Building an omnichannel customer experience for the modern buyer

Omnichannel customer experience is a strategy that integrates all channels and touchpoints a business uses into a single, continuous journey, so a customer receives the same context, history, and level of service whether they reach out via live chat, phone, email, social media, or SMS.

The modern buyer does not move in a straight line to checkout. Someone might spot a product in a social ad, compare prices on their phone at lunch, start a live chat on the brand's website, and finish the purchase from a laptop that evening. Every step belongs to the same journey. For many retailers, the back end does not see it that way.

91% of consumers shop across multiple channels before they buy, which means most purchasing decisions are already omnichannel whether a business is ready for it or not. The companies that can follow a customer across that fragmented path are the ones that protect both revenue and loyalty. The ones that cannot lose the thread, and often the sale, somewhere between channels.

This article breaks down what omnichannel customer experience actually means, why it matters more during peak shopping periods, and how retailers can build the infrastructure to deliver it at scale. 

Many retailers assume that offering customer support through multiple channels means they’re omnichannel. That’s multichannel support, which is a prerequisite for omnichannel support. But they’re different concepts. Let’s break them down. 

Multichannel support

Multichannel support is when a company offers several channels (email, phone, chat, social, SMS) that operate independently. A customer’s history doesn’t carry over from one conversation to the next, so they often have to restart every conversation when they switch channels. 

What this looks like in practice: A customer emails support about a delayed order, then calls an hour later because they haven't heard back. The phone agent has no record of the email and asks the customer to explain the issue again. 

Omnichannel support

Omnichannel support is when every touchpoint is connected to a single, unified system. Customer history, conversation context, and purchase data follow the shopper wherever they show up next, ensuring consistent information, seamless transitions, and personalized interactions at every step.

What this looks like in practice: A customer emails support about a delayed order, then calls an hour later. The phone agent already has the email on record and picks up the conversation immediately. There’s no need for the customer to explain the issue again.

The difference between the two matters more than ever, as 56% of customers say they often have to repeat or re-explain information to different representatives, and that repetition is exactly what omnichannel is designed to eliminate.

Why omnichannel matters more during the holidays

The holidays raise the stakes on all of this. Purchase urgency goes up, inquiry volume goes up, returns go up, and so does channel switching. Customers don’t lower their expectations to match the chaos of holiday shopping. If anything, they expect more consistency and better service. 

When a customer reaches out about a shipping delay two days before the holiday, they’re not just asking for a status update. They need an answer fast enough to make a decision, including whether to buy from someone else. 

This pressure also surfaces in returns and exchanges, which spike heavily in the weeks after the holidays. A customer who bought a gift in December and needs to return it in January may not remember which channel they used to ask about the retailer’s return policy the first time. Without a connected history, every new conversation starts from zero.

The benefits of omnichannel support show up directly in revenue, agent performance, and the relationships retailers build with their customers.

1. Preserving at-risk revenue

Questions about shipping deadlines, product availability, sizing, or return policies create hesitation at exactly the moment a customer is deciding whether to buy. Without fast answers, that hesitation turns into an abandoned cart. 

What the data shows: Real-time support across a customer’s preferred channel closes that gap, and omnichannel engagement increases average sales revenue by 9.5%.

2. Maximizing agent efficiency

Holiday support teams face overwhelming ticket volume during Black Friday and Cyber Monday (BFCM) as well as other seasonal shipping windows. A unified support environment lets agents manage multiple channels from a single dashboard, rather than toggling between disconnected tools, reducing ticket backlogs and speeding up resolution times. 

What the data shows: Leaders who use interconnected service tools are 130% more likely to describe their customer service strategy as highly effective. 

3. Enhancing CX during Black Friday and Cyber Monday

A fast-growing e-commerce brand needed to handle a major spike in support tickets during Black Friday and Cyber Monday (BFCM) without sacrificing response times. The brand partnered with Horatio to optimize workflows and reallocate resources ahead of the surge.

The result: Faster response times, a measurable lift in ticket resolution, and improved customer satisfaction despite volume climbing. Read the full case study. 

