DEV Community: funpal10-byte

Customer Journey Mapping That Survives Contact With Reality

funpal10-byte — Wed, 19 Aug 2026 07:59:00 +0000

A B2B customer journey map survives contact with reality when it is built on three things: the real buying group rather than a single persona, evidence from your own systems rather than a workshop whiteboard, and a named owner for every stage. Most maps fail because they have none of the three.

I once commissioned a journey mapping exercise across four Asian markets. Three days of workshops, an external facilitator, sticky notes in five colours, and an A0 poster at the end of it. Eighteen months later I found that poster rolled up behind a filing cabinet. Nobody had opened it since the week it was printed.

The thinking in it wasn't wrong. It was unowned, undated and unfalsifiable, and those three properties reliably get a document ignored inside a business with quarterly targets. This is a guide to doing it the other way.

Why do most B2B journey maps fail?

Because they map a person, and B2B buying is done by a committee. Forrester's 2026 buyer research puts the typical business buying decision at 13 internal stakeholders plus nine external influencers. Its 2024 edition found 89% of purchases involve two or more departments. A map with one smiling persona at the top cannot explain the thing a map exists to explain: why deals stop.

And they do stop. That same 2024 Forrester study found 86% of B2B purchases stall at some point in the process, and 81% of buyers were dissatisfied with the provider they eventually chose. Procurement professionals are decision-makers in 53% of business buying cycles, according to the 2026 study. If your journey map has no procurement lane, it is missing the single most common reason your deal is sitting still.

The second failure is quieter. A journey map presumes the customer is on a journey. Research by Professor John Dawes at the Ehrenberg-Bass Institute, conducted with the LinkedIn B2B Institute, established that roughly 95% of business buyers are not in the market for a given category at any moment. Your map describes the 5%. Most of your budget is spent reaching the rest, which is a separate job and one I've argued about before in why brand awareness is the wrong metric to track.

Start with the buying group, not the buyer

Gartner's B2B buying research is blunt about how little of this involves you. Three-quarters of B2B buyers say they prefer a rep-free sales experience. Ninety-nine percent of B2B purchases are triggered by an organisational change rather than by a campaign. And buyers who use supplier-provided digital tools alongside a sales rep are 1.8 times more likely to complete a high-quality deal, which tells you the answer is not to remove the rep but to arm the buyer.

McKinsey's B2B Pulse work, published in April 2023, found buyers now move across about ten channels during a purchase, double the five they used in 2016, and that around 70% of decision makers are willing to spend up to $500,000 through a self-serve digital channel.

So the working unit of a B2B journey map is not "the customer". It is a role, at a stage, on a channel. Three coordinates, not one. The moment you write it that way, the map stops being a poster and starts being a grid you can populate with evidence.

Five checks that decide whether a map survives

I now run every journey map, mine or an agency's, through the same five checks before anyone is allowed to present it. A map that fails two of them goes back.

| Check | The question it answers | What fails it

| Ownership | Whose quarterly objective moves if this stage improves? | Stages owned by "the business" or by a committee

| Evidence | Which system did this stage's timing come from? | Durations estimated in a workshop and never checked

| Falsifiability | What would we observe if this map were wrong? | Maps written so generally that no data could contradict them

| Group coverage | Does every role in the buying group appear, including procurement and the sceptic? | One persona, usually the friendliest one

| Expiry | What is the review date, and who called it? | No date, which in practice means never

The expiry check is the one people resist and the one that matters most. A journey map that nobody has to update is not a management tool. It is a poster.

What data should a B2B journey map be built on?

Five sources, in descending order of how much I trust them.

CRM stage-change timestamps. Not the pipeline value, the timestamps. The gap between "proposal sent" and "commercial review" is the truest thing your CRM knows about your journey.
Win/loss interviews, done by someone who did not own the deal. Fifteen conversations will teach you more than any survey panel.
Service and support tickets from the first 90 days post-sale. Onboarding failures are journey failures that happen after the map usually ends.
Self-serve behaviour. Pricing page visits, spec-sheet downloads, quote-tool abandonment. Since most buyers now prefer to do this unaccompanied, it is often the only visible evidence of an active deal.
Tender and procurement documents. Tedious, and the most honest statement of evaluation criteria you will ever get.

