Customer Journey Mapping

Scope the map to one persona and one goal

Pick a couple in their late twenties moving into a first rented flat in a metro, with the goal of furnishing a living room and bedroom for under EUR 1,500, triggered by the move-in date. The journey starts weeks before any store visit, at inspiration on Pinterest and Instagram, and ends twelve months later either with a repeat visit for add-ons or with the customer telling friends never to buy a wardrobe again. Deliberately exclude two other journeys and say so out loud: the trade and small-business buyer, and the visitor who comes mainly for the restaurant and buys nothing. That second group matters because it is commonly cited that roughly a third of visitors eat in store, so food is a traffic driver, not a rounding error.

Rewrite the spine in IKEA's own stages

The generic six stages are useless here. The real spine is Inspiration, Plan the room, Travel to the store, Walk the showroom, Find it in the Market Hall and self-serve warehouse, Queue and pay, Get it home, Assemble it, Live with it, and finally Replace or dispose. Two features jump out immediately once you write it this way. First, four of the ten stages happen after the customer has already paid, which is exactly where a store-centric organisation stops looking. Second, the stages are not equally long: Travel, Assemble and Live-with-it can each consume more of the customer's time than the entire in-store visit.

Add touchpoints, emotions and — critically — the internal owner

Marketing owns Inspiration through the catalogue and social feeds; store operations owns the showroom and the warehouse; logistics owns delivery; customer service owns spares and returns. Now map the emotional curve against those owners. It peaks twice, in the showroom room-sets and again at the restaurant mid-walk, then falls hard in the self-serve warehouse when the article number does not match the bin or the box is out of stock, and falls again at Get it home and Assemble. The single most important line on the whole map is that the two deepest emotional troughs, transport and assembly, had no internal owner at all — the customer owned them. Un-owned stages are where journeys leak, and this is the textbook case.

Attach numbers and rank the leaks by size of prize

Two leaks dominate on arithmetic, not on how painful they feel. Leak one is the customer who never enters the funnel: a metro renter without a car cannot realistically bring home a wardrobe, so the journey dies at Travel and Get it home before a single euro is spent. In India this is the binding constraint, with household car penetration in the high single digits, which is why the get-it-home stage is a hard gate rather than an inconvenience. Leak two is post-purchase: a three-hour assembly with a missing dowel produces returns, service calls and the negative word of mouth that suppresses the referral stage. Size them the lazy way — at roughly 800 million visits, adding just EUR 1 of average spend per visit is worth about EUR 0.8 billion, so even small conversion or basket improvements at scale beat heroic fixes at low-traffic stages.

Five Whys — and discover the pain is load-bearing

Why is assembly hard? Because furniture ships flat-packed and unassembled. Why? Because flat packing cuts shipping volume and removes assembly labour from the cost base. Why does that matter? Because that saving is what funds the price point the whole brand is built on. So the fifth why lands somewhere uncomfortable and genuinely useful: this pain is designed in, and removing it by shipping assembled furniture would destroy the business model. That reframes the recommendation completely. You do not redesign the core journey; you sell an optional convenience layer on top of it to the segment that will pay to skip the pain, while leaving the cheap self-service path intact for everyone else.

The fixes IKEA actually shipped, mapped back to the stage they repair

Each real-world move lines up with one leaking stage. Acquiring TaskRabbit in 2017 put a named owner and an on-demand labour pool on the Assemble stage, converting a complaint into a paid service. Home delivery and click-and-collect attack Get it home. City-centre small-format stores and planning studios — including in Indian metros alongside the large Hyderabad, Navi Mumbai and Bengaluru boxes — attack Travel to the store by moving the store to the customer instead of moving the customer to the store. The room planner and AR app pull the Plan stage earlier and raise basket size by getting the customer to a considered list before arrival, and buy-back and resale programmes finally give the Replace stage an owner. Note the pattern: none of these were advertising decisions; every one was a service, format or partnership decision.

