Your Biggest Dream Account Might Also Be Your Worst Customer
Run the numbers on almost any B2B company's account base, and a strange pattern shows up: the top 10% of your top 20% highest-revenue accounts — your biggest logos, the ones everyone brags about in the board deck — tend to be your absolute lowest-profit accounts. They cost a fortune to land, they cost a fortune to service, and they know it, so they make unreasonable demands you have no choice but to accommodate.
That paradox sits at the centre of Episode 5 of B2B Effectiveness: Evidence-Based Marketing Ideas for B2B Practitioners, where Liam Moroney and Dale W. Harrison take on Ideal Customer Profile — and make the case that most B2B “dream account” lists are built on a B2C-shaped mistake.
The guru who couldn't define his own term
The episode opens with a story about a well-known marketing commentator who, on a recent podcast, confidently declared that anyone using an ICP is an idiot — while calling it an “ideal customer portrait” and being unable to actually define the term he was dismissing. It's a small moment, but a telling one: a lot of the loudest ICP takes come from people who've never had to build one under real sales pressure.
Why the B2C playbook breaks in B2B
In B2C, ICP is close to a non-issue. Any box of laundry detergent gets the job done, and brand preference mostly comes down to advertising spend and shelf space — there's no meaningful mismatch between the buyer and the seller. B2B is different in a way that trips up a lot of frameworks borrowed from consumer marketing, including attempts to force B2B buying into Ehrenberg-Bass-style light-buyer/heavy-buyer models built for supermarket shelves.
The analogy Dale keeps returning to: your list of dream accounts is the guy who really wants to date the hot Swedish supermodel. The question was never whether he wants to date her. It's whether she wants to date him — and the answer is usually no. Large companies have a strong, well-documented preference for buying from other large companies, or from the outright market leader. Salesforce holds roughly 85% share of the Fortune 1000 CRM market against HubSpot's 0.4%, even though HubSpot is a $2 billion company. It's a near black-swan event for a Fortune 1000 company to buy from anyone but the market leader — no matter how good the smaller product is.
Buyer-seller fit is a two-way street
The corrective Dale proposes is buyer-seller fit: it's not enough that a buyer is willing to buy from someone who looks like you. Your own sales team also has to be genuinely equipped to sell to someone who looks like them. Sales organisations develop deep, lopsided skills over time — Dale's analogy is that for most sales teams, every day is leg day or every day is arm day at the gym. A rep who's built a career selling into government accounts has learned to navigate bureaucratic procurement most competitors never bother mastering; that same rep can be strikingly bad at selling into industrials, where deals run on long-term relationships instead.
Two stories illustrate just how specific this specialisation gets. One salesperson at a startup was quietly the best rep in the company purely because he'd been assigned to the finance vertical — nobody else could replicate his results when the company tried rotating people through his patch. Another rep, at a lab-equipment distributor, blew her quota every month selling nothing but refrigerators. When Dale pushed to get her onto other accounts, her regional VP's answer was blunt: she's the best performer we have, and if all she wants to do is sell refrigerators, I'm not telling her to stop.
You can't hire your way into a new market
A common instinct when leadership wants to move upmarket is to hire experienced enterprise sellers and assume the problem was never having the right Rolodex. Dale has watched this fail far more often than succeed, because the real gap usually isn't a contacts list — it's infrastructure. When Salesforce won a major oil and gas account, they flew in a 15-person team and set up offices at the client's headquarters for six months, running data migration, training programs, and usage monitoring, entirely on Salesforce's own dime. A 2%-market-share competitor can't offer that level of hand-holding no matter who they hire, because the buyer isn't really choosing the best product — they're choosing the choice that can't get anyone fired if something goes wrong.
The same principle explains one of the more delightful stories in B2B history: the Apollo lunar spacesuit was ultimately built by the Playtex bra company, because in the 1930s they'd developed the only technology capable of bonding flexible latex to fabric. Every traditional aerospace contractor failed to build a suit flexible enough for a moonwalk. Playtex could make the suit — but had no idea how to navigate government procurement. NASA's fix was to force a joint venture between Playtex and the aerospace firm Hamilton, pairing the only company that could build the product with the only one that knew how to sell it into the government. Fit has to work on both sides, or the deal doesn't happen no matter how good the product is.
A working framework, layer by layer
Toward the end of the episode, Dale sketches out the model the series has been building toward: broad ICP fit (are they the kind of company that ever buys this category at all), in-market fit (are they actually buying right now), consideration set eligibility (are they willing to consider a company that looks like you), conditional win probability (are you actually equipped to beat the competition for them), and finally a CLTV-based tiebreaker for when two leads score identically everywhere else. None of these produce certainty — they produce a probability, which is the entire point of thinking in bets rather than chasing a deterministic score.
The reassuring finding buried in all of this: relative market share is remarkably stable, often for a decade or more, even while a whole category grows tenfold. That means the type of buyer willing to put you in their consideration set doesn't shift quickly — so building an honest, historically-grounded picture of who you actually win against, rather than who leadership wishes you could win, isn't just more accurate. It stays accurate for years.
Next week, Dale goes solo to get into the messy technical details of what building this kind of scoring system actually looks like in practice.