Notice what is absent from that list. Relationship survey scores sit near the bottom for journey work, for reasons I set out in what NPS never tells you about a B2B account. A score tells you the temperature. It does not tell you which stage caused it.

The one-page format that replaced my poster

Columns are buying-group roles: economic buyer, technical evaluator, operational user, procurement, and the internal sceptic every deal has. Rows are stages, in your language, not a textbook's. Each cell holds three lines and no more: what that role needs at that stage, who owns supplying it, and the evidence that the need is real.

That constraint is deliberate. Anything that doesn't fit on one page doesn't get read in a review meeting, and a journey map that isn't reviewed in a meeting has no mechanism to change anything.

The gap this format exposes fastest is coordination. Salesforce's sixth State of the Connected Customer study, covering 3,300 business buyers in 2023, found 73% say most sales interactions feel transactional and 55% feel they are engaging with separate departments rather than one company. Those are not messaging problems. They are handover problems, and handovers only become visible when you draw the map by role.

Does journey mapping still work at all?

It works, but the practice has a poor record and it is worth being honest about that. Gartner reported in July 2018 that almost one-third of organisations still had difficulty incorporating journey maps into their CX efforts at all. Eight years on, I don't see that number improving in the rooms I sit in.

Outcomes suggest the same. In Forrester's 2025 Global CX Index, built on more than 275,000 customer perceptions across 469 brands in 13 countries, 21% of brands declined and only 6% improved. In Asia Pacific, 37% of brands' scores fell. An enormous amount of journey mapping happened during those years. Very little of it moved a score.

My reading is that mapping is a diagnostic, and organisations keep treating it as an intervention. Drawing the journey is the cheap part. Assigning the stage to somebody with a target attached is the part that changes anything.

What this means for you

If you are about to commission a journey mapping exercise, do four things differently.

Budget for the second version. The first map is a hypothesis. Book the review before you book the workshop.
Put a name in every stage cell. Not a function. A person who will be in the room at the next quarterly review.
Map the loss, not the win. Build the first version from ten deals you lost and one you won. The failure path is where the information is.
Keep it in the operating rhythm. A map reviewed monthly alongside the pipeline stays alive. A map reviewed annually is a poster with a date on it.

The industry context matters here too. India's logistics sector employs over 22 million people and the country is working to bring logistics costs below 10% of GDP by 2030, according to a Press Information Bureau paper from August 2025. In sectors moving that fast, a journey map built in March is describing a different business by September. That is an argument for shorter maps reviewed more often, not longer ones reviewed less. I've written about the related problem of selling brand work inside engineering-led firms in marketing inside a manufacturing company, and about a CX programme that only half-worked in this account-level post-mortem.

Frequently asked questions

What is customer journey mapping in B2B?

A B2B customer journey map documents how a buying group moves from trigger to purchase to renewal. Forrester's 2026 research puts that group at 13 internal stakeholders plus nine external influencers. A usable map records what each role needs at each stage, who owns supplying it, and the evidence behind the claim.

Why do B2B journey maps fail so often?

Three reasons dominate. They describe a single persona instead of a buying committee, so they cannot explain why a deal stalls. They use workshop estimates rather than system timestamps, so no data can contradict them. And they carry no owner and no review date, which means nobody ever updates them.

What data should a B2B journey map be built on?

Rank your sources. CRM stage-change timestamps first, then win/loss interviews run by someone outside the deal, then support tickets from the first ninety days after signing, then self-serve behaviour such as pricing-page visits and quote abandonment, then procurement and tender documents. Relationship survey scores rank last for journey work.

How often should a B2B journey map be reviewed?

Quarterly at minimum, and monthly if your category is moving quickly. Set the review date when you commission the map rather than afterwards, and name the person who calls it. A map without an expiry date is never revisited, which is how most of them end up behind a filing cabinet.

Is journey mapping worth the cost for a mid-sized B2B company?

Yes, if you treat it as a diagnostic rather than a project. A one-page map built from ten lost deals costs a fortnight of internal effort and usually exposes at least one broken handover between sales, marketing and service. A three-day facilitated workshop that produces a poster rarely repays itself.

The uncomfortable part of all this is that journey mapping mostly fails for organisational reasons, not analytical ones. The map is usually right. Nobody owns the stage it points at.

