User Journey Mapping: How to Find Your Customers’ Pain Points

The customer journey is not a straight line from ad to purchase. McKinsey calls it a “decision journey”: a cycle of awareness, consideration, purchase, use and loyalty.

For ecommerce owners this means that if you only optimise the checkout, you ignore 80 per cent of the levers that lead to a conversion. In this article we show how to use user journey mapping to find your customers’ pain points and remove them. The journey starts long before the first page visit and ends long after the purchase.

According to the Aberdeen Group, companies that map and optimise their customer journey systematically raise their marketing ROI by 54 per cent on average. A McKinsey meta-analysis of thousands of projects puts the conversion uplift at 20 to 30 per cent. These numbers are not theory. They come from documented projects with measurable before-and-after comparisons.

What user journey mapping really does

A journey map is not a pretty diagram for the marketing team. It is a structured analysis tool that lays the customer’s view over every touchpoint. The key difference from the classic sales funnel: the funnel shows how many users reach each stage. The journey map shows what they feel and think along the way, and which obstacles they hit.

The value sits in the gap between those two views. If the funnel shows that 40 per cent of users abandon at checkout, and the journey map shows they are frustrated because shipping costs only appear in step three, you have a causal explanation instead of a correlation.

The fix, showing shipping costs on the product page, costs nothing and cuts the abandonment rate by 15 to 20 per cent. That kind of insight is the core product of journey mapping.

The five stages of the ecommerce journey in detail

Stage 1: Awareness, the moment a problem is noticed

The potential customer notices a need or a problem. The touchpoints: Google search, social media, podcasts, word of mouth, price comparison sites. The central question: are you found at all, and if so, what is the first impression?

Data shows that 81 per cent of buyers research online before they buy (GE Capital Retail Bank, 2023). The top three organic search results get 54.4 per cent of all clicks (Backlinko, 2024).

If you are not there, you do not exist for most buyers. That is why awareness is not a marketing luxury. It is the entry point to every later sale.

Stage 2: Consideration, the comparison process

The customer weighs up alternatives. They visit your shop and your competitors’ shops. They read reviews on Trustpilot, Google Business or Amazon. They check prices, shipping terms and return policies. This is where you either make the shortlist or drop out.

The average consideration stage in ecommerce lasts 2.8 days and covers 4.2 separate website visits (Think with Google). If your site is not consistent between those visits, with changing prices, shifting stock levels or lost baskets, you lose trust. The customer starts to wonder whether this company is reliable at all.

Stage 3: Decision, the critical conversion moment

The basket is full. Now every bit of friction counts. Baymard Institute identified the five most common reasons for abandonment:

• Unexpected shipping costs (48 per cent of abandonments)
• Forced account creation (24 per cent)
• A checkout that is too complicated (18 per cent)
• Total cost not visible early enough (16 per cent)
• Website errors or crashes (13 per cent)

Each of these shows up on the journey map as an emotional drop, a point where customer satisfaction falls. The skill lies in quantifying these drops and ranking them.

Stage 4: Retention, the post-purchase experience

The purchase is done, but the journey goes on. Onboarding (using the product, instructions), delivery communication and support decide whether the customer comes back. The probability of getting an existing customer to buy again is 60 to 70 per cent. For a new customer it is only 5 to 20 per cent (Marketing Metrics, Farris et al.).

These numbers make the point: optimising retention pays better than optimising acquisition. A euro invested in the post-purchase experience typically creates five to seven euros more value than a euro spent on new traffic sources.

Stage 5: Advocacy, the enthusiastic recommender

Your best marketing channel is a delighted customer. Net Promoter Score (NPS) research shows that promoters (customers scoring 9 to 10) recommend three new customers on average. Detractors (scoring 0 to 6) tell nine people about their bad experience. Advocacy is not a nice-to-have. It is the most efficient growth lever a company has.

