Editorial Team Misinformation is everywhere in marketing, and it gets even worse when you’re talking about advanced stuff like Viamedia’s omnichannel work. So many companies are stuck on old ideas, which is why they can’t connect with customers who are bouncing between phones, laptops, and stores. A unified customer experience isn’t some buzzword, it’s a real growth driver, and it’s time we treated it that way.
Key Takeaways
- Omnichannel isn’t just using multiple channels. It’s about integrating all customer touchpoints into a single, connected experience.
- To make omnichannel work like Viamedia does, you need a single place for all your customer data, a centralized platform that lets you see what’s actually happening across all channels.
- Your attribution model has to go beyond last-click. You need to give credit to all the touchpoints in the journey that led to a sale, not just the final one.
- You can actually do personalization at scale with AI that serves up dynamic ads and content based on a customer’s specific journey, like showing them an ad for a product they just looked at on your app.
- To measure omnichannel ROI, you have to look at everything, your online analytics and your offline sales data, to get the whole picture of what’s working.
Myth 1: Omnichannel is Just Another Word for Multi-channel
This is the biggest one. I hear marketers use “omnichannel” and “multi-channel” like they’re the same thing, but they’re completely different ways of thinking. A multi-channel strategy just means you’re in a few places: a website, social media, email, maybe a physical store. But each of those channels is its own silo, working alone with its own goals and its own set of customer data. There’s no connection. A customer sees a Facebook ad, visits your site, and gets an email, but as far as the brand knows, those could be three different people.
Omnichannel marketing puts the customer at the center of the strategy, not the channels. It’s about creating one consistent experience no matter where the customer is. The brand knows the journey is messy, people jump between channels, so every interaction has to build on the last one. If a customer puts something in their cart on your mobile app, it should still be in the cart when they log in on their desktop. If they call support, the agent should be able to see their recent browsing history. This means your data and systems have to be deeply connected. A HubSpot report found that companies with strong omnichannel strategies keep 89% of their customers, while companies with weak ones only keep 33%. That number says it all.
Viamedia’s whole approach is true omnichannel. They don’t just put ads on TV and then run some digital ads separately. They create campaigns where the TV ad triggers the digital retargeting, and the data from digital engagement helps them buy smarter on TV next time. It’s about making the channels work together to tell one story. If you don’t get this, your customer experience will feel broken and you’re just leaving sales on the table.
“Digital marketing teams that integrate AEO into their existing measurement and editorial processes now will have both the operational infrastructure and the attribution story when AI-assisted discovery becomes a primary channel for their buyers.”
Myth 2: Implementing Omnichannel is Too Complex and Expensive for Most Businesses
A lot of businesses, especially smaller ones, get scared off by omnichannel. They think it requires a massive budget and a whole IT department to pull off. They picture having to rip out all their current systems, and the fear of huge costs and disruption stops them before they even start. It’s not an all-or-nothing deal, though.
The truth is you can implement omnichannel in phases. You can start by connecting just a few key channels and build from there. The absolute first step is to get all your customer data into one place. This doesn’t mean you need a crazy expensive, custom-built CRM. You can often use the platforms you already have, maybe with some third-party connectors, to create that foundation. The goal is to get a single view of the customer, so when you look them up, you see every interaction they’ve ever had with you. That’s why the Customer Data Platform (CDP) market is growing so fast, with a Statista projection expecting it to hit $20.5 billion by 2027, these tools are getting more common and easier to use.
Viamedia works with all kinds of clients, proving that effective omnichannel isn’t just for the Fortune 500 crowd. Their strategies often use a client’s existing media buys and just add digital layers on top. For instance, they’ll use programmatic platforms to target people who saw a specific TV ad, or they’ll build interactive features into digital ads that point back to a landing page mentioned on a broadcast. The key is to spend smarter by making each channel build on the others. That initial work on data integration and strategy pays off by keeping customers around longer and converting them more efficiently, which in the end lowers what you spend to get a new customer in the long run.
Myth 3: Attribution Models Don’t Need to Change for Omnichannel Campaigns
This myth is dangerous because it makes you waste money and blinds you to what’s actually working. Too many marketers are still obsessed with last-click attribution, where 100% of the credit for a sale goes to the very last thing a customer clicked. It’s simple, sure, but it’s also incredibly stupid in an omnichannel world. If a customer sees a TV ad, then a display ad, clicks a search ad, and then buys, last-click gives all the credit to the search ad. It completely ignores the fact that the TV and display ads built the awareness that made them search in the first place.
In an omnichannel world, the path to purchase is almost never a straight line. Customers see an ad on TV, do some research on their phone, open an email, and then maybe buy on their laptop a week later. You need a better attribution model to see the real impact of each channel. Models like linear attribution (which splits credit evenly), time decay (which gives more credit to recent touchpoints), or position-based (more credit to the first and last touches) give you a much clearer view. Even better are data-driven attribution models, which use machine learning to figure out how much credit each touchpoint actually deserves. Google Ads even uses this as the default for many conversions because it’s just more accurate.