So here is the question worth taking into your next planning session: if you pulled up your current journey map today, could you name the person whose quarterly objective moves when stage three improves? If you can't, that gap is the work, not the map. I'd like to hear how you've solved it â€” tell me on LinkedIn.

Marketing in a Manufacturing Company: How to Win Engineers

funpal10-byte — Sat, 15 Aug 2026 10:17:19 +0000

Marketing in a manufacturing company fails for one reason, and it isn't the work. It's the currency. Engineers accept evidence, tolerance and repeatability; most brand decks offer adjectives. Reframe brand as demand-risk reduction and the argument changes, because 70% of technical buyers pick the better-known brand when two solutions are technically equivalent.

The first brand review I presented inside an engineering-led business ran eleven minutes before someone asked, politely, what the payback period was. Not the ROI — the payback period, in months, the way you'd ask about a conveyor upgrade. I didn't have one. I had reach, share of voice, and a nicely typeset positioning statement. The meeting ended early and I deserved it.

Fourteen years later I've run brand and communication inside tractors, trucks, printers, freight and now steel. The pattern repeats in every one of them, and so does the fix. What follows is the version I'd give my younger self before that eleven-minute meeting.

Why does marketing lose the argument inside engineering-led companies?

Because it asks to be believed rather than measured, in a building where nothing else is.

An engineering-led company runs on an evidentiary culture. A design change carries a test report. A supplier change carries a qualification trial. A capex request carries a payback in months. Then marketing arrives with a campaign proposal whose supporting evidence is a benchmark from a different industry and a slide titled "why brand matters."

This isn't anti-marketing prejudice. It's consistency. The same room would reject an unvalidated bearing spec with exactly the same politeness. The mistake marketers make is diagnosing it as hostility and responding with more persuasion, when the actual gap is procedural.

There's a scale problem underneath it too. India's manufacturing sector grew 8.4% in the first half of FY26 and holds a roughly 17–18% share of the economy, according to the Economic Survey 2025-26. These are large, capital-heavy businesses where a marketing budget looks like a rounding error next to a plant expansion — and is scrutinised harder precisely because nobody can point to the machine it bought.

How much of the decision is made before sales gets a meeting?

Most of it. The 6sense 2025 B2B Buyer Experience Report, based on more than 4,000 buyers, found that 94% of buying groups had already ranked their preferred vendors before first contact with a seller — and that the pre-contact favourite goes on to win the deal roughly 80% of the time. Sellers confirm decisions now. They rarely create them.

The technical-buyer data says the same thing from the other side. The 2026 State of Marketing to Engineers study from TREW Marketing and GlobalSpec found engineers spend 62% of the buying journey researching online, 53% say brand familiarity influenced their most recent purchase, and 70% are more likely to choose the better-known brand when comparing technically similar options.

That last figure is the whole argument, and it is the one to put on the first slide. It says the specification sheet stops being the tiebreaker at the exact moment two suppliers can both meet spec — which, in a mature industrial category, is most of the time.

Translating brand into a language engineering already accepts

The reframe that worked for me: stop selling brand as awareness and start selling it as procurement-risk reduction. A plant head choosing a supplier is not buying a feeling. They are buying the probability that the line doesn't stop. Familiarity is a proxy for that probability, and it is priced into the decision whether or not anyone admits it.

Brand in a manufacturing company isn't a communications budget. It's a procurement-risk discount you pay for once and collect on for years.

Here is the translation table I now use in the first meeting with any new engineering stakeholder.

| "We need to build awareness" | Unfalsifiable spend | "We need to be on the shortlist before the RFQ is written" | Share of shortlist appearances per quarter

| "This campaign drove engagement" | Vanity metric | "Enquiries from unqualified accounts fell; enquiries from target accounts rose" | Enquiry mix by target-account list

| "Our brand is trusted" | Assertion without test | "Buyers who knew us before the RFQ closed at a higher rate" | Win rate split by prior familiarity

| "We should invest in thought leadership" | Content for its own sake | "Technical buyers research for months without contacting sales; we should be what they find" | Inbound RFQs citing published material

| "Rebranding will modernise us" | Cost with no output | "Nine sub-brands are splitting the recognition one name should be earning" | Recognition per name, cost per name maintained

None of these are new metrics. They're existing commercial metrics, cut by a brand variable. That distinction matters more than it sounds: you're not asking the business to adopt your dashboard, you're asking to add one column to theirs.

