Customer Purchase Journey: Where You’re Losing Sales You Don’t Know About

The customer purchase experience maps every step a buyer takes from first awareness through to completed transaction. Most businesses have a version of this map. Very few have an accurate one, and fewer still have fixed the gaps it reveals.

That gap between having a map and acting on it is where revenue quietly disappears. Understanding the experience in detail is not an academic exercise. It is one of the more commercially useful things a marketing team can do.

What Is the Customer Purchase experience?

The customer purchase experience is the sequence of stages a potential buyer moves through before completing a transaction. The classic model runs from awareness through consideration, intent, purchase, and post-purchase. The names vary depending on who drew the framework, but the underlying logic is consistent: customers do not appear from nowhere, hand over money, and disappear. They move through a process, and that process can be understood, measured, and improved.

What makes this more complex in practice is that the experience is rarely linear. A customer might see a display ad, ignore it, search for a competitor three weeks later, read a review, come back to your site via organic search, add to cart, abandon, receive a retargeting email, and then convert. That is one customer. One transaction. Multiple touchpoints across multiple channels, some of which you controlled and many of which you did not.

Mailchimp’s overview of the ecommerce customer experience captures this well, noting that the path from discovery to purchase involves far more touchpoints than most brands account for in their planning. That observation holds across categories, not just ecommerce.

If you want a broader view of how purchase behaviour fits into the wider discipline of customer experience, the Customer Experience hub at The Marketing Juice covers the full landscape, from measurement frameworks to retention strategy.

Why Most Purchase experience Maps Are Wrong

I have sat in more experience mapping workshops than I can count. The format is usually the same: a cross-functional team in a room, sticky notes on a wall, a facilitator asking people to describe what the customer experiences at each stage. The output looks thorough. It rarely is.

The problem is that experience mapping workshops describe what people in the room believe happens, not what the data shows actually happens. When I was running iProspect, we inherited a client whose internal experience map showed a clean three-step path from search to purchase. Their analytics told a completely different story: most converters had visited five or more pages, returned to the site on multiple occasions, and a significant portion had contacted customer service before completing a transaction. The map was aspirational. The data was commercial reality.

There are a few specific ways experience maps go wrong. They tend to reflect the happy path, the customer who does exactly what you hoped. They underweight the role of third-party touchpoints like review sites, comparison engines, and word of mouth. They treat all customers as a single segment, when in practice a first-time buyer and a repeat customer are on entirely different paths. And they rarely account for the customers who dropped out entirely, which is where the most useful information lives.

Crazy Egg’s breakdown of customer experience analysis makes a useful distinction between what customers say they do and what behavioural data shows they do. The gap between those two things is almost always instructive.

The Five Stages and Where Revenue Actually Leaks

Running through the standard stages is useful, but only if you attach commercial questions to each one rather than just describing what happens.

Awareness

This is where a potential customer first encounters your brand, product, or category. The commercial question here is not “are we visible?” but “are we visible to the right people, in the right context, at the right moment?” Broad reach without relevance is expensive noise. I managed media budgets across thirty-plus industries over my career and the single most consistent waste I saw was awareness spend pointed at audiences with no genuine purchase intent or category need. The numbers looked good. The returns did not.

Consideration

The customer is now aware of the category and is evaluating options. This is where content, reviews, comparison behaviour, and brand perception do their work. The commercial question is: when a customer is actively comparing you to alternatives, what are they finding, and is it working in your favour? Many brands invest heavily in awareness and almost nothing in the consideration layer, then wonder why conversion rates are soft.

Moz has a useful Whiteboard Friday on using AI tools to map the customer experience, which touches on how the consideration stage is changing as more buyers use AI-assisted search to shortlist options. Worth watching if you have not already.

Intent and Decision

The customer has narrowed their options and is close to committing. Friction at this stage is particularly expensive because you have already spent the money to get them here. Cart abandonment, confusing checkout flows, unexpected costs at the point of purchase, and weak trust signals all kill transactions that were nearly won. In one retail client engagement, we found that nearly a third of cart abandonments were triggered by a single page in the checkout flow that had a non-standard form layout on mobile. A layout issue. Revenue was walking out the door for months before anyone connected the data to the cause.

Purchase

The transaction completes. This stage is often treated as the finish line, which is a commercially short-sighted view. What happens immediately after purchase sets the tone for everything that follows. A poor confirmation experience, a confusing fulfilment communication, or silence after payment all undermine the relationship before it has properly started.

Post-Purchase

This is where most experience maps end and where most of the long-term commercial value is created or destroyed. Repeat purchase, referral, review behaviour, and lifetime value are all post-purchase outcomes. If your experience map stops at the transaction, you are mapping the wrong thing. The most profitable customers are the ones who come back without being paid to do so.

