Multichannel Marketing Trends That Change Your Channel Mix

Multichannel marketing trends in 2026 are less about discovering new channels and more about deciding which ones you can actually afford to run well. The brands pulling ahead are not the ones present on every platform. They are the ones that have made deliberate choices about where attention lives, how channels interact, and what a connected customer experience actually costs to deliver.

Most of the noise in this space is channel-level. The more useful conversation is structural: how your channel mix supports growth, how channels reinforce each other, and how you measure the whole thing without fooling yourself.

Why Most Multichannel Strategies Underperform

When I was running agencies, I watched brands add channels the way some people add subscriptions. Enthusiastically at first, then without much scrutiny, then with a growing sense that something is not delivering but an inability to say exactly what. The channel mix kept expanding. The accountability for each channel kept shrinking.

The problem is not multichannel marketing itself. The problem is that most businesses treat it as a presence strategy rather than a performance architecture. Being on six channels is not a strategy. Having a clear theory of how those six channels interact to move a customer from unaware to purchasing, that is a strategy.

Multichannel underperformance almost always traces back to one of three things: channels selected for trend reasons rather than audience reasons, no coherent sequencing between upper and lower funnel, or attribution models that flatter the channels with the most obvious last-touch signals. Often all three at once.

If you are thinking about this in the context of a broader go-to-market build, the Go-To-Market and Growth Strategy hub covers the structural decisions that sit upstream of channel selection, including how to sequence investment as you scale.

The Demand Creation Problem Nobody Talks About

Earlier in my career, I was deeply invested in lower-funnel performance. Paid search, shopping, retargeting. The numbers looked clean. The attribution was tidy. The ROI stories were compelling. I believed most of it.

It took a few years of managing P&Ls, watching what happened when brands cut upper-funnel spend, and sitting on Effie judging panels reviewing what actually drove business results, to form a more honest view. A significant portion of what performance marketing gets credited for was going to happen anyway. Someone who already wanted to buy your product searched for it. You captured the conversion. The channel got the credit. The underlying demand was built somewhere else, or already existed.

This is not an argument against performance marketing. It is an argument for understanding what it actually does. Performance channels are efficient at closing. They are weak at creating. If your multichannel strategy is weighted almost entirely toward lower-funnel channels, you are harvesting a field you are not planting.

The brands that grow consistently are the ones reaching people who did not know they needed the product yet. That requires channels with genuine reach into new audiences, not just channels that find people who are already in-market. Vidyard’s analysis of why go-to-market feels harder touches on exactly this tension: the mechanics of demand capture have become more sophisticated while demand creation has become harder to justify internally.

The Channels Restructuring Mid-Funnel Attention

Three channel categories are genuinely reshaping where and how mid-funnel consideration is built right now. None of them are new. All of them have matured enough to be worth taking seriously in your planning.

Retail Media Networks

Retail media has moved from a tactical add-on to a structural part of the channel mix for consumer goods brands. The proposition is straightforward: reach buyers at or near the point of purchase, with targeting based on actual transaction data rather than modelled behaviour.

The more interesting development is offsite retail media, where retailer audience data is used to target people across the open web, connected TV, and social platforms. That is a meaningful shift. It means you can use purchase-intent signals to drive awareness and consideration activity, not just sponsored listings on a retailer’s own site.

The caution here is the same one I would apply to any channel with strong commercial incentives to show impressive numbers. Retail media attribution is often retailer-controlled, and the measurement methodology varies significantly between networks. Treat the reported numbers as a starting point for scrutiny, not a conclusion.

Connected TV

Connected TV has become a legitimate mid-funnel channel for brands that previously could not afford or could not target effectively through linear television. The targeting capabilities, particularly household-level and interest-based, are meaningfully better than broadcast. The measurement is still imperfect, but it is improving.

What makes CTV interesting strategically is the combination of lean-back attention with increasingly precise audience selection. You are reaching people in a high-attention environment, which matters for brand building, while retaining some of the targeting logic that digital channels have accustomed marketers to expect.

The practical challenge is production cost. CTV creative needs to work in a television context, which means the cheap social-first video formats often do not translate. If you are moving budget toward CTV, build the creative budget into your planning from the start, not as an afterthought.

Creator-Led Content at Scale

Creator partnerships have evolved from influencer marketing into something more structurally significant. The most effective brands are not just using creators for awareness posts. They are using creator content across paid social, CTV pre-rolls, and retail media placements, treating creator-produced assets as a content supply chain rather than a one-off campaign mechanic.

The evidence for this approach is increasingly solid. Later’s research on creator-led go-to-market campaigns shows the performance differential when creator content is integrated across paid channels rather than used only in organic placements. The combination of authentic format and paid distribution is consistently outperforming brand-produced creative in mid-funnel environments.

This is not about chasing reach through celebrity. It is about content that performs in feed environments because it was built for them, by people who understand how those environments work.

What Connected Data Actually Means in Practice

Every multichannel strategy conversation eventually arrives at data connectivity. How do you know what is working across channels? How do you avoid the trap of each channel claiming credit for the same conversion? How do you make resource allocation decisions when your measurement is fragmented?

I have sat in enough planning meetings where the paid search team and the display team were both claiming the same sale to know that this is not a theoretical problem. It is a daily operational problem that distorts budget decisions at scale.

