What you'll get
- 1 copy-ready blocks
- 3 min read
- Proof match
How to use it
before any case study goes to a named account, list your proof in one line per story, paste what you know about the account underneath, and ask your AI assistant to rank which story this buyer would recognise themselves in. It must quote the matching fact for every rank. Send the one story that wins, not the three that might.
The hack: before any case study goes to a named account, list your proof in one line per story, paste what you know about the account underneath, and ask your AI assistant to rank which story this buyer would recognise themselves in. It must quote the matching fact for every rank. Send the one story that wins, not the three that might.
Why the biggest number loses
Sellers pick proof by size: the largest client, the best-known logo, the biggest result. Buyers pick by resemblance: have these people solved my problem, at my kind of company? A mid-sized logistics firm reading your famous banking case study concludes two things, that you are expensive and that you are used to someone else's problems. Resemblance is hard to judge from the inside, because you know the hidden similarities between the old project and the new account. The buyer only ever sees the surface ones, and the surface is what the ranking has to be built on.
The prompt
Proof match
Here are our case studies, one line each: industry, client size,
the problem, what we did, the outcome.
[list]
Here is what we know about [account]: industry, size, the problem
we believe they have, anything public about their situation.
[facts]
Rank the case studies by how strongly this buyer would recognise
their own situation in each. For every rank, quote the one account
fact that matches and the one that does not. If no story is a
credible match, say so and name the closest honest angle instead.
Do not invent any detail about the account or the case studies.Read the result
The quoted facts are the test. A story ranked first on a quote like "both are B2B companies" has no match, it has a category. A story ranked lower on "same ERP migration, half the company size" may be the one to send, because the buyer will see the mirror at a glance. And the most valuable answer is "no credible match": it tells you to lead with something else, a reference call, a relevant person on your team or a small paid first step, rather than stretch a story that will read as somebody else's.
Three mistakes to avoid
- Accepting a rank without its quote. Asked to rank, a model will find likeness anywhere, which is why the prompt demands the matching fact. A rank that cannot quote one is filler, and sending proof on it wastes the one attachment a first message can carry.
- Sending the top three. Three stories read as a brochure; one story reads as a judgement about what this account needs. Keep the rest for later conversations, where each has a reason to appear.
- Ranking against a thin fact sheet. The match is only as good as what you know about the account. If the facts column is two lines long, do the research first; the account research prompt pack covers how to gather it. The proposal echo check does this job later in the deal, when the document itself must mirror the account.
Make it a habit: no case study is attached to a first or second message until the match has run and the winning story can quote the account fact it matched.
Why this works on named accounts
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