HubSpot’s content on building a customer success function is a useful reference here, particularly on the structural question of who owns the post-purchase relationship and what that team is actually accountable for.

The Omnichannel Complication

The purchase experience was already complicated before every customer had a smartphone, a social feed, and access to a thousand review sites. Now it is genuinely difficult to map with precision, and anyone who tells you otherwise is selling something.

Customers move between channels constantly and without warning. They might research on desktop, compare on mobile, walk into a physical store, and complete the purchase through an app. They might see your brand in a podcast ad, mention it to a colleague, get a recommendation from that colleague, and convert via a branded search that your attribution model will credit entirely to paid search. The channel gets the credit. The actual driver of the conversion was word of mouth.

Mailchimp’s piece on the omnichannel customer experience addresses this directly and is worth reading for the practical framing of how to think about consistency across touchpoints rather than optimising each channel in isolation.

The attribution problem is real and largely unsolved. I spent years managing large performance budgets and watching clients make decisions based on last-click attribution that systematically undervalued the upper funnel and overvalued the final touchpoint. The data was accurate. The interpretation was wrong. Attribution models are a perspective on reality, not reality itself. The best you can do is triangulate across multiple signals and stay honest about what you do not know.

Optimizely’s work on digital optimisation across the full customer experience makes a useful case for treating the experience as a connected system rather than a set of discrete channel problems. That framing is more useful than most.

How to Audit Your Purchase experience Without a Workshop

The most productive approach I have found is to start at the bottom and work backwards. Begin with your most valuable customers, the ones who have purchased multiple times, and map what their path actually looked like using whatever data you have. Then look at customers who purchased once and never returned. Then look at customers who got close and did not convert. The differences between those three groups will tell you more than any workshop.

Specifically, you are looking for:

• Where the largest volume drop-off occurs between stages
• Which touchpoints appear consistently in the paths of your best customers
• Which touchpoints appear in paths that end without conversion
• Where customers are going when they leave your site or store mid-experience
• What the post-purchase experience looks like for customers who do and do not return

This is not a one-time exercise. The purchase experience shifts as your product changes, your competitive set changes, and customer behaviour changes. A experience audit done two years ago is describing a different market than the one you are operating in today.

One practical discipline I have used with multiple clients is what I call a “leakage audit”: a quarterly review of the five biggest points of drop-off in the funnel, with a commercial value attached to each. If you can quantify what a 10% improvement in consideration-to-intent conversion would be worth in revenue, you have a business case. If you cannot, you have an opinion. Business cases get resource. Opinions do not.

The Honest Limit of What experience Optimisation Can Do

There is a version of this conversation that implies you can fix almost any commercial problem by optimising the purchase experience. That is not true, and it is worth being direct about it.

I have worked with businesses where the experience was genuinely well-designed and conversion rates were still poor. In most of those cases, the problem was not the experience. It was the product, the pricing, the competitive positioning, or some combination of all three. Marketing and experience optimisation are amplifiers. They amplify what is already there. If what is already there is weak, optimising the funnel will not save it.

This is something I feel strongly about, having seen it play out more times than I would like. Marketing is often brought in as a solution to a problem that is fundamentally not a marketing problem. A business that genuinely delights customers at every stage of the purchase experience, delivers on its promises, and gives people a reason to come back does not need to spend as aggressively on acquisition. The experience and the product work together. When they do not, you are essentially using paid media to compensate for a broken experience, which is an expensive way to run a business.

That is not an argument against experience optimisation. It is an argument for being clear about what problem you are actually solving.

Connecting the experience to Business Outcomes

The purchase experience becomes commercially useful when you connect each stage to a measurable outcome and assign accountability for improving it. Without that, it is a diagram on a wall.

At a practical level, this means defining what a successful movement from awareness to consideration looks like, what metric captures it, who owns it, and what the target is. The same logic applies at every subsequent stage. This is not complicated in principle. It is difficult in practice because it requires organisations to agree on definitions, share data across teams, and accept accountability for numbers that are genuinely hard to move.

When I was building out the performance function at iProspect, one of the more useful structural changes we made was creating a shared dashboard that showed the full funnel across paid, organic, and direct channels for each major client. Not because the data was perfect, it was not, but because it forced a conversation about the whole experience rather than each channel team defending its own numbers. The conversation changed when everyone was looking at the same thing.

There is a broader set of frameworks and tools for connecting experience metrics to business performance in the Customer Experience section of The Marketing Juice, which covers measurement, retention, and the commercial logic of CX investment in more depth.

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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