4. Boosting customer lifetime value (LTV)

A holiday sale shouldn’t be treated as a one-time transaction. Omnichannel shoppers tend to stick around. They buy more often, return to other brands less frequently, and are more forgiving of occasional hiccups because the overall experience feels reliable. The retailers who get this right earn more sales through increased customer loyalty.

What the data shows: Omnichannel shoppers generate a 30% higher lifetime return on investment than single-channel shoppers.

5. Higher customer satisfaction and retention

Repetition is one of the fastest ways to lose a customer's patience. When context carries across email, phone, and chat, shoppers stop having to re-explain themselves, and friction drops at the exact moments that usually drive people away. That consistency builds trust, and trust is what turns a one-time holiday buyer into a repeat customer. Satisfaction rises when the experience feels effortless, and retention tends to follow satisfaction.

What the data shows: Companies with strong omnichannel engagement strategies retain an average of 89% of their customers.

6. Smarter, data-driven decisions

An omnichannel setup does more than serve customers. It centralizes purchase history, behavioral signals, and support conversations in one place. That unified view lets operations teams spot recurring pain points, see which channels carry the most demand, and assign agents based on real patterns instead of guesswork. When every interaction feeds the same system, planning stops being reactive.

What the data shows: 73% of shoppers engage on multiple channels during their shopping journey, meaning you'll have more data to analyze for each channel, helping you make better decisions.

7. Stronger customer engagement

Meeting buyers on the channels they already use, whether that is SMS, social, or a website widget, keeps the conversation going instead of forcing customers to come find the brand. When that outreach is informed by past behavior, it lands as relevant rather than intrusive. Engagement improves when the message fits the moment, and omnichannel data is what makes that timing possible.

What the data shows: Implementing campaigns that use 3 or more channels provides a 494% higher order rate than single-channel efforts, showing that when you engage with customers on their preferred channels, your efforts thrive.

8. A more cost-efficient operation

Connected infrastructure takes investment up front, but it lowers cost per contact over time. Removing duplicate touchpoints, routing routine questions to automation, and giving agents a single dashboard all cut the hours spent on work that does not need a human. The result is a support operation that scales without a matching spike in headcount.

What the data shows: Integrating omnichannel support lowers service costs by up to 35%.

Omnichannel support for peak season

Examining real-world implementations illustrates how tailored omnichannel solutions address complex operational challenges and deliver measurable results.

• Spot & Tango (E-Commerce & subscription retail): To support its rapidly growing direct-to-consumer dog food subscription model, Spot & Tango required a customer support infrastructure capable of handling high query volume without compromising service quality. Horatio built and deployed a dedicated omnichannel support team that scaled up to 30 associates. By consolidating subscriber data and interactions across email, phone, live chat, and social channels into a single operational view, agents were equipped with full context for every inquiry. This unified approach enabled Spot & Tango to scale through rapid growth periods while consistently maintaining CSAT scores well into the 90s. Read more: https://www.hirehoratio.com/blog/spot-and-tango-case-study
• High-Growth Gaming Studio (Digital & gaming operations): Managing player experiences across fragmented community platforms (such as Discord, social media, in-game chat, and support tickets) often leads to operational silos. Horatio implemented a 24/7 omnichannel player support framework backed by a structured quality assurance (QA) program. Integrating technical support, community moderation, and ticketing workflows allowed agents to track player histories across all touchpoints in real time. This connected approach reduced technical handle times by 35% for complex Tier 2/3 issues, maintained an average QA score of over 94%, and ensured smooth service during surge events like game expansions and tournaments. Read more: https://www.hirehoratio.com/blog/revolutionize-gaming-quality.

Creating a seamless journey requires aligning technology, strategy, and messaging.