Viamedia’s ability to show clients real growth comes from using sophisticated attribution. They know a TV spot doesn’t usually lead to an immediate click, but it drives people to search for the brand later. Their analytics teams connect those dots by integrating TV viewership data with digital ad server logs and CRM data to see the whole journey. If you don’t adapt your attribution, you’ll end up starving the top-of-funnel channels that create awareness and pouring all your money into the bottom-of-funnel channels that just happen to be there at the finish line.
Myth 4: Personalization in Omnichannel is Limited to Email Subject Lines
Personalization is way more than just sticking someone’s first name in an email subject line. That’s old-school thinking. People believe this myth because they don’t realize what today’s technology and data can actually do.
Real omnichannel personalization uses a complete picture of the customer, their browsing history, what they’ve bought, where they live, and even what channels they prefer, to deliver dynamic content. For example, your website can show someone product recommendations based on what they were just looking at in your mobile app. Your digital ad campaigns can show people the exact product they left in their shopping cart or suggest things that go with what they just bought. Even TV is becoming personal. With connected TV (CTV), you can deliver different ads to different households through geo-targeting based on their location or what they watch. As IAB reports show, the growth in programmatic CTV is allowing for crazy levels of audience segmentation and dynamic ads, so we’re moving past the one-size-fits-all TV spot.
This is where Viamedia shines. They combine their massive linear TV audience data with digital targeting. They don’t just personalize the message. They personalize the whole ad journey. A household that watches a lot of sports might see a different car ad than a household that mostly watches family shows. This kind of granular targeting, usually run by AI algorithms, gets the right ad to the right person on the right channel. The whole point is to make every ad feel relevant so that people actually engage and convert which is what we’re all here for, right?
Myth 5: Measuring Omnichannel ROI is Impossible Due to Data Silos
It’s so frustrating to hear people claim that proving the return on investment (ROI) for omnichannel is impossible. The complaint usually comes from the very problem omnichannel is designed to fix: fragmented data. When your customer data is scattered across different departments and systems that don’t talk to each other, it’s obviously hard to connect an ad someone saw on TV to a sale that happened in a store. So marketers just throw up their hands and blame the “complex customer journey.”
Measuring this ROI is hard, but not impossible. You just need a different approach to your data and analytics. The first job is to tear down those data silos. That means you have to connect your CRM, your marketing automation platform, your website analytics, your ad server data, and even your point-of-sale (POS) systems from your physical stores. This is where a good Customer Data Platform (CDP) or a tightly integrated martech stack becomes your best friend, because it’s the central hub that connects all those data pipes. With unified data, you can use advanced analytics to actually track customer journeys across all those channels and see which touchpoints are driving revenue.
Viamedia’s case studies are all about showing clients a tangible ROI because they focus on this data unification. They don’t just report on how a single channel did. They show the combined effect. For example, they’ll demonstrate how a TV and digital campaign together drove a huge lift in local store visits (which they can measure with foot traffic data) and also boosted website sales. They correlate TV ad airings with spikes in website traffic or app downloads. This commitment to well-rounded measurement lets them constantly tweak campaigns, moving budget to the channel combos that work best. Saying you can’t measure omnichannel ROI is usually an excuse for not wanting to pay for the data infrastructure and people you need to do it right.
Stop arguing about these myths. The real work is in unifying your data and giving customers an experience that makes sense from one channel to the next. Do that, and you’ll see the growth.
What is the primary difference between multi-channel and omnichannel marketing?
Multi-channel is just being on a bunch of platforms that don’t talk to each other. Omnichannel connects them all so the customer has one smooth, continuous experience no matter where they interact with you.
How can small businesses begin implementing an omnichannel strategy without a large budget?
Start small by connecting the tools you already have, like your CRM and email platform, to get a single view of your customer. Focus on one or two high-impact integrations first. You can always add more channels later.
Why is last-click attribution inadequate for omnichannel campaigns?
It only gives credit to the very last thing a customer did before buying, so it completely ignores the influence of all the earlier touchpoints (like TV ads or social posts) that actually got them interested in the first place.
What technologies enable advanced personalization in omnichannel marketing?
Customer Data Platforms (CDPs) are key. They feed unified customer data into AI-driven automation tools and programmatic ad platforms (especially for CTV and digital display) to serve up dynamic content that’s actually relevant to the individual.
How can businesses accurately measure the ROI of their omnichannel efforts?
You have to connect your data sources, CRM, ad servers, POS systems, into one place, usually with a CDP. Then you can use advanced attribution models to see how all your channels work together to drive actual sales and revenue.