The practical answer is not a perfect attribution model, because that does not exist. The answer is a measurement framework that you agree on before you start spending, that is honest about what it can and cannot see, and that is consistent enough to make directional decisions over time.

First-party data is the foundation. Not because it is perfect, but because it is yours, it is not going away, and it connects behaviour across touchpoints in a way that third-party cookie-dependent measurement cannot. Building the infrastructure to collect, store, and activate first-party data is less exciting than launching a new channel, but it is more durably valuable.

Media mix modelling has come back into focus for this reason. It is not channel-level precise, but it gives you a macro view of contribution that individual channel attribution cannot. For brands spending meaningfully across multiple channels, running an MMM annually and using it to calibrate your channel-level data is worth the investment. Semrush’s overview of growth measurement tools covers some of the more accessible options for teams that cannot run full econometric models.

The Sequencing Question Most Brands Get Wrong

Channel selection is the conversation most marketing teams have. Channel sequencing is the conversation most of them skip.

Sequencing is about the order in which channels interact with a customer across their path to purchase. It is about understanding that someone who sees a video ad, then a social post, then a search result, behaves differently from someone who only ever sees the search result. The first person has context. The second person is making a cold decision.

When I was growing an agency from 20 to 100 people, one of the biggest commercial lessons was that clients who invested in upper and mid-funnel channels alongside performance consistently outperformed those who relied on performance alone, even when the performance-only numbers looked good in the short term. The compounding effect of brand familiarity on conversion rates is real, and it is systematically undervalued by attribution models that weight recent touchpoints.

A useful way to think about sequencing: map your customer experience honestly, identify where you have gaps in channel coverage, and ask whether your current mix addresses those gaps or just reinforces the touchpoints you already know how to measure. BCG’s framework on commercial transformation makes a related point about the difference between optimising existing demand and building the conditions for new demand to emerge.

Personalisation Without the Complexity Trap

Personalisation is one of those multichannel trends that has been promised for longer than it has been delivered. The technology has improved substantially. The organisational capability to use it well has not kept pace.

The complexity trap works like this. A brand invests in a customer data platform, a dynamic creative optimisation tool, and a personalisation layer across email and web. The technical stack is impressive. The team responsible for feeding it with content, logic, and audience definitions is not resourced to match. The system runs on default settings, or on rules built in 2023 that nobody has reviewed since.

Personalisation at scale requires content operations that most marketing teams have not built. Before investing in personalisation technology, the honest question is whether you have the content volume, the audience data quality, and the operational process to run it properly. If the answer is no, a simpler segmentation approach will outperform a sophisticated system running on insufficient inputs.

Start with meaningful segmentation rather than individual-level personalisation. Three to five distinct audience segments with genuinely different messaging will deliver more value than a personalisation engine serving minor variations to everyone. Build complexity when you have the data and the operational capacity to justify it.

Channel Investment Decisions in a Tighter Environment

The commercial environment for marketing investment has tightened. Boards are asking harder questions about marketing ROI. Finance teams are scrutinising channel budgets more closely. The easy answer is to cut upper-funnel spend and concentrate on channels with measurable short-term returns. That is also the answer most likely to create a growth problem eighteen months from now.

I have seen this cycle play out multiple times. A brand under pressure cuts brand spend, performance numbers hold up for a quarter or two because there is residual brand equity in the market, then lead quality drops, conversion rates soften, and the performance channels start to look less efficient. By the time the connection is made back to the brand investment decision, the damage is done.

The brands that manage this well are the ones that have built an internal narrative around the full-funnel contribution of their channel mix, with enough measurement rigour to make the case for upper-funnel investment even when it is harder to defend in a spreadsheet. Forrester’s work on go-to-market investment decisions highlights how this tension between short-term measurability and long-term brand health plays out across different sectors.

The practical move is to protect a defined percentage of your channel budget for demand creation activity, treat it as a fixed cost rather than a discretionary line, and measure it on longer time horizons than you apply to performance channels. Not because it is immune to scrutiny, but because applying a 30-day attribution window to brand activity is measuring the wrong thing.

The Operational Reality of Running Multiple Channels Well

There is a version of multichannel marketing that exists in strategy decks and a version that exists in the actual day-to-day of a marketing team. They are often quite different.

Running multiple channels well requires more than budget. It requires channel-specific expertise, content production capacity, a testing and learning culture, and enough organisational alignment to make decisions quickly when something is not working. Most marketing teams are under-resourced relative to the number of channels they are trying to manage.

The honest answer for most brands is that fewer channels, run with genuine depth and expertise, will outperform a broader spread run with divided attention. Channel consolidation is not a retreat. It is a resource allocation decision. Pick the channels where your audience is most present, where you have or can build genuine capability, and where the economics of customer acquisition make sense. Resist the pressure to be everywhere.

I have turned around loss-making businesses by doing less, better. The instinct under pressure is often to add activity. The more commercially sound response is usually to concentrate it.

If you are working through how channel decisions connect to broader commercial strategy, the articles in the Go-To-Market and Growth Strategy hub cover the planning frameworks that sit behind these choices, from market entry sequencing to how to build a channel mix that compounds over time rather than just runs in parallel.

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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