• Invest in the right tech stack. A modern omnichannel tech stack is built on unified data and context-aware personalization. Clean, accessible data powered by a centralized CRM gives agents immediate visibility into purchase history and preferences. Context-aware support means an agent can see a customer’s recent orders before responding, which reduces back-and-forth and resolves tickets faster.
• Clear customer journey mapping. Mapping the customer journey helps retailers see where the experience breaks down. Did the customer abandon their shopping cart during the checkout process? Is there an unclear return policy? A well-mapped customer journey enables teams to spot friction before a customer gets stuck, ensuring that context travels with the customer whether they move from a self-service FAQ to live chat.
• Standardize branding and messaging. Omnichannel in retail requires consistency. Customers should experience the same tone, visuals, and messaging whether they are interacting with an automated chatbot, speaking to a phone agent, or reading an email. Standardized communication guidelines ensure that every channel feels like an extension of the same brand.
• Unified customer data. Clean, accessible, and most importantly, unified data is the foundation of every omnichannel tech stack, and it’s powered by a centralized CRM. A unified CRM system gives agents immediate visibility into purchase history, current orders, customer preferences, and previous support interactions – no matter which channel they’re working in. Shared customer profiles pull from the same source of truth, and real-time synchronization keeps that data current as a customer moves between them. Leaders who say their service team’s tools are well-integrated are 119% more likely to describe their customer service strategy as effective. 
• Context-aware personalization. A connected tech stack puts the data to work. Historical purchase behavior can shape product recommendations, promotions, and even which channel a customer prefers to be contacted on. Context-aware support means an agent can see a customer’s recent orders and past interactions before responding, which reduces back-and-forth and helps resolve faster. None of this replaces human judgment, though. Automation helps retailers scale, but customers still want a real person for complex issues, delayed shipments, or high-value purchases. The strongest holiday support strategies pair AI efficiency with human empathy, not one at the expense of the other.
• Clear customer journey mapping. Mapping the customer journey helps retailers see where the experience actually breaks down. A CX team without an understanding of the customer’s journey is flying blind. For example, did the customer abandon their shopping cart during the checkout process? Is there an unclear return policy? Shipping confusion? Inventory mismatches? A well-mapped customer journey enables teams to spot friction before a customer gets stuck and frustrated. The goal is to make sure context travels with the customer, whether they’re moving from a self-service FAQ to a live chat or from one channel to another entirely. This is where retailers can truly reduce customer effort.

Scaling omnichannel customer support used to mean hiring more agents. Today it is a mix of automation, AI, and workforce planning, and it matters most when volume spikes during the holidays. Simply adding headcount for the rush is expensive and rarely delivers the outcomes retailers actually need.

Here’s how to scale omnichannel in retail during the holidays.

Frontline deflection

Chatbots and self-service tools can handle predictable, high-volume questions, freeing up human agents for issues that truly require them. Humans no longer need to handle routine inquiries like shipping status, return policies, order tracking, and pickup availability. With the right data and systems in place, AI can tackle those issues so agents can focus on more complex customer interactions. 

Case in point: when IKEA trained an AI chatbot to handle 47% of its customer calls, it redeployed the 8,500 employees who previously handled that volume into higher-value roles, including premium design services that generated €1.3 billion in revenue. While many brands see AI as a replacement, IKEA leverages it as a way to provide even more value to customers and the business. 

Backend queue optimization

Machine learning can classify and prioritize tickets by urgency before an agent ever sees them. Workflow automation handles the busywork behind the scenes, pulling shipment data, updating CRM records, and triggering workflows. This means agents spend their time resolving issues rather than chasing down information or constantly reprioritizing the queue manually.

Real-time surge notifications

Sentiment analysis can flag frustrated customers before situations escalate, and predictive recommendations help agents move faster by surfacing the next-best action rather than leaving them to guess. Real-time surge intelligence also helps managers see where volume is spiking across channels before it becomes a backlog, so resources can be shifted while there's still time to act.

Workforce elasticity

While AI can handle low-hanging fruit during traffic spikes, retailers still need people for more complex inquiries. That means onboarding seasonal agents ahead of time rather than scrambling once volume climbs, or leaning on an outsourced team that can ramp up fast without the months-long hiring process. 

It also means knowing in advance which channels are most likely to need a human when things get busy, so resources are already pointed in the right direction when the spike arrives.

Improving the omnichannel customer experience is less about what a team does in the moment and more about what it built and prepared before the season started. A proactive approach keeps retailers ahead when the rush arrives instead of scrambling once volume climbs.

1. Get ahead of the conversation

As Michael Renahan, Senior Manager of Customer Success at HubSpot, notes,

"A strong customer success team focuses on proactive behaviors, not reactive." 

Don’t wait for customers to open a support ticket to find out something went wrong. Proactive communication about potential disruptions, delivery timelines, or order status reduces uncertainty and prevents a wave of inbound inquiries before it starts. A customer who already knows their order is delayed is far less frustrated than one who had to ask. 

