media buy. That requires a different kind of collaboration between brand teams, trade marketing, and media agencies than most organisations are currently structured to support.

The broader omnichannel ecommerce picture is also shifting. Omnichannel ecommerce now encompasses everything from social commerce to in-store digital integration, and the brands growing fastest are those treating each of these as connected commerce moments rather than separate channel experiments.

I have judged the Effie Awards, and the entries that consistently stand out in commerce categories are not the ones with the most sophisticated technology. They are the ones where the brand has genuinely understood where the customer is making decisions and built the experience around that moment. Retail media is increasingly where those decisions happen. Brands that treat it as a line item rather than a strategic channel are leaving growth on the table.

AI in Omnichannel: The Governance Question

AI has moved quickly from a theoretical capability to an operational reality in omnichannel marketing. Personalisation engines, dynamic content, predictive routing, automated customer service responses: these are live deployments in businesses of all sizes, not pilot programmes.

The question most teams are not asking clearly enough is what kind of AI they are deploying and who is responsible for what it does. The distinction between governed AI and autonomous AI in customer experience software matters more than most procurement processes acknowledge. Governed AI operates within defined parameters and escalates decisions above a threshold. Autonomous AI makes decisions independently. Both have legitimate uses. Conflating them is how brands end up with customer experiences that no one deliberately designed.

The broader omnichannel marketing landscape is increasingly shaped by AI-driven personalisation, but the brands getting the best results are those with clear governance frameworks around what AI is authorised to do and what requires human review. That is not a technology decision. It is a brand decision.

My view on this is straightforward. AI is a tool that amplifies your existing strategy. If your strategy is coherent and your data is clean, AI makes omnichannel execution faster and more precise. If your strategy is unclear and your data is fragmented, AI makes the mess bigger, faster. The technology does not fix the underlying problem. It accelerates whatever is already there.

Measuring Omnichannel Growth Without False Precision

One of the persistent frustrations in omnichannel measurement is that the metrics that are easiest to collect are not the ones that matter most. Click-through rates, cost per acquisition, return on ad spend: these are channel-level metrics. They tell you how individual channels are performing. They do not tell you how the system is performing.

Omnichannel growth requires system-level metrics. Customer lifetime value. Retention rate by acquisition channel. Share of wallet over time. Net Promoter Score by touchpoint. These are harder to collect and harder to attribute, but they are the metrics that actually reflect whether your omnichannel programme is creating compounding value or just adding cost.

The search personalisation dimension adds another layer of complexity. Search engine personalisation means that two customers searching the same term may have materially different experiences of your brand before they even reach your owned channels. That is an omnichannel reality that most measurement frameworks do not account for.

I am sceptical of any omnichannel measurement model that claims to solve attribution completely. The honest position is that you are working with approximations, not certainties. The goal is not perfect measurement. It is honest approximation, where you understand the limitations of your data and make decisions accordingly rather than treating incomplete data as complete.

Customer success enablement is the operational side of this. Customer success enablement frameworks connect the measurement of customer outcomes to the processes and people responsible for delivering them. Without that connection, measurement stays theoretical. With it, you have a feedback loop that actually improves the programme over time.

Building an Omnichannel Programme That Actually Grows

The brands that consistently grow through omnichannel share a few characteristics that have nothing to do with their technology stack or their media budget.

First, they start with the customer’s experience and work backwards to channel design. They know what their best customers do, where they go, what they need at each stage, and what would make them stay longer and spend more. Channel decisions follow from that understanding, not the other way around.

Second, they have someone who owns the cross-channel experience. Not a channel owner. Not a media planner. Someone whose job is to ensure that moving between channels does not degrade the experience. This is a structural decision, not a process fix.

Third, they invest in the infrastructure that makes personalisation possible before they invest in personalisation itself. Data architecture, identity resolution, consent management: none of this is exciting. All of it is foundational.

Fourth, they treat customer feedback as a live input rather than a periodic report. Social channels, including Instagram, have become meaningful feedback mechanisms for brands that know how to listen. The signal is there. Most brands are not structured to act on it quickly enough.

The omnichannel marketing trends that have proven durable are not the ones driven by new technology. They are the ones driven by a clearer understanding of what customers actually want from each channel and a genuine commitment to delivering it consistently.

If there is one thing I have learned running agencies and managing large-scale marketing programmes, it is that the businesses that genuinely delight customers at every opportunity rarely need to spend as much on acquisition as the ones that do not. Marketing is most powerful when it is amplifying something real. Omnichannel growth, at its best, is what happens when you build the experience first and let the channels serve it.

The full scope of what makes customer experience a strategic growth driver, not just a service function, is covered across the Customer Experience hub, including the frameworks, tools, and organisational models that support this kind of programme at scale.

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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