Four moves that earned the function credibility

1. Borrow the engineering evidence standard, publicly. Every claim I made carried a source, a year and a sample size, the way a test report does. When I couldn't source something, I said so in the meeting rather than rounding it into a confident sentence. Credibility in that room is built by the things you decline to claim.

2. Start with the aftermarket, not the flagship. Deloitte's 2026 Manufacturing Industry Outlook notes that aftermarket services carry margins more than twice those of equipment sales. Aftermarket is also where marketing can show a short payback period, because the buying cycle is weeks rather than years. Win there first. The flagship budget gets easier to defend once you've already produced a number.

3. Put engineers in the content, not marketers. The 2025 Edelman-LinkedIn B2B Thought Leadership Impact Report, fielded among 1,934 executives, found 71% of hidden decision-makers have little or no interaction with sales, and 79% are more likely to advocate for a proposal from a company that consistently produces high-quality thought leadership. It also found 86% want perspectives that challenge their assumptions. Your application engineers already hold those perspectives. My job stopped being to write and became to extract, structure and publish.

4. Show up where the buying group actually is. McKinsey's 2024 B2B Pulse, covering nearly 4,000 decision-makers across 13 countries, found buyers now use an average of ten interaction channels, up from five in 2016, and that e-commerce has become the top revenue-generating channel at 34% of revenue. A plant buyer and a procurement head do not use the same three channels, and neither of them reads the corporate brochure.

The uncomfortable part of move three is that it makes marketing look smaller. You become the function that makes other people credible. That is exactly the trade that buys you the budget conversation eighteen months later.

What should a manufacturing marketing budget actually look like?

Lower than the cross-industry benchmark, and that's fine. Gartner's 2026 CMO Spend Survey of 401 marketing leaders puts average marketing budgets at 7.8% of company revenue, with 56% of CMOs saying they don't have enough to deliver the strategy. Quoting that 7.8% inside a heavy-industry business is a mistake — it's a blended figure dominated by categories with far higher gross margins and far shorter purchase cycles.

Bring the shape of the argument instead of the number. I've written separately on how much a B2B company should actually spend on brand, and the short version holds here: argue from category economics and purchase cycle length, never from a benchmark table.

Purchase cycle length is the argument that lands hardest in manufacturing. Professor John Dawes at the Ehrenberg-Bass Institute established the 95-5 rule in 2021: at any moment up to 95% of business buyers are not in the market, because firms change major suppliers roughly every five years. In capital equipment the replacement cycle is longer still. Every rupee of in-quarter lead-gen is fishing in a pond containing a small fraction of your buyers — which is a sentence a finance director understands immediately, because it's an inventory-turns argument wearing different clothes.

The mistake I'd warn you against

Don't fight for the word "brand" in year one. I did, twice, and both times I won the vocabulary and lost the budget.

In a product-led company, marketing should give up the word "brand" for the first year and earn the right to use it back. Talk about shortlist presence, enquiry quality, win rate by familiarity, cost per qualified RFQ. These are the same activities. They are simply named in a way that survives a plant review. Once two consecutive quarters show the pattern, you can put the word back on the slide and nobody objects, because by then it refers to something with a history.

The related trap is over-claiming attribution. Manufacturing buying groups are large, slow and multi-touch. A model that confidently attributes a ₹4 crore order to a LinkedIn campaign will be tested by someone who models mechanical systems for a living, and it will not survive the test. Under-claim. Show correlation, name it as correlation, and let the pattern accumulate.

What this means for you

If you're the first or only marketer inside an engineering-led business, here is the sequence I'd run.

Week one: get the last twelve months of won and lost deals, and tag each by whether the buyer had prior familiarity with you. This single cut is usually the most persuasive slide you will ever build.
Month one: pick one aftermarket or spares category with a short cycle and run a measurable campaign against it. Publish the result including what didn't work.
Month two: interview four application engineers and publish four technical pieces under their names. Not case studies — genuinely useful answers to questions buyers are already searching.
Month three: build the shortlist-presence metric and report it monthly alongside the sales pipeline, in the same deck, in the same format.
Quarter two: only now propose the brand investment. You'll be arguing from your own data instead of someone else's benchmark.