Scope: one buyer, one goal, one journey

Map the first-time EV buyer, aged 25 to 40, salaried, in a Tier-1 or large Tier-2 city, replacing or upgrading from a petrol Activa or Jupiter, triggered by a petrol bill crossing roughly ₹2,000 a month. The journey starts at a YouTube review or a colleague's scooter and ends at a referral twelve months later, not at the invoice. Flag the two journeys you are excluding for now and why: the gig-economy delivery rider, whose economics and financing profile are completely different, and the fleet buyer, which is a B2B sale. Announcing this scoping takes fifteen seconds and stops the interviewer from thinking you have one undifferentiated blob called the customer.

Build the India-specific spine — the extra stages are where the money is

The textbook spine hides everything that matters here. The real stages are Awareness, Consideration, Test ride, Booking with token, Financing, Registration and insurance, Delivery, Home charger installation, Ownership and service, and Referral. Three of those are not generic marketing stages at all: financing, RTO registration on VAHAN with the high-security number plate, and the third-party electrician who installs the home charger. Notice who owns each: marketing owns the first three, sales owns booking, an external NBFC owns financing, a single RTO agent per state owns registration, and a vendor electrician owns installation. Every stage after Booking is owned by someone outside the company, which is exactly the pattern that predicts a leak.

Put numbers on it and rank the leaks

Per year: 12,00,000 site and app sessions, 1,80,000 test-ride slots requested, 90,000 test rides actually taken (a 50 percent no-show rate), 1,20,000 bookings, and 38,000 deliveries. So booking to delivery loses 82,000 customers who had already paid a token, which at ₹20,700 of contribution a unit is roughly ₹170 crore of contribution sitting in the leak — more than any plausible campaign could add at the top. Splitting the 82,000 by reason code: about 34,000 fell at financing rejection, about 26,000 cancelled during a nine-week wait between token and delivery, and about 22,000 walked when a state subsidy changed the on-road price after booking. Meanwhile the referral rate is 6 percent against roughly 14 percent for the category leader. The top of the funnel is healthy; the CMO's campaign would pour more customers into a pipe that already loses two out of three.

Five Whys on the biggest leak: financing

Why do 45 percent of finance applications fail? Because a single NBFC partner underwrites at a CIBIL cut-off of about 720. Why that cut-off? Because the partner prices the EV two-wheeler as a high-risk asset. Why high risk? Because there is almost no resale price history for a five-year-old electric scooter, so the lender cannot estimate the residual value it would recover on default. Why does that matter to a salaried buyer with a stable income? Because thin-file young buyers are being rejected on asset risk, not on their own credit risk. The root cause is therefore not a marketing problem or even a credit problem — it is the absence of a residual-value guarantee, which is something the manufacturer, not the lender, is uniquely able to provide.

Five Whys on the second leak: the nine-week wait

Why do customers cancel between token and delivery? Because the wait averages nine weeks and they have no visibility into it. Why nine weeks? Because registration is batched and submitted weekly by one RTO agent per state, adding three to four weeks on top of the supply lead time. Why is it batched? Because operations classifies registration as back-office paperwork rather than as a customer-facing stage, so nobody measures it and nobody staffs it at the store. Meanwhile the home charger installation is only scheduled after delivery, taking another three weeks, during which the customer owns a scooter they cannot conveniently charge — which is why installation-week tickets account for a large share of early detractors and drag the referral rate down.

Recommend, size and sequence with an owner and a metric each

Fix one, owned by the finance head: replace the single lender with a three-lender waterfall plus a brand-backed buyback assurance that gives lenders a floor on residual value, targeting approval rates from 55 to 75 percent. On 78,000 finance-seeking bookings that is about 15,600 extra approvals; assuming 70 percent convert through to delivery, roughly 10,900 units, or about ₹22 crore of contribution. Fix two, owned by operations: register at the dealership on VAHAN with a dedicated desk in the top 20 stores and send a weekly status SMS, cutting the wait from nine weeks to about four and recovering perhaps 8,000 of the 26,000 wait-driven cancellations, or roughly ₹16 crore. Fix three, near-zero cost: pre-schedule the charger installation at booking so it completes before delivery day, which protects the referral rate rather than adding units directly. Pilot fixes one and two in four cities for ten weeks, tracking approval rate, token-to-delivery days, cancellation rate and 90-day referral rate, and hold festive spend flat until booking-to-delivery conversion clears 50 percent.