Stop explaining features. Start naming the problem.
Feature lists describe the product. Buyers are shopping for the problem you remove — and they can only recognise it in their own words.
Nobody wakes up wanting your feature. They wake up with a problem, spend a while deciding it is worth solving, and only then start looking. By the time they reach your homepage they are not evaluating capabilities — they are scanning for evidence that you understand the specific mess they are in. Most software copy fails that scan in about four seconds, not because it is badly written, but because it is answering a question nobody asked.
The tell is easy to spot. Read your homepage aloud and count how many sentences describe what the product does versus what was wrong before. If the ratio is lopsided toward the first, you have written documentation with a nicer typeface.
Why feature copy feels safe
Features are the thing you actually control. They are concrete, they are defensible, and everyone internally agrees they exist. Problems are messier: naming one means choosing which buyer you are for, and admitting that some visitors are not it. That is uncomfortable, so teams retreat to describing the machinery.
It also happens by proximity. After a year of building, the feature is the interesting part to you. The bug you fixed, the integration you shipped, the thing that finally works — those feel like the news. To someone arriving cold they are trivia about a product they have not yet decided to care about.
Your buyer is not comparing your features to a competitor’s. They are comparing doing something to doing nothing.
Naming the problem in their words, not yours
There is a specific failure that looks like problem-led copy but is not. It names the problem in category language: “fragmented workflows”, “lack of visibility”, “manual processes”. These are abstractions invented by vendors, and no buyer has ever typed one into a search bar at eleven at night.
The version that works uses the sentence the buyer would actually say:
- Not “improve cross-team visibility” but “nobody can tell you which customers are about to leave”.
- Not “streamline reporting workflows” but “the monthly report takes two days and is wrong by the time it is sent”.
- Not “optimise onboarding” but “new hires ask the same six questions and nobody has time to answer them”.
Those sentences are longer, uglier and far less elegant than the abstractions. They also get recognised, and recognition is the entire job of the first screen.
Where to find the sentences
You cannot invent them at a whiteboard. They exist already, in places most marketing teams do not read:
- Sales call recordings, in the first two minutes before anyone starts pitching.
- Support tickets, especially the angry ones — anger is specific.
- Churn interviews, where people are unusually honest because they have nothing left to lose.
- Review sites, where buyers explain your product to strangers in language you would never choose.
- Your own inbound emails, in the line that starts “we’re currently doing this manually and…”
Collect fifty of these verbatim. The repeated phrases are your headline, already written by the people you are trying to reach.
Features still matter — later
This is not an argument for vagueness. Once a buyer recognises the problem, they need proof you can solve it, and that proof is entirely features: what it does, what it connects to, what it costs, what it will not do. The mistake is sequence, not substance. Problem first to earn attention, mechanism second to earn belief, evidence third to earn the trial.
The most common version of this fix takes an afternoon. Take your current headline, find the problem sentence buried in paragraph three, and swap them. Most software homepages already contain the right words — they are just in the wrong order, sitting below the fold where nobody scrolls.
Pull the last ten sales calls and write down the first sentence each prospect used to describe why they took the meeting. Put the most repeated one at the top of your homepage, more or less as they said it. Then measure whether people scroll further than they used to — that is the metric this changes first.