Two related pieces if you're building this function from scratch: why B2B brand awareness is the wrong metric to track covers what to measure instead of recall, and marketing in the supply chain deals with the specific problem of selling an invisible service. If your business runs multiple product names, the five-layer brand architecture framework is the place to start before you spend anything on campaigns.

One more thing worth holding onto. Deloitte's 2026 outlook estimates that more than 81% of task hours in manufacturing will remain human-driven even as smart-manufacturing investment accelerates. The buying decisions in this sector are still made by people who visit plants, remember bad shutdowns, and carry supplier reputations in their heads for a decade. That is a brand argument. It just needs to be said in a language the building already speaks.

So the question I'd put to any marketer inside a product-led company: if your CFO asked tomorrow for the payback period on brand, in months, what would you actually say — and what data would you need to have started collecting six months ago to say it? I'd like to hear how you'd answer that, on LinkedIn.

Why B2B Brand Awareness Is the Wrong Metric to Track

funpal10-byte — Thu, 06 Aug 2026 19:26:48 +0000

Brand awareness is the easiest number in marketing to move and the least useful one to defend a budget with. If your KPI dashboard leads with an awareness score, you are very likely measuring the wrong thing — and the CFO reading it over your shoulder can tell, even if they can't say exactly why.

I found this out the expensive way. Early in a stint running regional brand for an industrial manufacturer, I walked into a quarterly review with an awareness slide showing a 6-point lift across three markets. It landed flat. The sales head across the table asked one question: "Did we sell more trucks." I didn't have a good answer, and the campaign budget for the following quarter was cut by a third. The awareness number was real. It just wasn't connected to anything the room cared about.

What awareness actually measures

Unprompted and prompted brand awareness tell you whether people recognise your name when asked. That's it. They don't tell you whether your brand comes to mind unprompted, at the moment a buyer actually starts a purchase process, in the specific situation that triggers a search for a vendor like yours. That distinction — recognition versus retrieval at the moment of need — is the entire argument against using awareness as a primary KPI.

The Ehrenberg-Bass Institute's research on mental availability, built largely by Jenni Romaniuk, reframes this well: what predicts purchase isn't whether someone has heard of you, it's whether your brand is linked in memory to the specific triggers — the "category entry points" — that send a buyer looking for a solution. A logistics buyer doesn't wake up thinking about freight brands in the abstract. They think about it when a shipment is delayed, when a contract is up for renewal, or when a new plant needs a supply chain built from scratch. Those are entry points. Awareness scores don't touch them.

Why the 95-5 rule makes awareness even less useful

LinkedIn's B2B Institute has been pushing a number that should reset how most B2B marketers think about targeting: at any given time, roughly 95% of your buyers aren't in-market, and only about 5% are actively ready to buy. An awareness campaign optimised for broad reach is, by definition, mostly talking to people who cannot act on it this quarter. That's not wasted spend in the way performance marketers mean it — brand building for the 95% is real and it compounds — but it means the awareness number you're reporting this quarter has almost no relationship to revenue this quarter, and reporting it as if it does sets you up for exactly the conversation I had with that sales head.

Harvard Business Review's research on B2B buying puts a sharper point on where the real battle happens: 80 to 90% of buyers arrive with a self-researched shortlist already built before they ever talk to a vendor, and roughly 90% of the time the buyer ends up choosing from that Day-1 list. TrustRadius found something consistent with this in 2024 — 78% of buyers building a shortlist pick products they already knew of, and that number climbs to 86% among enterprise buyers. The list has also gotten shorter. Where consideration sets used to run five to seven vendors, they've compressed to three to five, sometimes one.

Put those together and the implication is uncomfortable: you are not fighting to be recognised. You are fighting for one of three to five slots on a list that gets built almost entirely before your sales team is in the room, based on associations that formed months or years earlier. Awareness tracking cannot tell you if you're winning that fight.

What to track instead

Category entry points give you something an awareness score never will: a specific, actionable list of the situations your brand needs to own. Ehrenberg-Bass research attributed to Romaniuk found that each additional category entry point a customer links to your brand reduces the risk of them defecting to a competitor by roughly 5%. Salesforce, by way of illustrating how far this can be taken, reportedly tracks 33 distinct entry points across its business. Most B2B brands don't need that many — the practical guidance from category entry point practitioners is to identify five to eight that matter most and track brand performance against each one specifically, rather than against a single undifferentiated awareness number. This is a close cousin of the storytelling problem I wrote about in brand storytelling for industrial categories — you can't tell a memorable story about a trigger you haven't identified.