Method: how to build a valid journey map

The quality of a journey map depends on the data behind it, not on the design. We recommend a mixed-methods approach that combines quantitative breadth with qualitative depth:

1. Quantitative base: Google Analytics 4 (path exploration, engagement rate, conversion paths), CRM data (customer lifetime value, retention rate), heatmaps and session recordings for behaviour on every page.
2. Qualitative depth: customer interviews (5 to 8 per persona, 45 minutes each), support ticket analysis (frequent questions point to frequent pain points), usability tests with a think-aloud protocol. The Academy track UX & User Research for E-Commerce ↗ goes deeper into these research methods.
3. Synthesis: combine both data sources in one visual timeline. Each stage gets touchpoints, emotions (as a curve over time), pain points (as negative peaks) and opportunities (as positive potential).

The most important rule: one journey map per persona. If you map B2B and B2C customers, occasional buyers and regulars all at once, you get a generalisation nobody can act on. A map that applies to everyone applies to no one.

Journey mapping tools: from starter to enterprise

Your 90-day roadmap to systematic journey mapping

Building journey maps into company strategy

A journey map gathering dust in the marketing team is worthless. Its strategic value only appears once the map feeds into day-to-day processes. That means product management uses the map to prioritise features. Customer service trains its staff on the pain points found. The development team judges every new release by whether it improves or worsens the journey.

A proven model is the “journey governance board”: a monthly meeting of people from marketing, product, tech and support who review the current map, assess progress and set new priorities. The board makes sure the journey map stays a living steering tool, not a static document.

From journey map to business case

Every pain point you find can be turned into a business case. Example: the journey map shows that 28 per cent of customers drop off in the retention stage because delivery tracking is poor.

The fix: a proactive SMS or email for every shipping status update. The cost: 0.02 euros per message. The saving: 15 per cent fewer “where is my parcel?” support tickets. The ROI: positive within three months.

A quantified business case like this convinces management far better than a general appeal for a “better customer experience”. Data before dogma, inside the company too.

Cross-channel journey mapping: when the customer is everywhere

The modern customer journey is not limited to your website. A typical path to purchase runs through Instagram (discovery), Google (comparison), newsletter (offer), desktop site (order) and app (repeat purchase).

Each of these channels has its own rules, its own data and its own owners. The journey map is the only tool that pulls this fragmented reality into one coherent picture.

The challenge: most companies analyse channels in isolation. The social media team optimises engagement. The ecommerce team optimises conversion. The CRM team optimises retention. Nobody sees the customer’s journey across those boundaries. A cross-channel journey map forces you past these silos and gives everyone a shared language.

The future of journey mapping: AI and predictive analytics

Artificial intelligence is changing journey mapping at its core. Instead of looking back with maps built on historical data, predictive analytics lets you build forward-looking maps: where will the customer drop off next? Which touchpoint has the strongest influence on conversion? Which micro-moments matter for loyalty?

Tools such as Salesforce Einstein, Adobe Sensei and IBM Watson Customer Experience Analytics analyse millions of customer journeys and find patterns that human analysts cannot see. The human factor still matters, though. AI shows the “what”, but only people can understand the “why” and design empathetic solutions. The future is hybrid analysis: AI pattern recognition combined with human judgement.

Journey mapping for different customer segments

No single journey map fits every customer. A first-time buyer has different touchpoints, expectations and pain points from a regular. A B2B buyer goes through different stages from a B2C impulse buyer. Segmenting your maps is what makes them actionable.

Recommended approach: start with one map for your most valuable segment (usually regular buyers or the highest-margin new customers). That map delivers the highest ROI. Then expand step by step to other segments. Resist the temptation to build a “universal map”. It ends up so general that it is useful to no one.

Conclusion

User journey mapping is not a one-off creative exercise. It is a management tool for the customer experience and needs to be run as systematically as financial control or supply chain management.

If you understand the customer’s journey, you stop investing in features nobody uses and remove exactly the friction that costs conversions. The ROI is measurable, the process can be learned, and the competitive edge lasts.