The Customer Buying Journey Is Not a Funnel
The customer buying experience describes the sequence of steps a person takes from first becoming aware of a problem to making a purchase decision and beyond. Most models present this as a tidy, linear progression. In practice, it is rarely that clean, and the way most businesses map it tells you more about their internal org chart than about how customers actually behave.
Understanding the buying experience matters because it determines where you invest, what you say, and how you measure success. Get the model wrong and you optimise for the wrong moments, talk to the wrong people at the wrong time, and wonder why conversion rates never quite hit the numbers on the slide deck.
Key Takeaways
- The buying experience is non-linear. Customers loop back, stall, and re-enter at unexpected points. Any model that ignores this will produce misleading attribution data.
- Most businesses map the experience from their own perspective, not the customer’s. The gap between those two views is where revenue leaks.
- Awareness and consideration stages are chronically under-invested compared to conversion, despite driving the pipeline that conversion depends on.
- Marketing cannot compensate for a broken product or poor service experience. The buying experience does not end at purchase, and post-sale experience shapes whether a customer ever returns.
- experience mapping is only useful if it changes decisions. If the map sits in a deck and no one acts on it, it was a workshop, not a strategy.
In This Article
- What Does the Customer Buying experience Actually Look Like?
- Why Most experience Maps Are Built for the Wrong Audience
- What Happens at Each Stage and Where Businesses Get It Wrong
- How to Map the Buying experience in a Way That Changes Decisions
- Where AI Fits Into experience Mapping and Where It Does Not
- The Harder Question Behind the experience Map
What Does the Customer Buying experience Actually Look Like?
The classic model breaks the buying experience into three broad stages: awareness, consideration, and decision. Some frameworks add a fourth stage for post-purchase loyalty or advocacy. These categories are useful shorthand, but they flatten a process that is genuinely messy.
A customer might see your brand in a social ad, forget about it for three weeks, read a comparison article, watch a competitor’s YouTube video, come back to your site via organic search, abandon their cart, receive a retargeting email, and then convert after a conversation with a colleague who already uses you. That is one path. Another customer might read a single article and convert the same day. Both paths end at the same place, but they require entirely different things from your marketing.
The funnel metaphor persists because it is easy to explain in a boardroom. It implies that if you pour enough in at the top, something comes out at the bottom. But funnels assume one-way flow. Real buying behaviour involves customers moving backwards, pausing, switching channels, and being influenced by things you never touched. Crazyegg’s breakdown of the customer experience captures some of this complexity well, particularly the way touchpoints interact rather than simply stack.
I spent years running agency teams that were rewarded for last-click conversions. The client saw the conversion, attributed it to the paid search campaign we managed, and renewed the contract. What neither of us was measuring was the display campaign, the content programme, and the PR coverage that had been building familiarity for six months. The last click got the credit. Everything upstream was invisible. That is not an analytics problem. It is a mental model problem.
Why Most experience Maps Are Built for the Wrong Audience
experience mapping became a standard workshop exercise somewhere in the mid-2010s. Most marketing teams have done at least one. Most of those maps are still sitting in a shared drive somewhere, untouched since the day they were created.
The problem is not the exercise. The problem is who it is designed to satisfy. Most experience maps are built to make internal stakeholders feel organised. They reflect the company’s channels, the company’s departments, and the company’s preferred sequence of events. They do not reflect what customers actually do, think, or feel at each stage.
I have sat in experience mapping workshops where the team spent 90 minutes debating which department owned the “consideration” stage. That conversation is entirely internal. The customer does not know or care which team is responsible for the email they just received. They only know whether it was useful or not.
A genuinely useful experience map starts with customer research, not internal consensus. It identifies where customers actually get information, what questions they are trying to answer at each stage, what friction they encounter, and what would make them more confident in from here. That requires talking to customers, not just talking to each other.
The broader context for this sits within how businesses think about customer experience as a whole. If you want to explore how the buying experience connects to wider CX strategy, the Customer Experience hub on The Marketing Juice covers the full landscape, from measurement frameworks to retention mechanics.
What Happens at Each Stage and Where Businesses Get It Wrong
Let me walk through each stage with some specificity, because the generic descriptions do not tell you where the actual problems are.
Awareness
At this stage, the customer either does not know they have a problem, or they know they have a problem but do not know you exist. Your job is to be present when the problem becomes conscious, and to make a strong enough impression that they remember you when they start looking for solutions.
Most businesses under-invest here because awareness is hard to measure. There is no click to count, no form to fill. The ROI is diffuse and delayed. So the budget goes to conversion activity, and the awareness gap widens. Then the business wonders why its remarketing campaigns are not scaling. You cannot remarket to people who have never heard of you.
When I was growing an agency from 20 to nearly 100 people, one of the most effective things we did was invest in thought leadership content that had nothing to do with selling our services. We published genuinely useful analysis. We spoke at industry events. We built familiarity before we ever needed it. When clients were ready to review their agency roster, we were already in their head. That is what awareness is supposed to do.
Consideration
This is where the customer is actively evaluating options. They are reading reviews, comparing features, asking colleagues, watching demos. Your content needs to answer the questions they are actually asking, not the questions you wish they were asking.
The mistake most businesses make here is leading with features rather than addressing concerns. Customers in the consideration stage have already decided they want a solution. What they are trying to figure out is which solution is the right one and whether your company is trustworthy enough to buy from. Piling on more product specifications does not answer that question. Social proof, honest comparisons, and clear explanations of how you handle things when they go wrong do.