Building this list isn't complicated, but it does require actual customer conversations rather than a survey template. You're listing the situations, moments, and problems that would make a buyer start thinking about your category at all — "our current 3PL missed a peak-season SLA," "we're setting up a new distribution hub," "the board asked why logistics costs are up 12%" — and then asking, for each one, whether your brand comes to mind and how strongly.

| Metric | What it tells you | What it misses

| Unprompted brand awareness | Whether people can recall your name when asked directly | Whether they'd think of you at the actual moment of need

| Prompted brand awareness | Whether people recognise your name from a list | Almost everything about purchase intent or timing

| Category entry point coverage | Which specific buying triggers link to your brand, and how strongly | Requires more setup; not a single tidy top-line number for a slide

| Shortlist inclusion rate | Whether you make the Day-1 list buyers build before contacting anyone | Hard to measure directly without buyer research or win/loss interviews

How do you present this to a board that only understands revenue?

This is the actual objection I hear most, and it's fair. A category entry point dashboard is a harder story to tell in one slide than "awareness up 6 points." The honest answer is that you tell a two-part story: leading indicators (CEP coverage, shortlist inclusion signals from win/loss interviews) paired with lagging ones (pipeline sourced from brand-attributed channels, win rate against known competitors). You do not replace awareness with nothing — you replace it with something that has a visible line, even an imperfect one, back to whether you're winning deals.

Where marketing budgets sit right now makes this more urgent

Gartner's 2026 CMO Spend Survey, based on 401 senior marketers at companies with over $1 billion in revenue across the US and Europe, put average marketing budgets at 7.8% of company revenue in 2026 — up marginally from 7.7% in 2025, but still roughly 18% lower than the average four years earlier. Budgets have not recovered to where they were, and every line item on that reduced budget gets scrutinised harder than it used to. A metric that can't explain itself to a CFO is the first one cut when the next review comes around — something I wrote about from the data-driven side in data-driven marketing and unlocking insights. I've watched it happen. It's not usually personal or even really about the number — it's that nobody in the room can connect the metric to a decision they'd make differently.

What this means for you

If your current brand tracker leads with an awareness score, don't rip it out — awareness data still has a role in understanding reach and category size. But stop leading with it in front of anyone who controls budget. Build a shortlist of five to eight category entry points specific to your business, start tracking brand association against each one, and pair that with whatever lagging revenue signal you can credibly attribute to brand activity. This is the same shift I've argued for on the supply-chain side in marketing alchemy and supply chain innovation — categories that don't think of themselves as brand-led still run on the same buyer psychology. It's a harder story to build. It's also the only one that survives the second question in the room.

Frequently asked questions

What's the difference between brand awareness and mental availability?

Brand awareness measures whether someone recognises your name when asked. Mental availability, the concept behind category entry points, measures whether your brand comes to mind unprompted at the actual moment a buying trigger occurs. The second is a much stronger predictor of whether you'll be considered when it matters.

How many category entry points should a B2B brand track?

Most practitioners recommend five to eight, built from real buyer conversations rather than a generic template. Salesforce reportedly tracks 33, but that reflects a business with dozens of distinct product lines and buying scenarios — most B2B companies don't need anywhere near that many to get useful signal.

Is the 95-5 rule exact, or a rough guide?

It's a rough guide popularised by LinkedIn's B2B Institute, not a precise measurement for every category. The number will vary by purchase cycle length and category, but the underlying point — that most of your audience isn't ready to buy at any given moment — holds directionally across almost every B2B category I've worked in.

Should marketing stop measuring awareness entirely?

No. Awareness still has a role in tracking category reach and long-term brand health. The argument here is against using it as the primary metric you defend a budget with, not against measuring it at all.

How do you get category entry points into a board presentation without losing the room?

Pair a small number of entry points (three to five, not all eight) with a lagging business metric — win rate against named competitors, or pipeline sourced through brand-attributed channels. Lead with the business number, use the entry point data to explain why it moved.

What's the metric your board actually trusts right now, and does it survive the "did we sell more" question? I'd genuinely like to know what's working in other categories.