Examples: 

• Sending proactive shipping delay notifications via SMS or email the moment a fulfillment issue is identified
• Updating order confirmation emails with realistic delivery windows during high-volume periods rather than standard estimates that won’t hold up
• Publishing a clearly visible holiday return policy before Black Friday (surfaced in post-purchase emails and on product pages, not buried in the footer)

2. Optimize the AI-to-human handoff

Bot fatigue is real, and it’s worse during the holidays when customers are already stressed about timing. 

A shopper who has exchanged four messages with a chatbot about a missing package still without a resolution doesn’t need another automated response. AI should detect frustration early and escalate before the customer has to ask. When that handoff happens, the agent should already have full context, so the first thing they say isn’t “can you explain the issue?” 

Examples: 

• Sentiment detection that flags repeated questions or short, impatient replies as escalation signals
• Automatically deliver transcript summaries to agents before they join the conversation
• Ensure full context and conversation history carry over, so the customer never has to repeat themselves

3. Support mobile and social shoppers where they are

Mobile carries the highest cart abandonment rate of any channel, often because the support experience doesn’t match the shopping experience. A customer browsing on their phone who hits a question about sizing or shipping shouldn’t have to navigate to the desktop chat widget to get an answer. 

On the social side, a comment or DM that goes unanswered for hours has likely already cost the sale. You need the people and systems in place to handle these inquiries in a timely manner.

Examples: 

• Responsive in-app chat or SMS support that keeps mobile shoppers in the purchase flow
• Social comments and DMs get routed directly into the support queue with response SLAs that match the urgency of the channel
• Dedicated coverage for high-traffic social moments like product launches or flash sales

Closing tickets is one thing. Knowing whether customers are moving through the experience without friction is another, and it is the real measure of omnichannel success. The CX metrics below show whether the strategy is working, not just whether the queue is clearing:

• First-contact resolution (FCR) measures how often customer issues are resolved in a single interaction, regardless of the channel.
• Channel transfer rate tracks how frequently customers have to switch channels to get help. Lower rates typically signal a stronger omnichannel experience.
• Self-service containment rates measure how effectively self-service tools resolve inquiries without ever involving an agent.
• Customer effort score (CES) indicate how easy it is for customers to complete post-purchase tasks, get support, and resolve issues. During the holidays, this one tends to be the most telling.

Retailers that get this right see it in the numbers. Omnichannel service experiences achieve customer satisfaction rates of 67% compared to just 28% for disconnected multichannel operations.

The top brands are the ones that connect every interaction into a seamless experience, from discovery to delivery, support, returns, and post-holiday retention. That’s what omnichannel customer experience looks like, and it’s what separates retailers who earn repeat customers from those who lose them between channels. 

Horatio works with fast-growing brands to build the support infrastructure that makes this possible. We bring the right people, processes, and technology to deliver consistent, connected experiences at any volume. If the holiday season is where your current setup starts to break down, get in touch today. 

What is omnichannel customer experience?

Omnichannel customer experience is a strategy that connects all customer touchpoints into a unified journey. Customer history, preferences, and interactions remain consistent across channels, allowing shoppers to move seamlessly between online and offline experiences.

How can retailers improve omnichannel customer experience during the holidays?

Retailers can improve omnichannel customer experience by integrating customer data, enabling real-time inventory visibility, offering consistent support across channels, and using AI to scale service during peak shopping periods.

What is the difference between multichannel and omnichannel customer experience?

Multichannel support means a company offers several channels that operate independently. Customer history doesn't carry over between them. Omnichannel support connects every channel into a unified system, so context, purchase history, and conversation history follow the customer wherever they show up next.

Why is omnichannel customer support important during the holiday season?

Holiday shoppers frequently switch between devices and channels while facing time-sensitive purchasing decisions. Omnichannel customer support reduces friction, improves response times, and helps retailers deliver a more consistent customer experience during peak demand.

What are the benefits of omnichannel customer service?

The benefits of holiday ecommerce customer service include higher customer satisfaction, improved retention, reduced customer effort, faster issue resolution, and increased revenue through more personalized and connected experiences.