Mailchimp’s overview of end-to-end customer journeys makes a useful point about how the consideration stage is where personalisation starts to matter. Customers who have already engaged with you once respond differently to generic messaging. They have given you a signal. Use it.
Decision
At this stage, the customer has narrowed their options and is ready to commit. The job here is to remove friction, not add persuasion. Most conversion optimisation focuses on the mechanics: button colour, checkout flow, form length. Those things matter at the margins. What matters more is whether the customer feels confident and whether the process is easy.
I have seen businesses spend significant budget on conversion rate optimisation while leaving a 48-hour response time on their contact form. The CRO work moved conversion rates by fractions of a percentage point. Fixing the response time moved them by several points. Sometimes the biggest conversion problem is not on the page. It is in the process.
Optimizely’s work on digital optimisation across the customer experience is worth exploring here, particularly the argument that optimisation should not be confined to the conversion moment but applied across every stage where a customer makes a micro-decision.
Post-Purchase
This is the stage that most marketing teams treat as someone else’s problem. Once the conversion is logged, the campaign is declared a success and attention moves to the next acquisition target. Meanwhile, the customer is waiting to find out whether the product lives up to the promise.
Post-purchase experience determines repeat purchase rate, referral behaviour, and whether the customer becomes the kind of advocate who generates awareness for you without being paid to do it. If the experience after purchase is poor, no amount of acquisition spend will compensate. You are filling a leaking bucket.
I have worked with businesses that had genuinely excellent products but mediocre post-purchase communication. Customers were left in the dark about delivery timelines, had no clear point of contact when things went wrong, and received no follow-up after their first purchase. The product was good enough to generate repeat purchases despite the experience, not because of it. When we fixed the communication, repeat purchase rates improved without any additional acquisition spend. That is the opportunity most businesses are leaving on the table.
How to Map the Buying experience in a Way That Changes Decisions
A experience map that does not change decisions is a decoration. Here is how to build one that actually gets used.
Start with customer interviews, not internal assumptions. Talk to recent buyers, recent churned customers, and people who considered you but chose someone else. The last group is particularly valuable because they can tell you exactly where you lost them. Most businesses never ask.
Map the questions customers are asking at each stage, not the touchpoints you are delivering. The question “how do I know this will work for my situation?” is a consideration-stage question. The question “what happens if I need to cancel?” is a decision-stage question. Your content and communication should be organised around answering those questions, not around your channel structure.
Identify the friction points. Where do people drop off? Where do they pause for longer than expected? Where do they contact support with questions that should have been answered by your content? Each of those is a signal that something in the experience is not working. Customer experience analytics can help surface these patterns if you know what to look for, but the data needs to be interpreted alongside qualitative research, not instead of it.
Assign ownership to each stage. Not departmental ownership in the abstract, but specific accountability for specific outcomes. Who is responsible for ensuring that a customer who has visited the pricing page twice receives something relevant within 24 hours? If no one can answer that question, the experience map is not operational.
Review the map against actual data quarterly. Customer behaviour changes. The questions people ask in the consideration stage shift as the market matures, as competitors change their positioning, and as external factors alter priorities. A experience map built in 2022 may not reflect how customers behave in 2025. Treat it as a living document, not a one-time exercise.
Where AI Fits Into experience Mapping and Where It Does Not
There has been a wave of interest in using AI tools to map and optimise the customer buying experience. Some of it is genuinely useful. Some of it is theatre.
AI can be useful for processing large volumes of customer feedback, identifying patterns in behavioural data, and generating hypotheses about where friction exists. Moz’s exploration of using ChatGPT for customer experience mapping is a reasonable starting point for understanding what the tools can and cannot do in this space.
What AI cannot do is replace the judgment required to interpret what the data means for your specific business, your specific customers, and your specific competitive context. A tool that generates a generic experience map based on your industry category is giving you a template, not an insight. Templates are a starting point, not a strategy.
The businesses I have seen use AI most effectively in this area treat it as a research assistant, not a decision-maker. They use it to process and organise, then apply human judgment to interpret and act. The businesses that get into trouble are the ones that outsource the thinking entirely and mistake the output for analysis.
The Harder Question Behind the experience Map
There is a question that experience mapping exercises rarely surface, because it is uncomfortable: is the product or service genuinely good enough to deserve repeat business?
I have spent enough time in this industry to know that marketing is often asked to compensate for more fundamental business problems. A company with a mediocre product and poor service can spend heavily on acquisition and show impressive top-line numbers for a while. But the buying experience does not lie. If customers are not coming back, if referrals are thin, if churn is high, the problem is usually not the marketing. It is the experience that the marketing promised but the business failed to deliver.
The most commercially effective businesses I have worked with were the ones where the product and service were genuinely good. Their buying journeys were simpler because customers had fewer objections, more confidence, and more willingness to refer others. Marketing in those businesses felt like amplification rather than compensation. That is the version worth building towards.
When I judged the Effie Awards, the campaigns that stood out were not the ones with the most sophisticated channel architecture. They were the ones where the brand had something real to say because the underlying business had earned the right to say it. The buying experience is a reflection of the business, not just the marketing department.
The language you use at each stage of the buying experience also matters more than most teams acknowledge. HubSpot’s guidance on customer service language is a useful reference for how tone and word choice affect customer confidence, particularly in the post-purchase stage when customers are most likely to be anxious about their decision.
If you are thinking about how the buying experience connects to your broader customer experience strategy, the articles in the Customer Experience section of The Marketing Juice cover the measurement frameworks, retention mechanics, and CX fundamentals that sit alongside experience mapping. They are worth reading as a set rather than in isolation.
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.
